We investigate optimal trading strategies under uncertainty in a nonparametric no-arbitrage framework that is consistent with an arbitrary number of assets. We show that extreme aversion to uncertainty precludes trading, and that preference for uncertainty induces market participation. In an...

Trading in binary options is discussed using an approach based on expected profit (EP) and expected loss (EL) as metrics of reward and risk of trades. These metrics are reviewed and the role of the EL/EP ratio as an indicator of quality of trades, taking risk tolerance into account, is...

In this paper, we study the problem of option portfolio design under the Markowitz mean-variance framework. We extend the common practice of a pure-stock portfolio and include options in the design. The options returns are modeled statistically with first- and second-order moments, enriching the...

This paper builds upon and extends Bali and Murray (2013) to investigate skewness preferences when investors with heterogeneous expectations hold long skewness positions. When investors are pessimistic (either pessimistic or optimistic), their overconfidence produces a downward (upward) bias...

Student managed investment funds provide students the opportunity to manage a portfolio of real dollar investments and earn academic credit. Student managed funds typically benefit a University through improved course offerings within the field of finance where academic knowledge and practical...

Behavioral theories contend that the human decision-making process tends to both incorporate anchor points and improperly weight low probability events. In this study, we find evidence that equity option market investors anchor to prices and incorporate a probability weighting function similar...

A new option-pricing model, derived from a novel Probability Density Function, calculates option prices that agree with the market's prices, thus showing that the new PDF correctly describes the behavior of assets, indexes, and options

We distill sentiment from a huge assortment of NASDAQ news articles by means of machine learning methods and examine its predictive power in single-stock option markets and equity markets. We provide evidence that single-stock options react to contemporaneous sentiment. Next, examining return...