The Jumps in the Stock Returns: The Evidence from the Polish Stock Market

Barbara Będowska-Sójka
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Abstract

The availability of intraday data led to the development of new concepts and models. In the paper we focus on the jumps observed in the stock and index returns. These abnormal returns should be linked to information on the market. Here we detect jumps in equally spaced 15-minute intraday returns for most liquid stocks quoted on the Warsaw Stock Exchange and WIG20 index within 7 months time. The Lee-Mykland (2008) non-parametric test of jumps is used in order to detect jumps. We use two approaches: with and without filtering the data from the periodicity. This test allows us to identify jumps with their exact time and size. We check what kind of information produces jumps in case of individual stocks and index and describe the detected jumps for KGHM in details.
股票收益的跳跃:来自波兰股市的证据
即日数据的可用性导致了新概念和模型的发展。在本文中,我们关注的是在股票和指数收益中观察到的跳跃。这些异常回报应与市场信息挂钩。在这里,我们检测到华沙证券交易所和WIG20指数中大多数流动性股票在7个月内的15分钟内平均间隔的日内回报跳跃。为了检测跳跃,使用了Lee-Mykland(2008)非参数检验。我们使用两种方法:带和不带从周期性中过滤数据。这个测试可以让我们通过准确的时间和大小来识别跳跃。我们检查了在个股和指数的情况下,什么样的信息会产生跳跃,并详细描述了KGHM检测到的跳跃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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