Stock splits: Implications for investor trading costs

Stock splits are known to have a negative effect on market quality—while stock prices adjust consistently with the split's scale, the bid/ask spread and market depth do not. Two possible explanations for the relative increase in spread are that (i) splits cause an increase in market maker costs that are passed along to investors or (ii) splits provide a mechanism for market makers to increase excess profits. Using a robust econometric methodology, we find evidence of the latter, which raises questions about the motivation of the splitting practice. We also document that while NASDAQ spreads appear to adjust more fully than those of NYSE/AMEX stocks, NASDAQ spreads are higher in general.

System for foreign exchange trading using genetic algorithms and reinforcement learning

Foreign exchange trading has emerged recently as a significant activity in many countries. As with most forms of trading, the activity is influenced by many random parameters so that the creation of a system that effectively emulates the trading process will be very helpful. A major issue for traders in the deregulated Foreign Exchange Market is when to sell and when to buy a particular currency in order to maximize profit. This paper presents novel trading strategies based on the machine learning methods of genetic algorithms and reinforcement learning.