This paper studies a general equilibrium model with an investor controlled firm. Shareholders can vote on the firm’s production plan in an assembly if they dislike management’s decision. Prior to that they may trade shares on the stock market. Since stock market trades determine the distribution of votes, trading is strategic. There is always an equilibrium, where share trading leads to an owne...

We investigated the inter-day effects of price limits policies that are employed in agent-based simulations. To isolate the impact of price limits from the impact of other factors, we built an artificial stock market with higher frequency price limits hitting. The trading mechanisms in this market are the same as the trading mechanisms in China's stock market. Then, we designed a series of simu...

Stock trend forecasting is a one of the main factors in choosing the best investment, hence prediction and comparison of different firms’ stock trend is one method for improving investment process. Stockholders need information for forecasting firm’s stock trend in order to make decision about firms’ stock trading. In this study stock trend, forecasting performs by data mining algorithm. It sho...

We examine the effects of trading and information flows on the short-run behavior of stock prices by comparing the behavior of stock return volatility during trading and nontrading periods. We define nontrading periods as periods when exchanges and businesses are open but traders endogenously choose not to trade. After correcting for the bid/ask bounce and stickiness in quotes, we find that a l...

This paper uses a simple model of mean-variance capital markets equilibrium with proportional transactions costs to analyze the competition of stock markets for investors. We assume that equity trading is costly and endogenize transactions costs as variables strategically influenced by stock exchanges. Among other things, the model predicts that increasing financial market correlation leads to ...

• Amihud, Mendelson and Murgia (1990) studied the impact of the stock market microstructure on return volatility and on the value discovery process in the Milan Stock Exchange; the primary trading mechanism employed by this exchange is a call market, which is usually preceded and followed by trading in a continuous market. They found that the opening transaction in the continuous market had the...

The purpose of this study is to compare the sales and visitor access traffic as a result of using critical success factors in an online car accessories store compared with online trading forums. The study uses quantitative and non-experimental methods. Quantitative data analysis and t-test are performed on the comparison and correlation of visitor access and sales frequency between online store...

in this study, trading patterns and constituents of trading performances of individual and institutional investors have been investigated in a weekly manner, using an auto regressive model and a grinblatt & titman portfolio performance measure spanning 2008-2012. the results show that while individual investors have a herding behavior, institutional investors take contrarian trading strategies....

Evolutionary learning is one of the most popular techniques for designing quantitative investment (QI) products. Trend following (TF) strategies, owing to their briefness and efficiency, are widely accepted by investors. Surprisingly, to the best of our knowledge, no related research has investigated TF investment strategies within an evolutionary learning model. This paper proposes a hybrid lo...

The nature of investing in share markets is undergoing significant changes due to the growth in electronic or online trading. Online trading has meant increased trading by new types of traders, often relatively inexpert. This paper reports a study that investigated whether more active trading by novice traders, meaning reduced decision making time, was associated with lower trading performance....