THE IMPACT OF THE 2023 KAHRAMANMARAŞ EARTHQUAKE ON BIST100 AND BIST BANK INDEX: EVIDENCE FROM TODA-YAMAMOTO CAUSALITY TEST

Abstract

Purpose- The effects of the Kahramanmaraş-centred earthquakes that occurred on 6-7 February 2023 on the Borsa Istanbul 100 index and the Banking index are examined. Methodology- Between 06/02/2023 – 07/02/2023, econometric analysis was applied by using BIST 100, BIST BANK index and earthquake data consisting of 312 observations. To determine the degrees of stationarity of the variables, the PP and ADF tests were applied in the study. In the series in which Unit Root analysis was carried out, the VAR model was used to apply Toda-Yamamoto causality analysis. Additionally, techniques for impulse-response functions and variance decomposition were also used. Findings- It has been discovered that the series' level difference is stationary. The Toda-Yamamoto Causality test findings demonstrate a causative link between earthquake magnitude, the BIST 100 index, and the BIST Banking index. In every time, the variations in BISTBANKA and BIST100 are largely self-explanatory. Conclusion- These findings led to the conclusion that the Kahramanmaraş Earthquake had an impact on the decline of the Borsa Istanbul 100 index and banking index on the 6-7 February 2023.

Keywords

• Earthquake
• Borsa Istanbul
• BIST100
• BIST-BANKA
• Toda-Yamamoto Causality Test

References

1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723.
2. Bolak, M., & Süer, Ö. (2007). 17 Ağustos 1999 depreminin taş ve toprağa dayalı sanayide faaliyet gösteren firmaların hisse senetleri üzerindeki etkisine ilişkin amprik bir çalışma. Iktisat Isletme ve Finans, 22(255), 73-84.
3. Cavallo, E., Galiani, S., Noy, I., & Pantano, J. (2013). Catastrophic natural disasters and economic growth. Review of Economics and Statistics, 95(5), 1549-1561.
4. Cinar, E. N., Abbara, A., & Yilmaz, E. (2023). Earthquakes in Turkey and Syria—collaboration is needed to mitigate longer terms risks to health. BMJ, 380.
5. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431.
6. Code, T. B. E. (2018). Disaster and emergency management presidency. Ministry of Interior, Ankara, Turkey.
7. Pehlivan, T. (2023). 2023 Depremlerinin Gaziantep Gastronomi Turizmi Üzerine Potansiyel Etkileri. Turizm Alanında Çok Yönlü Araştırmalar, 139-148.
8. Ferreira, S., & Karali, B. (2015). Do earthquakes shake stock markets?. PloS one, 10(7), e0133319.

9. Gignoux, J., & Menéndez, M. (2016). Benefit in the wake of disaster: Long-run effects of earthquakes on welfare in rural Indonesia. Journal of Development Economics, 118, 26-44.
10. Granger, C. W. (1988). Causality, cointegration, and control. Journal of Economic Dynamics and Control, 12(2-3), 551-559.
11. GÜRSOY, S., ZEREN, F., KEVSER, M., AKYOL, G., & TUNÇEL, M. B. (2023). The Impact of 2023 Turkey Earthquake on İstanbul Stock Market: Evidence from Fourier Volatility Spillover Test. Sosyal Bilimler Araştırma Dergisi, 12(1), 98-105.
12. Hallegatte, S., Jooste, C., & Mcisaac, F. J. (2022). Macroeconomic Consequences of Natural Disasters.
13. HAMURCU, C. (2022). Depremlerin sigortacılık sektörü hisse senetleri üzerinde etkisi olabilir mi? 2020 yılındaki İzmir depremi üzerine bir araştırma. İzmir İktisat Dergisi, 37(2), 428-442.
14. Lackner, S. (2018). Earthquakes and economic growth (No. 190). FIW Working Paper.
15. Lamb, R. P., & Kennedy, W. F. (1997). Insurer stock prices and market efficiency around the Los Angeles earthquake. Journal of Insurance Issues, 4(2),10-24.
16. MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), 601-618.
17. Noy, I. (2009). The macroeconomic consequences of disasters. Journal of Development Economics, 88(2), 221-231.
18. Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
19. Servet, S. A. Y., & DOĞAN, M. (2023). Depremlerin Hisse Senedi Getirileri Üzerindeki Etkisi: 2023 Yılı Kahramanmaraş Depremi Örneği. Sosyal Bilimler Araştırma Dergisi, 12(1), 90-97.
20. Scholtens, B., & Voorhorst, Y. (2013). The impact of earthquakes on the domestic stock market. Earthquake Spectra, 29(1), 325-337.
21. Shelor, R., Anderson, D., & Cross, M. (1990). The impact of the California earthquake on real estate firms' stock value. Journal of Real Estate Research, 5(3), 335-340.
22. Takao, A., Yoshizawa, T., Hsu, S., & Yamasaki, T. (2013). The effect of the Great East Japan earthquake on the stock prices of non-life insurance companies. The Geneva Papers on Risk and Insurance-Issues and Practice, 38, 449-468.
23. Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250.
24. Worthington, A. C. (2008). The impact of natural events and disasters on the Australian stock market: A GARCH-M analysis of storms, floods, cyclones, earthquakes and bushfires. Global Business and Economics Review, 10(1), 1-10.
25. Worthington*, A., & Valadkhani, A. (2004). Measuring the impact of natural disasters on capital markets: an empirical application using intervention analysis. Applied Economics, 36(19), 2177-2186.,
26. Yamori, N., & Kobayashi, T. (2002). Do Japanese insurers benefit from a catastrophic event?: Market reactions to the 1995 Hanshin–Awaji earthquake. Journal of the Japanese and International Economies, 16(1), 92-108.
27. Yıldırım, H., & Alola, A. (2020). Do earthquakes affect stock market ındex? OPUS International Journal of Society Researches, 15(1), 4768-4780.
28. Yılmaz, F. A., & Karan, M. B. (2015). Türkiye'deki büyük depremlerin Borsa Istanbul'da sektörel etkisinin test edilmesi. Journal of Insurance Research/Sigorta Arastirmalari Dergisi, 11, 221-234.