We find a strong tendency for positive returns during the overnight period followed by reversals during the trading day. This behavior is driven by an opening price that is high relative to intraday prices. It is concentrated among stocks that have recently attracted the attention of retail investors, it is more pronounced for stocks that are difficult to value and costly to arbitrage, and it i...

As e-commerce is growing rapidly, the need for an evaluation model of Internet business is increasing as well. This paper suggests a comprehensive evaluation model for one of the most important e-commerce systems, which is cyber trading system for stocks and bonds. Through an empirical study based on the evaluation model, this research identifies critical design factors for cyber trading system...

What happens when uninformed investors trade stocks via mobile phones? Do they react to social sentiment differently than more informed traders in traditional trading? Based on 16,817 data observations and econometric analysis for the trading of 251 equities in Korea over 39 days, we present evidence of herding behavior among uninformed traders in the mobile channel. The results indicate that m...

Employing Random Matrix Theory and Principal Component Analysis techniques, we enlarge our work on the individual and cross-sectional intraday statistical properties of trading volume in financial markets to the study of collective intraday features of that financial observable. Our data consist of the trading volume of the Dow Jones Industrial Average Index components spanning the years betwee...

This paper tries to find a widely accessible measure of liquidity and studies its impact on asset pricing. Using trading turnover as a measure of liquidity and the 19761993 Tokyo Stock Exchange data, I find that, cross-sectionally, stocks with higher turnover tend to have a lower expected return. This evidence is consistent with predictions derived from an Amihud-Mendelson type of transaction c...

This paper examines the effect of introducing insider tratlin~; restrictions on the behaviour of the Amsterdam Stock Exchange. From 198'7 on, insiders are no longer allowed to trade two months before an annual earnings announcement. The results indicate that stocks became less liquid (when liquidity is measured by trading volume) when insiders were not allowed to trade. We also find some eviden...

We propose a prediction model based on the minority game in which traders continuously evaluate a complete set of trading strategies with different memory lengths using the strategies’ past performance. Based on the chosen trading strategy they determine their prediction of the movement for the following time period of a single asset. We find empirically using stocks from the S&P500 that our pr...

We investigate the generalization properties of a data-mining approach to single-position day trading which uses an evolutionary algorithm to construct fuzzy predictive models of financial instruments. The models, expressed as fuzzy rule bases, take a number of popular technical indicators on day t as inputs and produce a trading signal for day t+ 1 based on a dataset of past observations of wh...

Using a novel proxy of investors’ speculative demand constructed from online search interest in “concept stocks”, we examine how speculative demand affects the returns and trading volume of Chinese stock indices. We find that returns and trading volume increase with the contemporaneous speculative demand. In addition, the high speculative demand causes lower near future returns, while recent hi...

In this paper we examine changes in dollar and relative bid-ask spreads of stocks following large price movements. We investigate large increases and decreases separately and link our results to current market microstructure theories on trading activities and spreads. We also look at changes in volume and selling pressure to interpret the changes in trading activity. Our results show that the m...