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Alpha Representation for Active Portfolio Management and High Frequency Trading in Seemingly Efficient Markets


Godfrey Cadogan


Ryerson University - Ted Rogers School of Management, Institute for Innovation and Technology Management; University of Cape Town - Faculty of Commerce - School of Economics

August 31, 2011

JSM Proceedings, Business and Economic Statistics Section, pp. 673-687, American Statistical Association, Alexandria, VA, 2011

Abstract:     
We introduce a trade strategy representation theorem for performance measurement and portable alpha in high frequency trading, by embedding a robust trading algorithm that describe portfolio manager market timing behavior, in a canonical multifactor asset pricing model. First, we present a spectral test for market timing based on behavioral transformation of the hedge factors design matrix. Second, we find that the typical trade strategy process is a local martingale with a background driving Brownian bridge that mimics portfolio manager price reversal strategies. Third, we show that equilibrium asset pricing models like the CAPM exists on a set with P-measure zero. So that excess returns, i.e. positive alpha, relative to a benchmark index is robust to no arbitrage pricing in turbulent capital markets. Fourth, the path properties of alpha are such that it is positive between suitably chosen stopping times for trading. Fifth, we demonstrate how, and why, econometric tests of portfolio performance tend to under report positive alpha.

Number of Pages in PDF File: 15

Keywords: market timing, empirical alpha process, trading strategy, martingale system, behavioural finance, high frequency trading, Brownian Bridge, Jensen's Alpha, portable alpha

JEL Classification: C02, G12, G13

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Date posted: September 1, 2011 ; Last revised: March 29, 2012

Suggested Citation

Cadogan, Godfrey, Alpha Representation for Active Portfolio Management and High Frequency Trading in Seemingly Efficient Markets (August 31, 2011). JSM Proceedings, Business and Economic Statistics Section, pp. 673-687, American Statistical Association, Alexandria, VA, 2011. Available at SSRN: http://ssrn.com/abstract=1920605

Contact Information

Godfrey Cadogan (Contact Author)
Ryerson University - Ted Rogers School of Management, Institute for Innovation and Technology Management ( email )
575 Bay
Toronto, Ontario M5G 2C5
Canada
University of Cape Town - Faculty of Commerce - School of Economics ( email )
Rondebosch, 7701
South Africa
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