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Combining Money Management, Portfolio Metrics, and Strategies for Investing and Trading Discussed by: Paul Grems Duncan Leader, Tri-State Investors Group July 16, 2001 1 Todays Topics Metrics a few that will help your


  1. Combining Money Management, Portfolio Metrics, and Strategies for Investing and Trading Discussed by: Paul Grems Duncan Leader, Tri-State Investors Group July 16, 2001 1

  2. Today’s Topics  Metrics – a few that will help your trading/investing  Three strategies that appear to be working right now  Effective Volume Overview and a review of some candidate stocks 2

  3. Admin  Example files are located in my forum at http://forums.effectivevolume.com  Directions on how to access these files are at the end of the presentation. 3

  4. Portfolio Metrics: Do We Care?  Yes!  Portfolio Metrics help us understand whether the changes we make to a portfolio are beneficial.  To use metrics though, you have to keep some form of log… (which I will provide an example… ) 4

  5. My Favorite Portfolio Metrics  Calmar Ratio  Mathematical Expectation  Pessimistic Return Ratio  There are others (Sharpe Ratio, Sortino Ratio, Upside Potential Ratio, etc.) but they are more difficult to understand and apply consistently (in my opinion). 5

  6. The Concept of Drawdown  What is Drawdown (DD)?  Drawdown is the measurement from the maximum (equity, price) peak to the lowest value AFTER the peak.  Perceived Drawdown is: • the mechanism that causes us to sell a stock in a decline, resulting in us locking in losses rather than having confidence in our mechanical systems. • the enemy of mechanical trading.  There IS a distinction between intra-trade DD and end- of-trade DD – end-of-trade is far more important! 6

  7. 7 Daily Russell 2K Since 1987 Drawdown Example:

  8. Calmar Ratio  What is the Calmar Ratio? CR is a very simple metric that relates return to drawdown .  Easy to remember: ���������� ������ ������ ����� �� � ������� �������� �����  If CR < 0, your CAR is negative, and you’re losing money. This is a bad system.  If CR ~ 1, Reward to Risk is 1:1. In general, you lose a dollar for every dollar gained, but time frame is important .  If CR = 2, for every dollar lost, you gain 2 dollars. Good system.  If CR = 3, for every dollar lost, you gain 3 dollars. Great system!  Practical, winning systems generally have a CR > 1.50

  9. Example of CR = 0.82 (CRR = 30.5%, MDD = 37.4%), 12/2/08 to 12/2/09 AAII Accelerated EPS Strategy (Modified Shadow Stock Portfolio Criteria) 9

  10. Example of CR = 5.07 (CRR = 41.6%, MDD = 8.20%), 5/4/09 to 5/4/10 AAII Accelerated EPS Strategy (Modified Shadow Stock Portfolio Criteria) 10

  11. Steps to Track Calmar Ratio  1) You need your equity curve, either real or backtested.  2) Download CR-CalculationExample.xls at my forum at Effective Volume (once you’ve registered, of course). 11

  12. CR Moves with Time! (Thankfully, Not Fast) 1996 – 2010, AAII Accelerated EPS Strategy (Modified Shadow Stock Portfolio Criteria) We’ll discuss how to use CR Average = 2.02 and timers to improve a strategy +/- 1.31 Stdev later in the presentation Ugliness Ugliness Ugliness 12

  13. Criticisms of CR  The definition uses the compounded annual return (CAR); this isn’t practical for short bursts of trades as the time frames do not align. Trades occurring in a 4-week burst do not extrapolate to 12 months very well.  Correspondingly, many people simply use total return (if less than 1 year) and the actual MDD. The purists will shutter, but this latter method works until a solid history per strategy is developed. 13

  14. Mathematical Expectation  What is Mathematical Expectation (ME)?  ME is the “average take-home” amount in a trade scaled by the % of winning trades for the strategy (you have a strategy, right?)  All you need is: • Average winning trade amount • Average losing trade amount • % winning trades for the strategy  In the long haul, ME MUST BE > 0.

  15. ME Example  A strategy has demonstrated a record of only 20% winning trades.  The average profit per trade is $10K  The average loss per trade is $2K  Is this a winning strategy? 1 � �� �� � ∗ �� � 1 �� • Where: AW = average winning trade amount • AL = average losing trade amount • PW is the % winning trades 15

  16. ME Example (con’t)  In the long run, this example should be profitable, as the ME is shown to be > 0. 16

  17. Steps to Track ME  1) You need to start tracking your trades with a log.  2) You need to track what strategy is being used for a specific trade (you DO have (a) strategy(ies), right?)  3) Download “ME-PRR- CalculationExample.xls” from my forum at Effective Volume – this is a log that auto- calculates ME. 17

  18. Example Trade Log for Autocalculating ME Worksheet Auto- calc’s Various Parameters Enter Trades by Strategy ME-PRR-CalculationExample.xls 18

  19. Pessimistic Return Ratio (PRR)  Pessimistic WHAT?  Created by Ralph Vince and published in “Portfolio Management Formulas” (ISBN 0- 471-52756-4), this is a REALLY good method to understand your profitability and whether your methods will work in the longer haul.  PRR is like ME but it gets better as the number of trades increases.

  20. Pessimistic Return Ratio  Here’s how PRR is defined: ��� � � � � ∗ �� � � � ∗ �� • W is the number of winning trades • L is the number of losing trades • AW is the average winning trade amount • AL is the average losing trade amount  Per Vince: PRR > 2.0 are good systems. PRR > 2.5 are excellent systems.  Also per Vince: We need at least 24-28 trades in a system to know whether it’s a viable system 20

  21. PRR Example  Suppose we have a system with 13 winning trades, 5 losing trades, with $288 taken home on each trade that is won, and with ($33) lost on each trade that goes against our methods. 21

  22. Steps to Track PRR  1) Download “ME-PRR- CalculationExample.xls” from my forum at Effective Volume – this is a log that auto- calculates PRR (yes, this is the same file that also calculates ME). 22

  23. Review of Metrics  Calmar Ratio: Compares gain to drawdown. Tells you if you’re taking too much risk (DD > gain is bad)  Mathematical Expectation: The “edge” of a strategy – we want positive numbers only here.  Pessimistic Return Ratio: the best of the three, it tells us how good a strategy is, and it improves as the number of trades goes up 23

  24. 24 Strategies

  25. AAII Shadow Stock Portfolio  Standard AAII portfolio: http://www.aaii.com/model- portfolios/stock-rules  Focuses on Small Cap stocks between $17 and $200M in size  Performance over last year has been quite good, but historically?

  26. AAII MSSP Performance Actual vs. Modeled, 1997-2010, corr = 0.816 Avg CR = 3.49 +/- 5.14 MDD = ~49% 26

  27. AAII MSSP Performance  The assumption here is that the modeled performance is “adequate” at corr = 0.816 (1.0 = perfect, 0.0 = no correlation)  The drawdown of 49% would most likely have caused most to bail long before this occurred, then losing out to subsequent gains in 2009 and 2010.  The average CR of 3.50 is very, very good, but, the standard deviation of +/- 5.14 suggests major losses (3.5 – 5.1  CR < 0 – BIG PROBLEM )  How to stabilize CR by reducing MDD? 27

  28. Improving AAII MSSP Performance “Market Cap Favoritism” – There are certain periods in the cycle that Small Caps underperform Favor Small Caps 1/03 – 9/08 Favor Large Favor Small Caps Caps 6/08 – 9/08 6/06 – 5/08 4/09 - Present 10/08 – 3/09 Chart is the RATIO of Russell 1000 (Large Caps) to Russell 2000 (Small Caps) – R2K is in the Denominator 28

  29. AAII MSSP Performance Gated w/ Russell 1K/2K Favoritism Avg CR = 4.59 +/- 5.76 MDD = ~28% 29

  30. Stockcharts can Assist in Analysis http://stockcharts.com/h-sc/ui?s=IWB:IWM&p=D&yr=3&mn=0&dy=0&id=p46574665355 Ratio is below trend – Small caps are looking better, so watch for it Green = Small Cap Favoritism 30

  31. AAII MSSP Conclusions  It’s possible to use CR (as well as other metrics) to quantify adjustments to a strategy.  The AAII MSSP strategy is a good strategy, but management of the drawdown must occur or we’ll lose confidence in the system.  The general trend of favoring large caps or small caps certainly helps to provide confidence that we’re not running with small caps when the large caps are dominating.  Right now it appears that small caps are just coming into favor again 31

  32. Mean Reversion Strategies  What is Mean Reversion?  Mean reversion is when a stock or ETF gets overbought or oversold to the extent that after some period of time, buyers/sellers converge and move the price to the mean.  Markets generally are in a trend or are mean- reverting. It’s important to have tools for each market.  Larry Connors and Cesar Alvarez have developed a number of strategies to take advantage of this phenomenon

  33. A Comment on Mean Reversion Strategies  The psychology of mean reversion is opposite to that of trend trading. • In trend trading, you add to your position as it increases. • In mean-reversion trading, you add to your position as it falls  If you are not prepared to see negative numbers, then in trendless markets, you may be better suited to sit on the sidelines. 33

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