Research Article
BibTex RIS Cite

KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ)

Year 2024, Volume: 46 Issue: 2, 355 - 379, 24.10.2024
https://doi.org/10.14780/muiibd.1412703

Abstract

Ekonomik politika belirsizliği ve politik riskin bir çok makroekonomik değişken üzerinde etkileri söz konusudur. Bu değişkenlerin en önemlilerinden biri doğrudan yabancı yatırımlardır. Yabancı yatırımcılar, politika belirsizliğinin yüksek olduğu ekonomilere yatırım yapmaktan kaçınarak, yatırımlarını siyasi istikrarın olduğu ve ekonomide belirsizliğin olmadığı ekonomilere yönlendirmek istemektedirler. Bu çalışma, ekonomi politikası belirsizliğinin finansal piyasalar üzerindeki etkisini derinlemesine incelemiş ve kompleks ilişkileri aydınlatmıştır. Bulgular, ekonomi politikası belirsizliğinin borsa endeksi, tahvil faiz oranları, politika faiz oranları ve döviz kurları arasında uzun vadede kointegre ilişkilerinin mevcudiyetine işaret etmektedir. Ekonomi politikası belirsizliğindeki artışlar, borsa endeksini ve faiz oranlarını negatif bir şekilde etkileyerek düşüşe sebep olmaktadır, aksine döviz kurlarını ise artıran bir etkisi bulunmaktadır. Ekonomi politikası belirsizliğinin tüm bu finansal göstergeler arasından en çok politika faiz oranları üzerinde olumsuz yönde etkili olduğu da araştırmanın bir diğer bulgusu olarak yer almaktadır. Ayrıca, çalışmada ekonomi politikası belirsizliği ile diğer finansal göstergeler arasındaki nedensel ilişkilere de ilgi gösterilmiştir. Bu bağlamda, ekonomi politikası belirsizliği ve borsa endeksi ile ülkelerin döviz kurları arasında karşılıklı nedensel ilişkilerin gözlendiği saptanmıştır; ekonomi politikası belirsizliği ile politika faizi ve tahvil faizi arasında tek yönlü bir nedensel ilişki olduğu kaydedilmiştir. Bu sonuçlar, finansal modellemelerin daha hassas bir şekilde yapılandırılmasına katkı sağlamakta ve ekonomi politikası belirsizliğinin finansal piyasalar üzerindeki etkilerinin daha ayrıntılı bir şekilde anlaşılmasına yardımcı olmaktadır

References

  • Adebayo, T. S., Akadiri, S. S., & Rjoub, H. (2022). On the relationship between economic policy uncertainty, geopolitical risk and stock market returns in South Korea: a quantile causality analysis. Annals of Financial Economics, 17(01), 2250008.
  • Ahmed, M. Y., & Sarkodie, S. A. (2021). COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility. Resources policy, 74, 102303.
  • Altaylar, M., & Dursun, S. (2021). Türkiye’de İçsel Büyüme Modeline Kademeli Bir Bakış: Kantil Regresyon Yaklaşımı. Ekonomi Politika ve Finans Araştırmaları Dergisi, 6(IERFM Özel Sayısı), 225-246.
  • Al-Thaqeb, S. A., & Algharabali, B. G. (2019). Economic policy uncertainty: A literature review. The Journal of Economic Asymmetries, 20, e00133.
  • Apergis, N., & Payne, J. E. (2014). The causal dynamics between renewable energy, real gdp, emissions and oil prices: evidence from OECD countries. Applied Economics, 46(36), 4519-4525.
  • Attig, N., El Ghoul, S., Guedhami, O., & Zheng, X. (2021). Dividends and economic policy uncertainty: International evidence. Journal of Corporate Finance, 66, 101785.
  • Azazi, H. (2019). The effects of political risk and economic policy uncertainty on foreign direct investments: A panel cointegration analysis for selected EU countries. Girişimcilik ve Kalkınma Dergisi, 14(1), 87-100.
  • Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Chichester: Wiley.
  • Baltagi, B. H., & Pesaran, H. M. (2007). Heterogeneity and cross section dependence in panel data models: theory and applications introduction. Journal of Applied Econometrics, 22(2), 229-232.
  • Baltagi, B. H., Feng, Q., & Kao, C. (2012). A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164-177.
  • Bangake, C., & Eggoh, J. C. (2011). The Feldstein–Horioka puzzle in African countries: A panel cointegration analysis. Economic Modelling, 28(3), 939-947.
  • Barbieri, L. (2009). Panel unit root tests under cross-sectional dependence: An overview. Journal of Statistics: Advances in Theory and Applications, 1(2), 117-158.
  • Breitung, J., & Pesaran, M. H. (2008). Unit roots and cointegration in panels. In The econometrics of panel data: Fundamentals and recent developments in theory and practice (pp. 279-322). Berlin, Heidelberg: Springer Berlin Heidelberg.
  • Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Brogaard, J., andA. Detzel(2012). The Asset Pricing Implications of Government Economic Policy Uncertainty. University of Washington Foster School of Business Working Paper.
  • Chang, T., Chen, W. Y., Gupta, R., & Nguyen, D. K. (2015). Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test. Economic Systems, 39(2), 288-300.
  • Che, X., & Jiang, M. (2021). Economic policy uncertainty, financial expenditure and energy poverty: evidence based on a panel threshold model. Sustainability, 13(21), 11594.
  • Cho, H. C., & Ramirez, M. D. (2016). Foreign direct investment and income inequality in southeast Asia: a panel unit root and panel cointegration analysis, 1990–2013. Atlantic Economic Journal, 44, 411-424.
  • Christou, C., Cunado, J., Gupta, R., & 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.
  • Cihangir, Ç. K., & Koçoğlu, Ş. (2022). Oil Prices, Economic Policy Uncertainty and Stock Market Returns in Oil Importing Countries: The Impact of COVID-19 Pandemic. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 40(1), 144-163.
  • Çiğdem, G., & Altaylar, M. (2020). Cointegration Evidences From The New Fragile Five. Journal of Life Economics, 7(3), 269-282.
  • Çiğdem, G., & Altaylar, M. (2021). Nonlinear relationship between economic growth and tax revenue in Turkey: Hidden cointegration approach. İstanbul İktisat Dergisi, 71(1), 21-38.
  • Dai, M., Qamruzzaman, M., & Hamadelneel Adow, A. (2022). An assessment of the impact of natural resource price and global economic policy uncertainty on financial asset performance: Evidence from bitcoin. Frontiers in Environmental Science, 10, 897496.
  • Darıcı, B., Aydın, A., Ayhan, F., & Altaylar, M. (2023). Macroeconomic determinants of tourism demand toward emerging markets. İstanbul İktisat Dergisi, 73(2), 837-864.
  • 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.
  • Dritsaki, C., & Dritsaki, M. (2014). Causal relationship between energy consumption, economic growth and CO2 emissions: A dynamic panel data approach. International Journal of Energy Economics and Policy, 4(2), 125-136.
  • Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic modelling, 29(4), 1450-1460. Econometrics, 15, 93-130.
  • Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.
  • Gemici, E. (2020). Ekonomi Politikası Belirsizliği ile G7 Ülke Borsaları Arasındaki İlişki. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi (BUSBED), 10(20), 353-372.
  • Gökpınar, S. (2022). Covid-19 Pandemisinin ABD Ekonomisine Yansımaları ve Küresel Ekonomik Güçlükler. Bulletin of Economic Theory and Analysis, 7(1), 107-132. https://doi.org/10.25229/beta.1115611
  • Granger, C. W., & Newbold, P. (1974). Spurious regressions in econometrics. Journal of econometrics, 2(2), 111-120.
  • Guo, P., Zhu, H., & 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.
  • Güloglu, B., Tekin, R. B., & Saridogan, E. (2012). Economic determinants of technological progress in G7 countries: A re-examination. Economics Letters, 116(3), 604-608.
  • Güloğlu, B., & İspir, M. S. (2011). Doğal işsizlik oranı mı? İşsizlik histerisi mi? Türkiye için sektörel panel birim kök sınaması analizi. Ege Akademik Bakış, 11(2), 205-215.
  • Guloglu, B., & Bayar, G. (2016). Sectoral exports dynamics of Turkey: Evidence from panel data estimators. The Journal of International Trade & Economic Development, 25(7), 959-977.
  • Hadri, K., & Kurozumi, E. (2012). A simple panel stationarity test in the presence of serial correlation and a common factor. Economics Letters, 115(1), 31-34.
  • Haq, I. U., Ferreira, P., Quintino, D. D., Huynh, N., & Samantreeporn, S. (2023). Economic Policy Uncertainty, Energy and Sustainable Cryptocurrencies: Investigating Dynamic Connectedness during the COVID-19 Pandemic. Economies, 11(3), 76.
  • Haq, I. U., Ferreira, P., Quintino, D. D., Huynh, N., & Samantreeporn, S. (2023). Economic Policy Uncertainty, Energy and Sustainable Cryptocurrencies: Investigating Dynamic Connectedness during the COVID-19 Pandemic. Economies, 11(3), 76.
  • Hsiao, C. (2022). Analysis of panel data (No. 64). Cambridge University Press.
  • Hsiao, C., & Pesaran, M. H. (2004). Random coefficient panel data models. Available at SSRN 572783.
  • Hurlin, C., & Mignon, V. (2007). Second generation panel unit root tests.
  • Irandoust, A. H. J. M., & Hatemi, A. (2005). Foreign aid and economic growth: new evidence from panel cointegration. Journal of economic development, 30(1), 71-80.
  • Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1), 1-44.
  • Kaya, M., & Aydemir, C. (2011). Küreselleşmenin tarihsel gelişimi. Dicle Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 1(1), 14-36.
  • Kartal, M. T., Ayhan, F., & Altaylar, M. (2023). The impacts of financial and macroeconomic factors on financial stability in emerging countries: evidence from Turkey’s nonperforming loans. Journal of Risk, 25(3).
  • Kırca, M., & Özer, M. (2020). The impact of tourism demand on regional inflation in Turkey. Journal of the Geographical Institute" Jovan Cvijic", SASA, 70(3), 241-254.
  • Kim, H., Oh, K. Y., & Jeong, C. W. (2005). Panel cointegration results on international capital mobility in Asian economies. Journal of International Money and Finance, 24(1), 71-82.
  • Klein, M. (2015). Inequality and household debt: a panel cointegration analysis. Empirica, 42, 391-412.
  • Kök, R., İspir, M. S., & Arı, A. A. (2010). Zengin ülkelerden azgelişmiş ülkelere kaynak aktarma mekanizmasının gerekliliği ve evrensel bölüşüm parametresi üzerine bir deneme. Uluslararası Ekonomi Konferansı, Türkiye Ekonomi Kurumu, Kıbrıs.
  • Küçüksakarya, S., & Özer, M. (2021). Panel data analysıs of relatıonshıp between economıc growth, foreıgn dırect ınvestment, exchange rate and trade openness ın newly ındustrıalızed countrıes. Journal of Management and Economics Research, 19(3), 94-114.
  • Maddala, G. S., Trost, R. P., Li, H., & Joutz, F. (1997). Estimation of short-run and long-run elasticities of energy demand from panel data using shrinkage estimators. Journal of Business & Economic Statistics, 15(1), 90-100.
  • Mensah, I. A., Sun, M., Gao, C., Omari-Sasu, A. Y., Zhu, D., Ampimah, B. C., & Quarcoo, A. (2019). Analysis on the nexus of economic growth, fossil fuel energy consumption, CO2 emissions and oil price in Africa based on a PMG panel ARDL approach. Journal of Cleaner Production, 228, 161-174.
  • Nilavongse, R., Michał, R., & Uddin, G. S. (2020). Economic policy uncertainty shocks, economic activity, and exchange rate adjustments. Economics Letters, 186, 108765.
  • Nirola, N., & Sahu, S. (2020). Revisiting the Wagner’s law for Indian states using second generation panel cointegration. Economic Change and Restructuring, 53, 241-263.
  • Ordu Akkaya, B. M. (2019). US Economic Policy Uncertainty And Loan Growth: Evidence From Turkey. Üçüncü Sektör Sosyal Ekonomi.
  • Pedroni, P. (1995). Panel Cointegration; Asymptotic and Finite Sample Propertiesof Pooled Time Series Tests, with an Application to the PPP Hypothesis, IndianaUniversity Working Papers in Economics, No. 95-013, June.
  • Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In Nonstationary panels, panel cointegration, and dynamic panels (pp. 93-130). Emerald Group Publishing Limited.
  • Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and statistics, 83(4), 727-731.
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Available at SSRN 572504.
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of applied econometrics, 22(2), 265-312.
  • Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric reviews, 34(6-10), 1089-1117.
  • Pesaran, M. H., & Smith, R. (1995). The role of theory in econometrics. Journal of econometrics, 67(1), 61-79.
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.
  • Qamruzzaman, M., Karim, S., & Jahan, I. (2022). Nexus between economic policy uncertainty, foreign direct investment, government debt and renewable energy consumption in 13 top oil importing nations: Evidence from the symmetric and asymmetric investigation. Renewable Energy, 195, 121-136.
  • Ramirez, M. D. (2007). A panel unit root and panel cointegration test of the complementarity hypothesis in the Mexican case: 1960–2001. Atlantic Economic Journal, 35, 343-356.
  • Shahbaz, M., Tiwari, A. K., & Khan, S. (2016). Is energy consumption per capita stationary? Evidence from first and second generation panel unit root tests. Economics Bulletin, 36(3), 1656-1669.
  • Sohag, K., Gainetdinova, A., & Mariev, O. (2022). The response of exchange rates to economic policy uncertainty: Evidence from Russia. Borsa Istanbul Review, 22(3), 534-545.
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323.
  • Şahin, D., & Durmuş, S. (2020). Yeni sanayileşen ülkelerde ekonomik kompleksite düzeyinin belirleyicileri. Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 10(2), 334-351.
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709-748.
  • Yerdelen Tatoğlu, F. (2017). Panel Zaman Serileri Analizi Stata Uygulamalı (3. Baskı 2020).
Year 2024, Volume: 46 Issue: 2, 355 - 379, 24.10.2024
https://doi.org/10.14780/muiibd.1412703

Abstract

References

  • Adebayo, T. S., Akadiri, S. S., & Rjoub, H. (2022). On the relationship between economic policy uncertainty, geopolitical risk and stock market returns in South Korea: a quantile causality analysis. Annals of Financial Economics, 17(01), 2250008.
  • Ahmed, M. Y., & Sarkodie, S. A. (2021). COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility. Resources policy, 74, 102303.
  • Altaylar, M., & Dursun, S. (2021). Türkiye’de İçsel Büyüme Modeline Kademeli Bir Bakış: Kantil Regresyon Yaklaşımı. Ekonomi Politika ve Finans Araştırmaları Dergisi, 6(IERFM Özel Sayısı), 225-246.
  • Al-Thaqeb, S. A., & Algharabali, B. G. (2019). Economic policy uncertainty: A literature review. The Journal of Economic Asymmetries, 20, e00133.
  • Apergis, N., & Payne, J. E. (2014). The causal dynamics between renewable energy, real gdp, emissions and oil prices: evidence from OECD countries. Applied Economics, 46(36), 4519-4525.
  • Attig, N., El Ghoul, S., Guedhami, O., & Zheng, X. (2021). Dividends and economic policy uncertainty: International evidence. Journal of Corporate Finance, 66, 101785.
  • Azazi, H. (2019). The effects of political risk and economic policy uncertainty on foreign direct investments: A panel cointegration analysis for selected EU countries. Girişimcilik ve Kalkınma Dergisi, 14(1), 87-100.
  • Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Chichester: Wiley.
  • Baltagi, B. H., & Pesaran, H. M. (2007). Heterogeneity and cross section dependence in panel data models: theory and applications introduction. Journal of Applied Econometrics, 22(2), 229-232.
  • Baltagi, B. H., Feng, Q., & Kao, C. (2012). A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164-177.
  • Bangake, C., & Eggoh, J. C. (2011). The Feldstein–Horioka puzzle in African countries: A panel cointegration analysis. Economic Modelling, 28(3), 939-947.
  • Barbieri, L. (2009). Panel unit root tests under cross-sectional dependence: An overview. Journal of Statistics: Advances in Theory and Applications, 1(2), 117-158.
  • Breitung, J., & Pesaran, M. H. (2008). Unit roots and cointegration in panels. In The econometrics of panel data: Fundamentals and recent developments in theory and practice (pp. 279-322). Berlin, Heidelberg: Springer Berlin Heidelberg.
  • Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Brogaard, J., andA. Detzel(2012). The Asset Pricing Implications of Government Economic Policy Uncertainty. University of Washington Foster School of Business Working Paper.
  • Chang, T., Chen, W. Y., Gupta, R., & Nguyen, D. K. (2015). Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test. Economic Systems, 39(2), 288-300.
  • Che, X., & Jiang, M. (2021). Economic policy uncertainty, financial expenditure and energy poverty: evidence based on a panel threshold model. Sustainability, 13(21), 11594.
  • Cho, H. C., & Ramirez, M. D. (2016). Foreign direct investment and income inequality in southeast Asia: a panel unit root and panel cointegration analysis, 1990–2013. Atlantic Economic Journal, 44, 411-424.
  • Christou, C., Cunado, J., Gupta, R., & 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.
  • Cihangir, Ç. K., & Koçoğlu, Ş. (2022). Oil Prices, Economic Policy Uncertainty and Stock Market Returns in Oil Importing Countries: The Impact of COVID-19 Pandemic. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 40(1), 144-163.
  • Çiğdem, G., & Altaylar, M. (2020). Cointegration Evidences From The New Fragile Five. Journal of Life Economics, 7(3), 269-282.
  • Çiğdem, G., & Altaylar, M. (2021). Nonlinear relationship between economic growth and tax revenue in Turkey: Hidden cointegration approach. İstanbul İktisat Dergisi, 71(1), 21-38.
  • Dai, M., Qamruzzaman, M., & Hamadelneel Adow, A. (2022). An assessment of the impact of natural resource price and global economic policy uncertainty on financial asset performance: Evidence from bitcoin. Frontiers in Environmental Science, 10, 897496.
  • Darıcı, B., Aydın, A., Ayhan, F., & Altaylar, M. (2023). Macroeconomic determinants of tourism demand toward emerging markets. İstanbul İktisat Dergisi, 73(2), 837-864.
  • 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.
  • Dritsaki, C., & Dritsaki, M. (2014). Causal relationship between energy consumption, economic growth and CO2 emissions: A dynamic panel data approach. International Journal of Energy Economics and Policy, 4(2), 125-136.
  • Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic modelling, 29(4), 1450-1460. Econometrics, 15, 93-130.
  • Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.
  • Gemici, E. (2020). Ekonomi Politikası Belirsizliği ile G7 Ülke Borsaları Arasındaki İlişki. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi (BUSBED), 10(20), 353-372.
  • Gökpınar, S. (2022). Covid-19 Pandemisinin ABD Ekonomisine Yansımaları ve Küresel Ekonomik Güçlükler. Bulletin of Economic Theory and Analysis, 7(1), 107-132. https://doi.org/10.25229/beta.1115611
  • Granger, C. W., & Newbold, P. (1974). Spurious regressions in econometrics. Journal of econometrics, 2(2), 111-120.
  • Guo, P., Zhu, H., & 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.
  • Güloglu, B., Tekin, R. B., & Saridogan, E. (2012). Economic determinants of technological progress in G7 countries: A re-examination. Economics Letters, 116(3), 604-608.
  • Güloğlu, B., & İspir, M. S. (2011). Doğal işsizlik oranı mı? İşsizlik histerisi mi? Türkiye için sektörel panel birim kök sınaması analizi. Ege Akademik Bakış, 11(2), 205-215.
  • Guloglu, B., & Bayar, G. (2016). Sectoral exports dynamics of Turkey: Evidence from panel data estimators. The Journal of International Trade & Economic Development, 25(7), 959-977.
  • Hadri, K., & Kurozumi, E. (2012). A simple panel stationarity test in the presence of serial correlation and a common factor. Economics Letters, 115(1), 31-34.
  • Haq, I. U., Ferreira, P., Quintino, D. D., Huynh, N., & Samantreeporn, S. (2023). Economic Policy Uncertainty, Energy and Sustainable Cryptocurrencies: Investigating Dynamic Connectedness during the COVID-19 Pandemic. Economies, 11(3), 76.
  • Haq, I. U., Ferreira, P., Quintino, D. D., Huynh, N., & Samantreeporn, S. (2023). Economic Policy Uncertainty, Energy and Sustainable Cryptocurrencies: Investigating Dynamic Connectedness during the COVID-19 Pandemic. Economies, 11(3), 76.
  • Hsiao, C. (2022). Analysis of panel data (No. 64). Cambridge University Press.
  • Hsiao, C., & Pesaran, M. H. (2004). Random coefficient panel data models. Available at SSRN 572783.
  • Hurlin, C., & Mignon, V. (2007). Second generation panel unit root tests.
  • Irandoust, A. H. J. M., & Hatemi, A. (2005). Foreign aid and economic growth: new evidence from panel cointegration. Journal of economic development, 30(1), 71-80.
  • Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1), 1-44.
  • Kaya, M., & Aydemir, C. (2011). Küreselleşmenin tarihsel gelişimi. Dicle Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 1(1), 14-36.
  • Kartal, M. T., Ayhan, F., & Altaylar, M. (2023). The impacts of financial and macroeconomic factors on financial stability in emerging countries: evidence from Turkey’s nonperforming loans. Journal of Risk, 25(3).
  • Kırca, M., & Özer, M. (2020). The impact of tourism demand on regional inflation in Turkey. Journal of the Geographical Institute" Jovan Cvijic", SASA, 70(3), 241-254.
  • Kim, H., Oh, K. Y., & Jeong, C. W. (2005). Panel cointegration results on international capital mobility in Asian economies. Journal of International Money and Finance, 24(1), 71-82.
  • Klein, M. (2015). Inequality and household debt: a panel cointegration analysis. Empirica, 42, 391-412.
  • Kök, R., İspir, M. S., & Arı, A. A. (2010). Zengin ülkelerden azgelişmiş ülkelere kaynak aktarma mekanizmasının gerekliliği ve evrensel bölüşüm parametresi üzerine bir deneme. Uluslararası Ekonomi Konferansı, Türkiye Ekonomi Kurumu, Kıbrıs.
  • Küçüksakarya, S., & Özer, M. (2021). Panel data analysıs of relatıonshıp between economıc growth, foreıgn dırect ınvestment, exchange rate and trade openness ın newly ındustrıalızed countrıes. Journal of Management and Economics Research, 19(3), 94-114.
  • Maddala, G. S., Trost, R. P., Li, H., & Joutz, F. (1997). Estimation of short-run and long-run elasticities of energy demand from panel data using shrinkage estimators. Journal of Business & Economic Statistics, 15(1), 90-100.
  • Mensah, I. A., Sun, M., Gao, C., Omari-Sasu, A. Y., Zhu, D., Ampimah, B. C., & Quarcoo, A. (2019). Analysis on the nexus of economic growth, fossil fuel energy consumption, CO2 emissions and oil price in Africa based on a PMG panel ARDL approach. Journal of Cleaner Production, 228, 161-174.
  • Nilavongse, R., Michał, R., & Uddin, G. S. (2020). Economic policy uncertainty shocks, economic activity, and exchange rate adjustments. Economics Letters, 186, 108765.
  • Nirola, N., & Sahu, S. (2020). Revisiting the Wagner’s law for Indian states using second generation panel cointegration. Economic Change and Restructuring, 53, 241-263.
  • Ordu Akkaya, B. M. (2019). US Economic Policy Uncertainty And Loan Growth: Evidence From Turkey. Üçüncü Sektör Sosyal Ekonomi.
  • Pedroni, P. (1995). Panel Cointegration; Asymptotic and Finite Sample Propertiesof Pooled Time Series Tests, with an Application to the PPP Hypothesis, IndianaUniversity Working Papers in Economics, No. 95-013, June.
  • Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In Nonstationary panels, panel cointegration, and dynamic panels (pp. 93-130). Emerald Group Publishing Limited.
  • Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and statistics, 83(4), 727-731.
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Available at SSRN 572504.
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of applied econometrics, 22(2), 265-312.
  • Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric reviews, 34(6-10), 1089-1117.
  • Pesaran, M. H., & Smith, R. (1995). The role of theory in econometrics. Journal of econometrics, 67(1), 61-79.
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.
  • Qamruzzaman, M., Karim, S., & Jahan, I. (2022). Nexus between economic policy uncertainty, foreign direct investment, government debt and renewable energy consumption in 13 top oil importing nations: Evidence from the symmetric and asymmetric investigation. Renewable Energy, 195, 121-136.
  • Ramirez, M. D. (2007). A panel unit root and panel cointegration test of the complementarity hypothesis in the Mexican case: 1960–2001. Atlantic Economic Journal, 35, 343-356.
  • Shahbaz, M., Tiwari, A. K., & Khan, S. (2016). Is energy consumption per capita stationary? Evidence from first and second generation panel unit root tests. Economics Bulletin, 36(3), 1656-1669.
  • Sohag, K., Gainetdinova, A., & Mariev, O. (2022). The response of exchange rates to economic policy uncertainty: Evidence from Russia. Borsa Istanbul Review, 22(3), 534-545.
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323.
  • Şahin, D., & Durmuş, S. (2020). Yeni sanayileşen ülkelerde ekonomik kompleksite düzeyinin belirleyicileri. Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 10(2), 334-351.
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709-748.
  • Yerdelen Tatoğlu, F. (2017). Panel Zaman Serileri Analizi Stata Uygulamalı (3. Baskı 2020).
There are 71 citations in total.

Details

Primary Language Turkish
Subjects Monetary Policy, Behavioural Finance
Journal Section Makaleler
Authors

Gülden Kadooğlu Aydın 0000-0003-4214-5673

Turgay Münyas 0000-0002-8558-2032

Publication Date October 24, 2024
Submission Date January 23, 2024
Acceptance Date May 13, 2024
Published in Issue Year 2024 Volume: 46 Issue: 2

Cite

APA Kadooğlu Aydın, G., & Münyas, T. (2024). KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ). Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 46(2), 355-379. https://doi.org/10.14780/muiibd.1412703
AMA Kadooğlu Aydın G, Münyas T. KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ). Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. October 2024;46(2):355-379. doi:10.14780/muiibd.1412703
Chicago Kadooğlu Aydın, Gülden, and Turgay Münyas. “KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ)”. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi 46, no. 2 (October 2024): 355-79. https://doi.org/10.14780/muiibd.1412703.
EndNote Kadooğlu Aydın G, Münyas T (October 1, 2024) KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ). Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 46 2 355–379.
IEEE G. Kadooğlu Aydın and T. Münyas, “KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ)”, Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, vol. 46, no. 2, pp. 355–379, 2024, doi: 10.14780/muiibd.1412703.
ISNAD Kadooğlu Aydın, Gülden - Münyas, Turgay. “KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ)”. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 46/2 (October 2024), 355-379. https://doi.org/10.14780/muiibd.1412703.
JAMA Kadooğlu Aydın G, Münyas T. KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ). Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2024;46:355–379.
MLA Kadooğlu Aydın, Gülden and Turgay Münyas. “KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ)”. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi, vol. 46, no. 2, 2024, pp. 355-79, doi:10.14780/muiibd.1412703.
Vancouver Kadooğlu Aydın G, Münyas T. KÜRESEL EKONOMİ POLİTİKASI BELİRSİZLİĞİNİN FİNANSAL PİYASALAR ÜZERİNDEKİ ETKİSİ (YENİ SANAYİLEŞMİŞ ÜLKELER ÖRNEĞİ). Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2024;46(2):355-79.