Transaction costs can make it unprofitable to rebalance all the way to the ideal portfolio. A single-period analysis using mean-variance theory provides many interesting insights. With fixed or variable costs, there is a non-trading region within which trading does not pay. With only variable costs, any trading is to the boundary of the non-trading region, while fixed costs induce trading to th...

this paper investigates the informational content of abnormal volume trading of shares listed at tehran stock exchange (tse) using an event study methodology. the results for a sample of 48 iranian firms during 1385-1388 show that there are abnormal returns before and after the abnormal trading volume dates. regression analysis also shows that there is a significant relationship between trading...

A novel method of stock portfolio management by using technical indicators is proposed in this paper. The method hybridizes the consensus trading signals generated by the gene expression programming (GEP) proposed by Lee et al., and the portfolio redemption scheme proposed by Tsai et al. with our stock ranking functions. The indicators were used not only for trading, but also for selecting prom...

Using a new hand-collected data set, this study examines the stock price manipulation in the Taiwan Stock Exchange (TSE). We examine the characteristics of the manipulated stocks, and their impacts on market quality. The results show that manipulated stocks tend to be small. The stock prices rise throughout the manipulation period, followed by a price reversal. The average cumulative abnormal r...

We address the question of optimal trading of bandwidth (service) contracts in wireless spectrum markets, for the primary as well as the secondary spectrum providers in this context. We propose a structured spectrum market and consider two basic types of spectrum contracts that can help attain desired flexibilities and trade-offs in terms of service quality, spectrum usage efficiency and pricin...

The evaluation of a portfolio and its risk exposure with respect to market movements become di cult as soon as contingent claims are involved. In case only the performance of a portfolio has to be determined, practitioners use the mark-to-market pricing each trading day and observe the value changes of the underlying portfolio ex post. A price series becomes available which reveals not only the...

In this talk, we first present extensions of the classical mean-variance portfolio optimization model that account for the estimation risk and for trading requirements. We consider that the expected asset returns are stochastic by introducing a probabilistic constraint which imposes that the expected return of the constructed portfolio must exceed a prescribed return threshold with a high confi...

Information asymmetry in stock market can increase the risk of investment which in turn increases the capital cost of firms. Bhattacharya (1979) proposed a hypothesis that states dividend can act as a powerful signal in order to solve information asymmetry problem. We measured information asymmetry by lack of earnings transparency. Therefore we examine the effect of earnings transparency on cap...

Fundamental and technical analyses are two common methods for predicting the future behavior of the stock. Fundamental analysis focuses on the economic forces of supply and demand which cause stock prices change. On the other hand, technical analysis examines historical data relating to changes in the price and trading volume by using graphs and indicators as a primary tool to predict future pr...

In this paper, we study extensions of the classical Markowitz’ mean-variance portfolio optimization model. First, we consider that the expected asset returns are stochastic by introducing a probabilistic constraint imposing that the expected return of the constructed portfolio must exceed a prescribed return level with a high confidence level. We study the deterministic equivalents of these mod...