Exact Replication of the Best Rebalancing Rule in Hindsight
Alex Garivaltis

TL;DR
This paper derives the exact pricing and replication strategies for a derivative based on the best hindsight rebalancing rule in continuous and multi-asset markets, showing it outperforms the market asymptotically.
Contribution
It provides a closed-form solution for the derivative's price at any time and extends the analysis to multiple correlated stocks, connecting to universal portfolio theory.
Findings
Exact time-dependent pricing formulas derived.
Replication strategy involves betting the optimal fraction of wealth.
Strategy asymptotically outperforms the market.
Abstract
This paper prices and replicates the financial derivative whose payoff at is the wealth that would have accrued to a \1C_0=1+\sigma\sqrt{T/(2\pi)}t1+\sigma\sqrt{(T-t)/(2\pi)}tC(S,t)=\sqrt{T/t}\cdot\,\exp\{rt+\sigma^2b(S,t)^2\cdot t/2\}b(S,t)[0,t]$. I show that the replicating strategy amounts to betting the fraction…
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