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Financial Stress and the Trade Balance in Turkey: Empirical Evidence from Credit and Real Exchange Rate Channels

Yıl 2026, Cilt: 8 , 82 - 118 , 26.03.2026
https://doi.org/10.47103/bilturk.1889529
https://izlik.org/JA82RS78YD

Öz

In this study, the effects of fluctuations and crises in financial markets on the trade balance were analyzed using monthly data from the period 2000–2025. In the model established, the trade balance was treated as the dependent variable, while the Financial Pressure (Stress) Index was used as the primary independent variable to represent stress and fragility in financial markets. In order to explain the mechanisms through which financial stress affects the trade balance, domestic credit and the real effective exchange rate index were included in the model as transmission channels. Empirical findings reveal the existence of a stable equilibrium relationship between the variables in the long term, according to the Maki cointegration test, which allows for multiple structural breaks. The cointegration coefficients obtained show that global uncertainties and financial crises negatively affect the trade balance under structural breaks and cause fluctuations in trade performance. However, the VAR-based impulse-response functions indicate that the impact of external shocks on financial stress and other variables dissipates in the short term, within approximately 2–3 months. On the other hand, Vector Error Correction Model (VECM) results estimated based on the VAR model show that financial stress, domestic credit, and exchange rate channels have significant long-term effects on the trade balance. These findings reveal that the trade balance is sensitive not only to short-term shocks but also to the overall health and stability of the financial system. In this context, it is concluded that multidimensional and comprehensive policy measures are needed to limit the negative effects of global financial uncertainty and crises on foreign trade, which strengthen financial stability, direct the credit mechanism in favor of production and exports, and aim to reduce exchange rate volatility.

Kaynakça

  • Ahir, H., Dell’Ariccia, G., Furceri, D., Papageorgiou, C. & Qi, H. (2023). Financial Stress and Economic Activity: Evidence from a New Worldwide Index. IMF Working Papaer, No: WP/23/217.
  • Aklan, N. A., Çınar, M. ve Akay, H. K. (2015). Financial Stress and Economic Activity Relationship in Turkey: Post-2002 Period. Yönetim ve Ekonomi Dergisi, 22 (2), 567-580.
  • Armah, M., Bossman, A., & Amewu, G. (2023). Information flow between global financial market stress and African equity markets: An EEMD-based transfer entropy analysis. Heliyon, 9(3). https://doi.org/10.1016/j.heliyon.2023.e13899
  • Aruoba, S. B., Diebold, F. X. & Scotti, C. (2009). Real-Time Measurement of Business Conditions. Journal of Business and Economic Statistics 27, 417–427.
  • Bai, J., Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66, 47–78. https://doi.org/10.2307/2998540.
  • Bakkal, H. (2021). Türkiye’de Gibson Paradoksunun Geçerliliği: Maki Eşbütünleşme Testi. Journal Of Emerging Economıes And Policy, 2021, 6(2) 226-235.
  • Balakrishnan, R., Danninger, S., Elekdag, S., & Tytell, I. (2011). The Transmission of Financial StressgFrom Advanced To Emerging Economies. Emerging Markets Finance and Trade, 47(sup2), 40-68.
  • Baron, M., Emil, V. & Wei, X. (2021). Banking Crisis Without Panics. Quarterly Journal of Economics, 136 (1), 51-113.
  • Bekhet, H. & Yusop, N. (2009). Assessing the relationship between oil prices, energy consumption and macroeconomic performance in Malaysia: co-integration and vector error correction model approach. International Business Research, 2 (3), 152-175. https://doi.org/10.5539/ibr.v2n3p152.
  • Björnland, H. C. (2000). VAR models in macroeconomic research. Statistics Norway Research Department, 2000/14, Retrieved May 05, 2023, https://www.yumpu.com/en/document/read/5564828/hc-bjrnland-var-models-in-macroeconomic-research.
  • Blix, M. (2010). Detecting and Interpreting Financial Stress in the Euro Area. ECB Working Paper, No: 1214, June 2010.
  • Breitung, J., & Candelon, B. (2006). Testing for short- and long-run causality: a frequency domain approach. Journal of Econometrics, 132(2), 363–378. https://doi.org/10.1016/j.jeconom.2005.02.004.
  • Carrion-i-Silvestre, J. L., Kim, D., & Perron, P. (2009). Gls-based unit root tests with multiple structural breaks under both the null and the alternative hypotheses. Econometric Theory, 25 (2009), 1754–1792. https://doi.org/10.1017/S0266466609990326.
  • Çamlıca, F. & Güneş, D. (2016). Türkiye'de Finansal Stresin Ölçülmesi: Yöntemsel Bir Karşılaştırma. T. C. Merkez Bankası Ekonomi Notları, Sayı: 2016-06 / 03 Mart 2016.
  • Çevik, İ., S. Dibooğlu ve T. Kenç (2013). Measuring Financial Stress in Turkey, Journal of Policy Modeling, Sayı 35(2), 370–383.
  • Çınar, G. & Hushmat, A. (2021). The Analysis of Wheat Prices Using Multiple Structural Break-Point Cointegration Test. Panoeconomicus, 2021, 68 (3), 359-374. https://doi.org/10.2298/PAN150428004C.
  • Dan, Z. & Li, B. (2022). What can we learn from financial stress indicator? Finance Research Letters 50 (2022) 103293.
  • Das, D., Kumar, S. B., Tiwari, A. K., Shahbaz, M., & Hasim, H. M. (2018). On the Relationship of Gold, Crude Oil, Stocks with Financial Stress: A Causality-İn-Quantiles Approach. Finance Research Letters, 27, 169-174. https://doi.org/10.1016/j.frl.2018.02.030.
  • Das, D., Kannadhasan, M., & Bhattacharyya, M. (2019). Do the Emerging Stock Markets React to İnternational Economic Policy Uncertainty, Geopolitical Risk, and Financial Stress Alike? The North American Journal of Economics and Finance, 48, 1-19. https://doi.org/10.1016/j.najef.2019.01.008.
  • Dickey, D.A. & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 1057-72. https://doi.org/10.2307/1912517.
  • Ekinci, A. (2013). Türkiye Finansal Stres Endeksi. Doğuş Üniversitesi Dergisi, 14 (2) 2013, 213-229. http://dx.doi.org/10.1088/1742-6596/375/1/022001.
  • Elekdağ, S., Kanlı, İ., B., Samancıoğlu, Z., Sarıkaya, Ç. (2010). Finansal Stres Ve İktisadi Faaliyet. Central Bank Review. 10, pp.1-8.
  • Elliott, G., Rottenberg, T. J., & Stock, J. (1996). Efficient Tests for an Autoregressive Unit Root. Econometrica, 64 (4), 813-836. https://doi.org/10.2307/2171846.
  • Engle, R.R., & Granger, C.W.J. (1987). Cointegration and Error Correction: Representation, Estimation and Testing. Econometrica, 55, 251–276. https://www.jstor.org/stable/1913236.
  • Franck, R., Schmıed, A. (2004). Predicting Currency Crisis Contagion from East Asia to Russia and Brazil: An Artificial Neural Network Approach” AMCB Working Paper No. 2. Bar‐Ilan University.
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  • Gerni, C., Emsen, Ö. S., & Değer, M. K. (2005). Erken Uyarı Sistemleri Yoluyla Türkiye’deki Ekonomik Krizlerin Analizi. Ekonometri ve İstatistik e-Dergisi, (2), 39-62.
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  • Günay, S., Öner, M., & Aybars, A. (2023). Return spillovers between emerging markets’ financial stress and equity markets of BRIC-T countries. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 45(1), 108- 121. https://doi.org/10.14780/muiibd.1317202.
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Türkiye'de Finansal Stres ve Ticaret Dengesi: Kredi ve Reel Döviz Kuru Kanallarından Elde Edilen Ampirik Kanıtlar

Yıl 2026, Cilt: 8 , 82 - 118 , 26.03.2026
https://doi.org/10.47103/bilturk.1889529
https://izlik.org/JA82RS78YD

Öz

Bu çalışmada, finansal piyasalardaki dalgalanmalar ve krizlerin dış ticaret dengesi üzerindeki etkileri, 2000–2025 dönemi aylık verileriyle analiz edilmiştir. Modelde dış ticaret dengesi bağımlı değişken, finansal piyasalardaki stres ve kırılganlıkları temsilen Finansal Baskı (Stres) Endeksi temel bağımsız değişken olarak kullanılmıştır. Finansal baskının dış ticaret dengesi üzerindeki etkilerini açıklayabilmek amacıyla, yurt içi krediler ve reel efektif döviz kuru endeksi modele aktarım kanalları olarak dâhil edilmiştir. Ampirik bulgular, çoklu yapısal kırılmalara izin veren “Maki” eşbütünleşme testine göre değişkenler arasında uzun dönemde istikrarlı bir denge ilişkisi vardır. Eşbütünleşme katsayıları, küresel belirsizlikler ve finansal krizlerin yapısal kırılmalar altında dış dengeyi olumsuz etkilediğini ve performansında dalgalanmalara yol açtığını göstermektedir. VAR modeline dayalı etki–tepki fonksiyonları, değişkenlerde meydana gelen dışsal şokların etkisinin kısa vadede, yaklaşık 2–3 aylık bir süre içerisinde sönümlendiğine işaret etmektedir. Öte yandan, VAR modeli temelinde tahmin edilen Vektör Hata Düzeltme Modeli (VECM) sonuçları, finansal baskı, yurt içi krediler ve döviz kuru kanallarının dış ticaret dengesi üzerinde uzun dönemde anlamlı etkiler yarattığını göstermektedir. Bu bulgular, dış ticaret dengesinin yalnızca kısa vadeli şoklara değil, finansal sistemin genel sağlığına ve istikrarına duyarlı olduğunu ortaya koymaktadır. Bu çerçevede, küresel finansal belirsizliklerin ve krizlerin dış ticaret üzerindeki olumsuz etkilerini sınırlayabilmek için finansal istikrarı güçlendiren, kredi mekanizmasını üretim ve ihracat lehine yönlendiren ve döviz kuru oynaklığını azaltmayı hedefleyen çok boyutlu ve kapsayıcı politika tedbirlerine ihtiyaç duyulduğu sonucuna ulaşılmaktadır.

Kaynakça

  • Ahir, H., Dell’Ariccia, G., Furceri, D., Papageorgiou, C. & Qi, H. (2023). Financial Stress and Economic Activity: Evidence from a New Worldwide Index. IMF Working Papaer, No: WP/23/217.
  • Aklan, N. A., Çınar, M. ve Akay, H. K. (2015). Financial Stress and Economic Activity Relationship in Turkey: Post-2002 Period. Yönetim ve Ekonomi Dergisi, 22 (2), 567-580.
  • Armah, M., Bossman, A., & Amewu, G. (2023). Information flow between global financial market stress and African equity markets: An EEMD-based transfer entropy analysis. Heliyon, 9(3). https://doi.org/10.1016/j.heliyon.2023.e13899
  • Aruoba, S. B., Diebold, F. X. & Scotti, C. (2009). Real-Time Measurement of Business Conditions. Journal of Business and Economic Statistics 27, 417–427.
  • Bai, J., Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66, 47–78. https://doi.org/10.2307/2998540.
  • Bakkal, H. (2021). Türkiye’de Gibson Paradoksunun Geçerliliği: Maki Eşbütünleşme Testi. Journal Of Emerging Economıes And Policy, 2021, 6(2) 226-235.
  • Balakrishnan, R., Danninger, S., Elekdag, S., & Tytell, I. (2011). The Transmission of Financial StressgFrom Advanced To Emerging Economies. Emerging Markets Finance and Trade, 47(sup2), 40-68.
  • Baron, M., Emil, V. & Wei, X. (2021). Banking Crisis Without Panics. Quarterly Journal of Economics, 136 (1), 51-113.
  • Bekhet, H. & Yusop, N. (2009). Assessing the relationship between oil prices, energy consumption and macroeconomic performance in Malaysia: co-integration and vector error correction model approach. International Business Research, 2 (3), 152-175. https://doi.org/10.5539/ibr.v2n3p152.
  • Björnland, H. C. (2000). VAR models in macroeconomic research. Statistics Norway Research Department, 2000/14, Retrieved May 05, 2023, https://www.yumpu.com/en/document/read/5564828/hc-bjrnland-var-models-in-macroeconomic-research.
  • Blix, M. (2010). Detecting and Interpreting Financial Stress in the Euro Area. ECB Working Paper, No: 1214, June 2010.
  • Breitung, J., & Candelon, B. (2006). Testing for short- and long-run causality: a frequency domain approach. Journal of Econometrics, 132(2), 363–378. https://doi.org/10.1016/j.jeconom.2005.02.004.
  • Carrion-i-Silvestre, J. L., Kim, D., & Perron, P. (2009). Gls-based unit root tests with multiple structural breaks under both the null and the alternative hypotheses. Econometric Theory, 25 (2009), 1754–1792. https://doi.org/10.1017/S0266466609990326.
  • Çamlıca, F. & Güneş, D. (2016). Türkiye'de Finansal Stresin Ölçülmesi: Yöntemsel Bir Karşılaştırma. T. C. Merkez Bankası Ekonomi Notları, Sayı: 2016-06 / 03 Mart 2016.
  • Çevik, İ., S. Dibooğlu ve T. Kenç (2013). Measuring Financial Stress in Turkey, Journal of Policy Modeling, Sayı 35(2), 370–383.
  • Çınar, G. & Hushmat, A. (2021). The Analysis of Wheat Prices Using Multiple Structural Break-Point Cointegration Test. Panoeconomicus, 2021, 68 (3), 359-374. https://doi.org/10.2298/PAN150428004C.
  • Dan, Z. & Li, B. (2022). What can we learn from financial stress indicator? Finance Research Letters 50 (2022) 103293.
  • Das, D., Kumar, S. B., Tiwari, A. K., Shahbaz, M., & Hasim, H. M. (2018). On the Relationship of Gold, Crude Oil, Stocks with Financial Stress: A Causality-İn-Quantiles Approach. Finance Research Letters, 27, 169-174. https://doi.org/10.1016/j.frl.2018.02.030.
  • Das, D., Kannadhasan, M., & Bhattacharyya, M. (2019). Do the Emerging Stock Markets React to İnternational Economic Policy Uncertainty, Geopolitical Risk, and Financial Stress Alike? The North American Journal of Economics and Finance, 48, 1-19. https://doi.org/10.1016/j.najef.2019.01.008.
  • Dickey, D.A. & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 1057-72. https://doi.org/10.2307/1912517.
  • Ekinci, A. (2013). Türkiye Finansal Stres Endeksi. Doğuş Üniversitesi Dergisi, 14 (2) 2013, 213-229. http://dx.doi.org/10.1088/1742-6596/375/1/022001.
  • Elekdağ, S., Kanlı, İ., B., Samancıoğlu, Z., Sarıkaya, Ç. (2010). Finansal Stres Ve İktisadi Faaliyet. Central Bank Review. 10, pp.1-8.
  • Elliott, G., Rottenberg, T. J., & Stock, J. (1996). Efficient Tests for an Autoregressive Unit Root. Econometrica, 64 (4), 813-836. https://doi.org/10.2307/2171846.
  • Engle, R.R., & Granger, C.W.J. (1987). Cointegration and Error Correction: Representation, Estimation and Testing. Econometrica, 55, 251–276. https://www.jstor.org/stable/1913236.
  • Franck, R., Schmıed, A. (2004). Predicting Currency Crisis Contagion from East Asia to Russia and Brazil: An Artificial Neural Network Approach” AMCB Working Paper No. 2. Bar‐Ilan University.
  • Freixas, X., Laeven, L., & Peydr´o, J.-L. (2015). Systemic Risk, Crises, and Macroprudential Regulation. MIT Press. Fu, Z., Chen, Z., Sharif, A., & Razi, U. (2022). The role of financial stress, oil, gold, and natural gas prices on clean energy stocks: global evidence from extreme quantile approach. Resources Policy, 78, 102860. https://doi. org/10.1016/j.resourpol.2022.102860.
  • Gerni, C., Emsen, Ö. S., & Değer, M. K. (2005). Erken Uyarı Sistemleri Yoluyla Türkiye’deki Ekonomik Krizlerin Analizi. Ekonometri ve İstatistik e-Dergisi, (2), 39-62.
  • Gregory, A.W., & Hansen, B.E. (1996a). Residual-based tests for cointegration ın models with regime shifts. Journal of Econometrics, 70, 99–126. https://doi.org/10.1016/0304-4076(69)41685-7.
  • Görüş, M. & Aydın, M. (2019). The relationship between energy consumption, economic growth, and CO2 emission in mena countries: causality analysis ın the frequency domain. Energy, 168 (2019), 815-822. https://doi.org/10.1016/j.energy.2018.11.139.
  • Groen, J. J. J., Nattinger, M. B. & Noble, A. I. (2022). Measuring Global Financial Market Stresses. Federal Reserve Bank of New York Staff, Reports No. 940.
  • Gupta, R., Hammoudeh, S., Modise, M. P., & Nguyen, D. K. (2014). Can Economic Uncertainty, Financial Stress, And Consumer Sentiments Predict US Equity Premium? Journal of International Financial Markets, Institutions and Money, 33, 367-378. https://doi.org/10.1016/j.intfin.2014.09.004.
  • Günay, S., Öner, M., & Aybars, A. (2023). Return spillovers between emerging markets’ financial stress and equity markets of BRIC-T countries. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 45(1), 108- 121. https://doi.org/10.14780/muiibd.1317202.
  • Hakkio, C.S. & Keeton, W.R. (2009). Financial Stress: What Is It, How Can It Be Measured, And Why Does It Matter?. Federal Reserve Bank of Kansas City Economic Review.
  • Hatemi, J. (2008). Tests for cointegration with two unknown regime shifts with an application to financial market integration. Empirical Economics, (2008) 35, 497–505. https://doi.org/10.1007/s00181-007-0175-9.
  • Hatzius, J., Hooper, P., Mishkin, F.S., Schoenholtz K.L., Watson, M.W. (2010). Financial Conditions Indexes: A Fresh Look After The Financial Crisis. NBER Working Paper. 16150.
  • Hayakawa, K. & Kurozumi, E. (2006). The role of “leads” in the dynamic ols estimation of cointegrating regression models. Hermes IR Discussion Paper, 194, December 2006. http://hi-stat.ier.hit-u.ac.jp/.
  • Hosoya, Y. (1991). The decomposition and measurement of the interdependency between second order stationary processes. Probability Theory and Related Fields, 88(4), 429–444.
  • Hurwicz, L. (1962). On the structural form of ınterdependent systems in logic, methodology and philosophy of science, 232–239. Stanford University Press, Stanford, CA.
  • Illing, M. & Liu, Y. (2006). Measuring financial stress in a developed country: An application to Canada. Journal of Financail Stability, 2:243–265.
  • Johansen, S. (1991). Estimation and hypothesis testing of cointegration vector in gaussian vector autoregressive model. Econometrica, 59 (6), 1551-1580.
  • Kara, H., Pınar, Ö. & Deren, Ü. (2015). Türkiye için Finansal Koşullar Endeksi. T.C. Merkez Bankası Çalışma Tebliği, 15 (3), 1-31.
  • Kaminsky, G., Lızondo, S., Reınhart, M.C. (1998). Leading Indicators of Currency Crises. IMF Working Papers, 97/79. 1998 “Leading Indicators of Currency Crises”, IMF Staff Papers Vol.45, No.1 March.
  • Kaya, E. & Kılınç, A. (2017). Türkiye İçin Finansal Sıkıntı Endeksinin Ölçümü ve Finansal Sıkıntı Endeksinin Reel Ekonomik Faaliyetler İle İlişkisi. C.Ü. İktisadi ve İdari Bilimler Dergisi, 18 (1), 2017.
  • Kliesen, K. L. & Smith, D. C. (2010). Measuring Financial Market Stress. Federal Reserve Bank of St. Louis Economic Synopses.
  • Levine, R., (2005). Finance and growth: Theory and evidence. In: Aghion, P., Durlauf, S. N. (eds.), Handbook of Economic Growth, Vol. 1A, Amsterdam: Elsevier, 865–934.
  • Liang, C., Luo, Q., Li, Y., & Huynh, L. D. T. (2023). Global Financial Stress Index and Long-Term Volatility Forecast For İnternational Stock Markets. Journal of International Financial Markets, Institutions and Money, 88, 101825. https://doi.org/10.1016/j.intfin.2023.101825
  • 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.
  • Oet, M., V., Eiben, R., Bianco, T., Gramlich, D., Ong, S.J. (2011). The Financial Stress İndex: İdentification of Systemic Risk Conditions. Working papers of the Federal Reserve Bank of Cleveland, 11-30.
  • Öztürkler, H. & Göksel, T. (2013). Türkiye için Finansal Baskı Endeksi Oluşturulması. Türkiye Ekonomi Politikaları Araştırma Vakfı, No: 201319, TEPAV Raporu, Ankara.
  • Phillips, P. C. B. & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75 (2), 335–346. https://doi.org/10.1093/biomet/75.2.335.
  • Reinhard, S. & Aneta, H. H. (2006). Financial Systems - Importance, Differences and Convergence. IMFS Working Paper Series, No. 4, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), Frankfurt a. M., https://nbn-resolving.de/urn:nbn:de:hebis:30-70340.
  • Reinhart, C. M. & Rogoff, K. S. (2009). This Time Is Different: Eight Centuries of Financial Folly. Princeton University Press, Princeton, NJ.
  • Romer, C. D. & Romer, D. H. (2017). New Evidence On The Aftermath Of Financial Crises In Advanced Countries. American Economic Review, 107, 3072–3118.
  • Schweikert, K. (2018). Testing for Cointegration With Threshold Adjustment in the Presence of Structural Breaks. Discussion Paper 07-2018, ISSN 2364-2084, https://wiso.uni-hohenheim.de/papers.
  • Sevim, C. (2012). Öncü Göstergeler Yaklaşımına Göre Finansal Krizler ve Türkiye Örneği. BDDK Kitapları No: 11, Ankara, ISBN 978‐975‐9004‐16‐3.
  • Thakor, A. V. (2013). Leverage, System Risk and Financial System Health: How Do We Develop a Healthy Financial System? In book: Governance, Regulation and Bank Stability, 9-19, DOI:10.1057/9781137413543_2.
  • UNDP (2024). Driving İmpact On Financial Health and Inclusion of Individuals and Businesses: From Setting Targets to İmplementation. Geneva. https://www.unepfi.org/wordpress/wp-content/uploads/2024/02/PRB_Driving-Impact-on-Financial-Health.pdf.
  • Uygur, E. (2001). Krizden krize Türkiye: 2000 kasım ve 2001 şubat krizleri. Türkiye Ekonomi Kurumu, Tartışma Metni.
  • Villaverde, F., & Ramírez, J.F. (2010). Structural vector autoregressions. In: Durlauf, S.N., Blume, L.E. (eds) Macroeconometrics and Time Series Analysis. The New Palgrave Economics Collection. Palgrave and Macmillan Publishing, London. https://doi.org/10.1057/9780230280830_33.
  • Yao, F., & Hosoya, Y. (2000). Inference on one way effect and evidence in Japanese macroeconomic data. Journal of Econometrics, 98, 225-255. https://doi.org/10.1016/S0304-4076(99)00084-6.
  • Yetiz, F. & Ünal, A. E. (2018). Finansal Yeniliklerin Gelişimi ve Türk Bankacılık Sektörüne Etkileri. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20 (4), DOI: iibfdkastamonu.457118.
  • Yılmaz, A. (2025). Assessing The Exports And Commodity Prices Linkage Amid Uncertainity. Gümüşhane Üniversitesi Sosyal Bilimler Dergisi, 16(1), 134-156.
  • Xu, Y., Liang, C., & Wang, J. (2023). Financial Stress And Returns Predictability: Fresh Evidence From China. Pacific-Basin Finance Journal, 78, 101980. https://doi.org/10.1016/j.pacfin.2023.101980.
  • Zhang, D., & Li, B. (2022). What can we learn from financial stress indicator? Finance Research Letters, 50, 103293. https://doi.org/10.1016/j.frl.2022.103293
Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yatay Kesit Analizi
Bölüm Araştırma Makalesi
Yazarlar

Özgür Çetiner 0000-0001-5830-2587

Gönderilme Tarihi 14 Şubat 2026
Kabul Tarihi 19 Mart 2026
Yayımlanma Tarihi 26 Mart 2026
DOI https://doi.org/10.47103/bilturk.1889529
IZ https://izlik.org/JA82RS78YD
Yayımlandığı Sayı Yıl 2026 Cilt: 8

Kaynak Göster

APA Çetiner, Ö. (2026). Financial Stress and the Trade Balance in Turkey: Empirical Evidence from Credit and Real Exchange Rate Channels. BİLTÜRK Ekonomi ve İlişkili Çalışmalar Dergisi, 8, 82-118. https://doi.org/10.47103/bilturk.1889529

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BİLTÜRK, The Journal of Economics and Related Studies is a peer-reviewed international journal that analyzes problems in all areas of the economy and related fields of economy. The Journal focuses on the publication of both theoretical and empirical publications in the field of economics and the related studies.

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Ücretsiz

Editors in Chief

Makro İktisat, Büyüme, Gelişme Ekonomisi
Kalkınma Ekonomisi - Makro, Maliye Politikası, Gelişme Ekonomisi, Kamu Ekonomisi, Savunma Çalışmaları, Kamu Maliyesi

Editors

Matematiksel İktisat, Makro İktisat, Mikro İktisat, Davranışsal İktisat, Kamu Ekonomisi, Savunma Çalışmaları
Hukuk ve İktisat, Bütçe ve Mali Planlama

Editorial Boards

Uygulamalı Mikro Ekonometri, Maliye Politikası, Çevre Ekonomisi, Sağlık Ekonomisi, Kamu Maliyesi
Makroekonomik Teori

Prof. Dr. NACİ TOLGA SARUÇ
Kişisel Bilgiler
E-posta: naci.saruc@istanbul.edu.tr
Web: https://avesis.istanbul.edu.tr/naci.saruc
Posta Adresi: İstanbul Üniversitesi Merkez Kampüsü 34452 Beyazıt/Fatih-İstanbul Tel: 0 (212) 440 00 00
Uluslararası Araştırmacı ID'leri
ScholarID: D7nVXw4AAAAJ
ORCID: 0000-0003-0716-3040
Publons / Web Of Science ResearcherID: AAA-7387-2020
Yoksis Araştırmacı ID: 118804
Eğitim Bilgileri
Doktora, University of Leicester, Social Sciences, Economics, Birleşik Krallık 1995 - 2001
Yüksek Lisans, University of Leicester, The Faculty Of Social Sciences, Economics, Birleşik Krallık 1994 - 1995
Lisans, Dokuz Eylül Üniversitesi, İktisadi Ve İdari Bilimler Fakültesi, Maliye Bölümü, Türkiye 1987 - 1992
Yabancı Diller
İngilizce, C1 İleri
Yaptığı Tezler
Doktora, The determinants of tax evasion: Experiments with Turkish subjects , University Of Leicester, Social Sciences, Economics, 2001
Yüksek Lisans, Privatisation of Water Industry in England and Wales, University of Leicester, Social Science Faculty, Economics, 1995 

Maliye Politikası, Kamu Ekonomisi - Kamu Seçimi, Maliye Sosyolojisi, Bütçe ve Mali Planlama, Devlet Muhasebesi, Kamu Maliyesi, Mali Hukuk, Maliye Kuramı, Maliye Çalışmaları (Diğer)
İnsan Kaynakları Yönetimi, Kurumsal Sosyal Sorumluluk, Girişimcilik, Organizasyon ve Yönetim Teorisi
Türkiye Dışındaki Türk Halk Bilimi, Türkiye Sahası Türk Halk Bilimi, Türk Halk Bilimi (Diğer)
Bölgesel Ekonomi
İslam Ekonomisi
İstihdam, Kalkınma Ekonomisi - Makro, Kayıt Dışı Ekonomi, Sosyal Adalet, Sosyal Refah Politikaları

Junus Ganiev, yüksek lisans ve doktora derecelerini Kırgızistan-Türkiye Manas Üniversitesi İktisat Bölümü'nden almıştır. Yüksek lisans tezini enflasyon dinamikleri, doktora tezini ise yolsuzluk üzerine yapmıştır. Para politikası, uluslararası ekonomik ilişkiler, ekonomik büyüme ve kalkınma konularında araştırmalar yapmaktadır. Birçok ülkede uluslararası konferanslara katılmıştır. Makaleleri, kitap bölümleri, kitapları, konferans bildirileri bulunmaktadır. Kırgızistan-Türkiye Manas Üniversitesi İktisadi ve İdari Bilimler Fakültesi İktisat Bölümü'nde tam zamanlı Doçent olarak görev yapmaktadır. ORCID: 0000-0001-8859-5464 (Djal, Campus of Chyngyz Aitmatov, Bishkek, 720038, Kyrgyzstan, +996772 331193, junus.ganiev@manas.edu.kg)

Büyüme, Enflasyon, Dış Ticaret
Bütçe ve Mali Planlama
Makroekonomik Teori, Mikroekonomik Teori, Büyüme, Enflasyon, Konjonktür Dalgalanmaları, Maliye Politikası, Göç Ekonomisi, Savunma Çalışmaları
Kamu Maliyesi, Mali Hukuk

Prof.Dr.Ahmet AK

Ankara Hacı Bayram Veli Üniversitesi İİBF Maliye Bölümü Öğretim üyesi Ankara Maliye Okulu ve Çukurova Üniversitesi İİBF / İşletme Bölümünden mezun oldu. Anadolu Ü. SBE / Mali Hukuk Yüksek Lisans ve Mali Hukuk Doktora programlarını tamamladı.
Yüksek Lisans tez konusu; “GVK Açısından Vergi İdaresi ile Vergi Yargısı Arasındaki Yorum Farklılıkları ve Vergi Yargısı Kararlarının Vergi İdaresi Üzerindeki Etkileri”, Doktora tez konusu ise; “Vergi Yasalarının Hazırlanması, Yasama Süreci ve Türkiye Uygulaması” dır.

Meslek hayatına vergi memuru olarak başlayan AK, 14 yıl Vergi Müfettişi ve 4 yıl da Gelir İdaresi Grup Müdürü olarak görev yaptı. Akademik hayatına 2009 yılında Yard. Doç. olarak başlayan AK, 2010 yılında Doçent, 2012-2013 ABD Kansas Üniversitesinde Doç. misafir öğretim üyesi, 2015 yılında Prof. Dr. Bilecik Şeyh Edebali Üniversitesi, 2017 yılında Prof. Dr. Gazi Üniversitesi ve 2018 yılında ve halen Ankara Hacı Bayram Veli Üniversitesinde Prof. Dr. Olarak görev yapmaktadır. Kurucu Maliye Bölüm Başkanlığı, Mali Hukuk Ana Bilim Dalı Başkanlığı, Üniversite ve Fakülte Kurulları üyeliği gibi görevlerde de bulundu. Akademik düzeyde Fransızca ve İngilizce bilmektedir.

Birçok ulusal ve uluslararası projede yürütücü, danışman ve eğitim görevlisi olarak yer aldı. Akademik alanda çok sayıda makale, kitap ve bilimsel çalışmaları yayınlanmıştır. Vergi Yargılama Hukuku (Vergi Davaları) Vergi Uyuşmazlıkları ve İdari Çözüm Yolları, Vergi Hukukunda İştirakler, Vergi Hukuku, Vergi Ceza Hukukunda Suç ve Kabahatler başlıklı kitapları ile alanında bir çok ulusal ve uluslararası kitaplarda bölüm yazarlığı bulunmaktadır. Gazi, Ankara Hacı Bayram Veli, Bilecik Şeyh Edebali ve Dumlupınar Üniversitesinde Lisans ve Lisans üstü düzeyde dersler vermiştir. Tevhidi Düşünce Açısından Vergi Felsefesi konusunda da çalışmalar yapmaktadır.

Vergi Yasalarının Hazırlanması, Mükellef Hakları, Türk vergi Sistemi, Vergi Yargılama Hukuku ve İçtihat Analizi, Vergi Sosyolojisi, Vergi Hukuku, Vergi Ceza Hukuku, Vergi İcra Hukuku ve Uluslararası Vergilendirme konuları genel uzmanlık alanlarıdır.

Merkezi Kaliforniya’da bulunan ΦΒΔ Honor Society For International Scholars tarafından “Uluslararası Bilim Adamı Onur Madalyası” ve Topluluk üyeliğine (2013) layık görüldü.

2013/Haziran ve 2014/Haziran dönemlerinde Polonya Czestochowa University of Technology’de misafir Öğretim Üyesi olarak görev yaptı. (Halen Bilim Kurulu Üyesi / https://pea-journal.eu/scientific-committee.html )

2015 Hindistan’da (Devi Ahilya Üniversititesi) düzenlenen “Invitation for International Conference of Patel Group of Institutions (ITESM – 2015)” başlıklı uluslararası konferansa Türkiye’yi temsilen katıldı “Evaluation of the Effects of Globalization on the Taxes for Income from International Financial Investment in Turkey in Terms of the OECD Model (Taxation on Dividends)” konulu çalışmasıyla 123 çalışma arasında Uluslararası En İyi Araştırma “International the Best Paper” ödülüne layık görüldü.

“The Possible Effects of Personal Income Tax and Value Added Tax on Consumer Behaviors” başlıklı makalesi Harvard Üniversity ve Cornell University tarafından yayınlanmıştır. https://ui.adsabs.harvard.edu/abs/2019arXiv191003141A/abstract ;

https://arxiv.org/abs/1910.03141?fbclid=IwAR0ICFVYA6h3r2iaZsaxZdjkqFFkz0HoDwbDil5VvN6ITDE0VnSm44B1fbo

Segull Publications: Director in Board of Development ve International Journal of Tax Economics and Management IJTEM, Yönetim Kurulu Başkanı ve Baş Editörü

Tevhidi Düşünce Derneği Yönetim Kurulu Başkan Yardımcısı ve İLMAR (İlmi ve Metodolojik Araştırmalar Derneği) Yönetim Kurulu üyesi.

İslam Ekonomisi, Hukuk ve İktisat, Hukuk Sosyolojisi, İktisat Sosyolojisi, Uluslararası İlişkilerde Uyuşmazlık Çözümü, Maliye Çalışmaları, Kamu Maliyesi, Mali Hukuk, Maliye Kuramı
Bütçe ve Mali Planlama
Uygulamalı Makro Ekonometri, Uluslararası İktisat (Diğer), Sağlık Ekonomisi, Turizm Ekonomisi, Uygulamalı Ekonomi (Diğer)
Ekonometrik ve İstatistiksel Yöntemler, Matematiksel İktisat, Finansal Matematik
Ekonomi Politik Teorisi, Para-Bankacılık, İslam Finansı
Konjonktür Dalgalanmaları, Maliye Politikası, Para Politikası, Para-Bankacılık
Ekonometri Teorisi

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