Covid-19 and the Technology Bubble 2.0: Evidence from DCC-MGARCH and Wavelet Approaches

Caner Ozdurak, Cengiz Karatas
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Abstract

There has probably never been as big a divergence between markets and economies as there is in the pandemic period. This paper is an attempt to test the ‘time-varying’ and ‘time-scale dependent’ volatilities of major technology stocks, FAANG and Microsoft, for analyzing the possibility of a second technology bubble in the markets. Consistent with the results of DCC-GARCH models, our analysis based on the application of the Wavelet approach also indicates that major technology behave and move as if they were all one stock in the pandemic period which makes us to be cautious about a second dotcom crisis since %26 of S&P 500 market cap is driven by FAANG and Microsoft stocks. JEL classification numbers: C58, D53, O14. Keywords: Dot-com crisis, tech bubble, DCC-GARCH, FAANG, Wavelet.
Covid-19和技术泡沫2.0:来自DCC-MGARCH和小波方法的证据
市场和经济之间的分歧可能从未像疫情期间那样大。本文试图测试主要科技股FAANG和微软的“时变”和“时间尺度依赖”波动性,以分析市场中第二次科技泡沫的可能性。与DCC-GARCH模型的结果一致,我们基于小波方法应用的分析也表明,主要科技公司的行为和走势就好像它们在大流行期间都是一只股票,这使我们对第二次互联网危机持谨慎态度,因为标准普尔500指数市值的%26是由FAANG和微软股票驱动的。JEL分类号:C58, D53, O14。关键词:互联网危机,科技泡沫,dc - garch, FAANG,小波。
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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