Investor Reactions to Russia-Ukraine War Years 2022 Using a Bayesian Analysis Approach

Authors

  • Noldy Takaliuang Sekolah Tinggi Ilmu Ekonomi Sulawesi Utara Author

DOI:

https://doi.org/10.71154/465nvw26

Keywords:

Efficient Market Hypothesis , Event Study, Bayesian Analysis

Abstract

The purpose of this study was to determine the market reaction to changes in stock prices on the Russian-Ukraine war event on the Indonesia Stock Exchange in 2022. This research using Bayesian analysis Approach on banking stocks. The results show that the AAR and CAR Before-After of the three models do not show significant results or market anomaly. The implications of the results of this research for investors and researchers that the events of the Russian-Ukraine war in 2022 can be taken into consideration for investors to be more rational in responding to political events in making investments in both the financial sector or other sectors, and for other researchers the EMH theory is no longer relevant to recent world developments. The limitations in this study are only in the financial sector in banking stocks, and the future big agenda will be expanded in several sectors, namely manufacturing, infrastructure and technology on the Indonesia stock exchange. The novelty in this research is that it uses the Bayesian analysis approach to the three models of approaches that have been and are often used, but in this case it is very different from previous researchers who have never used the Bayesian analysis approach

Downloads

Download data is not yet available.

References

Aas, K. (2004) To Log or Not to log: The Distribution of Asset Returns, SAMBA/03/04 Norwegian Computing Center,

Agyei S.K. (2023) Emerging Markets Equities? Response to Geopolitical Risk: Time-Frequency Evidence from the Russian-Ukrainian Conflict Era, Heliyon 9

Alexander, Sidney S. (1961). “Price Movements in Speculative Markets: Trends or Random Walks.” Industrial Management Review II: May, pp 7-26

April Klein and James Rosenfeld (1987) The Influence of Market Conditions on Event-Study Residuals The Journal of Financial and Quantitative Analysis Vol. 22, No. 3 (Sep, 1987) pp. 345-351 (7 pages) Pub.By: Cambridge University Press

Ariely, D. (2008). Predictably Irrational: The Hidden Forces That Shape Our Decisions. USA: Harper Collins

Baker, M., Wurgler, J., 2006. Investor Sentiment and the Cross-Section of Stock Returns. J. Finance. 61 (4), https://doi.org/10.1111/j.1540-6261.2006.00885.x.

Bartholdy, J., Olson, D., &Peare, P. (2005). Conducting Event Studies on a Small Stock Exchange. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.710982

Bedowska-Sojka, B., Demir, E. and Zaremba, A. (2022). Hedging Geopolitical Risks with Different Asset Classes: A Focus on the Russian Invasion of Ukraine, Finance Research Letters, p. 103192.

Bernardo JM, Smith AFM. Bayesian Theory. New York: Wiley; 1994

Black, F. and Scholes, M. (1973) The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 8, http://dx.doi.org/10.1086/260062

Bossman A., Gubareva M. (2023), Asymmetric Impacts of Geopolitical Risk on Stock Markets: A Comparative Analysis of the E7 and G7 Equities During the Russian-Ukrainian Conflict, Heliyon 9

Boungou W., A. Yatie(2022)., The Impact of the Ukraine-Russia War on World Stock Market Returns, Econ. Lett. 215

Brown, S.J. and Warner, J.B. (1980). Measuring Security Price Performance. Journal of Financial Economics, 8(3), 205-258

Campbell, J.Y., Lo, A.W., and MacKinlay, A.C. (1997) The Econometrics of Financial Markets Princeton University Press, New Jersey

Carlin BP, Louis TA. (1996) Bayes and Empirical Bayes Methods for Data Analysis. London: Chapman and Hall

Demir E, Gozgor G, S.R. Paramati, Do Geopolitical Risks Matter for Inbound Tourism? Eurasian Bus. Rev. 9 (2019) 183–191

Dyckman et al., (1984), “A Comparison of Event Study Methodologies using Daily Stock Returns, A Simulation Approach”, Journal of Accounting Research, 22 pp.1-33.

Etz, A., and Wagenmakers, E.-J. (2017), “J. B. S. Haldane’s Contribution to the Bayes Factor Hypothesis Test,” Statistical Science, 32, 313–329. [137]

Fama, E. F., & French, K. R. (1996). Multifactor Explanations of Asset Pricing Anomalies. The Journal of Finance, 51, 55-84. https://doi.org/10.1111/j.1540-6261.1996.tb05202.x

Fama, E., Fisher, L., Jensen, M., & Roll, R. (1969). The Adjustment of Stock Prices to New Information. International Economic Review, 10(1), 1-21. DOI:10.2307/2525569.

Fama, E.F., Fisher, L., Jensen, M.C., and Roll, R. (1969) “The Adjustment of Stock Prices to New Information.” International Economic Review, 10 (1), 1–21

Fama, Eugene F (1970). ”Efficient Capital Markets: A Review of Theory and Empirical Work”. The Journal of Finance 25 (2): 383 417.

Fama, Eugene F. 1965a. ”The Behavior of Stock-Market Prices”. The Journal of Business 38 (1): 34 105.

Gelman A (2008) Scaling Regression Inputs by Dividing by Two Standard Deviations. Statistics in Medicine.;27:2865-2873

Gelman A, Carlin JB, Stern HS, Rubin DB (1995). Bayesian Data Analysis. London: Chapman and Hall

Gönen, M., Johnson, W. O., Lu, Y., and Westfall, P. H. (2005), “The Bayesian Two-Sample t-Test,” The American Statistician, 59, 252–257. [137,138,139,141]

Guy Kaplanski and Haim Levy (2010) Sentiment, Irrationality and Market Efficiency: The Case of the 2010 FIFA World Cup. Journal of Behavioral and Experimental Economics Journal Homepage: www.elsevier.com/locate/jbee

Håvard Hartgen Nordås European Energy Markets in Turmoil- Russia’s Invasion of Ukraine and its Impact on Stock Prices of European Energy Firms

Hudson, R., & Urquhart, A. (2015). War and Stock Markets: The effect of World War Two on the British stock market, International Review of Financial Analysis, Available online: https://www.sciencedirect.com/science/article/pii/S1057521915000976

Irresberger, F., Mühlnickel, J., Weiß, G.N., 2015. Explaining Bank Stock Performance with Crisis Sentiment. J. Bank. Financ. 59, 311–329. https://doi.org/10.1016/j.jbankfin.2015.06.001

Javier Prieto Tejedor (2017) Bayesian Inference http://dx.doi.org/10.5772/66264. Published by InTech. Janeza Trdine 9, 51000 Rijeka, Croatia.

Jeffreys, H. (1942) “On the Significance Tests for the Introduction of New Functions to Represent Measures,” Proceedings of the Royal Society of London, Series A, 180, 256–268

Jeffreys, H. (1948), Theory of Probability (2nd ed.). Oxford: Oxford University Press.

Jeffreys, H. (1961), Theory of Probability (3rd ed.), Oxford: Oxford University Press.

Jensen, M.C. (1978) Some Anomalous Evidence Regarding Market Efficiency. Journal of Financial Economics, 6, 95-101 https://doi.org/10.1016/0304-405X(78)90025-9

Kadilli, A., 2015. Predictability of Stock Returns of Financial Companies and The Role of Investor Sentiment: A Multi-Country Analysis. J. Financ. Stab. 21, https://doi.org/10.1016/j.jfs.2015.09.004.

Kass, R. E, and Raftery, A. E. (1995), “Bayes Factors,” Journal of the American Statistical Association, 90, 773–795.

Khalfaoui R, Gozgor G, Goodell J.W.(2023) Impact of Russia-Ukraine War Attention on Cryptocurrency : Evidence from Quantile Dependence Analysis, Finance Res. Lett. 52

Klein, April and Rosenfield, James (1987), “The Influence of Market Conditions on Event Study Residuals, Journal of Financial and Quantitative Analysis, Vol.22, pp.345-351

Kothari, S. P & Warner, J. B. (2007). Econometrics of Event Studies. Handbook of Empirical Corporate Finance 3–36. https://doi.org/10.1016/B978-0-444- 53265-7.50015-9

Kothari, S. P., & Warner, J. B. (2007). Event Study Methodologies: When do the Event Model Assumptions Matter?"

Kumari V., Kumar G., Pandey D.K.(2023), Are the European Union Stock Markets Vulnerable to the Russia-Ukraine War? J. Behav. Exp. Financ. 37.

Kumari V., Pandey D.K., Kumar S, E.M. Xu(2022),, What Do Border Disputes Cost? Evidence from an Emerging Market, Int. J. Emerg. Mark. https://doi.org/10.1108/IJOEM-06-2022-0918.

Lakonishok, J., & Vermaelen, T. 1990. Anomalous Price Behaviour Around Repurchase Tender Offers. Journal of Finance, 45(2): 455–477

Lin CY, Gelman A, Price PN, Krantz DH (1999). Analysis of Local Decisions using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation (with discussion). Statistical Science.

MacKinlay, A.C., 1997. Event Studies in Economics and Finance. J. Econ. Lit. 35 (1), 13–39

Malkiel, B. (2003). The Efficient Market Hypothesis and Its Critics. The Journal of Economic Perspectives, 17, 59-82. https://doi.org/10.1257/089533003321164958

Maneenop, S. and Kotcharin, S. (2020) “The impacts of COVID-19 on The Global Airline industry: An Event study Approach.” Journal of Air Transport Management 89: 101920

Min Shi and Wei Yu (2018) Market Reactions to Supply Chain Management Excellence. J. Risk Financial Manag. 2018, doi:10.3390/jrfm11040062 www.mdpi.com/journal/jrfm

Nikiforos T. Laopodis, Understanding Investments Theories and Strategies, (Taylor & Francis, 2013)

Robert, C.P., Chopin, N. and Rousseau, J. (2009) Harold Jeffreys’s Theory of Probability Revisited (with discussion). Statistical Science, 24, 2, 141-172.

Samuelson, Paul A. (1965) ”Rational Theory of Warrant Pricing”. Industrial Management Review 6 (2): 13 39

Setayesh, Mohammad Hossein and Sarmadinia, Abdolmajid (2019) A Moderate Viewpoint to Efficient-Market Hypothesis and Behavioral Finance: the Efficiency of the Behavior of Participants in Transactions https://ijaaf.um.ac.ir DOI:10.22067/ijaaf.v3i1.79558

Shiller, R. J. (2015). Irrational Exuberance Revised and Expanded Third Edition. Princeton, NJ: Princeton University Press. https://doi.org/10.2307/j.ctt1287kz5

Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations, Feedbooks.

Stigler S. (1983) Who Discovered Bayes’s Theorem. The American Statistician.

Wagenmakers, E.-J., et al and Zwaan R. A. (2016), “Registered Replication Report: Strack, Martin, & Stepper (1988),” Perspectives on Psychological Science, 11, 917–928. [140]

Wrinch, D., and Jeffreys, H. (1921), “On Certain Fundamental Principles of Scientific Inquiry,” Philosophical Magazine, 42, 369–390

Yao, J. (2014) Market Segmentation, Information Asymmetry and Investor Responses in the Chinese A- and B-Markets, Australasian Accounting, Business and Finance Journal, 8(1), 79- 100. https://doi.org/10.14453/aabfj.v8i1.5

Zaghum Umar, Mariya Gubareva , Tamara Teplova , Dang K. Tran (2022) Covid-19 impact on NFTs and Major Asset Classes Interrelations: Insights from The Wavelet Coherence Analysis. Finance Research Letters Volume 47, Part B, June 2022

Published

2025-03-11

Issue

Section

Articles

How to Cite

Investor Reactions to Russia-Ukraine War Years 2022 Using a Bayesian Analysis Approach. (2025). International Journal Business and Entrepreneurship, 2(1), 1-18. https://doi.org/10.71154/465nvw26

Similar Articles

You may also start an advanced similarity search for this article.