Vol. 12 No. 4 (2024): Business & Management Studies: An International Journal
Articles

Assessing the impact of interest rate fluctuations on sector index volatility in Bourse Istanbul: A GARCH approach

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  • Nurhan Toğuç
Nurhan Toğuç
Assistant Prof., Istanbul Gelisim University, Istanbul, Turkiye

Published 2024-12-25

Keywords

  • Interest Rates, Bourse Istanbul, BIST-100, Sector Indices, Volatility, GARCH
  • Faiz Oranları, Borsa İstanbul, BIST-100, Sektör Endeksleri, Volatilite, GARCH

How to Cite

Assessing the impact of interest rate fluctuations on sector index volatility in Bourse Istanbul: A GARCH approach. (2024). Business & Management Studies: An International Journal, 12(4), 713-728. https://doi.org/10.15295/qk86ez51

Copyright (c) 2024 Nurhan Toğuç

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Assessing the impact of interest rate fluctuations on sector index volatility in Bourse Istanbul: A GARCH approach. (2024). Business & Management Studies: An International Journal, 12(4), 713-728. https://doi.org/10.15295/qk86ez51

Abstract

This study analyses the impact of interest rate changes and past volatility on sector index returns in Borsa Istanbul using a GARCH(1,1) model. The results show that interest rate changes negatively affect sector returns, including banking, food, holdings, tourism, services, transportation, financial, industrial, and technology. Furthermore, the GARCH(1,1) model indicates persistence in volatility in sectors like banking, holdings, transportation, financial, industrial, and technology, where past volatility strongly influences future volatility. Conversely, sectors such as food, tourism, and services exhibit less volatility persistence, suggesting more stable returns during interest rate fluctuations. The GARCH (1,1) specification outperforms the ARCH model by capturing the persistence of variance, making it a more reliable measure for sectoral volatility. The results align with previous research, mainly on the sensitivity of financial sectors to interest rate changes and market volatility. This study's unique contribution lies in its focus on BIST 100 sectors, offering valuable insights for investors to optimise asset allocation. By understanding sector-specific sensitivities to interest rate changes and volatility, investors can make informed decisions to enhance returns.

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References

  1. Antonakakis, N., Chatziantoniou, I., & Filis, G. (2013). Dynamic co-movements of stock market returns, implied volatility and policy uncertainty. Economics Letters, 120(1), 87-92.
  2. Baillie, R. T., and DeGennaro, R. P. (1990). Stock returns and volatility. Journal of Financial and Quantitative Analysis, 25(2), 203-214. https://doi.org/10.2307/2330824 (Access Date 01.07.2024)
  3. Bollerslev, T. (1986). Generalised autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327. https://doi.org/10.1016/0304-4076(86)90063-1 (Access Date 01.07. 2024)
  4. Bollerslev, T., Chou, R. Y., & Kroner, K. F. (1992). ARCH modeling in finance: A review of the theory and empirical evidence. Journal of Econometrics, 52(1–2), 5-59. https://doi.org/10.1016/0304-4076(92)90064-X (Access Date 01.07.2024)
  5. Campbell, J. Y., and Hentschel, L. (1992). No news is good news: An asymmetric model of changing volatility in stock returns. Journal of Financial Economics, 31(3), 281-318. https://doi.org/10.1016/0304-405X(92)90037-X (Access Date 20.07.2024)
  6. Campbell, J. Y., and Shiller, R. J. (1988). Stock prices, earnings, and expected dividends. Journal of Finance, 43(3), 661-676.
  7. Caporale, G. M., and Spagnolo, N. (2011). Stock market integration between three CEECs, Russia and the UK. Review of International Economics, 19(1), 158-169. https://doi.org/10.1111/j.1467-9396.2010.00949.x (Access Date 20.07.2024)
  8. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007. https://doi.org/10.2307/1912773 (Access Date 20.07.2024)
  9. Engle, R. F., & Bollerslev, T. (1986). Modeling the persistence of conditional variances. Econometric Reviews, 5(1), 1-50. https://doi.org/10.1080/07474938608800095 (Access Date 20.07.2024)
  10. Engle, R. F., & Ng, V. K. (1993). Measuring and testing the impact of news on volatility. Journal of Finance, 48(5), 1749-1778. https://doi.org/10.1111/j.1540-6261.1993.tb05127.x (Access Date 20.07.2024)
  11. Engle, R. F., & Patton, A. J. (2001). What good is a volatility model? Quantitative Finance, 1(2), 237-245.
  12. Glosten, L. R., Jagannathan, R., and Runkle, D. E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. Journal of Finance, 48(5), 1779-1801. https://doi.org/10.1111/j.1540-6261.1993.tb05128.x (Access Date 20.07.2024)
  13. Kim, S. J., and In, F. H. (2007). The influence of foreign equity flows on emerging market equity returns: The case of Korea. Pacific-Basin Finance Journal, 15(1), 49-73. https://doi.org/10.1016/j.pacfin.2006.02.001 (Access Date 20.07.2024)
  14. McMillan, D. G., and Wohar, M. E. (2013). Stock return predictability and dividend-price ratio: A new approach. Journal of Banking and Finance, 37(12), 5125-5136. https://doi.org/10.1016/j.jbankfin.2013.08.023 (Access Date 20.07.2024)
  15. Nguyen, D., and Bhatti, M. I. (2012). Copula model dependency between oil prices and stock markets: Evidence from China and Vietnam. Journal of International Financial Markets, Institutions and Money, 22(4), 758-773. https://doi.org/10.1016/j.intfin.2012.04.009 (Access Date 20.07.2024)
  16. Nybo, C. (2021). Sector volatility prediction performance using GARCH models and artificial neural networks. arXiv preprint arXiv:2110.09489 (Access Date 20.07.2024)
  17. Rastogi, S., Kanoujiya, J., and Singh, S. P. (2023). Volatility integration of crude oil, gold, and interest rates on the exchange rate: DCC GARCH and BEKK GARCH applications. Cogent Economics & Finance, 11(1), 2289700. https://doi.org/10.1080/23311975.2023.2289700 (Access Date 20.07.2024)
  18. Schwert, G. W. (1989). Why does stock market volatility change over time? Journal of Finance, 44(5), 1115-1153. https://doi.org/10.1111/j.1540-6261.1989.tb02647.x (Access Date 20.07.2024)
  19. Tsai, I. C. (2014). Spillover effect of the US dollar exchange rate on stock prices of East Asian countries. Journal of Asian Economics, 33, 84-92. https://doi.org/10.1016/j.asieco.2014.05.003 (Access Date 20.07.2024)