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Why Have the Returns to Technical Analysis Decreased? B. Wade Brorsen Oklahoma State University.

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Presentation on theme: "Why Have the Returns to Technical Analysis Decreased? B. Wade Brorsen Oklahoma State University."— Presentation transcript:

1 Why Have the Returns to Technical Analysis Decreased? B. Wade Brorsen Oklahoma State University

2 Barclay CTA index annual percentage returns by year Source: The Barclay Group

3 Research Question: What structural changes have occurred in futures price movements?

4 Take-Home Message: Price volatility has gone down, which has in turn caused lower technical trading profits.

5 Why Does Trend-Following Technical Analysis Work? 1.Piggyback trading 2.Psychological mistakes 3.Uninformed traders

6 Efficient Market Hypothesis Technical trading should yield a “normal” return.

7 What Has Changed? Faster dissemination of information Cheaper to use technical analysis Fewer uninformed traders? Increased size of managed funds Freer trade Stable monetary policy

8 Hypothesis One The decrease in technical trading returns is due to decreased price volatility.  volatility   trading profits

9 Hypothesis Two The decrease in technical trading returns is due to increased money invested in technical trading.  technical trading   autocorrelation   profits and  volatility

10 Key: Did price volatility go up or down?

11 Methods Before and after 1990 Daily price volatility Breakaway gaps Close-to-open changes Autocorrelation Bootstrap

12 Variance of 20-Day Returns Commodity1975 a -19901991-2001 Coffee 99.9 162.4 ++ Cocoa 77.5 60.9** Corn 35.5 36.9 Crude Oil 105.4 67.2 Deutsche Marks 10.2 10.6 Eurodollars 0.5 0.1** Feeder Cattle 27.0 11.1** Gold 45.5 12.8** Heating Oil84.6 67.0 Japanese Yen 11.1 12.6 Live Cattle 28.2 11.0** Pork Bellies 116.3 114.5 Soybeans 51.0 29.4** Standard and Poor’s 500 25.8 17.9 Sugar 160.2 66.2** Treasury Bonds 16.9 7.3** Wheat 26.2 40.9 ++

13 Sum of First Five Autoregressive Coefficients Commodity1975 a -1990 1991-2001 Coffee 463.4 -61.6* Cocoa 14.2 -57.3 Corn 76.3 20.1 Crude Oil 199.7 -247.7 Deutsche Marks 54.9 25.5 Eurodollars 167.2 288.2 Feeder Cattle 459.2 79.4** Gold -61.5 204.0 Heating Oil 309.1 -113.2 Japanese Yen 144.9 -61.5 Live Cattle 241.0 -19.5 Pork Bellies 349.4 -9.2** Soybeans 68.9 -256.4 Standard and Poor’s 500-436.4 - 344.8 Sugar -6.1 76.6 Treasury Bonds 157.1 - 260.2** Wheat -187.5 174.3 +

14  Summary of Results Price volatility went down regardless of measure Slight decrease in autocorrelation Supports hypothesis one: Markets have changed

15 Questions Will the high returns be returning? Too much money under management? How should trading systems be redesigned?

16 Longer or Shorter Parameters? When volatility is low, do not trade? Use countertrend systems?

17 Other Comments Keep trading system secret? Expect “normal” returns? Too much money under management?


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