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首页> 外文期刊>International Journal of Finance and Accounting >Calendar Anomalies in BSE Sensex Index Returns in Post Rolling Settlement Period
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Calendar Anomalies in BSE Sensex Index Returns in Post Rolling Settlement Period

机译:滚动结算后时期BSE Sensex指数的日历异常返回

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Calendar Anomalies in the stock market are those patterns that cannot be explained by traditional asset pricing models. Examples of such patterns include the January Effect, the Day-of-the-Week Effect, and the Week of the Month Effects. These anomalies allow investors to develop trading strategies to earn abnormal profits. Recent liberalization policies have led to significant capital flows from investors into India seeking to capitalize on promising and profitable business opportunities. The results of this study will be useful to such investors, traders, and arbitrageurs who can formulate profitable trading strategies to capitalize on calendar anomalies. The Securities and Exchange Board of India (SEBI) introduced the Compulsory Rolling Settlement System for stocks on January 02, 2002. This was expected to boost liquidity and thereby reduce the market risk of stocks to a considerable extent. The introduction of Rolling Settlement was also expected to lead to higher equity turnover and thereby potentially impact the anomalous behavior of stock prices. In this context, the study provides further evidence on the anomalous behavior of stocks in the Indian Stock Market during the Post Rolling Settlement Period from April 2002 to March 2010. The post rolling settlement testing period distinguishes this study from other contemporaneous studies on anomalous behavior of stocks in the Indian stock market that have overlapped both the pre and post rolling settlement period (7 & 16) and thereby provides a more robust basis for drawing conclusions.
机译:股票市场的日历异常是传统资产定价模型无法解释的那些模式。这样的模式的示例包括一月效应,一周中的一天效应和一个月中的一周效应。这些异常现象使投资者能够制定交易策略以赚取异常利润。最近的自由化政策已导致大量资本从投资者流入印度,以寻求利用有前途和有利可图的商业机会。这项研究的结果将对可以制定有利可图的交易策略以利用日历异常的投资者,交易员和套利者有用。印度证券交易委员会(SEBI)于2002年1月2日推出了股票强制滚动结算系统。这有望提高流动性,从而在很大程度上降低股票的市场风险。预计采用滚动结算也会导致更高的股票周转率,从而潜在地影响股票价格的异常行为。在这种情况下,该研究为2002年4月至2010年3月的滚动后结算期期间印度股票市场上的股票异常行为提供了进一步的证据。滚动后结算测试期将该研究与其他同时期的印度异常行为研究区分开来。印度股票市场的股票在滚动结算前后(7和16)都重叠,从而为得出结论提供了更可靠的基础。

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