Abstract

For a market with m assets and T discrete trading sessions, Cover and Ordentlich (1998) found that the “Cost of Achieving the Best Rebalancing Rule in Hindsight” is p(T, m) = n1 ···Σ nm=T (n1,T...,nm)(n1/T)(n1 · · · (nm/T)nm. Their super-replicating strategy is impossible to compute in practice. This paper gives a workable generalization: the cost (read: super-replicating price) of achieving the best s−stock rebalancing rule in hindsight is (m/s) p(T, s). In particular, the cost of achieving the best pairs rebalancing rule in hindsight is (m/2) TΣn=0 (T/n) (n/T)n ((T − n)/T)T−n = O( √ T). To put this in perspective, for the Dow Jones (30) stocks, the Cover and Ordentlich (1998) strategy needs a 10,000-year horizon in order to guarantee to get within 1% of the compoundannual growth rate of the best (30-stock) rebalancing rule in hindsight. By contrast, it takes 1,000 years (in the worst case) to enforce a growth rate that is within 1% of the best pairs rebalancing rule in hindsight. For any preselected pair (i, j) of stocks it takes 320 years. Thus, the more modest goal of growth at the same asymptotic rate as the best pairs rebalancing rule in hindsight leads to a practical trading strategy that still beats the market asymptotically, albeit with a lower asymptotic growth rate than the full-support universal portfolio.

Highlights

  • Literature review The theory of asymptotic portfolio growth was initiated by Kelly (1956), who considered repeated bets on horse races with odds that diverge from the true win probabilities

  • Set forth the natural goal of optimizing the asymptotic growth rate of one’s capital

  • The Kelly criterion gives a much more satisfactory answer: bet 50:5% À 49:5% 1⁄4 1% of your wealth. This achieves the capital growth rate of 0:005% per hand played in this situation

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Summary

Introduction

Ordentlich and Cover (1998) super-replicated the final wealth of the best rebalancing rule in hindsight at time-0, they did not use the terminology of financial derivatives so thoroughly. It seems that their paper was not inspired so much by derivative pricing as it was by Shtarkov’s (1987) “universal source code” in information theory. 0 : ðp; θÞ is a super-hedge for some θg Under this terminology, the cost of super-replicating the final wealth of the best rebalancing rule in hindsight (Ordentlich & Cover, 1998) is pðT; mÞ :1⁄4 ∑n1þ...þnm1⁄4T. If three or more distinct horses wind up winning over the T races, every pairs rebalancing rule will eventually go bankrupt, just as soon as a horse other than i or j wins a race

Super-replication
Findings
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