Nonlinearity in Stock Exchange Markets: The Case of Bist 100 Indices

Jamilu Said Babangida
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Abstract

In this paper, using data for the Bist 100 index, we investigate the presence of nonlinearities by employing several nonlinearity tests. The Brock, Dechert, and Scheinkman (BDS) and runs tests were first applied to the series to show an initial indication of nonlinearity. The findings for the BDS and runs test of randomness were followed by other sets of direct nonlinearity tests developed by White (1989), Terasvirta (1993), Keenan (1985), and Tsay (1986). Also, the Threshold Autoregression (TAR) test is employed as a final test to confirm the existence of nonlinearity in the Turkish stock exchange market. From the results of the nonlinearity test, it is concluded that the Bist 100 index is characterised by the presence of nonlinearities and cycles. This finding is in contrast with the efficient market hypothesis (EMH) implying that the Turkish stock exchange market is inefficient.
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证券交易市场的非线性:以Bist 100指数为例
本文利用Bist 100指数的数据,通过几种非线性检验来研究非线性的存在性。首先将Brock, Dechert, and Scheinkman (BDS)和运行测试应用于该系列,以显示非线性的初始指示。在BDS和运行随机性检验的发现之后,White(1989年)、Terasvirta(1993年)、Keenan(1985年)和Tsay(1986年)开发了其他组直接非线性检验。此外,采用阈值自回归(TAR)检验作为最终检验,以确认土耳其证券交易所市场存在非线性。非线性检验结果表明,Bist 100指数具有非线性和循环的特征。这一发现与有效市场假说(EMH)相反,该假说暗示土耳其证券交易所市场效率低下。
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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