relative value volatility & dynamic hedging
DESCRIPTION
An overview on the use of proprietary volatility strategies and their use for Alpha generation and portfolio hedging.TRANSCRIPT
Equity Volatility Trading:
Contact:
David Hamilton
t: 212.217.1556 m: 917.499.7331
Diversified Proprietary Strategies for Alpha Generation & Portfolio Hedging
Strategy Defined
Volatility Arbitrage is designed to produce absolute, market-neutral returns.
• Strategy continually looks to exploit pricing inefficiencies in various
options classes to generate consistent profits.
• Trade duration might vary from a few weeks to a few months.
• Strategy uses only exchange-listed options on US stocks.
• Strict execution and oversight guidelines ensures:
– Reduced transaction costs and market impact (Proprietary trading
technology utilizes all available liquidity to ensure positions are initiated and
closed in the most efficient manner possible).
– Increased speed and effectiveness of Risk Management
(Proprietary tools also designed to identify and rapidly reduce risk across both
strategies).
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Relative Value Arbitrage (1 Month Maturity)
10-Year Backtested Returns, Jan 2002-Jan 2012
2002-2011 2010-2011 Average (vols x 100) 0.0300 0.0151 Sharpe 2.2601 1.3197 Stdev 0.0459 0.0395
Bin Frequency -0.06 5 -0.04 5 -0.02 15
0 30 0.02 50 0.04 40 0.06 42 0.08 25
> 0.08 28
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Relative Value Arbitrage (3 Month Maturity)
10-Year Backtested Returns, Jan 2002-Jan 2012
2002-2011 2010-2011 Average (vols x 100) 0.0283 0.0286 Sharpe 1.8259 1.9300 Stdev 0.0537 0.0513
Bin Frequency -0.06 6 -0.04 13 -0.02 21
0 28 0.02 39 0.04 38 0.06 30 0.08 25
> 0.08 31
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Strategy Defined
Portfolio Insurance is a vitally important, yet often overlooked, element of
traditional and quantitative Long/Short equity strategies employed by
hedge funds.
When used properly, it should serve as a key component of the risk
management process, seeking to preserve investor capital by locking in
gains and preventing/minimizing any potential drawdowns.
Design and use of Portfolio Insurance can be outlined in the following steps:
• Identify Hedging Needs
• Hedge Valuation/Optimization
• Hedge Implementation
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Hedge Identification
Determine key underlying risk(s):
• Entire/partial portfolio
• Net Beta exposure
• Volatility/Correlation risk
• Binary Event risk
• Tail risk
Underlying Strategy Time Horizon:
• Short Term (1-2 days)
• Medium Term (3 days – 1 week)
• Long Term (1 week+ )
Additional Consideration Factors:
• Momentum/Mean-Reversion Indicators
• Directional Indicators
Identifying all contributing factors in systematic fashion allows for efficient pricing,
construction and optimization of strategy hedges.
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Hedge Valuation/Optimization
Valuation
• Determine prevailing levels of implied volatility in the marketplace.
• Can use simple comparisons to historical means or multi-factor valuation model, using both technical and fundamental inputs.
Optimization
• Develop Optimal Hedge given market levels, strategy timeframe, available liquidity (stock-by-stock, group of underlyings or Portfolio-wide) and additional indicators.
• Simple Hedges (Fixed-Strike Index Collar, Put Spread Collar).
• Complex Hedges (Dynamic Index/Sector ETF Collar, Index Variance, Futures and Options on Volatility (VIX), Synthetic Correlation Plays, Customized OTC Instruments).
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Hedge Implementation
Example – Ratio Collar on SPX
BUY: 1 6mo 98% Put
SELL: 1.5 1mo 101% Calls
BACKTEST PERIOD Jan 1999 – Jan 2010
SPX Level at Start: 1,234.40
SPX Level at Finish: 1,150.23
PERFORMANCE Avg. Return (monthly): 0.30%
Standard Dev. (monthly): 1.28%
Avg. Return (annualized): 3.60%
Sharpe: 0.81
TOP GRAPH:
Absolute returns, SPX + Collar v. SPX(in SPX points)
MIDDLE GRAPH:
Annualized volatility (SPX + Collar, SPX, Collar/SPX)
BOTTOM GRAPH:
Monthly returns, SPX + Collar v. SPX(in SPX points)
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