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FOR INSTITUTIONAL INVESTORS ONLY.
NOT FOR FURTHER DISTRIBUTION.
DB Brent Short Volatility II Index
October 2014
A Passion to Perform.
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DB Brent Short Volatility II
Index Summary
■ Rationale: Historically, on average Brent implied volatility has been higher than subsequent realized volatility. In other
words, historically implied volatility has priced at a premium. This may be because of corporate hedging flows. DB Brent
Short Volatility Strategy offers investors a simple and convenient vehicle to monetize the implied volatility premium.
■ Description: The DB Brent Short Volatility II strategy aims to capture the differential between implied and realized
variance in the Brent crude oil market by systematically selling straddle and subsequently delta hedging these straddles
The index is constructed as an equally weighted average of 3 sub-indices, each rolling on different dates in order
to minimize path dependency and keep an (almost) constant volatility duration exposure at all times
On the relevant quarterly roll date (t_r), each sub-index sells equal number of call and put options
Every day the delta position implied by these options is hedged by buying the delta amount of underlying future
at market close
Profit and loss from each sub index is the sum of;
▪ Product of number of options sold on previous rebalance date and the change in option price from
previous day, for each of the call and put
• Product of number of options sold, the implied delta position on previous day and the change in
underlying future price from previous day
▪ Option prices are calculated using Black-Scholes model using an after cost implied volatility (attic)
• Option strike is the closest integer strike to the at the money future price on a quarterly roll date
• CrtAC = a t - max(4%* at 0.75%); where at is the volatility calculated using the exchange published option prices
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DB Brent Short Volatility II
Index Summary
■ Transparent: The strategy is fully transparent as it is based on listed option prices
■ Market Neutral: The strategy is constructed using a basket of options and implies no directional exposure
to Brent front month prices
■ Rebalancing: The index is rebalanced every year to provide equal exposure to the 3 sub-indices once a
year. The rebalance date is the Brent December contract option expiry date.
■ Embedded Cost: Index cost is embedded in the after cost implied volatility (crtAc) calculation
■ Transparency: Rules-based index with the closing level published on Bloomberg page DBCMBSV2
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I
DB Brent Short Volatility II
Index Construction
Brent Contracts Brent Contracts Brent Contracts
(January, April, July, (February, May, August, (March, June, September,
October) November) December)
Roll Dates
■ 3 business days prior to option expiry of the current contract
i
Short position in 3-month straddles on the respective Roll Dates
+
■ Dynamic delta hedging on the options Hedge by buying delta amount of Brent futures
1 v i
Sub Index I Sub Index II Sub Index III
Rebalancing
■ Rebalanced to equal weights every year on the option
expiry of December contract
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DB Brent Short Volatility II
Performance Analysis
Index Returns Year on Year Performance Comparison I
Annual Returns for Excess Return Indices
DB Brent Short
S&P 500
Calendar Year Volatility II
2008 -25.95% -37.00%
2009 83.19% 26.46%
2010 30.65% 15.06%
2011 22.60% 2.11%
Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 2012 38.04% 16.00%
—DB Brent Short Volatility II —S&P 500 2013 20.22% 32.39%
Performance Analysis' 2014 YID 3.50% 3.22%
Jan 2008 - Oct 20142 DB Brent Short Volatility II S&P 500 Annualized Return 21.40% 5.98%
Annualized Returns 21.4% 6.0%
Volatility 12.8% 23.3%
Sharpe Ratio 1.87 0.28
Maximum Drawdown -27.2% -52.5%
Start Date Jen-08 Dec-07
End Date Dec-08 Mar-09
Max Monthly Consecutive
-19.6% -29.6%
Loss
Start Date Sep-08 Sep-08
End Date Dec-08 Nov-08
Max / Min Returns
Rolling 12 Months 83.7% I -25.9% 72.3%! -47.5%
Rolling 3 Months 25.8%(-20.6% 40.4% I -40.9%
Average Monthly Returns 1.7% 0.7%
% Months with Gains 71.6% 64.2%
Correlation
S&P 500 0.28 1.00
Sots
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DB Brent Short Volatility II
Monthly Returns
2008 2009 2010 2011 2012 2013 2014
January 1.76% 11A4% 3.76% -0.21% 7.75% 5.47% 1.28%
February -4.35% 5.77% 0.72% -0.86% 0.80% 1.80% 2.90%
March -3.37% 0.55% 3.43% 2.78% 3.62% 3.74% 0.53%
April 1.05% 9.37% 2.62% 3.30% 6.01% -3.33% 0.05%
May -1.62% 9.03% 4.29% 4.90% -1.33% 1.02% 4.11%
June -1.70% -0.05% 2.95% -1.90% 0.46% 0.63% -0.57%
July 0.19% 2.35% 3.07% 3.32% 1.70% 2.30% -0.37%
August 0.01% 4.59% 1.71% -0.56% 2.09% -1.37% 0.40%
September -7.19% -1.49% 7.28% 0.74% 2.42% 4.55% -2.04%
October -6.96% 7.91% 0.46% 7.50% 4.16% 1.77% -2.65%
November -0.57% 3.48% 1.31% 3.47% 2.62% -0.43%
December -6.34% 10.12% 4.44% 8.68% 2.69% 2.73%
Calendar Year -25.95% 83.19% 30.65% 22.60% 38.04% 20.22% 3.50%
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Risk Considerations
■ The information contained in this presentation does not provide personal investment advice. You should consult with
independent accounting, tax, legal and regulatory counsel regarding such matters as they may apply to your particular
circumstances
Strategy Risk
■ Commodities are speculative and highly volatile and the risk of loss from investing in financial instruments linked to commodities
or commodity indices can be substantial
■ The DB Brent Short Volatility Index shorts Brent volatility. Realized volatility might be much higher than Implied Strikes, leading
to a big drawdown in the index. In theory, losses in the index are uncapped. Furthermore, realized volatility might be high and
the index might decline at the same time as mainstream investments like DJUBS and SPX are declining.
Past Performance
■ An index's performance is unpredictable, and past performance is not indicative of future performance. We give no
representation or warranty as to the future performance of any index or investment
■ Some of the indices described herein have very limited performance history
Backtesting
■ Backtested, hypothetical or simulated performance results discussed herein have inherent limitations. Unlike actual historical
performances, simulated results are achieved by means of the retroactive application of a backtested model itself designed with
the benefit of hindsight. 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 deduction of
advisory fees, brokerage or other commissions, and any other expenses that a client would have paid or actually paid. Past
hypothetical backtest results are neither an indicator nor guarantee of future returns. Actual results will vary, perhaps materially,
from the analysis contained herein
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Disclaimer
MARKETING MATERIAL
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ℹ️ Document Details
SHA-256
ad0f019529fe6890399c1e9f909c4e6ce844291a11be56e7ecb99a54baaa0e74
Bates Number
EFTA02716191
Dataset
DataSet-11
Document Type
document
Pages
8
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