ETF Trading Strategies. By Bob Krishfield West Coast Cycles Club Jan 29, 2013



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Transcription:

ETF Trading Strategies By Bob Krishfield West Coast Cycles Club Jan 29, 2013

Agenda Strategies for ETF Trading Concepts & Modeling Examples Testing Advanced Models Part 2 Tools For ETF Trading To Validate & Implement Modeling and Validating in AmiBroker

Trading Strategies Non-Systematic Trading a Looser for Average Investor Lots of Tools Available, But Key is How to Apply them Need to Choose and Follow a Strategy. Apply Principles of Portfolio Investing 1. Design According to the Investor's Risk Tolerance 2. Allocate Assets to Maximize the Expected Return and Minimize the Risk 3. Manage Portfolio Utilizing Rules Validated Through Testing My Objective is To Identify Strategies and Then Cover Some Tools to Implement Them

Portfolio Strategy Concepts Buy & Hold A Passive Strategy Portfolios with Diversified Assets Can Do Well Strategic Allocation Allocation Across Non-Correlated Assets/Markets* Rebalance Monthly or Annually to Targets Improves Reward to Risk Ratio Tactical Asset Allocation Use Trading to Allocate Assets with Highest Potential Returns and Avoid Those with Potential Losses Select from List of Strategically Selected Assets *Markowitz, Modern Portfolio Theory, 1967

Portfolio Modeling Major Problem in Applying Modern Portfolio Theory* is the Use of Static, Long Term Averages for Allocations Allocations Not Updated as Market Changes Solution: Evaluate and Apply these Parameters Monthly Optimal Portfolios** Based on 4 Parameters: Momentum (Relative Strength) Valuation Volatility Correlation Require Strategic Diversification Across Asset Classes. *Markowitz, Modern Portfolio Theory, 1967 ** Butler, Adaptive Asset Allocation working paper, 2012

Momentum Relative Strength 37 Randomly Selected ETFs in 2010 70% of Variablility in Return Explained by Rel Strength 83% Correlation From Richard Hoyt, Analytics Investment Advisors, 2011

Returns and Risk Momentum Only Include Assets Rising in Value Value* Select Assets That Are on Low Range of Valuation (i.e Range of OverBought OverSold) Market Risk ( price volatility ) Diversify: Pick Non-Correlated Markets Diversify - Use ETFs (basket of stocks) Reduce Uncertainty - Avoid New ETFs Measures Compounded Annual Return (CAR) Volatility Measured as Annualized Standard Deviation Sharpe Ratio (simplified) Measure of Risk Adjusted Return. Good if Above 1.0 Portfolio CAR / Standard Deviation Drops Out Risk Free Return Which Currently is About 0.0 * Wang, Combined Value and Momentum in Tactical Asset Allocation, 2011

Portfolio Strategies for ETF Trading Classes of Models Presented 1. Fixed Allocation Across Strategic Asset Classes 2. Fixed Allocation with Timing 3. Relative Strength (Momentum) Allocation, Equal Weighted ü With Filters for Crash Protection 4. Relative Strength Allocation with Dynamic Weighting ü Volatility Weighted ü Minimum Variance Weighting Example Portfolios by Class 1. Permanent Portfolio All-Weather ETF Portfolio 2. Faber s Ivy Portfolio 3. Relative Str Ranking Kennedy s Coolcat ETF Model R W Colby s Top 10 ETF Model Masonson s Buy-Don t-hold Model Performance will be compared using results from Testing, since Examples only provide anecdotal figures and are incomplete for comparisons

1 - Fixed Portfolio Example #1 Model Definition Portfolio Setup from Mix of ETFs That Would Be Safe and Profitable in Any Kind of Economic Cycle Harry Brown s, Permanent Portfolio uses 25% for Each of 4 ETFs One for Each Part of Economic Cycle Buy & Hold, Rebalance Annually Results Growth Stocks for Prosperity VTI Precious Metals/Gold for Inflation GLD Govt Bonds for Deflation TLT Cash(ST Bonds) for Recession SHY Returned 9.5% over last 40 years. Mutual Fund (PRPFX) 3yr CAR = 10.6 AAII, The Permanent Portfolio / Using Allocation to Build and Protect Wealth, 2011 D Pritch, Is The Permanent Portfolio ETF A Perfect Choice for the Long-Term Investor,2012

1 - Fixed Portfolio Example #2 Model Definition Portfolio Setup to Perform Well Over All Market Environments Ray Dalio, Bridgwater Assoc. Setup Strategy. His landmark concept was to create a portfolio that would have roughly equal risk in four different economic regimes: 1) rising growth 2) falling growth 3) rising inflation 4) falling inflation. Same As Permanent Portfolio Concept But Different Assets Used.

1 - Fixed Portfolio Examples Portfolio to Have Equal Risk Over Market Environments Setup Using Weighted Fixed Allocations Based on Risk VTI EMB DBC,GLD HYG TLT,IEF TIP Results for 2005-2012: CAR=8.1%, Sharpe=.83, MDD=-19.7, V=6.1%

1 - Fixed Portfolio Comparison Test Model Fixed 4 Portfolio Setup from Strategic Mix of ETFs That Would Be Safe and Profitable in Any Kind of Economic Cycle, Rebal Annually. ETFs Same as Perm Portfolio: VTI, TLT, GLD, SHY Model Testing Using ETFReplay 2007-13 Model CAR Sharpe MDD Volatility Permanent 4 ETFs 40 yrs 9.5 Permanent Mut Fund 3 yrs 10.3 All-Weather 6 ETFs 05-12 8.1.83-19.7 6.1 Fixed 4 Test Model 07-13 13.4.78-3.5 6.8

2 - Fixed Portfolio with Timing Model Definition Setup List of a Strategic Mix of up to 10 Asset Class ETFs Apply Market Timing to Reduce Drawdown Update Monthly Buy/Sell If Above/Below 200 day Example Faber s Ivy Portfolio IVY Portfolio Website Two Portfolio Implementations In Book * M Faber, A Quantitative Approach to Tactical Asset Allocation, 2009

2 - Fixed Portfolio with Timing Faber s Performance Using 10 Mo Timing Ivy5 Portfolio 1973-2008 CAR= 11.27%, V= 6.87,MDD=-9.5%,S=.77 Benchmark B&H No Timing CAR= 9.77%, V=9.73,MDD=-36%,S=.39 Model Runs 2007-13 Using ETFReplay.com Model CAR Sharpe MDD Volatility 1-Fixed 4 ETFs (Perm4) 13.4.78-3.5 6.8 1-Fixed 5 ETFs (Ivy5) 11.0.30-7.1 12.1 1-Fixed 10 ETFs (Ivy10) 10.7.23-8.3 13.6 2-Fixed 5 (Ivy5) w Timing4 9.1.59-13.2 10.2 2-Fixed 10(Ivy10) w Timing4 8.4.53-12.9 10.3 Results Not Great, But Model Simple Inspired Many to Improve Model

3 - Relative Strength Asset Allocation Model Definition Setup List of a Strategic Mix of up to 10 Asset Class ETFs For Testing & Comparison Use IVY10 List Relative Strength Used to Allocate Assets to Portfolio on a Monthly Basis,.i.e Pick Best Performers Use Equal Weighting Buy Top x% from Ranked List Using N month Momentum (Rel Strength) Optional Crash Proof Filter Sell/Don t Buy If Rel Strength is Zero or Neg Alternative Don t Buy if Rel Stength is Less Than Prior Month

3 - Relative Strength Asset Allocation Model Testing Rel Strength Model Testing 2007 2013 Rel Str Lookback = 4-6 months, Select 2 or 3 from 10, Updated Monthly Model CAR Sharpe MDD Volatility 1-Fixed 4 (Perm4) 13.4.78-3.5 6.8 1-Fixed 5 (Ivy5) 11.0.30-7.1 12.1 1-Fixed 10 (Ivy10) 10.7.23-8.3 13.6 2-Fixed 5 (Ivy5) w Timing 9.1.59-13.2 10.2 2-Fixed 10 (Ivy10) w Timing 8.4.53-12.9 10.3 3-RelStr4 2-10 wcp 21.8.96-17.3 19.1 3-RelStr6 3-10 wcp 15.5.75-18.5 16.7

Results from My Testing* Relative Strength Ranking Better than Fixed B&H Lookback Period of 4 months generally worked best Use of 2 Rel Str Periods in Ranking Mixed Results. Better if Only 1-2 Picks, Worse for 3-5 Picks Monthly Timing & Portfolio Updates Semi-Monthly Failed to Improve Performance in Most Cases Crash Protection Filter definite improvement Returns Not always Higher, but Volatility Lower with Higher Sharpe Volatility Used for Ranking ETFReplay Ranking Model Optional Weighting of Volatilty Mixed Results. Better When Picking 4-5 from List, Worse Otherwise Volatility Tested with Equal Weight of Relative Strength. Volatility Weighting vs Equal Weighting Tbd. Current Software Tools Not Capable. All Tests Used Equal Weighting * Over a 300 Tests Were Run Using ETFReplay and AmiBroker

Use of Crash Protection Filtering CAR Ploted vs %Volatility for RS4 case CP (Crash Protection) Improved Performance by Reducing Volatility 35.0 30.0 25.0 RS-4 CP RS-4 Linear (RS-4 CP) 20.0 15.0 10.0 5.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0

Relative Strength Lookback Period 35.0 30.0 Various Rel Strength Periods Compared RS = 4 Months Superior 25.0 20.0 15.0 10.0 RS3* RS3 rs4 RS5 RS6 Linear (RS3) Linear (rs4) Linear (RS5) 5.0 0.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0

Setup List of a Strategic Mix of 10 Asset Class Funds US, Europe, Japan, Emerg Mkt Stocks, US & Intl REITS, Long & ST US Treas, Commodities, Gold Six Models Analyzed: Equal Weight Volatility Weighted Top 5 Momentum Ranked, Equal Weight Top 5 Momentum Ranked, Volatility Weighted Top 5 Having Minimum Volatility & Correlation Optimized & Integrated Use of Momentum, Volatility, Correlation Tests Run over Period 2002-12 4 - Relative Strength w/ Dynamic Weighting This Study* Provides Insight Into More Complex Models and What Might Be Gained From Their Use. Model Definitions *Based on Paper by A. Butler, Adaptive Asset Allocation A Primer, 2012

4 - Relative Strength w/ Dynamic Weighting Model CAR Sharpe MDD 1.Equal Weight B&H, Rebal Mo 8.36.66-44 2.Equal Volatility Weight, Rebal Mo 8.88 1.23-19 3.Top 5 Rel Str Rank, Equal Wt 14.3 1.23-26 Models Requiring Specialized Software 4.Top 5 Rel Str Rank, Volatility Wt 13.9 1.53-15.9 5.Top 5 Rel Str Rank, Minimum Variance 15.4 1.71-15.8 6.Optimized (R,V,C) Weekly Rebalanced 16.9 2.51-9.6 *Based on Paper by A. Butler, Adaptive Asset Allocation A Primer, 2012 From 1995 to 2011 (16 Years) Models 1-3 Similar to those Previously Presented. Models 4-6 Show Potential for Improved Portfolio Performance But More Complexity, Requiring Specialized Software

What s Required for More Complex Models Models 4 thru 6 Achieve Superior Results But Custom Software Required Ranking Algorithm Must Use Data from all Rows to Compute Score for Each Row Optimization Model required for Last Model One Approach is the Use of Monte Carlo Methods See Quantext by Gauss

More On Strategies evidence suggests that a simple asset class ETF momentum strategy beats an equal-weighted benchmark over the past nine years under conservative assumptions, adding value to simple diversification... evidence indicates that strategies setting portfoliolevel volatility targets for a set of global stock indexes easily outperform equal weighting based on gross Sharpe ratio and maximum drawdown. CXOAdvisory.com

References 1. M. Faber, A Quantitative Approach to Tactical Asset Allocation, 2009 2. H. Browne, Fail-Safe Investing: Lifelong Financial Security in 30 Minutes, 1999 3. W. ThorpeAAII, Using Relative Strength Analysis to Invest in ETFs, 2011 4. R. Colby, Introduction to the Screening Method for Analysis of Relative Strength,2009 5. Seeking Alpha, All Weather ETF Portfolio 6. Bridgwater Assoc., The All Weather Story 7. K. Kennedy Coolcat.com, The Coolcat ABCs of ETFs, 2005 8. L. Masonson, Buy Don t Hold: Investing with RTFs Using Relative Strength to Increase Returns with Less Risk, 2010 9. L. Herr, Modeling the Faber-Richardson Ivy Portfolio, 2012 10. A Butler, Adaptive Asset Allocation A Primer, 2012 11. W. Keller, Generalized Momentum and Flexible Asset Allocation, 2012 12. Gauss, Reducing Risk Using Modified Ivy Portfolio,2011 13. CXOAdvisory, Asset Allocation Combining Momentum, Volatility, Correlation and Crash Protection, 2012 14. CXOAdvisory, Diversifying Across Strategic Allocation Strategies, 2012 15. CXOAdvisory, Combining SMA Crash Protection and Momentum in Asset Allocation, 2012