Free Writing Prospectus Filed pursuant to Rule 433 Registration Statement No. 333-184193 Dated: July 3, 2014 Equity Risk Premia An Alternative Approach to Equity Market Beta June 30, 2014 |
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Motivation -- Investors are increasingly aware of the need to diversify away from traditional assets -- Traditional portfolios of equities and bonds can be dominated by equity risk in times of market stress -- Alternative investments have become a step toward the solution -- Allocation to alternatives can be diversifying, but may require a significant cost to access -- However, even the "Yale Model" of seeking diversification through allocation to alternative investments --hedge funds, private equity funds, commodities and real estate -- proved ineffective during the most recent financial crisis -- Is true diversification fundamentally unachievable? -- Gradually, a new paradigm may be emerging -- diversification through investment in risk factors, or risk "premia" -- Old ideas, applied in new ways -- Capturing liquid, uncorrelated sources of return -- Simple, logical and well documented strategies -- Portfolios constructed to maximize diversification benefits Page 2 |
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What Do We Mean By Risk Premia? -- A premium generated for taking a certain type of risk -- Persistent source of potential return that can be accessed systematically, also referred to as a risk factor or alternative beta -- Some risk factors represent simple exposure to the excess return of an asset class, such as the equity risk premium or the credit risk premium -- Others represent systematic investment in assets with certain characteristics or trading of related instruments to capture relative value: -- Equity investment strategies such as value, size and momentum -- Convertible arbitrage and merger arbitrage strategies -- Implied/realized volatility strategies -- Also present beyond the equity space, in strategies such as FX carry and rates term structure carry -- Most well-known risk factors have been analyzed extensively in academic and practitioner literature Page 3 |
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The Investment Universe Market Risk, Alternative Beta and Alpha -- The investment universe can be divided into three categories: Alpha + Alternative Beta + Market Risk -- "Beta" -- Pure alpha is what is left after market risk and alternative beta are accounted for -- A valuable manager is one who can provide alpha over and above the various beta premiums -- A valuable manager should be able to offer market timing expertise -- A high management fee is justifiable for a valuable manager providing pure alpha, while efficient capture of market risk and alternative beta can be achieved without involving managers -- The primary focus of DB's approach is efficient alternative beta captured in a cost-effective way Page 4 |
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Identifying Risk Factors -- When identifying risk factors for investment, it is important that they meet several criteria: -- Explainable: risk factors should have a strong basis for existence -- Persistent: there must be a rationale for the persistence of the risk factor -- Attractive risk/return: it is important for risk factors to have attractive return characteristics in isolation -- Unique: in the portfolio framework it is important to find uncorrelated sources of return -- risk factors should exhibit low correlations to traditional market betas and to other risk factors being considered for investment -- Accessible: risk factors must be accessible at a level of cost that is sufficiently low to avoid dilution of the return -- The explanations for why a premium exists can generally be placed into one of the following: -- Risk-Based: The premium is a compensation for taking on a systematic risk -- Behavioral : The premium occurs due to persistent behavior of investors in the market place -- Structural : The premium results from industry structure, constraints or targets -- Often more than one of the categories apply to any one risk factor, and sometimes all three categories are applicable Page 5 |
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Implementing Risk Factors -- The key to efficient risk factor implementation is taking a disciplined and systematic approach --skill lies in designing strategies that are simple and robust -- Our approach is to isolate factors that meet the following criteria: -- Fully transparent: strategies are fully systematic and work within well-defined rules -- Liquid: strategies are designed to allow cost-efficient entry and exit to investors with no lock-ups -- Low cost: a well-defined systematic approach allows efficient transactions costs -- Flexible access: strategies can be accessed in a variety of formats -- either funded or unfunded as a portfolio overlay and in a variety of wrappers -- Portfolio construction then involves combining a range of these return generators that are designed to capture different sources of risk premium -- By creating a portfolio of liquid risk factors it is possible to build a more diversified portfolio, thereby reducing drawdown risk and improving risk-adjusted returns Page 6 |
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Equity Risk Factors Examples -- DB has surveyed a universe of well documented equity risk factors -- Value -- The concept of value investing is founded on the belief that cheap stocks outperform expensive stocks in the long-run. The landmark Fama-French paper from 1992 identified a systematic approach to value investing -- An example of traditional measures of value are ratios such as Price-to-Earnings and Enterprise Value-to-EBITDA where investment are made into companies that are viewed as cheap -- Growth -- Growth investing involves investing in stocks whose earnings are expected to grow at an above-average rate as compared to their industry or overall market -- Examples of measuring growth include 12-month trailing EPS growth, long-term EPS growth, current P/E vs. 5Y P/E and 12-month trailing dividend growth -- Quality -- In reporting seasons, earnings quantity tends to get the most attention -- in reality though the quality of earnings is a better gauge of future earnings performance -- Accruals -- the difference between cash and accounting earnings -- can be a good inverse measure of earnings quality. Accrual earnings have been less reliable than cash earnings because they involve subjective judgments regarding the period in which revenues and expenses are recognized -- Academic research (Sloan) has highlighted that earnings performance related to accruals exhibits lower persistence than earnings attributed to cash flow Page 7 |
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Equity Risk Factors Examples (con't) -- Momentum -- Prior stock returns have been shown to have explanatory power -- this temporal pattern in prices is referred to as momentum -- Jegadeesh and Titman (1993) show that a strategy that simultaneously buys past winners and sells past losers generates significant abnormal returns over holding periods of 3 to 12-months -- Size -- The Fama-French (1992) paper argues that investors have historically received additional returns by investing in stocks of companies with relatively small market capitalization -- Low Beta/Volatility -- Historical long term studies (Baker) show that low volatility and low beta portfolios can offer a combination of high average returns coupled with low drawdowns -- Explanations for structural alpha in low-risk stocks appear to be rooted in irrational investor behavior leading to market inefficiency -- Metrics used to monetize the low risk factor include realized volatility and market beta Page 8 |
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Equity Risk Premia Investment Choices -- The following risk factors in particular have been found to generally display persistent and attractive risk-return characteristics: -- Value -- Low Beta -- Quality -- Momentum -- Investors can look at investing in risk factors in multiple ways -- One option would be to look at each individual risk factor -- Assess an existing portfolio for specific risk factor exposures -- Use individual risk factors to address over- or under-exposures in the portfolio -- Another option is to allocate to a basket of investible risk factors -- The investor may benefit from low correlation between factors in the basket -- The correlation of the basket to the existing portfolio may also be low Page 9 |
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Note: The Value Index did not exist prior to July 1, 2013 (the
"Live Date"). The Value Index has very limited performance history and no
actual investment which allowed tracking of the performance of the Value Index
was possible before the Live Date. All results prior to the Live Date were
retrospectively calculated. Accordingly, the results shown during the
retrospective period are hypothetical and do not reflect actual returns. Past
performance is not necessarily indicative of how an index will perform in the
future. The performance of any investment product based on the Value Index
would have been lower than the Value Index as a result of fees and/or costs.
See Risk Factors for more information. "MSCI World 'ER'" is the cumulative
daily Page 10 return of the MSCI World TR Net USD Index over the Fed Funds
Effective Rate. Source: Deutsche Bank, Bloomberg Finance L.P., 2014
DB Equity Value
Factor MSCI World "ER"
--------------- --------------------
Jan 6, 2000 - Jun 30, 2014
--------------------- ------------------------------------
Return Over Period 326.6% 25.1%
--------------------- --------------- --------------------
Annualized Return 10.5% 1.6%
--------------------- --------------- --------------------
Volatility 9.6% 17.4%
--------------------- --------------- --------------------
Sharpe Ratio 1.1 0.1
--------------------- --------------- --------------------
Max. Drawdown -20.5% -59.0%
--------------------- --------------- --------------------
Start Date Jan 10, 2000 Nov 1, 2007
--------------------- --------------- --------------------
End Date (Recovery) Nov 13, 2000 Aug 2, 2013
--------------------- --------------- --------------------
Monthly Returns
--------------------- --------------- --------------------
% Positive 64.2% 57.8%
--------------------- --------------- --------------------
Best 13.8% 11.2%
--------------------- --------------- --------------------
Worst -9.9% -19.0%
--------------------- --------------- --------------------
Correlation to Factor 0.07
--------------------- --------------- --------------------
Performance Analysis
Equity Value Factor Index
Retrospective Performance
(BBG: DBGLSNVU)
Performance Annual Returns
12-Month Volatility
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Equity Low Beta Factor Index
Retrospective Performance
(BBG: DBGLSTBU)
Performance Annual Returns
Note: The Low Beta Index did not exist prior to July 1, 2013
(the "Live Date"). The Low Beta Index has very limited performance history and
no actual investment which allowed tracking of the performance of the Low Beta
Index was possible before the Live Date. All results prior to the Live Date
were retrospectively calculated. Accordingly, the results shown during the
retrospective period are hypothetical and do not reflect actual returns. Past
performance is not necessarily indicative of how an index will perform in the
future. The performance of any investment product based on the Low Beta Index
would have been lower than the Low Beta Index as a result of fees and/or costs.
See Risk Factors for more information. "MSCI World 'ER'" is the cumulative Page
11 daily return of the MSCI World TR Net USD Index over the Fed Funds Effective
Rate. Source: Deutsche Bank, Bloomberg Finance L.P., 2014
DB Equity Low Beta
Factor MSCI World "ER"
------------------ --------------------
Feb 7, 2000 - Jun 30, 2014
--------------------- ---------------------------------------
Return Over Period 160.3% 22.8%
--------------------- ------------------ --------------------
Annualized Return 6.9% 1.4%
--------------------- ------------------ --------------------
Volatility 7.4% 17.5%
--------------------- ------------------ --------------------
Sharpe Ratio 0.9 0.1
--------------------- ------------------ --------------------
Max. Drawdown -26.9% -59.0%
--------------------- ------------------ --------------------
Start Date Jun 5, 2007 Nov 1, 2007
--------------------- ------------------ --------------------
End Date (Recovery) Feb 28, 2013 Aug 2, 2013
--------------------- ------------------ --------------------
Monthly Returns
--------------------- ------------------ --------------------
% Positive 66.9% 58.1%
--------------------- ------------------ --------------------
Best 5.1% 11.2%
--------------------- ------------------ --------------------
Worst -7.3% -19.0%
--------------------- ------------------ --------------------
Correlation to Factor 0.34
--------------------- ------------------ --------------------
Performance Analysis 12-Month Volatility
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Equity Quality Factor Index
Retrospective Performance
(BBG: DBGLSNQU)
Performance Annual Returns
Performance Analysis 12-Month Volatility
DB Equity Quality
Factor MSCI World "ER"
----------------- -------------------
Feb 7, 2000 - Jun 30, 2014
--------------------- -------------------------------------
Return Over Period 92.1% 22.8%
--------------------- ----------------- -------------------
Annualized Return 4.6% 1.4%
--------------------- ----------------- -------------------
Volatility 7.4% 17.5%
--------------------- ----------------- -------------------
Sharpe Ratio 0.6 0.1
--------------------- ----------------- -------------------
Max. Drawdown -24.2% -59.0%
--------------------- ----------------- -------------------
Start Date Oct 11, 2002 Nov 1, 2007
--------------------- ----------------- -------------------
End Date (Recovery) Jul 11, 2008 Aug 2, 2013
--------------------- ----------------- -------------------
Monthly Returns
--------------------- ----------------- -------------------
% Positive 60.5% 58.1%
--------------------- ----------------- -------------------
Best 8.1% 11.2%
--------------------- ----------------- -------------------
Worst -7.1% -19.0%
--------------------- ----------------- -------------------
Correlation to Factor -0.19
--------------------- ----------------- -------------------
Note: The Quality Index did not exist prior to July 1, 2013 (the
"Live Date"). The Quality Index has very limited performance history and no
actual investment which allowed tracking of the performance of the Quality
Index was possible before the Live Date. All results prior to the Live Date
were retrospectively calculated. Accordingly, the results shown during the
retrospective period are hypothetical and do not reflect actual returns. Past
performance is not necessarily indicative of how an index will perform in the
future. The performance of any investment product based on the Quality Index
would have been lower than the Quality Index as a result of fees and/or costs.
See Risk Factors for more information. "MSCI World 'ER'" is the cumulative
daily Page 12 return of the MSCI World TR Net USD Index over the Fed Funds
Effective Rate. Source: Deutsche Bank, Bloomberg Finance L.P., 2014
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Equity Momentum Factor Index
Retrospective Performance
(BBG: DBGLSNMU)
Performance Annual Returns
Performance Analysis 12-Month Volatility
DB Equity Momentum
Factor MSCI World "ER"
------------------ ---------------------
Jan 9, 2001 - Jun 30, 2014
--------------------- ----------------------------------------
Return Over Period 25.6% 47.8%
--------------------- ------------------ ---------------------
Annualized Return 1.7% 2.9%
--------------------- ------------------ ---------------------
Volatility 8.7% 17.6%
--------------------- ------------------ ---------------------
Sharpe Ratio 0.2 0.2
--------------------- ------------------ ---------------------
Max. Drawdown -27.1% -59.0%
--------------------- ------------------ ---------------------
Start Date Jul 15, 2008 Nov 1, 2007
--------------------- ------------------ ---------------------
End Date (Recovery) Jun 30, 2014 Aug 2, 2013
--------------------- ------------------ ---------------------
Monthly Returns
--------------------- ------------------ ---------------------
% Positive 56.5% 59.0%
--------------------- ------------------ ---------------------
Best 7.9% 11.2%
--------------------- ------------------ ---------------------
Worst -7.4% -19.0%
--------------------- ------------------ ---------------------
Correlation to Factor -0.03
--------------------- ------------------ ---------------------
Note: The Momentum Index did not exist prior to July 1, 2013
(the "Live Date"). The Momentum Index has very limited performance history and
no actual investment which allowed tracking of the performance of the Momentum
Index was possible before the Live Date. All results prior to the Live Date
were retrospectively calculated. Accordingly, the results shown during the
retrospective period are hypothetical and do not reflect actual returns. Past
performance is not necessarily indicative of how an index will perform in the
future. The performance of any investment product based on the Momentum Index
would have been lower than the Momentum Index as a result of fees and/or costs.
See Risk Factors for more Page 13 information. "MSCI World 'ER'" is the
cumulative daily return of the MSCI World TR Net USD Index over the Fed Funds
Effective Rate. Source: Deutsche Bank, Bloomberg Finance L.P., 2014
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DB Equity Risk Premia 5% VT Portfolio
Retrospective Performance
(BBG: DBGLRP5U)
Performance Annual Returns
Performance Analysis 12-Month Volatility
DB Equity Risk Premia
5% VT Portfolio MSCI World "ER"
--------------------- -------------------
Feb 20, 2002 - Jun 30, 2014
--------------------- -----------------------------------------
Return Over Period 172.8% 92.7%
--------------------- --------------------- -------------------
Annualized Return 8.5% 5.4%
--------------------- --------------------- -------------------
Volatility 5.1% 17.8%
--------------------- --------------------- -------------------
Sharpe Ratio 1.7 0.3
--------------------- --------------------- -------------------
Max. Drawdown -8.5% -59.0%
--------------------- --------------------- -------------------
Start Date Nov 20, 2008 Nov 1, 2007
--------------------- --------------------- -------------------
End Date (Recovery) Sep 14, 2010 Aug 2, 2013
--------------------- --------------------- -------------------
Monthly Returns
--------------------- --------------------- -------------------
% Positive 73.6% 61.5%
--------------------- --------------------- -------------------
Best 4.2% 11.2%
--------------------- --------------------- -------------------
Worst -3.5% -19.0%
--------------------- --------------------- -------------------
Correlation to Factor 0.24
--------------------- --------------------- -------------------
Note: The Risk Premia Portfolio did not exist prior to September
30, 2013 (the "Live Date"). The Risk Premia Portfolio has very limited
performance history and no actual investment which allowed tracking of the
performance of the Risk Premia Portfolio was possible before the Live Date. All
results prior to the Live Date were retrospectively calculated. Accordingly,
the results shown during the retrospective period are hypothetical and do not
reflect actual returns. Past performance is not necessarily indicative of how
an index will perform in the future. The performance of any investment product
based on the Risk Premia Portfolio would have been lower than the Risk Premia
Portfolio as a result of fees and/or costs. See Risk Page 14 Factors for more
information. "MSCI World 'ER'" is the cumulative daily return of the MSCI World
TR Net USD Index over the Fed Funds Effective Rate. Source: Deutsche Bank,
Bloomberg Finance L.P., 2014
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Implementation The Impact of a Shift to Risk Premia |
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Reduction of Drawdowns
-- By diversifying away from traditional equity beta it is possible to
construct a portfolio that significantly reduces drawdowns
-- The chart below shows the historical drawdowns of the Risk Premia Portfolio
compared to a long equity exposure (MSCI World)
Drawdowns of DB Equity Risk Premia Portfolio compared to MSCI World
Note: The Risk Premia Portfolio did not exist prior to September
30, 2013 (the "Live Date"). The Risk Premia Portfolio has very limited
performance history and no actual investment which allowed tracking of the
performance of the Risk Premia Portfolio was possible before the Live Date. All
results prior to the Live Date were retrospectively calculated. Accordingly,
the results shown during the retrospective period are hypothetical and do not
reflect actual returns. Past performance is not necessarily indicative of how
an index will perform in the future. The performance of any investment product
based on the Risk Premia Portfolio would have been lower than the Risk Premia
Portfolio as a result of fees and/or costs. See Risk Page 16 Factors for more
information. "MSCI World 'ER'" is the cumulative daily return of the MSCI World
TR Net USD Index over the Fed Funds Effective Rate. Source: Deutsche Bank,
Bloomberg Finance L.P., 2014
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Implementation Example
-- As an example, we proxy a basic 60% equity and 40% fixed income portfolio
and quantify the impact of a portfolio reallocation and the addition of a risk
premia overlay -- We move 5% of the portfolio's notional from the equity
allocation into cash and add a 25% risk premia allocation as an overlay -- The
risk reduction in the overall portfolio allows for a substantial allocation to
be made to the DB Equity Risk Premia 5% VT Portfolio
-- The 25% allocation to the risk premia overlay would have resulted in both an
overall risk reduction and improvement in returns (see returns on next page)
Initial Portfolio
Investment Proxy Capital Notional Allocation Exposure
Equity MSCI World Index 60% 60%
Fixed Income JPM Global Aggregate Bond Index 40% 40%
Reallocated Portfolio
Investment Proxy Capital Notional Allocation Exposure
Equity MSCI World Index 55% 55% Fixed Income JPM Global Aggregate Bond
Index 40% 40% Cash DB Fed Funds Index 5% 5%
Risk Premia DB Equity Risk Premia 5% VT
0% 25% Overlay Portfolio
Note: The portfolios are calculated on a total return basis and
are rebalanced annually Page 17
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Reallocation
Shifting 5% from Equity into Cash and Overlaying Risk Premia
Performance Annual Returns
350
30% Reallocated Portfolio with Risk Premia Overlay
300 20% Original Portfolio 250 10%
200
0% 150 -10%
Reallocated Portfolio with 100 Risk Premia Overlay -20% Original
Portfolio 50
-30% 0
2003 2004 2005 2006 2007 2008 2009 2010
2011 2012 2013 2014 Feb-2002 Feb-2004 Feb-2006 Feb-2008 Feb-2010 Feb-2012
Feb-2014
Performance Analysis 12-Month Volatility
Reallocated Portfolio 30% with Risk Premia Reallocated Portfolio with Risk
Premia
Overlay Original Portfolio Overlay 25%
Feb 20, 2002 - Jun 30, 2014 Original
Portfolio Return Over Period 209.8% 149.6% 20% Annualized Return 9.6% 7.7%
Volatility 9.8% 10.3% 15% Sharpe Ratio 0.8 0.6 Max. Drawdown -33.5% -36.6%
Start Date Nov 1, 2007 Nov 1, 2007 10% End Date Sep 24, 2010 Oct 14, 2010
Monthly Returns 5% % Positive 67.6% 62.8% Best 6.3% 7.0% 0%
Worst -10.7% -12.1% Feb-2003 Feb-2005 Feb-2007 Feb-2009 Feb-2011 Feb-2013
Note: The Risk Premia Portfolio used for calculating the
Reallocated Portfolio with Risk Premia Overlay did not exist prior to September
30, 2013 (the "Live Date"). The Risk Premia Portfolio has very limited
performance history and no actual investment which allowed tracking of the
performance of the Portfolio was possible before the Live Date. All results
with respect to the Risk Premia Portfolio and the Reallocated Portfolio with
Risk Premia Overlay prior to the Live Date were retrospectively calculated.
Accordingly, the results shown during the retrospective period are hypothetical
and do not reflect actual returns. Past performance is not necessarily
indicative of how an index or a portfolio will perform in the future. The Page
18 performance of any investment product based on the Risk Premia Portfolio
would have been lower than the Risk Premia Portfolio as a result of fees and/or
costs. Source: Deutsche Bank, Bloomberg Finance L.P., 2014
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Appendix I Equity Risk Factors: In-Depth Analysis |
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DB Equity Value Factor Introduction -- The landmark paper on Value investing (in a systematic context) is the original Fama-French paper from 1992 which argued that cheap stocks outperform expensive stocks in the long-run -- Explanations for the premium: -- Risk-based: the Value premium is a rational phenomenon, which is priced in equilibrium, and represents compensation for systematic risk (exposure to financial distress, gearing, cash flow risk, volatility risk) -- Behavioral: investor overreaction -- Structural: money managers and pension funds gravitating towards successful growth-orientated names. VAR limits may prevent investors from accessing cheap assets -- Risk-based explanations have significant support in academia. There has been increasing evidence of the Value premium being explained by modeling economic uncertainty (eg. Bali and Zhou (2012)) -- The Value premium has all the characteristics of a "true" premium: It is not confined to one market or geography; it is not limited to one size segment. Value strategies have been successful in sector and country selection. And finally, there is burgeoning evidence of a value premium across asset classes (for example, see "Value and Momentum Everywhere", Asness et al, 2010) Page 20 Source: Deutsche Bank |
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DB Equity Value Factor Metrics -- There are various valuation metrics that can be used to gauge the relative cheapness or expensiveness of a company -- The DB Equity Value Factor scores stocks based on one defensive and one cyclical measure of value -- Defensive: 12-month Trailing Dividend Yield -- Cyclical: EV/EBITDA (the inverse, EBITDA/EV is used to score the stocks) -- Why EV/EBITDA? -- P/E ratios are impacted by a company's choice of capital structure; companies that raise money via debt will have lower P/E's than companies that raise an equivalent amount of money by issuing shares -- Enterprise Value includes the value of debt -- EBITDA excludes interest payments on that debt and also excludes the cost of upfront investments or capital expenditures which can make it a more appropriate measure of a business's underlying profit potential Page 21 Source: Deutsche Bank |
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DB Equity Value Factor
Sector Neutralization
-- Value tends to tilt toward specific sectors due to structural industry
biases -- For example: Technology vs. Financials vs. Industrials
-- Younger technology companies may have a smaller focus on earnings
and dividend yields -- Industrials may focus heavily on earnings -- Financials
may focus more on dividends -- These sector biases are not necessarily
reflective of relative value of the companies cross-sector
-- The Value score of each stock is adjusted to take into account the average
score for that stock's sector, in order to mitigate the sector bias inherent in
the value metrics
Page 22 Source: Deutsche Bank
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DB Equity Value Factor Index Construction -- For the MSCI World universe of stocks, we determine the 12-month Trailing Dividend Yield and EBITDA/EV -- The metrics are then normalized and sector-adjusted to get a Value score -- We rank the stocks according to their Value score -- The universe is then divided into five quintiles based on that score -- The stocks in the Top quintile (high Value score) constitute the Long Value basket, and the stocks in the Bottom quintile (low Value score) constitute the Short Value basket -- The process is repeated every month and the stocks in both baskets are equally weighted -- The Long and Short baskets are then combined to form the aggregated Value Factor Page 23 Source: Deutsche Bank |
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DB Equity Low Beta Factor Introduction -- The Low Beta anomaly is often considered to be one of the greatest anomalies in finance -- Based on a study of stock returns between 1968 and 2008, Baker et al. (2011) find that low volatility and low beta portfolios offer an enviable combination of high average returns and small drawdowns -- Although the anomaly has received particular interest in recent years, it was actually pointed out decades ago (eg. Black, Jensen and Scholes (1972), Haugen and Baker (1991)) -- Explanations for the premium: -- Behavioral and Structural: Attention bias and overconfidence -- One of the main reasons behind the Low Beta premium are institutional constraints. Fixed-benchmark mandates (capitalization weighted) discourage investments in low-volatility stocks and are usually accompanied by leverage constraints -- The Low Beta premium appears robust to time periods, geographies, and even asset classes, rendering it a powerful candidate for a consistent return source (Frazzini and Pedersen (2011)) -- Structural conditions suggest future persistence of the premium: -- Popular benchmarking methods would inhibit many "smart" investors from exploiting it -- For the low beta anomaly to erode significantly, either the market capitalization benchmark would need to be gradually abolished, or a separate allocation to low risk (low beta/low volatility) strategies would need to be made an essential part of strategic asset allocation frameworks Page 24 Source: Deutsche Bank |
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DB Equity Low Beta Factor Beta Neutralization -- A simple long-low-beta/short -high-beta strategy fails to generate abnormal returns, despite the long leg exhibiting significantly higher risk-adjusted returns compared to the short leg -- A reason for this lies in the asymmetry of the volatilities of both legs, as well as the inherent negative beta exposure of the strategy -- To mitigate the asymmetry, the exposure to the long leg is kept at 100%, and the exposure to the short leg is reduced to match the long leg's beta Page 25 Source: Deutsche Bank |
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DB Equity Low Beta Factor Index Construction -- On a monthly basis, the 5-year rolling beta of each stock, in relation to the MSCI World Equal Weight Index, is computed using daily returns -- We rank the stocks according to their Beta, low to high -- The universe is then divided into five quintiles -- The stocks in the Top quintile (low Beta) constitute the Long Beta basket, and the stocks in the Bottom quintile (high Beta) constitute the Short Beta basket -- To address turnover control, the ranking is further split into deciles -- If a stock's beta moves to an adjacent quintile, there is minimal impact on the strategy's profile -- For existing constituents, unless its Beta moves below (above) the 4(th) (6(th)) decile, it will not be removed from the long (short) portfolio upon rebalancing -- The process is repeated every month and the stocks in both baskets are equally weighted -- To neutralize beta, the exposure to the Short basket is reduced by a factor equivalent to the ratio of the overall beta of the Long basket to the overall beta of the Short basket -- The difference in exposure between the two baskets is made up by adding a cash component to the short basket -- The Long basket and the Short basket are combined to create the aggregated Low Beta Factor Page 26 Source: Deutsche Bank |
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DB Equity Quality Factor Introduction -- The strength and composition of a company's balance sheet, the source of its earnings, the ability of a company to generate profits, the rate at which it turns over its assets, and the reputation of its management could all be considered aspects of a company's "quality" -- Explanations for the premium -- Behavioral: There is an attention bias; investors tend to look more at earnings quantity versus earnings quality (Sloan, "Do Stock Prices Fully Reflect Information in Accruals and Cash Flow about Future Earnings?", The Accounting Review, July 1996) -- From a rational expectations point of view, quality is about changing expectations of future cash flows, and changing perceptions of quality should be expected to move stock prices -- The Quality anomaly seems to be a strong predictor of returns in international stock markets, across various time periods and market segments Page 27 Source: Deutsche Bank |
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DB Equity Quality Factor Metrics -- The DB Equity Quality Factor uses a measure of earnings quality and a measure of profitability -- Earnings Quality: represented by Accruals as an inverse indicator -- Profitability: represented by Return on Invested Capital -- Accrual accounting attempts to match expenses with associated revenues, with a substantial amount of discretion left to managers -- Revenues and expenses for a certain financial year can be recognized more or less aggressively with the consequence that subsequent years will depend on bookings from the previous years -- The degree to which a company relies on accruals to boost net income results in lower quality earnings -- Accruals are represented by the year on year Change in Net Operating Assets, normalized by the previous year's Net Operating Assets -- Operating assets are calculated as the residual from total assets after subtracting financial assets, and operating liabilities are the residual amount from total assets after subtracting equity and financial liabilities Page 28 Source: Deutsche Bank |
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DB Equity Quality Factor Sector Neutralization -- Quality tends to tilt toward specific sectors due to structural industry biases -- For example, industrial companies may operate businesses with stricter accounting rules with less potential for accruals, while technology or service companies may operate businesses with less strict accounting rules and more potential for accruals -- These sector biases are not necessarily reflective of relative quality of the companies cross-sector -- The Quality score of each stock is adjusted to take into account the average score for that stock's sector, in order to mitigate the sector bias inherent in the Quality metrics Page 29 Source: Deutsche Bank |
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DB Equity Quality Factor Index Construction -- For the MSCI World Universe of stocks, the accruals and profitability score are determined and then adjusted for sector -- The normalized and sector-adjusted accruals score is then subtracted from the normalized and sector-adjusted profitability score to arrive at the final Quality score of the stock -- The stocks are ranked according to their Quality score, high to low -- The universe is then divided into five quintiles based on that score -- The stocks in the Top quintile (high Quality score) constitute the Long Quality basket, and the stocks in the Bottom quintile (low Quality score) constitute the Short Quality basket -- The process is repeated every month and the stocks in both baskets are equally weighted -- The Long and Short baskets are then combined to form the aggregated Quality Factor Page 30 Source: Deutsche Bank |
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DB Equity Momentum Factor Introduction -- Prior stock returns have been shown to have explanatory power in the cross section of common stock returns (eg. Jegadeesh and Titman's (1993), Carhart (1997)) independent of market, size, or value factors. An abundance of empirical evidence in favor of the Momentum factor exists in the academic literature -- Explanations for the premium: -- Risk-Based: momentum profits represent reward for priced business cycle risk, and trends in the business cycle drive trends in prices (and vice versa). Momentum is related to economic distress risk and consumption risk -- Behavioral: initial under-reaction followed by over-reaction induces price trends. Overconfidence leads to extrapolation of past price trends -- Structural: closet index tracking by fund managers (market indices exhibit momentum) -- It is likely that none of the above explanations in their own right are adequate to explain the existence and persistence of this phenomenon over time -- Momentum is one of the strongest premiums/anomalies, which though less profitable over the past decade, still may persist in the future based on its pervasiveness across assets, geographies, and time periods Page 31 Source: Deutsche Bank |
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DB Equity Momentum Factor
Horizon Performance
-- First-11-Month Momentum, despite its popularization in both academic and
investment circles following the Carhart (1997) publication, has remained the
most profitable look-back window to define momentum stocks
-- All else being equal, we give preference to a longer look-back horizon
because it will require less turnover and, on average, impose less transaction
costs
Return to momentum across different look-back horizons Sharpe ratios across
different look-back horizons
1.00% 0.6
0.4 0.50% 0.2
0.00% 0 return spread (%) Annualized Sharpe Ratio -0.2 -0.50%
Average monthly long/short decile -0.4 -1.00% -0.6
1 Month 3-1 Month 6-1 Month 9-1 Month 12-1Month 1 Month 3-1 Month 6-1 Month
9-1 Month 12-1Month Momentum Momentum Momentum Momentum Momentum Momentum
Momentum Momentum Momentum Momentum
Page 32 Source: Axioma, Bloomberg Finance LLP, Compustat, IBES, S&P, Thomson
Reuters, MSCI, BMI, Deutsche Bank
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DB Equity Momentum Factor Performance and Risk -- The strong positive returns of momentum strategies are punctuated with strong reversals, or "crashes. " Like the returns to the carry trade in currencies, momentum returns are negatively skewed -- These drawdowns in the strategy coincide with periods of strong and sudden reversals in market sentiment or investor risk aversion -- For example: the technology bubble crash starting in the spring of 2000; the re-risking episode after the end of the bear market at the end of 2002; the re-risking episode in the spring of 2009 following the financial crises -- Additionally, the momentum portfolio will typically be concentrated in stocks with attributes that are common across relative winners (e.g. defensive stocks, growth stocks) -- For example, when market sentiment is strong and investor risk appetite is high, momentum strategies commonly have a strong tilt towards higher volatility stocks (e.g. technology bubble period); similarly, when investors are decreasing risk appetite, momentum strategies will align themselves with a tilt towards less volatile stocks (e.g. early to end of 2008) Page 33 Source: Deutsche Bank |
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DB Equity Momentum Factor Risk Neutralization -- According to academic research, momentum is to a great extent related to sector effects (Moskowitz and Grinblatt, 1999) as well as country exposures -- Constraints on region and sectors mitigate the drawdown, but suppresses performance -- We utilize a factor neutralization approach to reduce exposure to market beta/volatility -- Our momentum metric is the traditional First-11-Month Momentum, uncontrolled for sector or region -- We use idiosyncratic (stock-specific) volatility, measured as the volatility of each stock relative to a market, as a proxy for risk -- We compute a risk-neutralized Momentum score incorporating each stock's momentum and idiosyncratic volatility and the relationship between that volatility and market momentum generally Page 34 Source: Deutsche Bank |
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DB Equity Momentum Factor Index Construction -- Using the MSCI World universe, with total returns in USD, the risk-neutralized Momentum scores are calculated -- Correlations and volatilities needed for the neutralization are computed based on 1-year rolling daily returns -- The stocks are ranked according to their Momentum score, high to low -- The universe is then divided into five quintiles based on that score -- The stocks in the Top quintile (high Momentum score) constitute the Long Momentum basket -- The process is repeated every month and the stocks in Long basket are equally weighted -- The strategy is long the Long Momentum basket and short the benchmark (MSCI World) Page 35 Source: Deutsche Bank |
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Appendix II Portfolio Construction |
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Effect of Combining Individual Risk Factors
-- By combining risk factors, it is possible to achieve a significant
diversification benefit and improved risk adjusted returns Performance 12-Month
Volatility
Risk Premia DB Equity Value DB Equity Low DB Equity Quality DB Equity
Basket Factor Beta Factor Factor Momentum Factor
------------ --------------- ------------- ----------------- ----------------
Feb 20, 2002 - Jun 30, 2014
--------------------- ------------ ----------------------------------------------- ----------------
Return Over Period 83.1% 149.7% 103.3% 39.9% 15.1%
--------------------- ------------ --------------- ------------- ----------------- ----------------
Annualized Return 5.0% 7.7% 5.9% 2.8% 1.1%
--------------------- ------------ --------------- ------------- ----------------- ----------------
Volatility 3.3% 9.1% 7.7% 7.0% 9.0%
--------------------- ------------ --------------- ------------- ----------------- ----------------
Sharpe Ratio 1.5 0.8 0.8 0.4 0.1
--------------------- ------------ --------------- ------------- ----------------- ----------------
Max. Drawdown -7.2% -16.6% -26.9% -24.2% -27.1%
--------------------- ------------ --------------- ------------- ----------------- ----------------
Start Date Nov 20, 2008 May 25, 2007 Jun 5, 2007 Oct 11, 2002 Jul 15, 2008
--------------------- ------------ --------------- ------------- ----------------- ----------------
End Date (Recovery) Sep 17, 2010 Apr 2, 2009 Feb 28, 2013 Jul 11, 2008 Jun 30, 2014
--------------------- ------------ --------------- ------------- ----------------- ----------------
Monthly Returns
--------------------- ------------ --------------- ------------- ----------------- ----------------
% Positive 73.6% 61.5% 64.8% 60.0% 55.9%
--------------------- ------------ --------------- ------------- ----------------- ----------------
Best 2.9% 13.8% 4.2% 8.1% 4.8%
--------------------- ------------ --------------- ------------- ----------------- ----------------
Worst -3.0% -4.8% -7.3% -7.1% -7.4%
--------------------- ------------ --------------- ------------- ----------------- ----------------
Correlation to Basket 0.31 0.63 0.43 0.28
--------------------- ------------ --------------- ------------- ----------------- ----------------
Individual Risk Factor Correlations
--------------------------------------
Quality Momentum Low Beta
--------- ------- -------- -----------
Value 1.2% -45.2% -0.3%
--------- ------- -------- -----------
Quality -21.1% -3.6%
--------- ------- -------- -----------
Momentum 11.4%
------- --------
The Risk Premia Basket contains the Equity Value, Equity Low Beta, Equity
Quality and Equity Momentum factor indices. The factor indices are weighted
proportionally to the inverse of their historical realized volatilities,
rebalanced monthly. Volatility is calculated on a rolling 1-year basis using
daily returns.
Source: Deutsche Bank, Bloomberg Finance L.P., 2014
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Portfolio Construction: Introduction -- When constructing a diversified portfolio of investments we seek to: -- Maximize the benefits of diversification and low correlation between portfolio constituents -- Increase the likelihood of positive returns -- Reduce the likelihood of significant losses -- Equally weighting exposure across investments is an unbiased and simple approach but does not capture the full benefits of diversification where assets have different volatilities -- One traditional tool for portfolio construction is mean-variance optimization (MVO) -- However, MVO-based optimizations can be very sensitive to input parameters, so we tend to avoid this approach -- A Risk Parity approach seeks to construct a portfolio that allocates risk evenly between its components -- Although somewhat simplistic, Risk Parity avoids some of the sensitivity to inputs of other methods Page 38 |
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Inverse Volatility Risk Parity -- Risk Parity is a dynamic allocation mechanism which determines the weights of the portfolio components in such a way that the "risk" is distributed evenly among its components -- "Risk distribution" is achieved by assigning a lower weight to components with a high historical volatility and a higher weight to components with a low historical volatility Equal Weighted Portfolio Risk Parity Weighted Portfolio Asset Volatility Weight Risk Allocation Asset Volatility Weight Risk Allocation (Volatility x Weight) (Volatility x Weight) A 40% 33.3% 13.3% A 40% 14.3% 5.7% B 20% 33.3% 6.7% B 20% 28.6% 5.7% C 10% 33.3% 3.3% C 10% 57.1% 5.7% [] Equal nominal weights do not ensure equal risk [] Risk Parity weights are proportional to the inverse allocation of the volatility of each asset [] Asset A dominates risk whereas Asset C [] Risk Parity seeks to ensure that investment risk of contributes much less to the risk of the index the index is well distributed among its components Page 39 |
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Volatility Targeting -- With the aim of stabilizing the volatility and also to create an index with a volatility comparable to a diversified hedge fund portfolio, we created the DB Equity Risk Premia 5% VT Portfolio (the "Portfolio"), which targets an annualized volatility of 5% -- On a monthly basis, we determine a risk-parity based allocation to the four individual risk factor indices (the "risk-parity basket") -- We then calculate a hypothetical trailing 1-year volatility of the risk-parity basket -- The Portfolio increases (or decreases) its overall exposure to the risk-parity basket such that the historical volatility would have equaled 5% -- The exposure to the risk-parity basket is capped at 2 and floored at 0.5 Page 40 |
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Risk Factors THE PORTFOLIO INDEX AND THE RISK PREMIUM INDICES ARE SUBJECT TO STRATEGY RISK -- The Deutsche Bank Equity Risk Premia 5% VT Portfolio Index (the "Portfolio Index") and Deutsche Bank Value Factor Index, Quality Factor Index, Low Beta Factor Index and Momentum Factor Index (each a "Risk Premium Index") aim to generate returns by identifying persistent risk premia in the equity markets and implementing systematic strategies to access them. However, the risk premia may not persist and the Portfolio Index and the Risk Premium Indices Deutsche Bank develop to access them may fail to generate positive returns associated with such risk premia. THE PORTFOLIO INDEX AND THE RISK PREMIUM INDICES CONTAIN EMBEDDED COSTS -- The Portfolio Index is subject to a deduction for the cost of hypothetically implementing the volatility controlled, "risk-parity" weighted portfolio of Risk Premium Indices (the "Rebalancing Transaction Cost"). As a result of this deduction, the levels of the Portfolio Index will be lower than would otherwise be the case if such cost were not included. Because the Portfolio Index is linked to the performance of the weighted portfolio of four Risk Premium Indices, any deduction of costs or fees from the levels of the Risk Premium Indices will lower the level of the Portfolio Index. The calculation of each Risk Premium Index includes a daily deduction for the sum of the cost of hypothetically implementing the notional long position and short position (if applicable) . The calculation of the notional long and short positions also include a cost deduction in connection with their monthly reconstitution. As a result of these deductions, the levels of the Risk Premium Indices will be lower than would otherwise be the case if such costs were not included. These deductions of costs and fees from the levels of the Risk Premium Indices are in addition to the Rebalancing Transaction Cost at the Portfolio Index level. THE PORTFOLIO INDEX AND THE RISK PREMIUM INDICES HAVE VERY LIMITED PERFORMANCE HISTORY -- Calculation of the Portfolio Index began on September 30, 2013, and the calculation of each of the Risk Premium Indices began on July 1, 2013. Therefore, the Portfolio Index and the Risk Premium Indices have very limited performance history and no actual investment which allowed tracking of the performance of the Portfolio Index or the Risk Premium Indices was possible before their respective live dates. The index performance data prior to their respective live dates shown in this presentation have been retrospectively calculated using historical data and the same methodologies as described above. Although the Index Sponsor believes that these retrospective calculations represent accurately and fairly how these indices would have performed before their respective live dates, the Portfolio Index and the Risk Premium Indices did not, in fact, exist before their respective live dates. Furthermore, the index methodologies of the Portfolio Index or the Risk Premium Indices were designed, constructed and tested using historical market data and based on knowledge of factors that may have possibly affected their performance. The returns prior to their respective live dates were achieved by means of a retroactive application of such back-tested index methodologies designed with the benefit of hindsight. It is impossible to predict whether the Portfolio Index and the Risk Premium Indices will rise or fall. The actual performance of these indices may bear little relation to their retrospectively calculated performance. DEUTSCHE BANK AG, LONDON BRANCH, AS THE SPONSOR OF THE PORTFOLIO INDEX AND THE RISK PREMIUM INDICES, MAY ADJUST EACH INDEX IN A WAY THAT AFFECTS ITS LEVEL AND MAY HAVE CONFLICTS OF INTEREST -- Deutsche Bank AG, London Branch is the sponsor of the Portfolio Index and the Risk Premium Indices (the "Index Sponsor") and will determine whether there has been a market disruption event with respect to these indices. In the event of any such market disruption event, the Index Sponsor may use an alternate method to calculate the closing levels of the Portfolio Index and the Risk Premium Indices. The Index Sponsor carries out calculations necessary to promulgate these indices and maintains some discretion as to how such calculations are made. In particular, the Index Sponsor has discretion in selecting among methods of how to calculate the Portfolio Index and the Risk Premium Indices in the event the regular means of determining these indices are unavailable atthetimea determination is scheduled to take place. There can be no assurance that any determinations made by the Index Sponsor in these various capacities will not affect the value of the levels of these indices. Any of these actions could adversely affect the value of securities linked to these indices. The Index Sponsor has no obligation to consider the interests of holders of securities linked to the Portfolio Index or the Risk Premium Indices in calculating or revising these indices. Furthermore, Deutsche Bank AG, London Branch or one or more of its affiliates may have published, and may in the future publish, research reports on the Portfolio Index and the Risk Premium Indices or investment strategies reflected by these indices (or any transaction, product or security related to these indices or any components thereof) . This research is modified from time to time without notice and may express opinions or provide recommendations that are inconsistent with purchasing or holding of transactions, products or securities related to these indices. Any of these activities may affect the Portfolio Index and the Risk Premium Indices or transactions, products or securities related to these indices. Investor should make their own independent investigation of the merits of investing in contracts or products related to the Portfolio Index and the Risk Premium Indices. Page 41 |
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Important Information The distribution of this document and the availability of some of the products and services referred to herein may be restricted by law in certain jurisdictions. Some products and services referred to herein are not eligible for sale in all countries and in any event may only be sold to qualified investors. Deutsche Bank will not offer or sell any products or services to any persons prohibited by the law in their country of origin or in any other relevant country from engaging in any such transactions. Prospective investors should understand and discuss with their professional tax, legal, accounting and other advisors the effect of entering into or purchasing any transaction, product or security (each, a "Structured Product") .. Before entering into any Structured Product you should take steps to ensure that you understand and have assessed with your financial advisor, or made an independent assessment of, the appropriateness of the transaction in the light of your own objectives and circumstances, including the possible risks and benefits of entering into such Structured Product. Structured Products are not suitable for all investors due to illiquidity, optionality, time to redemption, and payoff nature of the strategy. Deutsche Bank or persons associated with Deutsche Bank and their affiliates may: maintain a long or short position in securities referenced herein or in related futures or options; purchase, sell or maintain inventory; engage in any other transaction involving such securities; and earn brokerage or other compensation. Any payout information, scenario analysis, and hypothetical calculations should in no case be construed as an indication of expected payout on an actual investment and/or expected behavior of an actual Structured Product. Calculations of returns on Structured Products may be linked to a referenced index or interest rate. As such, the Structured Products may not be suitable for persons unfamiliar with such index or interest rate, or unwilling or unable to bear the risks associated with the transaction. Structured Product denominated in a currency, other than the investor's home currency, will be subject to changes in exchange rates, which may have an adverse effect on the value, price or income return of the products. These Structured Product may not be readily realizable investments and are not traded on any regulated market. Structured Products involve risk, which may include interest rate, index, currency, credit, political, liquidity, time value, commodity and market risk and are not suitable for all investors. The past performance of an index, securities or other instruments does not guarantee or predict future performance. The distribution of this document and availability of these products and services in certain jurisdictions may be restricted by law. Deutsche Bank does not provide accounting, tax or legal advice. Page 42 |
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Important Information Backtested, hypothetical or simulated performance results presented herein have inherent limitations. Unlike an actual performance record based on trading actual client portfolios, simulated results are achieved by means of the retroactive application of a backtested model itself designed with the benefit of hindsight and knowledge of factors that may have possibly affected its performance. Taking into account historical events the backtesting of performance also differs from actual account performance because an actual investment strategy may be adjusted any time, for any reason, including a response to material, economic or market factors. The backtested performance includes hypothetical results that do not reflect the reinvestment of dividends and other earnings or the deduction of advisory fees, brokerage or other commissions, and any other expenses that a client would have paid or actually paid and do not account for all financial risk that may affect the actual performance of an investment. No representation is made that any trading strategy or account will or is likely to achieve profits or losses similar to those shown. Alternative modeling techniques or assumptions might produce significantly different results and prove to be more appropriate. Past hypothetical backtested results are neither an indicator nor a guarantee of future returns. Actual results will vary, perhaps materially, from the analysis. Structured Products discussed herein are not insured by the Federal Deposit Insurance Corporation (FDIC) or any other US governmental agency. These Structured Products are not insured by any statutory scheme or governmental agency of the United Kingdom. These Structured Products typically involve a high degree of risk, are not readily transferable and typically will not be listed or traded on any exchange and are intended for sale only to investors who are capable of understanding and assuming the risks involved. The market value of any Structured Product may be affected by changes in economic, financial and political factors (including, but not limited to, spot and forward interest and exchange rates), time to maturity, market conditions and volatility and the equity prices and credit quality of any issuer or reference issuer. Deutsche Bank AG has filed a registration statement (including a prospectus) with the SEC for the offerings to which this communication relates. Before you invest, you should read the prospectus in that registration statement and other documents the issuer has filed with the SEC for more complete information about the issuer and this offering. You may get these documents for free by visiting EDGAR on the SEC Web site at www.sec.gov. Alternatively, the issuer, any underwriter or any dealer participating in the offering will arrange to send you the prospectus if you request it by calling toll-free 1-800-311-4409. Additional information may be available upon request. Any results shown do not reflect the impact of commissionand/or fees, unless stated. BEFORE ENTERING INTO ANY TRANSACTION YOU SHOULD TAKE STEPS TO ENSURE THAT YOU UNDERSTAND AND HAVE MADE AN INDEPENDENT ASSESSMENT OF THE APPROPRIATENESS OF THE STRUCTURED PRODUCT IN LIGHT OF YOUR OWN OBJECTIVES AND CIRCUMSTANCES, INCLUDING THE POSSIBLE RISKS AND BENEFITS OF ENTERING INTO SUCH STRUCTURED PRODUCT. YOU SHOULD ALSO CONSIDER MAKING SUCH INDEPENDENT INVESTIGATIONS AS YOU CONSIDER NECESSARYOR APPROPRIATE FOR SUCH PURPOSE. Deutsche Bank" means Deutsche Bank AG and its affiliated companies, as the context requires. Deutsche Bank Private Wealth Management refers to Deutsche Bank's wealth management activities for high-net-worth clients around the world. Deutsche Bank Alex Brown is a division of Deutsche Bank Securities Inc. Page 43 |
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Important Information NONE OF THE PORTFOLIO INDEX, ANY RISK PREMIUM INDEX (THE RISK PREMIUM INDICES, TOGETHER WITH THE PORTFOLIO INDEX, THE "DB INDICES ") NOR ANY FINANCIAL PRODUCT IS SPONSORED, ENDORSED, SOLD OR PROMOTED BY MSCI INC., ANY OF ITS AFFILIATES, ANY OF ITS INFORMATION PROVIDERS OR ANY OTHER THIRD PARTY INVOLVED IN, OR RELATED TO, COMPILING, COMPUTING OR CREATING ANY MSCI INDEX (COLLECTIVELY, THE "MSCI PARTIES "). THE MSCI INDEXES ARE THE EXCLUSIVE PROPERTY OF MSCI. MSCI AND THE MSCI INDEX NAMES ARE SERVICE MARK(S) OF MSCI OR ITS AFFILIATES AND HAVE BEEN LICENSED FOR USE FOR CERTAIN PURPOSES BY DEUTSCHE BANK AG. NEITHER ANY DB INDEX NOR ANY FINANCIAL PRODUCT HAS BEEN PASSED ON BY ANY OF THE MSCI PARTIES AS TO ITS LEGALITY OR SUITABILITY WITH RESPECT TO ANY PERSON OR ENTITY AND NONE OF THE MSCI PARTIES MAKES ANY WARRANTIES OR BEARS ANY LIABILITY WITH RESPECT TO THE DB INDICES OR ANY FINANCIAL PRODUCT. WITHOUT LIMITING THE GENERALITY OF THE FOREGOING, NONE OF THE MSCI PARTIES MAKES ANY REPRESENTATION OR WARRANTY, EXPRESS OR IMPLIED, TO THE INDEX SPONSOR, THE RISK PREMIUM INDEX SPONSORS OR THE ISSUER OR OWNERS OF ANY FINANCIAL PRODUCT OR ANY OTHER PERSON OR ENTITY REGARDING THE ADVISABILITY OF INVESTING IN FINANCIAL PRODUCTS GENERALLY OR IN ANY FINANCIAL PRODUCT PARTICULARLY OR THE ABILITY OF ANY MSCI INDEX TO TRACK CORRESPONDING STOCK MARKET PERFORMANCE. MSCI OR ITS AFFILIATES ARE THE LICENSORS OF CERTAIN TRADEMARKS, SERVICE MARKS AND TRADE NAMES AND OF THE MSCI INDEXES WHICH ARE DETERMINED, COMPOSED AND CALCULATED BY MSCI WITHOUT REGARD TO THE DB INDICES OR ANY FINANCIAL PRODUCT OR ANY ISSUER OR OWNER OF ANY FINANCIAL PRODUCT OR ANY OTHER PERSON OR ENTITY. NONE OF THE MSCI PARTIES HAS ANY OBLIGATION TO TAKE THE NEEDS OF THE DB INDICES OR ISSUERS OR OWNERS OF ANY FINANCIAL PRODUCT OR ANY OTHER PERSON OR ENTITY INTO CONSIDERATION IN DETERMINING, COMPOSING OR CALCULATING THE MSCI INDEXES. NONE OF THE MSCI PARTIES IS RESPONSIBLE FOR OR HAS PARTICIPATED IN THE DETERMINATION OF THE TIMING OF, PRICES AT, OR QUANTITIES OF ANY FINANCIAL PRODUCT TO BE ISSUED OR IN THE DETERMINATION OR CALCULATION OF THE EQUATION BY OR THE CONSIDERATION INTO WHICH ANY FINANCIAL PRODUCT IS REDEEMABLE OR IN THE CALCULATION OF THE DB INDICES. NONE OF THE MSCI PARTIES HAS ANY OBLIGATION OR LIABILITY TO THE ISSUER OR OWNERS OF ANY FINANCIAL PRODUCT OR ANY OTHER PERSON OR ENTITY IN CONNECTIONWITH THE ADMINISTRATION, MARKETING OR OFFERING OF THE DB INDICES OR ANY FINANCIAL PRODUCT. ALTHOUGH MSCI SHALL OBTAIN INFORMATION FOR INCLUSION IN OR FOR USE IN THE CALCULATION OF THE MSCI INDEXES FROM SOURCES THAT MSCI CONSIDERS RELIABLE, NONE OF THE MSCI PARTIES WARRANTS OR GUARANTEES THE ORIGINALITY, ACCURACY AND/OR COMPLETENESS OF ANY MSCI INDEX OR ANY DATA INCLUDED THEREIN OR THE RESULTS TO BE OBTAINED BY THE INDEX SPONSOR, THE RISK PREMIUM INDEX SPONSORS OR THE ISSUER OF ANY FINANCIAL PRODUCT, OWNERS OF ANY FINANCIAL PRODUCT, OR ANY OTHER PERSON OR ENTITY, FROM THE USE OF ANY MSCI INDEX OR ANY DATA INCLUDED THEREIN AND NONE OF THE MSCI PARTIES SHALL HAVE ANY LIABILITY TO ANY PERSON OR ENTITY FOR ANY ERRORS, OMISSIONS OR INTERRUPTIONS OF OR IN CONNECTION WITH ANY MSCI INDEX OR ANY DATA INCLUDED THEREIN. FURTHER, NONE OF THE MSCI PARTIES MAKES ANY EXPRESS OR IMPLIED WARRANTIES OF ANY KIND AND THE MSCI PARTIES HEREBY EXPRESSLY DISCLAIM ALL WARRANTIES (INCLUDING, WITHOUT LIMITATION AND FOR PURPOSES OF EXAMPLE ONLY, ALL WARRANTIES OF TITLE, SEQUENCE, AVAILABILITY, ORIGINALITY, ACCURACY, COMPLETENESS, TIMELINESS, NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE AND ALL IMPLIED WARRANTIES ARISING FROM TRADE USAGE, COURSE OF DEALING AND COURSE OF PERFORMANCE) WITH RESPECT TO EACH MSCI INDEX AND ALL DATA INCLUDED THEREIN. WITHOUT LIMITING THE GENERALITY OF ANY OF THE FOREGOING, IN NO EVENT SHALL ANY OF THE MSCI PARTIES HAVE ANY LIABILITY TO ANY PERSON OR ENTITY FOR ANY DAMAGES, WHETHER DIRECT, INDIRECT, SPECIAL, INCIDENTAL, PUNITIVE, CONSEQUENTIAL (INCLUDING, WITHOUT LIMITATION, LOSS OF USE, LOSS OF PROFITS OR REVENUES OR OTHER ECONOMIC LOSS), AND WHETHER IN TORT (INCLUDING, WITHOUT LIMITATION, STRICT LIABILITY AND NEGLIGENCE) CONTRACT OR OTHERWISE, EVEN IF IT MIGHT HAVE ANTICIPATED, OR WAS ADVISED OF, THE POSSIBILITYOF SUCH DAMAGES. No purchaser, seller or holder of any financial product, or any other person or entity, should use or refer to any MSCI trade name, trademark or service mark to sponsor, endorse, market or promote any security without first contacting MSCI to determine whether MSCI's permission is required. Under no circumstances may any person or entity claim any affiliation with MSCI without the prior written permissionof MSCI. Page 44 |
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