Keywords: We applied genetic programming with a lambda abstraction module mechanism to learn technical trading rules based on S&P 500 index from 1982 to 2002. The results show strong evidence of excess returns over buy-and-hold after transaction cost. The discovered trading rules can be interpreted easily; each rule uses a combination of one to four widely used technical indicators to make trad...

We consider a network of intermediaries facilitating exchange between buyers and a seller. Intermediary traders face a private trading cost, a network characterizes the set of feasible transactions, and an auction mechanism sets prices. We examine stable and equilibrium networks. Stable networks, which are robust to agents’ collusive actions, exist when cost uncertainty is acute and multiple, i...

We examine pure no-load funds over a 5-year period. For equity funds, trading activity is negatively related to returns. Expense ratios are not significantly related to returns. Potential capital gains exposure and tax cost ratio are positively related to return. For fixed income funds, trading activity is positively related to return. Expense ratios and tax cost ratios are negatively related t...

We explore two main questions. First, can two markets for a company’s shares coexist and, if so, what determines the distribution of trading volume across them? For firms cross-listed in the U.S. we find that in most cases U.S. trading is a significant fraction of total volume, and tends to be larger for companies based in countries that are geographically close, with low financial development ...

We investigate the trading of mutual funds and pension plan sponsors on days of extreme market-wide price movements. We find that the institutions in our sample are net buyers (sellers) during extreme market declines (increases) and that these positions generate positive returns. Results are driven by institutions that were recently trading in the same direction as they are observed trading dur...

in this study, a prediction model based on support vector machines (svm) improved by introducing a volume weighted penalty function to the model was introduced to increase the accuracy of forecasting short term trends on the stock market to develop the optimal trading strategy. along with vw-svm classifier, a hybrid feature selection method was used that consisted of f-score as the filter part ...

In the past decade traditional market structures have been drastically revolutionized, creating new potential for electronic trading. The driving forces are changes in trading behavior, advances in technology and new regulation. Traditional exchanges are challenged by new electronic trading platforms competing on the basis of price, cost, speed and efficiency. As trading has become more fragmen...

If individuals derive a small utility from gambling, we should observe high turnover in portfolios that are of only marginal importance to them. By the use of detailed individual financial data, as well as trades from a Swedish online broker, I measure the frequency and cost of online trading in the cross-section, and find the opposite relation. Those who have online portfolios that constitute ...

We give empirical welfare results for global greenhouse gas emission abatement, using the first multi-party model to include both tax-versus-trading under uncertainties, and revenue recycling. Including multiple, independent parties greatly reduces the welfare advantage of an emissions tax over emissions (permit) trading in handling abatement-cost uncertainties, from that shown by existing, sin...