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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


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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

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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

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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.

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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… )

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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).

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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-

  • f-trade DD – end-of-trade is far more important!

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Drawdown Example:

Daily Russell 2K Since 1987

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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

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Example of CR = 0.82

(CRR = 30.5%, MDD = 37.4%), 12/2/08 to 12/2/09

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AAII Accelerated EPS Strategy (Modified Shadow Stock Portfolio Criteria)

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Example of CR = 5.07

(CRR = 41.6%, MDD = 8.20%), 5/4/09 to 5/4/10

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AAII Accelerated EPS Strategy (Modified Shadow Stock Portfolio Criteria)

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Steps to Track Calmar Ratio

1) You need your equity curve, either real

  • r backtested.

2) Download CR-CalculationExample.xls at

my forum at Effective Volume (once you’ve registered, of course).

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CR Moves with Time!

(Thankfully, Not Fast)

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1996 – 2010, AAII Accelerated EPS Strategy (Modified Shadow Stock Portfolio Criteria) Average = 2.02 +/- 1.31 Stdev Ugliness Ugliness Ugliness

We’ll discuss how to use CR and timers to improve a strategy later in the presentation

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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.

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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.

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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?

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  • ∗ 1
  • Where: AW = average winning trade amount
  • AL = average losing trade amount
  • PW is the % winning trades

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ME Example (con’t)

 In the long run, this example should be

profitable, as the ME is shown to be > 0.

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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.

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Example Trade Log for Autocalculating ME

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Enter Trades by Strategy Worksheet Auto- calc’s Various Parameters ME-PRR-CalculationExample.xls

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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

  • f trades increases.
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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

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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

  • ur methods.

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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).

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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

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Strategies

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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?

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AAII MSSP Performance

Actual vs. Modeled, 1997-2010, corr = 0.816

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Avg CR = 3.49 +/- 5.14 MDD = ~49%

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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?

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Improving AAII MSSP Performance

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“Market Cap Favoritism” – There are certain periods in the cycle that Small Caps underperform

Chart is the RATIO of Russell 1000 (Large Caps) to Russell 2000 (Small Caps) – R2K is in the Denominator

Favor Small Caps 1/03 – 9/08 Favor Small Caps 6/08 – 9/08 4/09 - Present Favor Large Caps 6/06 – 5/08 10/08 – 3/09

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AAII MSSP Performance

Gated w/ Russell 1K/2K Favoritism

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Avg CR = 4.59 +/- 5.76 MDD = ~28%

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Stockcharts can Assist in Analysis

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Green = Small Cap Favoritism Ratio is below trend – Small caps are looking better, so watch for it

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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

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Mean Reversion Strategies

 What is Mean Reversion?  Mean reversion is when a stock or ETF gets

  • verbought 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

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A Comment on Mean Reversion Strategies

The psychology of mean reversion is

  • pposite 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.

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Favorite Connors’ Mean Reversion Strategy

 Connors calls it “TPS” for Time-Price-Scale In  This is an aggressive strategy  Focused on ETFs  You “scale-in” to a position as the price drops on

the long side in a 10%-20%-30%-40% fashion (which equals a 100% position when all done)

 Connors’ has conducted much of his work using 20,

non-leveraged, highly-liquid ETFs

 What are the specific rules of this strategy?

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Connors’ TPS Strategy (Long)

 1) ETF is above the 200d MA  2) RSI(2) is below 25 for two days in a row. Buy 10% at the

close.

 3) If prices are lower on the close than your previous entry, buy

20% at the close

 4) Repeat #3 until you attain 40%  Exit on the close when the 2-period RSI closes above 70  A PDF copy of Connor’s book has been uploaded into the

Effective Volume forum; there are more details there.

 How has the strategy performed?

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Connors’ TPS Strategy (Long)

20 ETF Inception to 12/31/08

 1159 Trades  Average % P/L = 1.45%  Average Holding Time = 6d  % Number Winners = 89%

20 ETF from 1/1/09 to 7/15/11

 405 Trades  Average % P/L = 1.67%  Average Holding Time = 5d  % Number Winners = 93%  ME: 0.203

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Connor’s TPS Strategy (Long) Equity Curve, 1/1/09 to 7/15/11

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Connor’s TPS Strategy (Long) Trade Distribution, 1/1/09 to 7/15/11

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Note that there are a few trades that fell -14%

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Connors’ TPS Strategy (Short)

20 ETF Inception to 12/31/08

 648 Trades  Average % P/L = 1.97%  Average Holding Time = 6d  % Number Winners = 81%

20 ETF from 1/1/09 to 7/15/11

 59 Trades  Average % P/L = 1.39%  Average Holding Time = 6d  % Number Winners = 75%  ME: 0.163

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Connor’s TPS Strategy (Short) Equity Curve, 1/1/09 to 7/15/11

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Connor’s TPS Strategy (Short) Trade Distribution, 1/1/09 to 7/15/11

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Note that there are a few trades that fell -12%

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Optimizing Connor’s TPS Strategy

 One criticism that I have of this strategy is that

it can tie up capital. On the bottom of the previous equity graphs there is a graph to the Number of Open Positions. For the non- leveraged ETFs, this could be close to all 20 positions.

 What about using leveraged ETFs, and simply

reduce the position size?

 This next test uses the Direxion +/- 3x

Leveraged ETFs

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Connors’ TPS Strategy (3x Long)

1x 20 Long ETF 1/1/09 to 7/15/11

 405 Trades  Average % P/L = 1.67%  Average Holding Time = 5d  % Number Winners = 93%  ME: 0.203

3x ETF from 1/1/09 to 7/15/11

 163 Trades  Average % P/L = 4.33%  Average Holding Time = 5d  % Number Winners = 89%  ME: 0.492

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Connor’s TPS Strategy (3x Long) Trade Distribution, 1/1/09 to 7/15/11

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Note that there is 1 trade that fell >60%

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Connors’ TPS Strategy (-3x Short)

1x 20 Short ETF 1/1/09 to 7/15/11

 59 Trades  Average % P/L = 1.39%  Average Holding Time = 6d  % Number Winners = 75%  ME: 0.163

  • 3x ETF from 1/1/09 to 7/15/11

 70 Trades  Average % P/L = 1.53%  Average Holding Time = 8d  % Number Winners = 74%  ME: 0.091

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Connor’s TPS Strategy (-3x Short) Trade Distribution, 1/1/09 to 7/15/11

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Note that there is 1 trade that fell >30%

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Connors’ TPS Strategy Conclusions

 TPS has a positive ME in all 4 cases (non-

leveraged, leveraged, long, short).

 The greatest “edge” (ME) is going long with

the +3x Leveraged Direxion ETFs, followed by going long with the +1x original ETFs that Connor tested.

 The greatest net gain per trade is long with the

+3x Leveraged ETFs ( +4.33%/trade), followed by long the +1x original ETFs (+1.67%/trade)

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The IWM and GDX Robots

 Pascal Willain and Billy O’Nair have created two very focused,

mechanical trading systems that are available at the Effective Volume web site which are profitable.

 The first system, which uses IWM and related ETFs, is based upon the

20d Money Flow, established using Pascal’s Effective Volume tools, as well as precise entries/exits using pivot levels, statistics, and risk/reward ratios. This is a combination mean-reversion and trend- following system.

 The second system, which uses GDX, is based upon money flow,

looking specifically for extremes, then fades these situations. This is a mean reversion system.

 These two instruments were chosen because they are not highly

correlated.

 Detailed FAQs can be found on the Effective Volume site, under the

heading “Robots”. You must be a registered member to view.

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Theoretical Equity Curve for IWM Robot

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Theoretical Equity Curve for GDX Robot

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Paul’s IWM Robot Performance

 Just started getting

really serious with the IWM Robot.

 15 total trades, 10

long, 5 short.

 ME: 4.58  PRR: 1.08 (but

  • nly have 15

trades)

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Summary of Strategies

 The AAII MSSP strategy is a good strategy

which can be improved upon by incorporating a larger signal which kicks you out when small caps are out of favor.

 When trend-following does not work, mean-

reversion via Connor strategies can keep some income moving in.

 Pascal’s and Billy’s robots are proving their

worth, and a forward test of the IWM robot is very profitable.

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Effective Volume – aka “Follow the Whales”

 Effective Volume, developed by Pascal Willain, separates

minute-by-minute volume and price movements, resulting in assigning volume movement to two groups:

  • Large Effective Volume (LEV): volume attributed to institutionals and
  • ther big players. Occurs because once the bid/ask is satisfied, the

price must move up if the bid is unsatisfied, else the price must drop if the ask is unsatisfied

  • Small Effective Volume (SmEV): volume attributed to retail buying

and selling of an equity. Typically, small selling does not move the price a significant amount over extended periods of time.

 EV money flow, which is determined by buying/selling of

institutional investors by averaging individual money flow within ~92 industry groups, can tell us what the markets are doing overall and whether we should be long, cash, or short.

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How I (Paul) Use EV

 Let’s say that I have a stock candidate. Since 30% of

the price movement is historically related to institutional buying, I check the EV site to see if

  • 1) the industry group/sector that the stock belongs to has

accumulation across many stocks in the group. Institutionals typically buy multiple stocks in a hot sector

  • 2) if the stock is showing a positive divergence in large

effective volume compared to small EV.

 There is a movie posted EV site that I created and which

shows how I navigate the different information.

 GGT (Paul’s system) and EV work together nicely to

identify early breakouts; here’s an example:

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GGT + EV Stocks

 These are favorable EV stocks for Monday

(VNR, CL, MDVN, DVN, and CDE). Two are showing EV buying: CL and CDE. VNR just turned into a GGT New Long, which is

  • favorable. Let’s look at the first 3:

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VNR

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Notice how Total EV is converging on trendline… stock is being accumulated Group just issued a “buy” signal because large player strength has jumped above 0%

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CL

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Upward trending average line shows constant accumulation Group recently signaled a “buy” but has dropped back below 0 and the trend line. CL is a “wait”

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MDVN

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Weaker TEV trend line but the fact that TEV has crossed above is very positive Group recently signaled a “buy” and trendline is just crossing 0 from below – very bullish for group.

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The Day’s Summary

 We covered three relevant metrics to assist you with your portfolio:

  • CR, ME, and PRR

 We looked at the AAII MSSP performance, and then suggested a

method to improve drawdown which will help CR in the long run. The method is not related to the strategy at all (What was it? Hint: Russell 1K vs. Russell 2K)

 We looked at Connor’s TPS Mean Reversion Strategy and found a

strategy that slowly, but with a positive edge, generates profits. We concluded that the 3x leveraged ETFs have a better edge and better gain than their 1x counterparts.

 We looked at two mechanical strategies that have phenomenal

backtesting performance and the initial forward test is going very well.

 We looked briefly at how I evaluate GGT + EV stocks, specifically

using the EV web site after I have candidates.

 There are files to download at the Effective Volume site. You must

register to view these files; directions follow on the remaining slides.

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From Pascal Willian, Creator of Effective Volume:

 If you are interested in becoming a member at the

Effective Volume site and accessing the EV data, there is a special offer for AAII participants:

 Go to http://www.effectivevolume.eu/EV_Subscribe_Special.html

and if you mention that you’re an AAII member and attended this presentation, you’ll get $10 off the yearly subscription of $149 (most of which goes to charity – see the web page). This will give you daily access to EV data on over 1000 stocks and 200 ETFs. It is an eye

  • pening experience to your investing/trading.

 Further, if you’re interested in the IWM and GDX

robots, let me (Paul) know, and I’ll see what I can do for a free trial.

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Registering for Access to Presentation Files (and Paul’s Forum)

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Step 1: Registration Page at Effective Volume

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http://forums.effectivevolume.com/register.php?

In the Registration Question Please state “Registering per Paul Duncan / AAII Wash DC Meeting”

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Step 2: Confirmation of Registration

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 Step 2: When you receive an email confirming

your registration, click on the link in the email. You will receive the following screen:

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Step 3: Registering for Paul’s GGT Forum

 Step 3: After you receive the previous screen,

you’ll have to wait for an admin-type to approve you into the forum. You will receive an email when this is completed.

 IF you specified that you were from the AAII Wash

DC group, you should be automatically added to the GGT Forum. Here is how you check:

 1) Log In to http://forums.effectivevolume.com  2) (next slide)

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Step 3: Checking/Registering for Paul’s GGT Forum

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Click this First Click this 2nd

See if this says “Leave Group” or “Join Group” Feel free to join the other groups – it is free.

Paul’s is the GGT Group

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Access to AAII Presentation Files

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This thread “Links” contains the links to the files; They are at the BOTTOM of the thread.

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File Location w/in Thread

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The Excel files will be located under this header Note: this is message 1 of the thread – it is at the BOTTOM of all the messages

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Paul Duncan (703) 509-5332 grems8544@gmail.com

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