evaluate the performance of companies on the stock exchange using non-parametric methods is very important. dea and dea-r with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. in this study, using a neural network algorithm dea and dea-r is suggested to classify the first companies in the stock exchange; secondly, using the co...

this study addresses executive compensation from shareholders perspective by empirically examining the effects of chief executive officer (ceo) compensation on firm performance subsequent to the year of compensation. three factors of ceo compensation are examined, size, total annual compensation; form percentage of total compensation comprised of cash, cash bonuses and stock; and sensitivity. t...

We study behavioral motivations for the adoption of corporate stock repurchase programs. Stock repurchase program adoption was more likely when CEOs were paid with large grants of stock options and when there was high levels of uncertainty regarding future firm performance.

We report our analysis, using account data from a large discount brokerage firm, of the common stock investment performance of 166 investment clubs from February 1991 through January 1997. The average club tilted its common stock investment toward high-beta, small-cap growth stocks and turned over 65 percent of its portfolio annually. The average club lagged the performance of a broad-based mar...

Stock price prediction is an important and challenging problem for studying financial markets. Existing studies are mainly based on the time series of stock price or the operation performance of listed company. In this paper, we propose to predict stock price based on investors' trading behavior. For each stock, we characterize the daily trading relationship among its investors using a trading ...