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An improved test for statistical arbitrage

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Author Info

  • Jarrow, Robert
  • Teo, Melvyn
  • Tse, Yiu Kuen
  • Warachka, Mitch

Abstract

We improve upon the power of the statistical arbitrage test in Hogan, Jarrow, Teo, and Warachka (2004). Our methodology also allows for the evaluation of return anomalies under weaker assumptions. We then compare strategies based on their convergence rates to arbitrage and identify strategies whose probability of a loss declines to zero most rapidly. These strategies are preferred by investors with finite horizons or limited capital. After controlling for market frictions and examining convergence rates to arbitrage, we find that momentum and value strategies offer the most desirable trading opportunities.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Financial Markets.

Volume (Year): 15 (2012)
Issue (Month): 1 ()
Pages: 47-80

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Handle: RePEc:eee:finmar:v:15:y:2012:i:1:p:47-80

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Web page: http://www.elsevier.com/locate/finmar

Related research

Keywords: Bootstrap; Momentum strategy; Statistical arbitrage; Value strategy;

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References

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Cited by:
  1. Ahmet Goncu, 2014. "Statistical Arbitrage in the Black-Scholes Framework," Papers 1406.5646, arXiv.org, revised Aug 2014.

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