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Quantifying Backtest Overfitting in Alternative Beta Strategies
- Source :
- SSRN Electronic Journal.
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- The authors investigate the biases in the backtested performance of “alternative beta” strategies using a unique sample of 215 trading strategies developed and promoted by global investment banks. Their results lend support to the cautions in the recent literature regarding backtest overfitting and lack of robustness in trading strategy performance during the “live” period (out of sample). The authors report a median 73% deterioration in Sharpe ratios between backtested and live performance periods for the strategies, and they establish a link between performance deterioration and strategy complexity, with the realized reduction in live versus backtested Sharpe ratios of the most complex strategies exceeding those of the simplest ones by over 30 percentage points. The robustness of strategy exposure to risk factors varies between asset classes and strategies; it appears reasonable in equity volatility and FX carry strategies but quite weak in the equity value strategy in particular.
- Subjects :
- 010407 polymers
Economics and Econometrics
Investment strategy
Risk premium
Sharpe ratio
Factor investing
Overfitting
Asset allocation
01 natural sciences
Index strategies
Quantitative investment strategies
Accounting
0502 economics and business
Economics
Econometrics
Trading strategies
Trading strategy
Smart beta
Robustness (economics)
ta512
Data mining
050208 finance
ta511
Actuarial science
Risk premia
05 social sciences
Backtest
General Business, Management and Accounting
0104 chemical sciences
Alternative beta
QIS
Risk factor
Investment strategies
Multiple test
Finance
Subjects
Details
- ISSN :
- 15565068
- Database :
- OpenAIRE
- Journal :
- SSRN Electronic Journal
- Accession number :
- edsair.doi.dedup.....861e7688528ebaa4f37e9a71def2b43c
- Full Text :
- https://doi.org/10.2139/ssrn.2757113