Araştırma Makalesi
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Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım

Yıl 2026, Sayı: 88, 444 - 466, 29.01.2026

Öz

Finansal piyasalarda artan belirsizlik ve makroekonomik dalgalanmalar yatırımcı davranışlarını karmaşık hale getirmektedir. Çalışmanın amacı, Türkiye’ye özgü ekonomik belirsizlik endeksi, sanayi üretimi, politika faizi, döviz kuru getirisi ve BİST-100 volatilitesi arasındaki ilişkiyi 01.01.2013 ile 31.12.2024 dönemini içeren aylık veriler üzerinden kayan, genişleyen ve daralan pencere analizi yöntemi kullanarak araştırmaktır. Bu yönüyle çalışma BİST-100 volatilitesinin dinamiklerini açıklamaya yönelik literatürdeki modellerden yöntemsel olarak önemli ölçüde ayrışmaktadır. Geleneksel modeller genellikle durağan parametre varsayımı altında tek bir tahmin süreci yürütürken, bu çalışmada kayan, genişleyen ve daralan pencere yaklaşımları birlikte kullanılarak zamanla değişen ilişkiler evrimsel biçimde izlenmiştir. Böylece, volatilite ile makroekonomik değişkenler arasındaki bağın farklı dönemlerde nasıl güçlendiği veya zayıfladığı dinamik olarak ortaya konmuştur. Çalışma hem yöntemsel hem de ampirik açıdan finansal piyasa volatilitesinin evrimsel analizine özgün bir katkı sunmaktadır. Elde edilen sonuçlara göre, ekonomik belirsizlik, sanayi üretimi, faiz oranı ve döviz kuru getirilerinin BİST-100 volatilitesi üzerindeki etkilerinin zamana ve politika rejimlerine bağlı olarak yön ve büyüklük açısından değiştiği görülmüştür.

Kaynakça

  • Abugri, B. A. (2008). Empirical relationship between macroeconomic volatility and stock returns: Evidence from Latin American markets. International Review of Financial Analysis, 17(2), 396-410.
  • Aizenman, J. ve Marion, N. (1991). Policy uncertainty, persistence and growth. Review of International Economics, 1(2), 145–163.
  • Al Rababa’a, A. R., Alomari, M., Rehman, M. U., McMillan, D. ve Hendawi, R. (2022). Multiscale relationship between economic policy uncertainty and sectoral returns: Implications for portfolio management. Research in International Business and Finance, 61, 101664.
  • Al-Thaqeb, S. A. ve Algharabali, B. G. (2019). Economic policy uncertainty: A literature review. The Journal of Economic Asymmetries, 20, e00133.
  • Antonakakis, N., Chatziantoniou, I. ve Filis, G. (2013). Dynamic co-movements of stock market returns, implied volatility and policy uncertainty. Economics Letters, 120(1), 87-92.
  • Arouri, M., Estay, C., Rault, C. ve Roubaud, D. (2016). Economic policy uncertainty and stock markets: Long-run evidence from the US. Finance Research Letters, 18, 136-141.
  • Balcilar, M., Gupta, R., Kim, W. J. ve Kyei, C. (2019). The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea. International Review of Economics and Finance, 59, 150-163.
  • Bernanke, B. S. (1983). Irreversibility, uncertainty, and cyclical investment. The Quarterly Journal of Economics, 98(1), 85-106.
  • Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623-685.
  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
  • Brogaard, J. ve Detzel, A. (2015). The asset-pricing implications of government economic policy uncertainty. Management Science, 61(1), 3-18.
  • Chang, B. H., Meo, M. S., Syed, Q. R. ve Abro, Z. (2019). Dynamic analysis of the relationship between stock prices and macroeconomic variables: An empirical study of Pakistan stock exchange. South Asian Journal of Business Studies, 8(3), 229-245.
  • Chiang, T. C. (2019). Economic policy uncertainty, risk and stock returns: Evidence from G7 stock markets. Finance Research Letters, 29, 41-49.
  • Christou, C., Cunado, J., Gupta, R. ve Hassapis, C. (2017). Economic policy uncertainty and stock market returns in PacificRim countries: Evidence based on a Bayesian panel VAR model. Journal of Multinational Financial Management, 40, 92-102.
  • Corradi, V., Distaso, W. ve Mele, A. (2013). Macroeconomic determinants of stock volatility and volatility premiums. Journal of Monetary Economics, 60(2), 203-220.
  • Dakhlaoui, I. ve Aloui, C. (2016). The interactive relationship between the US economic policy uncertainty and BRIC stock markets. International Economics, 146, 141-157.
  • Dickey, D. A. ve Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072.
  • Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007.
  • Ersin, Ö. Ö. ve Bildirici, M. (2023). Financial volatility modeling with the GARCH-MIDAS-LSTM approach: The effects of economic expectations, geopolitical risks and industrial production during COVID-19. Mathematics, 11(8), 1785.
  • Fama, E. F. (1990). Stock returns, expected returns, and real activity. The Journal of Finance, 45(4), 1089-1108.
  • Granger, C. W. J. ve Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), 111 – 120.
  • Guo, P., Zhu, H. ve You, W. (2018). Asymmetric dependence between economic policy uncertainty and stock market returns in G7 and BRIC: A quantile regression approach. Finance Research Letters, 25, 251-258.
  • Güngör, A. ve Güngör, M.S. (2024). The nexus between economic policy uncertainty and stock market volatility in the CEE-3 countries. South East European Journal of Economics and Business, 19(2), 60-81.
  • He, F., Wang, Z. ve Yin, L. (2020). Asymmetric volatility spillovers between international economic policy uncertainty and the U.S. stock market. The North American Journal of Economics and Finance, 51, 101084.
  • Hu, Z., Kutan, A. M. ve Sun, P. W. (2018). Is US economic policy uncertainty priced in China's A-shares market? Evidence from market, industry, and individual stocks. International Review of Financial Analysis, 57, 207-220.
  • Huang, W. Q. ve Liu, P. (2022). Asymmetric effects of economic policy uncertainty on stock returns under different market conditions: Evidence from G7 stock markets. Applied Economics Letters, 29(9), 780-784.
  • Karanasos, M., Yfanti, S. ve Hunter, J. (2021). Emerging stock market volatility and economic fundamentals: The importance of US uncertainty spillovers, financial and health crises. Annals of Operations Research, 313, 1077- 1116.
  • King, M. A., Sentana, E. ve Wadhwani, S. (1994). Volatiltiy and links between national stock markets. Econometrica, 62(4), 901-933.
  • Kwiatkowski, D., Phillips, P. C. B., Schmidt, P. ve Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1–3), 159-178.
  • Li, D., Zhang, L. ve Li, L. (2023). Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model. International Review of Financial Analysis, 88, 102708.
  • Li, X. L., Balcilar, M., Gupta, R. ve Chang, T. (2016). The causal relationship between economic policy uncertainty and stock returns in China and India: Evidence from a bootstrap rolling window approach. Emerging Markets Finance and Trade, 52(3), 674-689.
  • Li, X. M. ve Peng, L. (2017). US economic policy uncertainty and co-movements between Chinese and US stock markets. Economic Modelling, 61, 27-39.
  • Li, Z. ve Zhong, J. (2020). Impact of economic policy uncertainty shocks on China's financial conditions. Finance Research Letters, 35, 101303.
  • Liang, C. C., Troy, C. ve Rouyer, E. (2020). US uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model. The North American Journal of Economics and Finance, 51, 101046.
  • Liu, L. ve Zhang, T. (2015). Economic policy uncertainty and stock market volatility. Finance Research Letters, 15, 99-105.
  • Liu, Z., Ye, Y., Ma, F. ve Liu, J. (2017). Can economic policy uncertainty help to forecast the volatility: A multifractal perspective. Physica A: Statistical Mechanics and Its Applications, 482, 181-188.
  • Ma, Y., Wang, Z. ve He, F. (2022). How do economic policy uncertainties affect stock market volatility? Evidence from G7 countries. International Journal of Finance and Economics, 27(2), 2303-2325.
  • Marcus, A. A. (1981). Policy uncertainty and technological innovation. Academy of Management Review, 6(3), 443-448.
  • Mei, D., Zeng, Q., Zhang, Y. ve Hou, W. (2018). Does US Economic Policy Uncertainty matter for European stock markets volatility?. Physica A: Statistical Mechanics and Its Applications, 512, 215-221.
  • Minsky, H. P. (1992). The financial instability hypothesis (No. 74). Working paper.
  • Msomi, S. ve Kunjal, D. (2024). Industry-specific effects of economic policy uncertainty on stock market volatility: A GARCH-MIDAS approach. Quantitative Finance and Economics, 8(3), 532-545.
  • Muzaffar, Z. ve Malik, I. R. (2024). Market liquidity and volatility: Does economic policy uncertainty matter? Evidence from Asian emerging economies. Plos one, 19(6), e0301597.
  • Pastor, L. ve Veronesi, P. (2012). Uncertainty about government policy and stock prices. The Journal of Finance, 67(4), 1219-1264.
  • Phan, D. H. B., Sharma, S. S. ve Tran, V. T. (2018). Can economic policy uncertainty predict stock returns? Global evidence. Journal of International Financial Markets, Institutions and Money, 55, 134-150.
  • Phillips, P. C. B. ve Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.
  • Raza, S. A., Zaighum, I. ve Shah, N. (2018). Economic policy uncertainty, equity premium and dependence between their quantiles: Evidence from quantile-on-quantile approach. Physica A: Statistical Mechanics and Its Applications, 492, 2079-2091.
  • Rodrik, D. (1991). Policy uncertainty and private investment in developing countries. Journal of Development Economics, 36(2), 229–242.
  • Schwert, G. W. (1989). Why does stock market volatility change over time?. The Journal of Finance, 44(5), 1115-1153.
  • Shaikh, I. (2020). Does policy uncertainty affect equity, commodity, interest rates, and currency markets? Evidence from CBOE's volatility index. Journal of Business Economics and Management (JBEM), 21(5), 1350-1374.
  • Shi, Y. ve Wang, L. (2023). Comparing the impact of Chinese and US economic policy uncertainty on the volatility of major global stock markets. Global Finance Journal, 57, 100860.
  • Smales, L. (2020). Examining the relationship between policy uncertainty and market uncertainty across the G7. International Review of Financial Analysis, 71, 101540.
  • Song, Y., Tang, X., Wang, H. ve Ma, Z. (2023). Volatility forecasting for stock market incorporating macroeconomic variables based on GARCH‐MIDAS and deep learning models. Journal of Forecasting, 42(1), 51-59.
  • Su, Z., Fang, T. ve Yin, L. (2019). Understanding stock market volatility: What is the role of US uncertainty?. The North American Journal of Economics and Finance, 48, 582-590.
  • Su, X. ve Liu, Z. (2021). Sector volatility spillover and economic policy uncertainty: Evidence from China’s stock market. Mathematics, 9(12), 1411.
  • Şencan, İ. (2024). GEPU endeksinin borsa endeksleri volatilitesi üzerindeki etkisi: MIST ülkeleri üzerine bir çalışma. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17(4), 821-833.
  • Tsai, I. C. (2017). The source of global stock market risk: A viewpoint of economic policy uncertainty. Economic Modelling, 60, 122-131.
  • Türe, H. ve Akdi̇, Y. (2006). Mevsimsel eşbütünleşme: Tüketim ve GSYİH. İktisat, İşletme ve Finans, 21(242), 101-113.
  • Walid, C., Chaker, A., Masood, O. ve Fry, J. (2011). Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach. Emerging Markets Review, 12(3), 272-292.
  • Wang, Z., Li, Y. ve He, F. (2020). Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China. Research in International Business and Finance, 53, 101233.
  • Xiong, X., Bian, Y. ve Shen, D. (2018). The time-varying correlation between policy uncertainty and stock returns: Evidence from China. Physica A: Statistical Mechanics and Its Applications, 499, 413-419.
  • Xu, Y., Wang, J., Chen, Z. ve Liang, C. (2021). Economic policy uncertainty and stock market returns: New evidence. The North American Journal of Economics and Finance, 58, 101525.
  • You, W., Guo, Y., Zhu, H. ve Tang, Y. (2017). Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression. Energy Economics, 68, 1-18.
  • Yu, H., Fang, L. ve Sun, W. (2018). Forecasting performance of global economic policy uncertainty for volatility of Chinese stock market. Physica A: Statistical Mechanics and Its Applications, 505, 931-940.
  • Yu, M. ve Song, J. (2018). Volatility forecasting: Global economic policy uncertainty and regime switching. Physica A: Statistical Mechanics and Its Applications, 511, 316-323.
  • Zakaria, Z. ve Shamsuddin, S. (2012). Empirical evidence on the relationship between stock market volatility and macroeconomics volatility in Malaysia. Journal of Business Studies Quarterly, 4(2), 61.
  • Zivot, E. ve Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics, 10(3), 251-270.

The Impact of Interactions Among Economic Uncertainty, Real Sector, Exchange Rates and Interest Rates on Financial Markets: A Time-Varying Approach

Yıl 2026, Sayı: 88, 444 - 466, 29.01.2026

Öz

Increasing uncertainty in financial markets and macroeconomic fluctuations complicate investor behavior. The aim of this study is to investigate the relationship between Türkiye’s economic uncertainty index, industrial production, policy interest rate, foreign exchange rate return, and BIST-100 volatility using monthly data covering the period from January 1, 2013 to December 31, 2024, using a rolling, expanding, and narrowing window analysis method. In this respect, the study differs significantly from the models in the literature explaining the dynamics of BIST-100 volatility. While traditional models typically run a single forecasting process under the assumption of stationary parameters, this study uses rolling, expanding, and narrowing window approaches together to trace evolving relationships over time. Thus, it dynamically reveals how the link between volatility and macroeconomic variables strengthened or weakened in different periods. The study makes a unique contribution to the evolutionary analysis of financial market volatility from both methodological and empirical perspectives. The results indicate that the effects of economic uncertainty, industrial production, interest rates, and exchange rate return on BIST-100 volatility change in terms of direction and magnitude depending on time and policy regimes.

Kaynakça

  • Abugri, B. A. (2008). Empirical relationship between macroeconomic volatility and stock returns: Evidence from Latin American markets. International Review of Financial Analysis, 17(2), 396-410.
  • Aizenman, J. ve Marion, N. (1991). Policy uncertainty, persistence and growth. Review of International Economics, 1(2), 145–163.
  • Al Rababa’a, A. R., Alomari, M., Rehman, M. U., McMillan, D. ve Hendawi, R. (2022). Multiscale relationship between economic policy uncertainty and sectoral returns: Implications for portfolio management. Research in International Business and Finance, 61, 101664.
  • Al-Thaqeb, S. A. ve Algharabali, B. G. (2019). Economic policy uncertainty: A literature review. The Journal of Economic Asymmetries, 20, e00133.
  • Antonakakis, N., Chatziantoniou, I. ve Filis, G. (2013). Dynamic co-movements of stock market returns, implied volatility and policy uncertainty. Economics Letters, 120(1), 87-92.
  • Arouri, M., Estay, C., Rault, C. ve Roubaud, D. (2016). Economic policy uncertainty and stock markets: Long-run evidence from the US. Finance Research Letters, 18, 136-141.
  • Balcilar, M., Gupta, R., Kim, W. J. ve Kyei, C. (2019). The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea. International Review of Economics and Finance, 59, 150-163.
  • Bernanke, B. S. (1983). Irreversibility, uncertainty, and cyclical investment. The Quarterly Journal of Economics, 98(1), 85-106.
  • Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623-685.
  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
  • Brogaard, J. ve Detzel, A. (2015). The asset-pricing implications of government economic policy uncertainty. Management Science, 61(1), 3-18.
  • Chang, B. H., Meo, M. S., Syed, Q. R. ve Abro, Z. (2019). Dynamic analysis of the relationship between stock prices and macroeconomic variables: An empirical study of Pakistan stock exchange. South Asian Journal of Business Studies, 8(3), 229-245.
  • Chiang, T. C. (2019). Economic policy uncertainty, risk and stock returns: Evidence from G7 stock markets. Finance Research Letters, 29, 41-49.
  • Christou, C., Cunado, J., Gupta, R. ve Hassapis, C. (2017). Economic policy uncertainty and stock market returns in PacificRim countries: Evidence based on a Bayesian panel VAR model. Journal of Multinational Financial Management, 40, 92-102.
  • Corradi, V., Distaso, W. ve Mele, A. (2013). Macroeconomic determinants of stock volatility and volatility premiums. Journal of Monetary Economics, 60(2), 203-220.
  • Dakhlaoui, I. ve Aloui, C. (2016). The interactive relationship between the US economic policy uncertainty and BRIC stock markets. International Economics, 146, 141-157.
  • Dickey, D. A. ve Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072.
  • Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007.
  • Ersin, Ö. Ö. ve Bildirici, M. (2023). Financial volatility modeling with the GARCH-MIDAS-LSTM approach: The effects of economic expectations, geopolitical risks and industrial production during COVID-19. Mathematics, 11(8), 1785.
  • Fama, E. F. (1990). Stock returns, expected returns, and real activity. The Journal of Finance, 45(4), 1089-1108.
  • Granger, C. W. J. ve Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), 111 – 120.
  • Guo, P., Zhu, H. ve You, W. (2018). Asymmetric dependence between economic policy uncertainty and stock market returns in G7 and BRIC: A quantile regression approach. Finance Research Letters, 25, 251-258.
  • Güngör, A. ve Güngör, M.S. (2024). The nexus between economic policy uncertainty and stock market volatility in the CEE-3 countries. South East European Journal of Economics and Business, 19(2), 60-81.
  • He, F., Wang, Z. ve Yin, L. (2020). Asymmetric volatility spillovers between international economic policy uncertainty and the U.S. stock market. The North American Journal of Economics and Finance, 51, 101084.
  • Hu, Z., Kutan, A. M. ve Sun, P. W. (2018). Is US economic policy uncertainty priced in China's A-shares market? Evidence from market, industry, and individual stocks. International Review of Financial Analysis, 57, 207-220.
  • Huang, W. Q. ve Liu, P. (2022). Asymmetric effects of economic policy uncertainty on stock returns under different market conditions: Evidence from G7 stock markets. Applied Economics Letters, 29(9), 780-784.
  • Karanasos, M., Yfanti, S. ve Hunter, J. (2021). Emerging stock market volatility and economic fundamentals: The importance of US uncertainty spillovers, financial and health crises. Annals of Operations Research, 313, 1077- 1116.
  • King, M. A., Sentana, E. ve Wadhwani, S. (1994). Volatiltiy and links between national stock markets. Econometrica, 62(4), 901-933.
  • Kwiatkowski, D., Phillips, P. C. B., Schmidt, P. ve Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1–3), 159-178.
  • Li, D., Zhang, L. ve Li, L. (2023). Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model. International Review of Financial Analysis, 88, 102708.
  • Li, X. L., Balcilar, M., Gupta, R. ve Chang, T. (2016). The causal relationship between economic policy uncertainty and stock returns in China and India: Evidence from a bootstrap rolling window approach. Emerging Markets Finance and Trade, 52(3), 674-689.
  • Li, X. M. ve Peng, L. (2017). US economic policy uncertainty and co-movements between Chinese and US stock markets. Economic Modelling, 61, 27-39.
  • Li, Z. ve Zhong, J. (2020). Impact of economic policy uncertainty shocks on China's financial conditions. Finance Research Letters, 35, 101303.
  • Liang, C. C., Troy, C. ve Rouyer, E. (2020). US uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model. The North American Journal of Economics and Finance, 51, 101046.
  • Liu, L. ve Zhang, T. (2015). Economic policy uncertainty and stock market volatility. Finance Research Letters, 15, 99-105.
  • Liu, Z., Ye, Y., Ma, F. ve Liu, J. (2017). Can economic policy uncertainty help to forecast the volatility: A multifractal perspective. Physica A: Statistical Mechanics and Its Applications, 482, 181-188.
  • Ma, Y., Wang, Z. ve He, F. (2022). How do economic policy uncertainties affect stock market volatility? Evidence from G7 countries. International Journal of Finance and Economics, 27(2), 2303-2325.
  • Marcus, A. A. (1981). Policy uncertainty and technological innovation. Academy of Management Review, 6(3), 443-448.
  • Mei, D., Zeng, Q., Zhang, Y. ve Hou, W. (2018). Does US Economic Policy Uncertainty matter for European stock markets volatility?. Physica A: Statistical Mechanics and Its Applications, 512, 215-221.
  • Minsky, H. P. (1992). The financial instability hypothesis (No. 74). Working paper.
  • Msomi, S. ve Kunjal, D. (2024). Industry-specific effects of economic policy uncertainty on stock market volatility: A GARCH-MIDAS approach. Quantitative Finance and Economics, 8(3), 532-545.
  • Muzaffar, Z. ve Malik, I. R. (2024). Market liquidity and volatility: Does economic policy uncertainty matter? Evidence from Asian emerging economies. Plos one, 19(6), e0301597.
  • Pastor, L. ve Veronesi, P. (2012). Uncertainty about government policy and stock prices. The Journal of Finance, 67(4), 1219-1264.
  • Phan, D. H. B., Sharma, S. S. ve Tran, V. T. (2018). Can economic policy uncertainty predict stock returns? Global evidence. Journal of International Financial Markets, Institutions and Money, 55, 134-150.
  • Phillips, P. C. B. ve Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.
  • Raza, S. A., Zaighum, I. ve Shah, N. (2018). Economic policy uncertainty, equity premium and dependence between their quantiles: Evidence from quantile-on-quantile approach. Physica A: Statistical Mechanics and Its Applications, 492, 2079-2091.
  • Rodrik, D. (1991). Policy uncertainty and private investment in developing countries. Journal of Development Economics, 36(2), 229–242.
  • Schwert, G. W. (1989). Why does stock market volatility change over time?. The Journal of Finance, 44(5), 1115-1153.
  • Shaikh, I. (2020). Does policy uncertainty affect equity, commodity, interest rates, and currency markets? Evidence from CBOE's volatility index. Journal of Business Economics and Management (JBEM), 21(5), 1350-1374.
  • Shi, Y. ve Wang, L. (2023). Comparing the impact of Chinese and US economic policy uncertainty on the volatility of major global stock markets. Global Finance Journal, 57, 100860.
  • Smales, L. (2020). Examining the relationship between policy uncertainty and market uncertainty across the G7. International Review of Financial Analysis, 71, 101540.
  • Song, Y., Tang, X., Wang, H. ve Ma, Z. (2023). Volatility forecasting for stock market incorporating macroeconomic variables based on GARCH‐MIDAS and deep learning models. Journal of Forecasting, 42(1), 51-59.
  • Su, Z., Fang, T. ve Yin, L. (2019). Understanding stock market volatility: What is the role of US uncertainty?. The North American Journal of Economics and Finance, 48, 582-590.
  • Su, X. ve Liu, Z. (2021). Sector volatility spillover and economic policy uncertainty: Evidence from China’s stock market. Mathematics, 9(12), 1411.
  • Şencan, İ. (2024). GEPU endeksinin borsa endeksleri volatilitesi üzerindeki etkisi: MIST ülkeleri üzerine bir çalışma. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17(4), 821-833.
  • Tsai, I. C. (2017). The source of global stock market risk: A viewpoint of economic policy uncertainty. Economic Modelling, 60, 122-131.
  • Türe, H. ve Akdi̇, Y. (2006). Mevsimsel eşbütünleşme: Tüketim ve GSYİH. İktisat, İşletme ve Finans, 21(242), 101-113.
  • Walid, C., Chaker, A., Masood, O. ve Fry, J. (2011). Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach. Emerging Markets Review, 12(3), 272-292.
  • Wang, Z., Li, Y. ve He, F. (2020). Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China. Research in International Business and Finance, 53, 101233.
  • Xiong, X., Bian, Y. ve Shen, D. (2018). The time-varying correlation between policy uncertainty and stock returns: Evidence from China. Physica A: Statistical Mechanics and Its Applications, 499, 413-419.
  • Xu, Y., Wang, J., Chen, Z. ve Liang, C. (2021). Economic policy uncertainty and stock market returns: New evidence. The North American Journal of Economics and Finance, 58, 101525.
  • You, W., Guo, Y., Zhu, H. ve Tang, Y. (2017). Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression. Energy Economics, 68, 1-18.
  • Yu, H., Fang, L. ve Sun, W. (2018). Forecasting performance of global economic policy uncertainty for volatility of Chinese stock market. Physica A: Statistical Mechanics and Its Applications, 505, 931-940.
  • Yu, M. ve Song, J. (2018). Volatility forecasting: Global economic policy uncertainty and regime switching. Physica A: Statistical Mechanics and Its Applications, 511, 316-323.
  • Zakaria, Z. ve Shamsuddin, S. (2012). Empirical evidence on the relationship between stock market volatility and macroeconomics volatility in Malaysia. Journal of Business Studies Quarterly, 4(2), 61.
  • Zivot, E. ve Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics, 10(3), 251-270.
Toplam 66 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Finans
Bölüm Araştırma Makalesi
Yazarlar

Bade Ekim Kocaman 0000-0002-8967-3935

Gönderilme Tarihi 1 Kasım 2025
Kabul Tarihi 27 Ocak 2026
Yayımlanma Tarihi 29 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Sayı: 88

Kaynak Göster

APA Ekim Kocaman, B. (2026). Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi(88), 444-466.
AMA Ekim Kocaman B. Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. Ocak 2026;(88):444-466.
Chicago Ekim Kocaman, Bade. “Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, sy. 88 (Ocak 2026): 444-66.
EndNote Ekim Kocaman B (01 Ocak 2026) Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 88 444–466.
IEEE B. Ekim Kocaman, “Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım”, Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, sy. 88, ss. 444–466, Ocak2026.
ISNAD Ekim Kocaman, Bade. “Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 88 (Ocak2026), 444-466.
JAMA Ekim Kocaman B. Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2026;:444–466.
MLA Ekim Kocaman, Bade. “Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, sy. 88, 2026, ss. 444-66.
Vancouver Ekim Kocaman B. Ekonomik Belirsizlik, Reel Sektör, Döviz ve Faiz Etkileşimlerinin Finansal Piyasalara Yansıması: Zamanla Değişen Yaklaşım. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2026(88):444-66.

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