نتایج جستجو برای: tehran stock exchange jel classification g14
تعداد نتایج: 780816 فیلتر نتایج به سال:
We model a financial market in which companies engage in strategic financial reporting knowing that investors only pay attention to a randomly drawn sample from firms’ reports and extrapolate from this sample. We investigate the extent to which stock prices differ from the fundamental values, assuming that companies must report all their activities but are otherwise free to disaggregate their r...
This paper examines the stock market reactions to US biotech firms’ innovation news announcements during 1983-1993. Besides the positive abnormal returns observed during the announcement period, the paper identifies a medium-horizon negative drift in the stock price subsequent to firms’ innovative events. The observed negative drift is robust to the benchmarks and procedures used in calculating...
We examine the role of information-based stock trading in affecting the risk-incentive relation. By incorporating an endogenous informed trading into an optimal incentive contracting model, we analytically show that, apart from reducing incentives, a greater risk increases the level of information-based trading which consequently enhances executive incentives and offsets the negative risk-incen...
This study links together theoretical models of strategic alliances with an empirical examination of stock returns on the announcement of strategic alliances. Using a sample of 123 strategic alliance announcements, the results find strong support for the hypothesis that strategic alliance announcements generate significant positive abnormal returns on the announcement day. Although strategic al...
36 month buy-and-hold returns are calculated for a recent sample of initial public offerings (IPOs) on UK stock markets in order to test the robustness of earlier results which suggest that IPOs deliver abnormally low long-run returns. A bootstrapped and skew-adjusted t statistic is employed. Overall, there is little evidence of significant abnormal long-run performance. Further tests reveal th...
Numerous authors have suggested that the price-earnings (P/E) ratio can be used to predict the future movement of stock prices. Such arguments are based on the belief that P/E ratios are mean-reverting. But are the S&P P/E ratios really mean reverting? A review of the literature finds arguments on both sides, but the issue of mean reversion has not been tested adequately. Using unit roots and m...
A growing body of research points to the fact that capital markets react to environmental news and thus create incentives for pollution control in both developed and emerging market economies. In this paper we conduct an event study to examine the impact of environmental rating of large pulp and paper, auto and chlor alkali firms on their stock prices. We find that the market generally penalize...
This paper empirically analyzes the initial and after-market returns for the Turkish initial public offerings (IPOs) to provide an emerging market case of international evidence on performances of IPOs. The sample consists of 163 firms listed and traded on the Istanbul Stock Exchange during the period of 1990–1996. The results show that the Turkish IPOs are underpriced on initial trading day on...
A firm’s announcement that it intends to restructure based on tracking stock is usually associated with a positive stock price reaction, at least in the short run. Typically, this reaction is attributed to expected reductions in a diversification discount, through reduced agency costs or information asymmetries. We reinvestigate this latter hypothesis by focusing on the liquidity provided by ma...
Financial press reports claim that internet stock message boards can move markets. We study the effect of more than 1.5 million messages posted on Yahoo! Finance and Raging Bull about the 45 companies in the Dow Jones Industrial Average, and the Dow Jones Internet Index. The bullishness of the messages is measured using computational linguistics methods. News stories reported in the Wall Street...
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