Araştırma Makalesi

Volatility and International Interactions in Financial Markets: An Analysis of the Turkish Stock Exchange and G7 Countries

Cilt: 38 Sayı: 2 22 Nisan 2024
PDF İndir
TR EN

Volatility and International Interactions in Financial Markets: An Analysis of the Turkish Stock Exchange and G7 Countries

Abstract

Using mean and variance causality analysis, this study examines the volatility relationship between Turkish and G7 stock markets. Weekly return data from May 29, 2009, to June 6, 2023, is utilized for the analysis. The Hong mean and variance causality analysis method is employed as the methodology. Based on the results of the study, Turkey and Japan's stock markets have a significant mean causality relationship. Moreover, the variance causality analysis demonstrates a strong relationship between Turkey and stock markets of Canada, France, Germany, Japan, and the United States. The findings contribute to portfolio diversification strategies and highlight the importance of understanding the dynamics of international financial markets.

Keywords

Hong Causality , Mean and Variance Causality , Stock Exchange , G7 Countries , BIST

Kaynakça

  1. An, L., & Brown, D. (2010). Equity Market Integration Between The US and BRIC Countries: Evidence from Unit Root and Cointegration Test. Research Journal of International Studies (16), 15-24.
  2. Aladesanmi, O. (2020). “Modelling Spillover Effects between the UK and the US Stock Markets Over The Period 1935–2020”. Investment Analysts Journal, 49(2):132–148.
  3. Ayaydın, H., Barut, A., & Pala., F. (2020). Long-Term Relationship Between G-7 Country's Stock Markets and Bist100: Fourier Approach. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(1), 24-34.
  4. Başar, S. & Bozma, G. (2018). “Analyzing Volatility Transmissions Between Stock Markets of Turkey, Romanıa, Poland, Hungary and Ukraine Using M-GARCH Model”. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 36(4): 1-16.
  5. Bayramoğlu, M. F., & Başarır, Ç. (2019). International Diversified Portfolio Optimization With Artificial Neural Networks: An Application With Foreign Companies Listed on NYSE. In Machine Learning Techniques for Improved Business Analytics, 201-223, IGI Global.
  6. Bhar, R., & Nikolova, B. (2007). Analysis of mean and volatility spillovers using BRIC countries, regional and world equity index returns. Journal of Economic Integration, 369-381.
  7. Chang, T., & Tzeng, H.-W. (2009). International Equity Diversification between the United States and its Major Trading Partners: Nonparametric Cointegration Test. International Research Journal of Finance and Economics(32), 139-147.
  8. Cheung, Y. W., & Ng, L. K. (1996). A causality-in-variance test and its application to financial market prices. Journal of econometricS, 72(1-2), 33-48.
  9. Chittedi, K. R. (2009). Global stock markets development and integration: With special reference to BRIC countries. International Review of Applied Financial Issues and Economics, 1, 18-36.
  10. Dasgupta, R. (2013). BRIC and US Integration and Dynamic Linkages an Empirical Study for International Diversification Strategy. Interdisciplinary Journal of Contemporary Research in Business, 5(7), 536-563.

Kaynak Göster

APA
Olgun, S., & Polat, M. (2024). Volatility and International Interactions in Financial Markets: An Analysis of the Turkish Stock Exchange and G7 Countries. Trends in Business and Economics, 38(2), 102-112. https://doi.org/10.16951/trendbusecon.1468689