The determinants of main stock exchange index changes in emerging countries: evidence from Turkey in COVID-19 pandemic age

IF 3.2 Q1 BUSINESS, FINANCE
Mustafa Tevfik Kartal, 1 Strategic Planning and Investor Relations Directorate in Borsa İstanbul, İstanbul, Turkey, Özer Depren, Serpil Kılıç Depren, 2 Customer Experience Researches Directorate in Yapı Kredi Bank, İstanbul, Turkey, 3 Department of Statistics, Yıldız Technical University, İstanbul, Turkey
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Abstract

With the emergence and spreading of COVID-19 pandemic all over the world, the uncertainty has been increasing for countries. Depending on this condition, especially emerging countries have been affected negatively by foreign portfolio investment outflows from stock exchanges, and main stock exchange indices have been collapsed. The study examines the causes of the main stock exchange index changes in Turkey in the COVID-19 period. In this context, 14 variables (3 global, 6 country-level, 5 market-level) are analyzed by employing random forest and support vector machine algorithms and using daily data between 01.02.2020 and 05.15.2020, which includes the pre-pandemic and the pandemic periods. The findings prove that (i) the most important variables are the retention amount of foreign investors in the equity market, credit default swap spreads, government bonds interest rates, Morgan Stanley Capital International (MSCI) emerging markets index, and volatility index in the pre-pandemic period; (ii) the importance of variables changes as MSCI emerging markets index, the volatility index, retention amount of foreign investors in the equity market, amount of securities held by the Central Bank of Republic of Turkey (CBRT), equity market traded value in the pandemic period; (iii) support vector machine has superior estimation accuracy concerning random forest algorithms in both pre-pandemic and pandemic period.
新兴国家主要证券交易所指数变化的决定因素:来自2019冠状病毒病大流行时期土耳其的证据
随着新冠肺炎疫情在全球范围内的出现和蔓延,各国面临的不确定性不断增加。在这种情况下,特别是新兴国家受到外国证券投资从证券交易所流出的负面影响,主要证券交易所指数暴跌。该研究考察了2019冠状病毒病期间土耳其主要证券交易所指数变化的原因。在此背景下,采用随机森林和支持向量机算法,并使用2020年2月1日至2020年15月5日期间(包括大流行前和大流行期间)的每日数据,分析了14个变量(3个全球变量、6个国家变量和5个市场变量)。研究结果表明:(1)疫情前外国投资者在股票市场的持有量、信用违约互换利差、政府债券利率、摩根士丹利资本国际(MSCI)新兴市场指数和波动率指数是最重要的变量;㈡变量的重要性随着MSCI新兴市场指数、波动性指数、外国投资者在股票市场的留存量、土耳其共和国中央银行持有的证券数量、大流行期间股票市场交易价值的变化而变化;(三)支持向量机在大流行前和大流行期间对随机森林算法的估计精度都较高。
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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来源期刊
CiteScore
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
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