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Dünya Belirsizlik Endeksinde ABD Ekonomisinin Rolü: Makroekonomik Faktörler ve Finansal Piyasalar Üzerine Bir Analiz

Yıl 2026, Cilt: 40 Sayı: 1, 101 - 111, 01.01.2026
https://doi.org/10.16951/trendbusecon.1666962

Öz

Dünya Belirsizlik Endeksi (WUI), ülkelerdeki ekonomik, politik ve sosyal belirsizlikleri ölçmeyi amaçlayan kapsamlı bir göstergedir. Gelişmiş ve gelişmekte olan ülkeleri kapsayan bu endeks, küresel düzeyde belirsizliğin zaman içindeki değişimini izlemek açısından önemli bir araçtır. Bu çalışmada, ABD ekonomisi ve temel küresel göstergelerin, WUI üzerinde olası etkilerinin araştırılması amaçlanmıştır. Bu amaçla, ABD’ye gelen doğrudan yabancı yatırımlar, petrol fiyatları ve S&P500 borsa endeksi değişkenlerinin 1990-2024 yılları arası çeyreklik veri analizde kullanılmıştır. Değişkenlerinin durağanlık düzeyleri KPSS ve Fourier KPSS testleriyle belirlenmiştir. Ardından Tsong vd. (2016) tarafından geliştirilen Fourier-Shin eşbütünleşme testine boostrap yaklaşımı kullanılarak aralarındaki uzun dönem ilişki araştırılmıştır. Eşbütünleşme ilişkisinin varlığının belirlenmesinin ardından FMOLS (tam modifiye en küçük kareler) tahmincisi kullanılarak, modelin uzun dönem parametreleri tahmin edilmiştir. Elde edilen bulgular, ABD’ye gelen doğrudan yabancı yatırımların küresel belirsizliği artırdığını, petrol fiyatlarının ve S&P500 endeksindeki artışın ise belirsizliği azaltıcı etkisi olduğunu göstermektedir.

Teşekkür

Bu çalışmada uygulama kodunun hazırlanmasında sağladığı değerli katkılar ve teknik destek için Doç. Dr. Aycan Hepsağ'a içten teşekkürlerimizi sunarız.

Kaynakça

  • Ahir, H. and Bloom, N. and Furceri, D.(2018) The World Uncertainty Index. http://dx.doi.org/10.2139/ssrn.3275033
  • Ahir, H., Bloom, N., & Furceri, D. (2022). The world uncertainty index (No. w29763). National bureau of economic research. https://doi.org/10.3386/w29763
  • Akdağ, S., Yıldırım, H., & Alola, A. A. (2023). The USA–China trade policy uncertainty and inference for the major global south indexes. Journal of Economic and Administrative Sciences, 39(1), 60-77. https://doi.org/10.1108/JEAS-05-2020-0077
  • Akron, S., Demir, E., Díez-Esteban, J. M., & García-Gómez, C. D. (2022). How does uncertainty affect corporate investment inefficiency? Evidence from Europe. Research in International Business and Finance, 62,101752.https://doi.org/10.1016/j.ribaf.2022.101752
  • Altemur, N., & Karaca, S. S. (2021). Türkiye için finansal belirsizlik endeksi önerisi (2010-2021). Journal of International Management Educational and Economics Perspectives, 9(1), 64-77. https://dergipark.org.tr/en/pub/jimeep/issue/62832/942069
  • Anser, M. K., Apergis, N., & Syed, Q. R. (2021). Impact of economic policy uncertainty on CO 2 emissions: evidence from top ten carbon emitter countries. Environmental Science and Pollution Research, 28, 29369-29378. https://doi.org/10.1007/s11356-021-12782-4
  • Aydin, M., & Bozatli, O. (2023). The impacts of the refugee population, renewable energy consumption, carbon emissions, and economic growth on health expenditure in Turkey: new evidence from Fourier-based analyses. Environmental Science and Pollution Research, 30(14), 41286-41298. https://doi.org/10.1007/s11356-023-25181-8
  • Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The quarterly journal of economics, 131(4),1593-1636. https://doi.org/10.1093/qje/qjw024
  • Baker, S., Bloom, N., & Davis, S. J. (2019). The extraordinary rise in trade policy uncertainty. VoxEU. org, 17(September).https://cepr.org/voxeu/columns/extraordinary-rise-trade-policy-uncertainty
  • Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409. https://doi.org/10.1111/j.1467-9892.2006.00478.x
  • Bertelli, S., Vacca, G., & Zoia, M. (2022). Bootstrap cointegration tests in ARDL models. Economic Modelling, 116, 105987. https://doi.org/10.1016/j.econmod.2022.105987
  • Bloom, N. (2014). Fluctuations in uncertainty. Journal of economic Perspectives, 28(2), 153-176. https://doi.org/10.1257/jep.28.2.153
  • Caggiano, G., Castelnuovo, E., & Figueres, J. M. (2017). Economic policy uncertainty and unemployment in the United States: A nonlinear approach. Economics Letters, 151, 31-34. https://doi.org/10.1016/j.econlet.2016.12.002
  • Chang, Y., Park, J. Y., & Song, K. (2006). Bootstrapping cointegrating regressions. Journal of Econometrics, 133(2), 703-739. https://doi.org/10.1016/j.jeconom.2005.06.011
  • Cevik, S., & Erduman, Y. (2020). Measuring Monetary Policy Uncertainty and Its Effects on the Economy: The Case of Turkey. Eastern European Economics, 58(5), 436-454. https://doi.org/10.1080/00128775.2020.1798161
  • Clemente, J., Montañés, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economics letters, 59(2), 175-182. https://doi.org/10.1016/S0165-1765(98)00052-4
  • Čižmešija, M., Lolić, I., & Sorić, P. (2017). Economic policy uncertainty index and economic activity: what causes what?. Croatian operational research review, 563-575. https://doi.org/10.17535/crorr.2017.0036
  • Ghirelli, C., Pérez, J. J., & Urtasun, A. (2019). A new economic policy uncertainty index for Spain. Economics Letters, 182,64-67. https://doi.org/10.1016/j.econlet.2019.05.021
  • Guerron-Quintana, P. A. (2012). Risk and Uncertainty. Business Review (Federal Reserve Bank of Philadelphia), Q1, 9-18. https://www.philadelphiafed.org/-/media/frbp/assets/economy/articles/business-review/2012/q1/brq112_risk-and-uncertainty.pdf
  • Gregory, A. W., & Hansen, B. E. (1996). Residual-based tests for cointegration in models with regime shifts. Journal of econometrics, 70(1), 99-126. https://doi.org/10.1016/0304-4076(69)41685-7
  • Haddow, A., Hare, C., Hooley, J., & Shakir, T. (2013). Macroeconomic uncertainty: what is it, how can we measure it and why does it matter? Bank of England Quarterly Bulletin, Q2. https://www.bankofengland.co.uk/quarterly-bulletin/2013/q2/macroeconomic-uncertainty-what-is-it-how-can-we-measure-it-and-why-does-it-matter
  • Hatemi-j, A. (2008). Tests for cointegration with two unknown regime shifts with an application to financial market integration. Empirical economics, 35(3), 497-505. https://doi.org/10.1007/s00181-007-0175-9
  • Hillen, M. A., Gutheil, C. M., Strout, T. D., Smets, E. M., & Han, P. K. (2017). Tolerance of uncertainty: Conceptual analysis, integrative model, and implications for healthcare. Social science & medicine, 180, 62-75. https://doi.org/10.1016/j.socscimed.2017.03.024
  • Ho, L. T., & Gan, C. (2021). Foreign direct investment and world pandemic uncertainty index: Do health pandemics matter? Journal of Risk and Financial Management, 14(3), 107. https://doi.org/10.3390/jrfm14030107
  • Huynh, N., Dao, A., & Nguyen, D. (2021). Openness, economic uncertainty, government responses, and international financial market performance during the coronavirus pandemic. Journal of Behavioral and Experimental Finance, 31, 100536. https://doi.org/10.1016/j.jbef.2021.100536
  • Kapetanios, G., Shin, Y., & Snell, A. (2003). Testing for a unit root in the nonlinear STAR framework. Journal of econometrics, 112(2), 359-379. https://doi.org/10.1016/S0304-4076(02)00202-6
  • Karabulut, G., Bilgin, M. H., & Doker, A. C. (2020). The relationship between commodity prices and world trade uncertainty. Economic Analysis and Policy, 66, 276-281. https://doi.org/10.1016/j.eap.2020.05.001
  • Knight Frank, H. (1921). Risk, uncertainty and profit. книга, 2. https://fraser.stlouisfed.org/files/docs/publications/books/risk/riskuncertaintyprofit.pdf
  • Lee, J., & Strazicich, M. C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. Review of economics and statistics, 85(4), 1082-1089. https://doi.org/10.1162/003465303772815961
  • Leybourne, S., Newbold, P., & Vougas, D. (1998). Unit roots and smooth transitions. Journal of time series analysis, 19(1), 83-97. https://doi.org/10.1111/1467-9892.00078
  • Liu, B. (2010). Uncertainty Theory. In: Uncertainty Theory. Studies in Computational Intelligence, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13959-8_1
  • Liu, N., & Gao, F. (2022). The world uncertainty index and GDP growth rate. Finance Research Letters, 49, 103137. https://doi.org/10.1016/j.frl.2022.103137
  • Lumsdaine, R. L., & Papell, D. H. (1997). Multiple trend breaks and the unit-root hypothesis. Review of economics and Statistics, 79(2), 212-218. https://doi.org/10.1162/003465397556791
  • Luukkonen, R., Saikkonen, P., & Teräsvirta, T. (1988). Testing linearity against smooth transition autoregressive models. Biometrika, 75(3), 491-499. https://doi.org/10.1093/biomet/75.3.491
  • Maki, D. (2012). Tests for cointegration allowing for an unknown number of breaks. Economic Modelling, 29(5), 2011-2015. https://doi.org/10.1016/j.econmod.2012.04.022
  • Palm, F. C., Smeekes, S., & Urbain, J. P. (2008). Bootstrap unit‐root tests: comparison and extensions. Journal of Time Series Analysis, 29(2), 371-401. https://doi.org/10.1111/j.1467-9892.2007.00565.x
  • Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica: journal of the Econometric Society, 1361-1401. https://doi.org/10.2307/1913712
  • Perić, B. Š., & Sorić, P. (2018). A note on the “Economic policy uncertainty index”. Social Indicators Research, 137, 505-526. https://doi.org/10.1007/s11205-017-1609-1
  • Saraç, Ş., & Yirmibeş, S. (2024). Makroekonomik Değişkenler ile Belirsizlik Endeksi Arasinda Panel Eşbütünleşme Ve Panel Nedensellik Analizi: BRIC-T Örneği. Uluslararası Yönetim İktisat ve İşletme Dergisi, 20(ICMEB'24 Özel Sayı), 386-400. https://doi.org/10.17130/ijmeb.1501347
  • Sen, A. (2003). On unit-root tests when the alternative is a trend-break stationary process. Journal of Business & Economic Statistics, 21(1), 174-184. https://doi.org/10.1198/073500102288618874
  • Shin, Y. (1994). A residual-based test of the null of cointegration against the alternative of no cointegration. Econometric theory, 10(1), 91-115. https://doi.org/10.1017/S0266466600008240
  • Şahinöz, S., & Erdoğan Coşar, E. (2018). Economic policy uncertainty and economic activity in Turkey. Applied Economics Letters, 25(21), 1517-1520. https://doi.org/10.1080/13504851.2018.1430321
  • Tan, Ö. F. (2023). Is There Any Impact of the World Uncertainty Spillover Index (WUSI) on Firm Investment? Evidence from Turkey. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 7(1), 97-108. https://doi.org/10.33399/biibfad.1230702
  • Tasçı, H. (2024). ABD Ekonomisinde Ekonomik Politika Belirsizliğinin Belirleyicileri: Para Politikası, Hükümet Harcamaları ve Ulusal Güvenlik Harcamaları. (pp. 1-96). Uluslararası İktisada Dayalı Güncel Araştırmalar ve Uygulamalar. https://doi.org/10.58830/ozgur.pub591.c2466
  • Tsong, C. C., Lee, C. F., Tsai, L. J., & Hu, T. C. (2016). The Fourier approximation and testing for the null of cointegration. Empirical Economics, 51, 1085-1113. https://doi.org/10.1007/s00181-015-1028-6
  • Vogelsang, T. J., & Perron, P. (1998). Additional tests for a unit root allowing for a break in the trend function at an unknown time. International economic review, 1073-1100. https://doi.org/10.2307/2527353
  • Zhang, D., Lei, L., Ji, Q., & Kutan, A. M. (2019). Economic policy uncertainty in the US and China and their impact on the global markets. Economic Modelling, 79, 47-56. https://doi.org/10.1016/j.econmod.2018.09.028
  • Zivot, E., Andrews, D.W.K., (1992). Further evidence on the great crash, the oil-price shock,and the unit-root hypothesis. Journal of Business & Economic Statistic, 10, pp.251-270. https://doi.org/10.2307/1391541

The Role of the US Economies in the World Uncertainty Index: An Analysis of Macroeconomic Factors and Financial Markets

Yıl 2026, Cilt: 40 Sayı: 1, 101 - 111, 01.01.2026
https://doi.org/10.16951/trendbusecon.1666962

Öz

The World Uncertainty Index (WUI) is a comprehensive indicator designed to measure economic, political, and social uncertainty across countries. Covering both developed and developing economies, the index serves as an important tool for tracking the evolution of global uncertainty over time. This study aims to investigate the potential effects of the U.S. economy and key global indicators on the WUI. For this purpose, quarterly data from 1990 to 2024 on U.S. foreign direct investment, oil prices, and the S&P 500 stock index are used in the analysis. The stationarity levels of the variables are determined using the KPSS and Fourier KPSS tests. Subsequently, the long-run relationship among the variables is examined through the Fourier-Shin cointegration test developed by Tsong et al. (2016), employing a bootstrap approach. Following the confirmation of cointegration, the Fully Modified Ordinary Least Squares (FMOLS) estimator is applied to estimate the long-run parameters of the model. The findings indicate that U.S. foreign direct investment increases global uncertainty, while rising oil prices and the S&P 500 index have a mitigating effect on uncertainty.

Teşekkür

We extend our sincere thanks to Assoc. Prof. Dr. Aycan Hepsağ for their valuable contributions and technical support in preparing the application code for this study.

Kaynakça

  • Ahir, H. and Bloom, N. and Furceri, D.(2018) The World Uncertainty Index. http://dx.doi.org/10.2139/ssrn.3275033
  • Ahir, H., Bloom, N., & Furceri, D. (2022). The world uncertainty index (No. w29763). National bureau of economic research. https://doi.org/10.3386/w29763
  • Akdağ, S., Yıldırım, H., & Alola, A. A. (2023). The USA–China trade policy uncertainty and inference for the major global south indexes. Journal of Economic and Administrative Sciences, 39(1), 60-77. https://doi.org/10.1108/JEAS-05-2020-0077
  • Akron, S., Demir, E., Díez-Esteban, J. M., & García-Gómez, C. D. (2022). How does uncertainty affect corporate investment inefficiency? Evidence from Europe. Research in International Business and Finance, 62,101752.https://doi.org/10.1016/j.ribaf.2022.101752
  • Altemur, N., & Karaca, S. S. (2021). Türkiye için finansal belirsizlik endeksi önerisi (2010-2021). Journal of International Management Educational and Economics Perspectives, 9(1), 64-77. https://dergipark.org.tr/en/pub/jimeep/issue/62832/942069
  • Anser, M. K., Apergis, N., & Syed, Q. R. (2021). Impact of economic policy uncertainty on CO 2 emissions: evidence from top ten carbon emitter countries. Environmental Science and Pollution Research, 28, 29369-29378. https://doi.org/10.1007/s11356-021-12782-4
  • Aydin, M., & Bozatli, O. (2023). The impacts of the refugee population, renewable energy consumption, carbon emissions, and economic growth on health expenditure in Turkey: new evidence from Fourier-based analyses. Environmental Science and Pollution Research, 30(14), 41286-41298. https://doi.org/10.1007/s11356-023-25181-8
  • Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The quarterly journal of economics, 131(4),1593-1636. https://doi.org/10.1093/qje/qjw024
  • Baker, S., Bloom, N., & Davis, S. J. (2019). The extraordinary rise in trade policy uncertainty. VoxEU. org, 17(September).https://cepr.org/voxeu/columns/extraordinary-rise-trade-policy-uncertainty
  • Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409. https://doi.org/10.1111/j.1467-9892.2006.00478.x
  • Bertelli, S., Vacca, G., & Zoia, M. (2022). Bootstrap cointegration tests in ARDL models. Economic Modelling, 116, 105987. https://doi.org/10.1016/j.econmod.2022.105987
  • Bloom, N. (2014). Fluctuations in uncertainty. Journal of economic Perspectives, 28(2), 153-176. https://doi.org/10.1257/jep.28.2.153
  • Caggiano, G., Castelnuovo, E., & Figueres, J. M. (2017). Economic policy uncertainty and unemployment in the United States: A nonlinear approach. Economics Letters, 151, 31-34. https://doi.org/10.1016/j.econlet.2016.12.002
  • Chang, Y., Park, J. Y., & Song, K. (2006). Bootstrapping cointegrating regressions. Journal of Econometrics, 133(2), 703-739. https://doi.org/10.1016/j.jeconom.2005.06.011
  • Cevik, S., & Erduman, Y. (2020). Measuring Monetary Policy Uncertainty and Its Effects on the Economy: The Case of Turkey. Eastern European Economics, 58(5), 436-454. https://doi.org/10.1080/00128775.2020.1798161
  • Clemente, J., Montañés, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economics letters, 59(2), 175-182. https://doi.org/10.1016/S0165-1765(98)00052-4
  • Čižmešija, M., Lolić, I., & Sorić, P. (2017). Economic policy uncertainty index and economic activity: what causes what?. Croatian operational research review, 563-575. https://doi.org/10.17535/crorr.2017.0036
  • Ghirelli, C., Pérez, J. J., & Urtasun, A. (2019). A new economic policy uncertainty index for Spain. Economics Letters, 182,64-67. https://doi.org/10.1016/j.econlet.2019.05.021
  • Guerron-Quintana, P. A. (2012). Risk and Uncertainty. Business Review (Federal Reserve Bank of Philadelphia), Q1, 9-18. https://www.philadelphiafed.org/-/media/frbp/assets/economy/articles/business-review/2012/q1/brq112_risk-and-uncertainty.pdf
  • Gregory, A. W., & Hansen, B. E. (1996). Residual-based tests for cointegration in models with regime shifts. Journal of econometrics, 70(1), 99-126. https://doi.org/10.1016/0304-4076(69)41685-7
  • Haddow, A., Hare, C., Hooley, J., & Shakir, T. (2013). Macroeconomic uncertainty: what is it, how can we measure it and why does it matter? Bank of England Quarterly Bulletin, Q2. https://www.bankofengland.co.uk/quarterly-bulletin/2013/q2/macroeconomic-uncertainty-what-is-it-how-can-we-measure-it-and-why-does-it-matter
  • Hatemi-j, A. (2008). Tests for cointegration with two unknown regime shifts with an application to financial market integration. Empirical economics, 35(3), 497-505. https://doi.org/10.1007/s00181-007-0175-9
  • Hillen, M. A., Gutheil, C. M., Strout, T. D., Smets, E. M., & Han, P. K. (2017). Tolerance of uncertainty: Conceptual analysis, integrative model, and implications for healthcare. Social science & medicine, 180, 62-75. https://doi.org/10.1016/j.socscimed.2017.03.024
  • Ho, L. T., & Gan, C. (2021). Foreign direct investment and world pandemic uncertainty index: Do health pandemics matter? Journal of Risk and Financial Management, 14(3), 107. https://doi.org/10.3390/jrfm14030107
  • Huynh, N., Dao, A., & Nguyen, D. (2021). Openness, economic uncertainty, government responses, and international financial market performance during the coronavirus pandemic. Journal of Behavioral and Experimental Finance, 31, 100536. https://doi.org/10.1016/j.jbef.2021.100536
  • Kapetanios, G., Shin, Y., & Snell, A. (2003). Testing for a unit root in the nonlinear STAR framework. Journal of econometrics, 112(2), 359-379. https://doi.org/10.1016/S0304-4076(02)00202-6
  • Karabulut, G., Bilgin, M. H., & Doker, A. C. (2020). The relationship between commodity prices and world trade uncertainty. Economic Analysis and Policy, 66, 276-281. https://doi.org/10.1016/j.eap.2020.05.001
  • Knight Frank, H. (1921). Risk, uncertainty and profit. книга, 2. https://fraser.stlouisfed.org/files/docs/publications/books/risk/riskuncertaintyprofit.pdf
  • Lee, J., & Strazicich, M. C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. Review of economics and statistics, 85(4), 1082-1089. https://doi.org/10.1162/003465303772815961
  • Leybourne, S., Newbold, P., & Vougas, D. (1998). Unit roots and smooth transitions. Journal of time series analysis, 19(1), 83-97. https://doi.org/10.1111/1467-9892.00078
  • Liu, B. (2010). Uncertainty Theory. In: Uncertainty Theory. Studies in Computational Intelligence, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13959-8_1
  • Liu, N., & Gao, F. (2022). The world uncertainty index and GDP growth rate. Finance Research Letters, 49, 103137. https://doi.org/10.1016/j.frl.2022.103137
  • Lumsdaine, R. L., & Papell, D. H. (1997). Multiple trend breaks and the unit-root hypothesis. Review of economics and Statistics, 79(2), 212-218. https://doi.org/10.1162/003465397556791
  • Luukkonen, R., Saikkonen, P., & Teräsvirta, T. (1988). Testing linearity against smooth transition autoregressive models. Biometrika, 75(3), 491-499. https://doi.org/10.1093/biomet/75.3.491
  • Maki, D. (2012). Tests for cointegration allowing for an unknown number of breaks. Economic Modelling, 29(5), 2011-2015. https://doi.org/10.1016/j.econmod.2012.04.022
  • Palm, F. C., Smeekes, S., & Urbain, J. P. (2008). Bootstrap unit‐root tests: comparison and extensions. Journal of Time Series Analysis, 29(2), 371-401. https://doi.org/10.1111/j.1467-9892.2007.00565.x
  • Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica: journal of the Econometric Society, 1361-1401. https://doi.org/10.2307/1913712
  • Perić, B. Š., & Sorić, P. (2018). A note on the “Economic policy uncertainty index”. Social Indicators Research, 137, 505-526. https://doi.org/10.1007/s11205-017-1609-1
  • Saraç, Ş., & Yirmibeş, S. (2024). Makroekonomik Değişkenler ile Belirsizlik Endeksi Arasinda Panel Eşbütünleşme Ve Panel Nedensellik Analizi: BRIC-T Örneği. Uluslararası Yönetim İktisat ve İşletme Dergisi, 20(ICMEB'24 Özel Sayı), 386-400. https://doi.org/10.17130/ijmeb.1501347
  • Sen, A. (2003). On unit-root tests when the alternative is a trend-break stationary process. Journal of Business & Economic Statistics, 21(1), 174-184. https://doi.org/10.1198/073500102288618874
  • Shin, Y. (1994). A residual-based test of the null of cointegration against the alternative of no cointegration. Econometric theory, 10(1), 91-115. https://doi.org/10.1017/S0266466600008240
  • Şahinöz, S., & Erdoğan Coşar, E. (2018). Economic policy uncertainty and economic activity in Turkey. Applied Economics Letters, 25(21), 1517-1520. https://doi.org/10.1080/13504851.2018.1430321
  • Tan, Ö. F. (2023). Is There Any Impact of the World Uncertainty Spillover Index (WUSI) on Firm Investment? Evidence from Turkey. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 7(1), 97-108. https://doi.org/10.33399/biibfad.1230702
  • Tasçı, H. (2024). ABD Ekonomisinde Ekonomik Politika Belirsizliğinin Belirleyicileri: Para Politikası, Hükümet Harcamaları ve Ulusal Güvenlik Harcamaları. (pp. 1-96). Uluslararası İktisada Dayalı Güncel Araştırmalar ve Uygulamalar. https://doi.org/10.58830/ozgur.pub591.c2466
  • Tsong, C. C., Lee, C. F., Tsai, L. J., & Hu, T. C. (2016). The Fourier approximation and testing for the null of cointegration. Empirical Economics, 51, 1085-1113. https://doi.org/10.1007/s00181-015-1028-6
  • Vogelsang, T. J., & Perron, P. (1998). Additional tests for a unit root allowing for a break in the trend function at an unknown time. International economic review, 1073-1100. https://doi.org/10.2307/2527353
  • Zhang, D., Lei, L., Ji, Q., & Kutan, A. M. (2019). Economic policy uncertainty in the US and China and their impact on the global markets. Economic Modelling, 79, 47-56. https://doi.org/10.1016/j.econmod.2018.09.028
  • Zivot, E., Andrews, D.W.K., (1992). Further evidence on the great crash, the oil-price shock,and the unit-root hypothesis. Journal of Business & Economic Statistic, 10, pp.251-270. https://doi.org/10.2307/1391541
Toplam 48 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonometrik ve İstatistiksel Yöntemler, Uygulamalı Makro Ekonometri, Zaman Serileri Analizi
Bölüm Araştırma Makalesi
Yazarlar

Nimet Melis Esenyel İçen 0000-0003-1150-2535

Simge Akdağ 0000-0002-0326-0954

Gönderilme Tarihi 27 Mart 2025
Kabul Tarihi 4 Kasım 2025
Yayımlanma Tarihi 1 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Cilt: 40 Sayı: 1

Kaynak Göster

APA Esenyel İçen, N. M., & Akdağ, S. (2026). Dünya Belirsizlik Endeksinde ABD Ekonomisinin Rolü: Makroekonomik Faktörler ve Finansal Piyasalar Üzerine Bir Analiz. Trends in Business and Economics, 40(1), 101-111. https://doi.org/10.16951/trendbusecon.1666962

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