Do spikes in Twitter chatter about a firm precede unusual stock market trading activity for that firm? If so, Twitter activity may provide useful information about impending financial market activity in real-time. We study the real-time relationship between chatter on Twitter and the stock trading volume of 96 firms listed on the Nasdaq 100, during 193 days of trading in the period from May 21,...

This paper studies the interaction between dealer markets and a relatively new form of exchange, passive crossing networks, where buyers and sellers trade directly with one another. We find that the crossing network is characterized by both positive ~“liquidity”! and negative ~“crowding”! externalities, and we analyze the effects of its introduction on the dealer market. Traders who use the dea...

Modern financial markets compete aggressively for trading activity and investor interest. Information technology, once a crucial element in streamlining paper flows and operations, is now a strategic resource used in attracting or retaining market liquidity. Established exchanges introduce technology to enhance their markets. New market venues challenge the status quo and rely on technology to ...

This paper examines the ability of Australian active equity managers to provide superior risk adjusted performance. Utilising daily trade level data, we investigate the role of trade and manager characteristics in trading performance and market impact costs. In terms of trade characteristics, we find evidence of superior trade performance, where such performance is an increasing function of tra...

Alternative selection of a portfolio has been a challenging research area in finance and investment decision making. Recent advances in single Decision Support Systems (DSS), soft computing and machine learning models are to solve the problems in selection of alternatives under uncertain market and risk environments. These models have not considered concurrently uncertain values including quant...

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...

WHAT MAKES SPECULATORS TO TRADE MORE OFTEN? EMPIRICAL ANALYSIS ON TSE DATA Abstract In this paper we investigate, how the value of transaction costs (TC) and the frequency of investment decision-making can influence the perception of market efficiency. The profit performance of four types of investors is evaluated under the schedule of TC. Hypothetical results for several high-frequency time se...

This paper is to explore the possibility to use alternative data and artificial intelligence techniques to trade stocks. The efficacy of the daily Twitter sentiment on predicting the stock return is examined using machine learning methods. Reinforcement learning(Q-learning) is applied to generate the optimal trading policy based on the sentiment signal. The predicting power of the sentiment sig...

In this paper we provide empirical findings on the significance of positive feedback trading for the return behavior in the German stock market. Relying on the ShillerSentana-Wadhwani model, we use the link between index return auto-correlation and volatility to obtain a better understanding into the return characteristics generated by traders adhering to positive feedback trading strategies. O...