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Estimation and Forecasting the Relationship Between Exchange Rate Changes and Islamic Stock Performance: A Case Study of The Turkish Dow Jones Islamic Index

Year 2025, Volume: 11 Issue: 2, 326 - 352, 30.09.2025
https://doi.org/10.54427/ijisef.1574635

Abstract

This study aims to estimate and forecast the relationship between exchange rate fluctuations and the performance of the Turkish Dow Jones Islamic Index over the period from January 1, 2020, to May 17, 2024, using weekly data. The study employed the Autoregressive Distributed Lag (ARDL) model, which is considered one of the effective econometric approaches for examining dynamic relationships between economic variables. The findings revealed the existence of a long-term relationship between exchange rate fluctuations and the performance of the Turkish Dow Jones Islamic Index, as reflected in the returns of the Islamic stocks included in the index. Moreover, the results indicated that exchange rate changes exert a positive and direct impact on the index, both in the short and long run, reflecting the interactive nature of financial markets and foreign exchange markets. The data also proved effective in generating accurate in-sample predictions, thereby confirming the suitability of the chosen model and the robustness of its explanatory power. Based on these findings, policymakers can utilize the results to formulate more informed monetary and fiscal policy decisions and to determine the optimal timing for intervention in Islamic markets in line with national economic policies. Likewise, these findings provide investors and portfolio managers with practical tools to hedge against exchange rate risks, enhance the efficiency of portfolio diversification, and improve their ability to predict future stock market movements through close monitoring of foreign exchange markets.

Project Number

1

References

  • Al-Jilani, A. (2015). Exchange rate systems and their relationship with floating. Journal of Organization and Labor, 4(3), 5–16.
  • Bessebaa, A., & Benshisha, K. (2020). Analyzing the impact of exchange rate volatility on the performance of Islamic stock indices: An empirical study of the Dow Jones Islamic Market Index. Journal of Economic Studies, 47(3), 645-662. https://doi.org/10.1108/JES-02-2020-0023
  • Bessebaa, A. (2019). The impact of macroeconomic variables on the performance of Islamic stock markets: A case study of the FTSE Islamic Index of the Malaysian Stock Exchange. International Journal of Finance & Economics, 24(4), 1398-1410. https://doi.org/10.1002/ijfe.1747
  • Ahsan, A., & Miah, M. (2021). Exchange rate volatility and stock prices in GCC markets: Evidence from a GARCH model. Journal of Islamic Economics, 12(2), 215-230. https://doi.org/10.1108/JIE-04-2021-0010
  • Al-Najjar, H. (2005). Mechanism of Building Islamic Stock Market Indices and Its Requirements. In Islamic Financial Institutions: Current Reality and Future Prospects (Vol. 1, pp.1-24). Dubai: United Arab Emirates University.
  • Bashir, A., Khan, A., & Mehmood, M. (2022). The impact of exchange rate depreciation on Turkish Islamic stock market: A dynamic conditional correlation approach. International Review of Economics & Finance, 78, 85-95. https://doi.org/10.1016/j.iref.2022.02.001
  • Biryati, H., & Zidan, M. (2016). Exchange rate system options and their impact on the economies of countries: A case study of Arab countries. Algerian Journal of Economics and Management, 10(2), 33–62.
  • Daouaba, A. (2008). Investment and speculation in stocks and bonds from an Islamic perspective (1st ed.). Cairo: Dar Al-Salam.
  • Daouaba, A. (2021). Islamic financial markets. Istanbul: Dar Al-Mudarris.
  • Dewanti, L. A., Halim, A., & Idris, A. (2021). Sensitivity of Islamic stock returns in Asia: The impact of exchange rate volatility. Asian Economic and Financial Review, 11(6), 704-721.
  • Dornbusch, R., & Fischer, S. (1980). Exchange rates and the current account. The American Economic Review, 70(5), 960–971.
  • Erdoğan, S., Gedikli, A., & Çevik, E. İ. (2020). Volatility spillover effects between Islamic stock markets and exchange rates: Evidence from three emerging countries. Borsa Istanbul Review, 20(4), 322–333. https://doi.org/10.1016/j.bir.2020.04.003
  • Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill Education. Investing.com. (2024). USD/TRY exchange rate. Dow Jones Islamic Market Turkey. https://www.investing.com
  • Javangwe, K. Z., & Takawira, O. (2022). Exchange rate movement and stock market performance: An application of the ARDL model. Cogent Economics and Finance, 10(1), 1–20. https://doi.org/10.1080/23322039.2022.2075520
  • Khaled, M., & Yousuf, A. (2019). The relationship between exchange rates and Islamic stock prices in Malaysia: A VAR approach. Journal of Financial Research, 42(3), 741-755. https://doi.org/10.1111/jfir.12204
  • Khan, M. I., & Khan, A. (2018). Testing the long-run relationship between stock prices and exchange rates: Evidence from Pakistan. Journal of Economics and Sustainable Development, 9(2), 1-10. https://doi.org/10.7176/JESD
  • Makridakis, S., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting: Methods and applications (3rd ed.). Wiley.
  • Nkoro, E., & Uko, A. (2016). Autoregressive distributed lag (ARDL) cointegration technique: Application and interpretation. Journal of Statistical and Econometric Methods, 5(4), 63-91.
  • Sari, D., & Kumara, I. (2020). The effect of exchange rate volatility on the performance of the Indonesian Islamic stock market. Journal of Islamic Finance, 9(1), 37-50. https://doi.org/10.1108/JIF-03-2020-0010
  • Özbilgin, H. M. (2015). A review on the relationship between real exchange rate, productivity, and growth. Central Bank Review, 15(May 15), 61–77.
  • Phylaktis, K., & Ravazzolo, F. (2005). Stock prices and exchange rate dynamics. Journal of International Money and Finance, 24(7), 1031–1053. https://doi.org/10.1016/j.jimonfin.2005.08.001
  • Pesaran, M. H., & Pesaran, B. (1997). Working with microfit 4.0: Interactive econometric analysis. Oxford University Press.
  • Pesaran, M. H., & Shin, Y. (1999). An autoregressive distributed lag modeling approach to cointegration analysis. In Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium (pp. 371-413). Cambridge University Press. https://doi.org/10.1017/CCOL0521633230.011
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616
  • Sharpe, J. (2012). Foreign exchange: The complete deal. Hampshire: CPI Group (UK) Ltd.
  • Shidiqie, R., & El-Hasanah, N. (2020). Sensitivity of Indonesian Islamic stock prices to macroeconomic variables: An asymmetric approach. International Journal of Islamic Finance, 12(2), 151-168. https://doi.org/10.1108/IJIF-12-2020-0080
  • Zreg, M. (2022). Estimation and prediction of the dynamic relationship between the Dow Jones Islamic Market Index of Turkey and exchange rate. Journal of Advanced Economic Research, 07(2), 394–413. https://doi.org/10.38170/1993-007-002-024
  • Zouaoui, H., & Al-Naas, M. (2020). Enhancing international diversification portfolios using ant colony algorithms: The case of Dow Jones Islamic indexes. Journal of Economic Studies, 11(1), 1–27

Döviz Kuru Değişiklikleri ile İslami Hisse Performansı Arasındaki İlişkinin Tahmini ve Öngörüsü: Türkiye Dow Jones İslami Endeksi Üzerine Bir Vaka Çalışması

Year 2025, Volume: 11 Issue: 2, 326 - 352, 30.09.2025
https://doi.org/10.54427/ijisef.1574635

Abstract

Bu çalışma, 1 Ocak 2020 ile 17 Mayıs 2024 dönemi arasında döviz kuru dalgalanmaları ile Türk Dow Jones İslami Endeksi’nin performansı arasındaki ilişkiyi haftalık veriler kullanarak ayrıntılı biçimde tahmin etmeyi ve öngörmeyi amaçlamaktadır. Çalışmada, ekonomik değişkenler arasındaki dinamik ilişkileri incelemede etkili ekonometrik yaklaşımlardan biri olarak kabul edilen Otoregresif Dağıtılmış Gecikme (ARDL) modeli kullanılmıştır. Bulgular, döviz kuru dalgalanmaları ile Türk Dow Jones İslami Endeksi’nin performansı arasında uzun dönemli bir ilişkinin varlığını ortaya koymuş ve bu durum, endekse dahil edilen İslami hisse senetlerinin getirilerinde açıkça yansımıştır.
Ayrıca sonuçlar, döviz kuru değişimlerinin hem kısa vadede hem de uzun vadede endeks üzerinde pozitif ve doğrudan bir etkiye sahip olduğunu göstermiş, bu da finansal piyasalar ile döviz piyasaları arasındaki güçlü etkileşimsel doğayı yansıtmaktadır. Kullanılan veriler, örnek içi tahminlerde (in-sample predictions) yüksek doğruluk sağlamış ve seçilen modelin uygunluğunu ile açıklama gücünün sağlamlığını kesin olarak teyit etmiştir.
Elde edilen bulgular doğrultusunda, politika yapıcılar daha bilinçli ve etkin para ve maliye politikası kararları geliştirebilir ve İslami piyasalara ulusal ekonomik politikalarla uyumlu şekilde müdahale etmenin en uygun zamanlamasını belirleyebilirler. Benzer şekilde, bu sonuçlar yatırımcılara ve portföy yöneticilerine, döviz kuru risklerine karşı korunma, portföy çeşitlendirmesinin etkinliğini artırma ve döviz piyasalarının yakından izlenmesi yoluyla gelecekteki hisse senedi piyasası hareketlerini daha sağlıklı biçimde öngörme konularında pratik araçlar sunmaktadır.

Project Number

1

References

  • Al-Jilani, A. (2015). Exchange rate systems and their relationship with floating. Journal of Organization and Labor, 4(3), 5–16.
  • Bessebaa, A., & Benshisha, K. (2020). Analyzing the impact of exchange rate volatility on the performance of Islamic stock indices: An empirical study of the Dow Jones Islamic Market Index. Journal of Economic Studies, 47(3), 645-662. https://doi.org/10.1108/JES-02-2020-0023
  • Bessebaa, A. (2019). The impact of macroeconomic variables on the performance of Islamic stock markets: A case study of the FTSE Islamic Index of the Malaysian Stock Exchange. International Journal of Finance & Economics, 24(4), 1398-1410. https://doi.org/10.1002/ijfe.1747
  • Ahsan, A., & Miah, M. (2021). Exchange rate volatility and stock prices in GCC markets: Evidence from a GARCH model. Journal of Islamic Economics, 12(2), 215-230. https://doi.org/10.1108/JIE-04-2021-0010
  • Al-Najjar, H. (2005). Mechanism of Building Islamic Stock Market Indices and Its Requirements. In Islamic Financial Institutions: Current Reality and Future Prospects (Vol. 1, pp.1-24). Dubai: United Arab Emirates University.
  • Bashir, A., Khan, A., & Mehmood, M. (2022). The impact of exchange rate depreciation on Turkish Islamic stock market: A dynamic conditional correlation approach. International Review of Economics & Finance, 78, 85-95. https://doi.org/10.1016/j.iref.2022.02.001
  • Biryati, H., & Zidan, M. (2016). Exchange rate system options and their impact on the economies of countries: A case study of Arab countries. Algerian Journal of Economics and Management, 10(2), 33–62.
  • Daouaba, A. (2008). Investment and speculation in stocks and bonds from an Islamic perspective (1st ed.). Cairo: Dar Al-Salam.
  • Daouaba, A. (2021). Islamic financial markets. Istanbul: Dar Al-Mudarris.
  • Dewanti, L. A., Halim, A., & Idris, A. (2021). Sensitivity of Islamic stock returns in Asia: The impact of exchange rate volatility. Asian Economic and Financial Review, 11(6), 704-721.
  • Dornbusch, R., & Fischer, S. (1980). Exchange rates and the current account. The American Economic Review, 70(5), 960–971.
  • Erdoğan, S., Gedikli, A., & Çevik, E. İ. (2020). Volatility spillover effects between Islamic stock markets and exchange rates: Evidence from three emerging countries. Borsa Istanbul Review, 20(4), 322–333. https://doi.org/10.1016/j.bir.2020.04.003
  • Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill Education. Investing.com. (2024). USD/TRY exchange rate. Dow Jones Islamic Market Turkey. https://www.investing.com
  • Javangwe, K. Z., & Takawira, O. (2022). Exchange rate movement and stock market performance: An application of the ARDL model. Cogent Economics and Finance, 10(1), 1–20. https://doi.org/10.1080/23322039.2022.2075520
  • Khaled, M., & Yousuf, A. (2019). The relationship between exchange rates and Islamic stock prices in Malaysia: A VAR approach. Journal of Financial Research, 42(3), 741-755. https://doi.org/10.1111/jfir.12204
  • Khan, M. I., & Khan, A. (2018). Testing the long-run relationship between stock prices and exchange rates: Evidence from Pakistan. Journal of Economics and Sustainable Development, 9(2), 1-10. https://doi.org/10.7176/JESD
  • Makridakis, S., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting: Methods and applications (3rd ed.). Wiley.
  • Nkoro, E., & Uko, A. (2016). Autoregressive distributed lag (ARDL) cointegration technique: Application and interpretation. Journal of Statistical and Econometric Methods, 5(4), 63-91.
  • Sari, D., & Kumara, I. (2020). The effect of exchange rate volatility on the performance of the Indonesian Islamic stock market. Journal of Islamic Finance, 9(1), 37-50. https://doi.org/10.1108/JIF-03-2020-0010
  • Özbilgin, H. M. (2015). A review on the relationship between real exchange rate, productivity, and growth. Central Bank Review, 15(May 15), 61–77.
  • Phylaktis, K., & Ravazzolo, F. (2005). Stock prices and exchange rate dynamics. Journal of International Money and Finance, 24(7), 1031–1053. https://doi.org/10.1016/j.jimonfin.2005.08.001
  • Pesaran, M. H., & Pesaran, B. (1997). Working with microfit 4.0: Interactive econometric analysis. Oxford University Press.
  • Pesaran, M. H., & Shin, Y. (1999). An autoregressive distributed lag modeling approach to cointegration analysis. In Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium (pp. 371-413). Cambridge University Press. https://doi.org/10.1017/CCOL0521633230.011
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616
  • Sharpe, J. (2012). Foreign exchange: The complete deal. Hampshire: CPI Group (UK) Ltd.
  • Shidiqie, R., & El-Hasanah, N. (2020). Sensitivity of Indonesian Islamic stock prices to macroeconomic variables: An asymmetric approach. International Journal of Islamic Finance, 12(2), 151-168. https://doi.org/10.1108/IJIF-12-2020-0080
  • Zreg, M. (2022). Estimation and prediction of the dynamic relationship between the Dow Jones Islamic Market Index of Turkey and exchange rate. Journal of Advanced Economic Research, 07(2), 394–413. https://doi.org/10.38170/1993-007-002-024
  • Zouaoui, H., & Al-Naas, M. (2020). Enhancing international diversification portfolios using ant colony algorithms: The case of Dow Jones Islamic indexes. Journal of Economic Studies, 11(1), 1–27
There are 28 citations in total.

Details

Primary Language English
Subjects Islamic Economy
Journal Section Research Article
Authors

Mohamed Mahmud Aboubaker Zreg 0009-0003-6940-7431

Eşref Devabe 0000-0003-2122-6618

Project Number 1
Early Pub Date September 29, 2025
Publication Date September 30, 2025
Submission Date October 28, 2024
Acceptance Date August 26, 2025
Published in Issue Year 2025 Volume: 11 Issue: 2

Cite

APA Zreg, M. M. A., & Devabe, E. (2025). Estimation and Forecasting the Relationship Between Exchange Rate Changes and Islamic Stock Performance: A Case Study of The Turkish Dow Jones Islamic Index. Uluslararası İslam Ekonomisi Ve Finansı Araştırmaları Dergisi, 11(2), 326-352. https://doi.org/10.54427/ijisef.1574635

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