Advances in Economics, Management and Political Sciences

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Proceedings of the 2023 International Conference on Management Research and Economic Development

Series Vol. 18 , 13 September 2023


Open Access | Article

The Impact of Non-war Geopolitical Risk on Return and Implied Volatility on Stock

Hao Lin * 1 , Ziwei Zhang 2 , Yuxin Jin 3
1 King’s College London
2 King’s College London
3 New York University

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 18, 121-133
Published 13 September 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Hao Lin, Ziwei Zhang, Yuxin Jin. The Impact of Non-war Geopolitical Risk on Return and Implied Volatility on Stock. AEMPS (2023) Vol. 18: 121-133. DOI: 10.54254/2754-1169/18/20230063.

Abstract

The impact of non-war geopolitical risks on stocks has not been adequately studied in the academic literature. This paper intends to explore whether disputes between countries or related political news have some impact on stocks prior to the occurrence of war. This paper focused on examining the impact of non-war geopolitical risks on the returns and implied volatility of the call option related to Taiwan Semiconductor Manufacturing Company’s stock. In this paper, different models are used to predict the stock returns and the implied volatility of some call options related to this stock and then compares the estimation with the real data in order to perform hypothesis testing to determine whether the difference is significant. This paper found that non-war geopolitical controversies do not affect the stock returns, but that investors' reaction to risk can be affected differently depending on the nature of the event.

Keywords

geopolitical risk, stock return, implied volatilitygeopolitical risk, implied volatility

References

1. S. P Khotari , Jerold B. ( Ch. 1, 2006) Warner. Econometrics of Event Studies.

2. Alexander L. Burton. (2021) OLS(Linear) Regression. Print ISBN: 9781119110729.

3. Adam Massey, Steven J. Miller. (2021) Tests of Hypotheses Using Statistics. Providence, RI 02912.

4. Steven L. Heston. A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options. The Review of Financial Studies Vol. 6, No. 2 (1993), pp. 327-343 Published By: Oxford University Press.

5. John C. Hull. (2009) Options, Futures, And Other Derivatives (NINTH EDITION). Printer/Binder: Courier Kendallville.

6. Burgess, Nicholas, Correlated Monte Carlo Simulation using Cholesky Decomposition (March 25, 2022). Available at SSRN: https://ssrn.com/abstract=4066115.

7. Kloeden, P.E. & Platen, E. (1992). Numerical Solution of Stochastic Differential Equations. Springer, Berlin. ISBN 3-540-54062-8.

8. Black, F. and Scholes, M. (1973) The Pricing of Options and Corporate Liabilities.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Management Research and Economic Development
ISBN (Print)
978-1-915371-79-9
ISBN (Online)
978-1-915371-80-5
Published Date
13 September 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/18/20230063
Copyright
13 September 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated