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 n_m=T} (n₁,^T...,n_m)(n₁/T)(n₁ · · · (n_m/T)^n_m. Their super-replicating strategy is impossible to compute...

The financial crisis of 2008 had many putative causes. Psychology was an important driver for human decisions underlying these causes. However, quantitative financial models have no “knobs” to dial psychology parameters, and so arguably cannot possibly cope with financial crises. We have no...

We use proprietary brokerage data to study trading patterns within a well-known financial market bubble: that in the Chinese warrants market. Persistently successful investors traded very actively and exhibited characteristics of de facto market makers. Unskilled investors unprofitably...

This paper derives a robust online equity trading algorithm that achieves the greatest possible percentage of the final wealth of the best pairs rebalancing rule in hindsight. A pairs rebalancing rule chooses some pair of stocks in the market and then perpetually executes rebalancing trades so...