Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis

This study analyses the presence of implied volatility smirk (IVS) and its predictability of the US stock market crash during the Global Financial Crisis (GFC) through the in-sample and out-of-sample tests. The in-sample investigation was conducted for 18 cases (cases 1–18) to confirm the developmen...

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Main Authors: Tanvir Bhuiyan, Ariful Hoque, Thi Le
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Open Innovation: Technology, Market and Complexity
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2199853123002676
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author Tanvir Bhuiyan
Ariful Hoque
Thi Le
author_facet Tanvir Bhuiyan
Ariful Hoque
Thi Le
author_sort Tanvir Bhuiyan
collection DOAJ
description This study analyses the presence of implied volatility smirk (IVS) and its predictability of the US stock market crash during the Global Financial Crisis (GFC) through the in-sample and out-of-sample tests. The in-sample investigation was conducted for 18 cases (cases 1–18) to confirm the development of IVS during GFC (2007–2009). It also examined another 18 cases (cases 19–36) to ensure the absence of the IVS in the post-GFC period (2010–2011). Finally, an out-of-sample test analysed 63 cases (cases 37–99) to assess the predictability of IVS for the stock market crash during the GFC. The study reveals several critical findings. The in-sample test results show the negative return from simultaneous trading of out-of-the-money put options (OTMP) and at-the-money call options (ATMC) due to out-of-the-money put options implied volatility (OTMPIV) is higher than at-the-money call options implied volatility (ATMCIV) for all 18 cases (cases 1–18), confirming the development of IVS during GFC. However, findings of the in-sample test for cases 19–36 reveal the positive return from simultaneous trading of OTMP and ATMC because of the lower value of OTMPIV compared to ATMCIV, ensuring no occurrence of IVS in the post-GFC period. Finally, only 13 out of 63 cases (from cases 37–99) under the out-of-sample test show the IVS can forecast negative returns in an abnormal stock market. Further, the predictability of IVS for the US stock market crash depends on the maturity of options, forecast horizon, and options trading period
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spelling doaj.art-a24e77bc6a834e4f8dc9df60b576759d2023-12-14T05:22:42ZengElsevierJournal of Open Innovation: Technology, Market and Complexity2199-85312023-12-0194100165Analysing implied volatility smirk to predict the US stock market crash during the global financial crisisTanvir Bhuiyan0Ariful Hoque1Thi Le2Murdoch Business School, Murdoch University, Western Australia, AustraliaMurdoch Business School, Murdoch University, Western Australia, AustraliaCorresponding author.; Murdoch Business School, Murdoch University, Western Australia, AustraliaThis study analyses the presence of implied volatility smirk (IVS) and its predictability of the US stock market crash during the Global Financial Crisis (GFC) through the in-sample and out-of-sample tests. The in-sample investigation was conducted for 18 cases (cases 1–18) to confirm the development of IVS during GFC (2007–2009). It also examined another 18 cases (cases 19–36) to ensure the absence of the IVS in the post-GFC period (2010–2011). Finally, an out-of-sample test analysed 63 cases (cases 37–99) to assess the predictability of IVS for the stock market crash during the GFC. The study reveals several critical findings. The in-sample test results show the negative return from simultaneous trading of out-of-the-money put options (OTMP) and at-the-money call options (ATMC) due to out-of-the-money put options implied volatility (OTMPIV) is higher than at-the-money call options implied volatility (ATMCIV) for all 18 cases (cases 1–18), confirming the development of IVS during GFC. However, findings of the in-sample test for cases 19–36 reveal the positive return from simultaneous trading of OTMP and ATMC because of the lower value of OTMPIV compared to ATMCIV, ensuring no occurrence of IVS in the post-GFC period. Finally, only 13 out of 63 cases (from cases 37–99) under the out-of-sample test show the IVS can forecast negative returns in an abnormal stock market. Further, the predictability of IVS for the US stock market crash depends on the maturity of options, forecast horizon, and options trading periodhttp://www.sciencedirect.com/science/article/pii/S2199853123002676Implied volatility smirkGlobal financial crisisStock market crash
spellingShingle Tanvir Bhuiyan
Ariful Hoque
Thi Le
Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis
Journal of Open Innovation: Technology, Market and Complexity
Implied volatility smirk
Global financial crisis
Stock market crash
title Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis
title_full Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis
title_fullStr Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis
title_full_unstemmed Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis
title_short Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis
title_sort analysing implied volatility smirk to predict the us stock market crash during the global financial crisis
topic Implied volatility smirk
Global financial crisis
Stock market crash
url http://www.sciencedirect.com/science/article/pii/S2199853123002676
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AT arifulhoque analysingimpliedvolatilitysmirktopredicttheusstockmarketcrashduringtheglobalfinancialcrisis
AT thile analysingimpliedvolatilitysmirktopredicttheusstockmarketcrashduringtheglobalfinancialcrisis