The impact of the SARS-CoV-2 pandemic on financial markets: a seismologic approach

被引:0
作者
Alessandro Spelta
Nicolò Pecora
Andrea Flori
Paolo Giudici
机构
[1] University of Pavia,Department of Economics and Management
[2] Catholic University,Department of Economics and Social Sciences
[3] Polytechnic of Milan,Department of Management, Economics and Industrial Engineering
来源
Annals of Operations Research | 2023年 / 330卷
关键词
SARS covid-2; Financial markets; Omori law; Agent-based modeling; G15; G18; G41;
D O I
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中图分类号
学科分类号
摘要
This work investigates financial volatility cascades generated by SARS-CoV-2 related news using concepts developed in the field of seismology. We analyze the impact of socio-economic and political announcements, as well as of financial stimulus disclosures, on the reference stock markets of the United States, United Kingdom, Spain, France, Germany and Italy. We quantify market efficiency in processing SARS-CoV-2 related news by means of the observed Omori power-law exponents and we relate these empirical regularities to investors’ behavior through the lens of a stylized Agent-Based financial market model. The analysis reveals that financial markets may underreact to the announcements by taking a finite time to re-adjust prices, thus moving against the efficient market hypothesis. We observe that this empirical regularity can be related to the speculative behavior of market participants, whose willingness to switch toward better performing investment strategies, as well as their degree of reactivity to price trend or mispricing, can induce long-lasting volatility cascades.
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页码:639 / 664
页数:25
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共 102 条
  • [11] Pierri F(1965)The behavior of stock-market prices The Journal of Business 38 34-105
  • [12] Cinelli M(2014)Financial crisis, Omori’s law, and negative entropy flow International Review of Financial Analysis 33 79-86
  • [13] Flori A(2005)A robust rational route to randomness in a simple asset pricing model Journal of Economic Dynamics and Control 29 1043-1072
  • [14] Galeazzi A(2002)Modeling the stylized facts in finance through simple nonlinear adaptive systems Proceedings of the National Academy of Sciences 99 7221-7228
  • [15] Porcelli F(2016)Rock around the clock: An agent-based model of low-and high-frequency trading Journal of Evolutionary Economics 26 49-76
  • [16] Schmidt AL(1999)Time series properties of an artificial stock market Journal of Economic Dynamics and Control 23 1487-1516
  • [17] Valensise CM(2013)Agent-based financial markets and new Keynesian macroeconomics: a synthesis Journal of Economic Interaction and Coordination 8 1-32
  • [18] Scala A(2003)Power-law relaxation in a complex system: Omori law after a financial market crash Physical Review E 68 016119-134
  • [19] Quattrociocchi W(2004)Dynamics of a financial market index after a crash Physica A: Statistical Mechanics and its Applications 338 125-896
  • [20] Bovi M(1995)Herd behaviour, bubbles and crashes The Economic Journal 105 881-5218