The presumed source of the volatility is a trading strategy called “programmed trading.”2 This strategy, which essentially involves trading on small and shortlived price differences for the same group of stocks in the spot, futures and options markets, is not new. The introduction of stock jnde~futures around 1982 and the application of computer techniques to monitor price differences and trigg...

This paper examines portfolio choice, trading behavior, and realized rates of return following a panel of nearly seven thousand 401(k) retirement accounts during the April 1994-August 1998 time period. The distribution of equity allocations in the panel is strongly bi-modal: 48% of the average annual equity allocations in the panel are zero, while 22% of the allocations are 100%. The overall av...

Several studies document that past returns and past trading volume predict shortterm stock returns. This study considers two new variables: the past number of trades signed as purchase and sale. These variables also predict weekly US stock returns and contain information that is distinct from past returns and past trading volume. Combined trading strategies outperform strategies based on past r...

This paper outlines a data mining approach to analysis and prediction of the trend of stock prices. The approach consists of three steps, namely partitioning, analysis and prediction. A modification of the commonly used k-means clustering algorithm is used to partition stock price time series data. After data partition, linear regression is used to analyse the trend within each cluster. The res...

in this study, attempts are made to recognize effective factors in enhancing the intension to use online stock trading application by real investors via combining the models of reasoned action and decomposed theory of planned behavior and merging it with dimensions of online stock trading. questionnaires designed and ditributed between 300 people attended in tehran stock exchange and agah broke...

Foucault [Journal of Financial Markets, 2, 99–134, 1999] provides a theoretical basis for how stock price volatility influences the aggressiveness of limit order traders. I investigate volatility discovery across stock limit order book and options markets using a broad panel of NYSE‐listed stocks from November 2007 to January 2008 and find strong evidence that, as predicted, the aggressiveness ...

The study analyzes a unique time period of sustained deflation from 1867 to 1896, followed by sustained reflation after 1896. We use these periods to test two hypotheses concerning the impact on NYSE trading volumes and seat prices. The first is the “liquidity-trading” hypothesis, which hypothesizes that liquidity trading, a component of total trading volume, is positively correlated with inter...

The fast development in computing and communication has strongly changed the dynamics of financial markets. More people are trading online through the Web instead of using full-service brokerages. Many online financial services have given investors new opportunities to trade stocks and access real-time market information efficient way. But, very few investors in UAE are familiar and use these s...

A requirement analysis for a portfolio management in stock trading is presented. This provides a theoretical foundation for a stock trading system. The overall portfolio management tasks include eliciting user profiles, collecting information on the user’s initial portfolio position, monitoring the environment on behalf of the user, and making decision suggestions to meet the user’s investment ...

A developmental co-evolutionary genetic programming approach (PAM DGP) and a standard linear genetic programming (LGP) stock trading system are applied to a number of stocks across market sectors. Both GP techniques were found to be robust to market fluctuations and reactive to opportunities associated with stock price rise and fall, with PAM DGP generating notably greater profit in some stock ...