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...

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...

We experimentally test overconfidence in investment decisions by offering participants the possibility to substitute their own for alternative investment choices.Overall, 149 subjects participated in two experiments, one with just one risky asset, the other with two risky assets. Overconfidence...

We experimentally test overconfidence in investment decisions by offering participants the possibility to substitute their own for alternative investment choices. Overall, 149 subjects participated in two experiments, one with just one risky asset, the other with two risky assets. Overconfidence...

In this paper the authors experimentally test overconfidence in investment decisions by ordering participants the possibility to substitute their own for alternative investment choices.

According to the behavioral concept of myopic loss aversion (MLA), investors are more willing to take risks if they are less frequently informed about their portfolio performance. This prediction of MLA has been confirmed in various experimental studies and the conclusion has been drawn that...

According to the behavioral finance theory, agents act coherently with the Kahneman and Tversky prospect paradigms and may violate those dictated by the rational expected utility. From the point of view of real financial markets' applications, a key question concerns how to eliciting the...