In this article we evaluate the pricing performance of the rather simple but revolutionary Black-Scholes model and one of the more complex techniques (neural networks) on the European-style S&P Index call and put options over the period of 1.6.2006 till 8.6.2007. Our results on call options show...

The purpose of this research is to investigate dividend policy, including its impact on share prices of transportation providers and related service companies, by comparing generalized regression neural networks with conventional regressions. Our results using regressions reveal that for Europe...

This article tests four regression models using the available data of Nigerian quoted small and medium-sized enterprises (SMEs) between 1999-2003. It is conceptualised that sustained growth, adequate liquidity and requisite profitability in the SME sector is significantly related to their...

The purpose of this study is to forecast option prices with simple backpropagation neural networks and to compare the results between conventional Black-Scholes model, the Black-Scholes model with pure implied volatility and neural network models over a seven-year period. This longitudinal study...

In this paper we design a simple trading strategy to exploit the hypothesized distinct informational content of the arithmetic and geometric mean. The rejection of cointegration between the two stock market indicators supports this conjecture. The profits generated by this cheaply replicable...

A specific day-trading policy in Taiwan futures market allows an investigation of the performance of day traders. Since October 2007, investors who characterize themselves as “day traders” by closing their day-trade positions on the same day enjoy a 50% reduction in the initial margin....

This study examines the market quality of S&P 500 index futures in 150-day periods before and after the introduction of Standard & Poor’s Depositary Receipts, SPDRs, on January 29, 1993. In a preliminary test of structure change, results fail to reject the null hypothesis that the empirical...

We use DCC-TGARCH-M to study asymmetries in the conditional variance in FTSE100 spot and futures returns before and after cost-reducing market microstructure changes on the London Stock Exchange and the London International Financial Futures Exchange. We find bidirectional causality-in-mean and...

The exercise of a warrant leads to the well-known dilution phenomenon, whose effects have been extensively studied over the last four decades. In contrast, the existing literature has paid inadequate attention to the volatility spillover between stockholders and warrant holders. This...

This paper investigates informed trading on stock volatility in the option market. Using a unique data set from the Chicago Board Options Exchange, we construct non-market maker net demand for stock volatility from the trading volume of individual equity options. We find that this volatility...