Erer Deniz, Erer Elif, Güngör Selim
Independent Researcher, Izmir, Turkey.
School of Applied Sciences, Manisa Celal Bayar University, Manisa, Turkey.
Financ Innov. 2023;9(1):80. doi: 10.1186/s40854-023-00484-4. Epub 2023 May 1.
This study aims to examine the time-varying efficiency of the Turkish stock market's major stock index and eight sectoral indices, including the industrial, financial, service, information technology, basic metals, tourism, real estate investment, and chemical petrol plastic, during the COVID-19 outbreak and the global financial crisis (GFC) within the framework of the adaptive market hypothesis. This study employs multifractal detrended fluctuation analysis to illustrate these sectors' multifractality and short- and long-term dependence. The results show that all sectoral returns have greater persistence during the COVID-19 outbreak than during the GFC. Second, the real estate and information technology industries had the lowest levels of efficiency during the GFC and the COVID-19 outbreak. Lastly, the fat-tailed distribution has a greater effect on multifractality in these industries. Our results validate the conclusions of the adaptive market hypothesis, according to which arbitrage opportunities vary over time, and contribute to policy formulation for future outbreak-induced economic crises.
本研究旨在在适应性市场假说的框架内,考察土耳其股票市场主要股指以及八个行业指数(包括工业、金融、服务业、信息技术、基本金属、旅游业、房地产投资和化学石油塑料行业指数)在新冠疫情爆发期间和全球金融危机期间随时间变化的效率。本研究采用多重分形去趋势波动分析来说明这些行业的多重分形性以及短期和长期依赖性。结果表明,与全球金融危机期间相比,所有行业回报在新冠疫情爆发期间具有更强的持续性。其次,房地产和信息技术行业在全球金融危机和新冠疫情爆发期间的效率水平最低。最后,厚尾分布对这些行业的多重分形性影响更大。我们的结果验证了适应性市场假说的结论,即套利机会随时间变化,并有助于为未来因疫情引发的经济危机制定政策。