Volatility during the financial crisis through the lens of high frequency data : a realized GARCH approach
Banulescu-Radu, Denisa
Hansen, Peter Reinhard
Huang, Zhuo
Matei, Marius

Data: 2017
Resum: We study financial volatility during the global financial crisis and use the largest volatility shocks to identify major events during the crisis. Our analysis makes extensive use of high frequency (HF) financial data to model volatility and, importantly, to determine the timing within the day when the largest volatility shocks occurred. The latter helps us identify the events that may be associated with each of these shocks, and serves to illustrate the benefits of using high-frequency data. Some of the largest volatility shocks coincide, not surprisingly, with the bankruptcy of Lehman Brothers on September 15, 2008 and Congress's failure to pass the Emergency Economic Stabilization Act on September 29, 2008. The day with the largest volatility shock was February 27, 2007, the date when Freddie Mac announced a stricter policy for underwriting subprime loans and a date that was marked by a crash on the Chinese stock market. However, the intraday HF data shows that the main culprit was a computer glitch in the trading system. The days with the largest drops in volatility can in most cases be related to interventions by governments and central banks.
Resum: The ADEMU Working Paper Series is being supported by the European Commission Horizon 2020 European Union funding for Research & Innovation, grant agreement No 649396.
Ajuts: European Commission 649396
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Col·lecció: Barcelona Graduate School of Economics. ADEMU working paper series
Col·lecció: ADEMU Working Paper Series ; 63
Document: Working paper
Matèria: Financial crisis ; Volatility ; High frequency data ; Realized GARCH

Adreça alternativa: https://hdl.handle.net/10230/32390


35 p, 1.2 MB

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 Registre creat el 2018-10-23, darrera modificació el 2022-07-09



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