Journals / Ege Akademik Bakış Dergisi / 2026 / Cilt: 16 Sayı: 2

Short and Long - Run Effects of Exchange Rate on Stock Price Index: An Application to the Fragile Five Countries by Smooth Transition Regression Error Correction Model

Döviz Kurunun Hisse Senedi Fiyatları Üzerine Kısa ve Uzun Dönem Etkileri: Kırılgan Beşli Ülkeleri Üzerine Yumuşak Geçişli Eşik Hata Düzeltme Modeli Uygulaması

Afşin Şahin(Doç. Dr., Gazi Üniversitesi,)
Pages
319–350
Publication Date
2016-05-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the short-run, according to the first regime of LSTRECM, OLS and STR specification results, the simultaneous effect of exchange rate on the stock prices is negative but turns to a positive in the second regime of LSTRECM

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, short and long-run effects of exchange rate on stock prices are analyzed for the Fragile Five countries where foreign investors have a substantial share.
📊
Key Findings & Data:The results for Turkey can be summarized as follows: A simultaneous increase in the exchange rate increases the stock prices according to Engle Granger and Johansen methods and indicates a cointegration relationship among the two variables.
💡
Conclusion & Impact:In the short-run, according to the first regime of LSTRECM, OLS and STR specification results, the simultaneous effect of exchange rate on the stock prices is negative but turns to a positive in the second regime of LSTRECM
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Doğrusal olmama · Finansal piyasalar · Kırılgan Beşli

Abstract

In this study, short and long-run effects of exchange rate on stock prices are analyzed for the Fragile Five countries where foreign investors have a substantial share. Long term effects are estimated by Engle Granger and Johansen cointegration methods; and short term effects are estimated by Ordinary Least Squares (OLS) and Smooth Transition Regression (STR) models. Parameters are also estimated by Nonlinear Smooth Transition Regression Error Correction Model (LSTRECM) that accounts for short and long-run effects within a same equation. It is observed that long-run interaction of two nonstationary variables may diverge among regimes in the short-run. The results for Turkey can be summarized as follows: A simultaneous increase in the exchange rate increases the stock prices according to Engle Granger and Johansen methods and indicates a cointegration relationship among the two variables. In the short-run, according to the first regime of LSTRECM, OLS and STR specification results, the simultaneous effect of exchange rate on the stock prices is negative but turns to a positive in the second regime of LSTRECM

Özet

Bu çalışmada, hisse senedi piyasasının önemli bir kısmının yabancılar tarafından tutulduğu ve Kırılgan Beşli olarak adlandırılan ülkelerde, döviz kurunun hisse senedi piyasası üzerindeki kısa ve uzun vadeli etkileri tahmin edilmiştir. Uzun dönemli etkiler Engle Granger ve Johansen eşbütünleşme yöntemleri ile tahmin edilirken, kısa dönem etkiler En Küçük Kareler (EKK) ve Yumuşak Geçişli Regresyon (STR) modelleri ile tahmin edilmiştir. Uzun ve kısa dönem etkileri aynı eşitlik içinde hesaba katmaya imkân tanıyan Doğrusal Olmayan Yumuşak Geçişli Hata Düzeltme (LSTRECM) modeli ile de parametreler tahmin edilmiştir. Durağan olmayan iki serinin uzun dönemli etkileşiminin kısa dönemde, rejimler arasında farklılaşabildiği görülmüştür. Çalışmada Türkiye’ye ilişkin bulgular şu şekilde özetlenebilir: Uzun dönemde döviz kurundaki eşanlı bir artış, Engle Granger ve Johansen testlerine göre hisse senedi fiyatlarını yükseltmekte ve iki değişken arasında eşbütünleşme ilişkisine işaret etmektedir. Kısa dönemde ise LSTRECM birinci rejim, EKK ve STR belirtimlerine göre döviz kurunun hisse senedi fiyatlarına eşanlı etkisi negatif iken; LSTRECM ikinci rejimde ise etki pozitife dönmektedir

🔖

Cite This Article

Şahin, A. (2016). Short and Long - Run Effects of Exchange Rate on Stock Price Index: An Application to the Fragile Five Countries by Smooth Transition Regression Error Correction Model. Ege Akademik Bakış Dergisi, Cilt: 16 Sayı: 2, 319–350. https://ajindex.com/articles/1476482

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References (95)

  1. AHMAD, Ahmad Hassan, AWORINDE, Olalekan Bashir, MARTIN, Christopher (2015). “Threshold
  2. Cointegration and the Short-run Dynamics of Twin Deficit Hypothesis in African Countries”, The Journal of Economic Asymmetries, Vol. 12, No. 2: 80-91. AKEL, Veli (2015). “Kırılgan Beşli Ülkelerinin Hisse
  3. Senedi Piyasaları Arasındaki Eşbütünleşme Analizi”, Uluslararası Yönetim İktisat ve İşletme Dergisi, Cilt: 11, Sayı: 24: 75-96. AKEL, Veli, KANDIR, Serkan Yılmaz, YAVUZ, Özge Selvi (2015). “Dynamic Relationship between Stock Prices and Exchange Rates in Emerging Markets: Evidence from Fragile Five Economics”. İçinde: Handbook of
  4. Research on Strategic Developments and Regulatory Practice in Global Finance, Ed. Özlem Olgu, Hasan Dinçer, Ümit Hacıoğlu, IGI Global Pub., USA. ALBA, Joseph D., PARK, Donghyum (2005). “An
  5. Empirical Investigation of Purchasing Power Parity (PPP) for Turkey”, Journal of Policy Modeling, Vol. 27, No. 8: 989-1000.
  6. ALCIDI, Cinzia, FLAMINI, Alessandro, FRACASSO, Andrea (2011). “Policy Regime Changes, Judgment and Taylor Rules in the Greenspan Era”, Economica, Vol. 78, No. 309: 89-107.
  7. ARESTIS, Philip, DEMETRIADES, Panicos O., LUINTEL, Kul B. (2001). “Financial Developmet and Economic
  8. Growth: The Role of Stock Markets”, Journal of Money, Credit and Banking, Vol. 33, No. 3: 16-41. BAAZIZ, Yosra (2015). “Estimating Interest Rate
  9. Setting Behavior in Brazil: A LSTR Model Approach”, Economics, Vol. 3, No. 2: 55-71. BAAZIZ, Yosra, LABIDI, Moez, LAHIANI, Amine (2013).
  10. “Does the South African Reserve Bank Follow a Nonlinear Interest Rate Reaction Function?”, Economic Modelling, Vol. 35, September: 272-82. BALCILAR, Mehmet, GUPTA, Rangan, MAJUMDAR, Anandamayee, MILLER, Stephan M. (2015). “Was the Recent Downturn in US Real GDP Predictable?”,
  11. Applied Economics, Vol. 47, No. 28: 2985-3007.
  12. BAŞCI, Erdem ve CANER, Mehmet (2005). “Are
  13. Real Exchange Rates Nonlinear or Nonstationary? Evidence from a New Threshold Unit Root Test”, Studies in Nonlinear Dynamics and Econometrics, Vol., No. 4: 1-21. BECKMANN, Joscha, BELKE, Ansgar, DREGER, Christian (2015). “The Relevance of International Spillovers and Asymmetric Effects in the Taylor Rule”, CEPS Working Document, No. 403: 1-15.
  14. BECKMANN, Joscha, CZUDAJ, Robert (2014). “Non
  15. Linearities in the Relationship of Agricultural Futures Prices”, European Review of Agicultural Economics, Vol., No. 1: 1-23. BECKMANN, Joscha, BERGER, Theo and CZUDAJ, Robert (2015). “Does Gold Act as a Hedge or a Safe
  16. Haven for Stocks? A Smooth Transition Approach”, Economic Modelling, Vol. 48, August: 16-24. BERKE, Burcu (2012). “Döviz Kuru ve İMKB 100 Endeksi
  17. İlişkisi: Yeni Bir Test”, Maliye Dergisi, Sayı: 163, Temmuz- Aralık: 243-257. BERUMENT, Hakan, TOGAY, Selahattin, ŞAHİN, Afşin (2011). “An Identification of Monetary Policy
  18. Disturbances Using Non-borrowed Reserves for a Small-Open Economy: Turkey”, Open Economies Review, Vol. 22, No. 4: 649-667. BROOKS, Chris (2014). Introductory Econometrics for
  19. Finance, Third Edition, Cambridge University Press, United Kingdom. BRÜGGEMANN, Ralf, RIEDEL, Jana (2010). “Nonlinear
  20. Interest Rate Reaction Functions for the UK”, University of Konstanz, WP No. 2010-15: 1-24.
  21. BÜBERKÖKÜ, Önder (2010). “Hisse Senedi Fiyatları ile Döviz Kurları Arasındaki İlişkinin İncelenmesi:
  22. Gelişmiş ve Gelişmekte Olan Ülkelerden Kanıtlar”, İMKB Dergisi, Yıl: 13, Sayı: 52: 1-19. CANER, Mehmet, HANSEN, Bruce E. (2001). “Threshold
  23. Autoregression with a Unit Root”, Econometrica, Vol., No. 6: 1555-1596.
  24. CENGİZ, Sibel, ŞAHİN, Afşin (2014). “Modelling
  25. Nonlinear Behavior of Labor Force Participation Rate by STAR: An Application for Turkey”, International Journal of Economic Sciences and Applied Research”, Vol. 7, No. 1: 113-127. CHAI, Tianfeng ve DRAXLER, Richard R. (2014). “Root
  26. Mean Square Error (RMSE) or Mean Absolute Error (MAE): Arguments Againist Avoiding RMSE in the Literature”, Geoscientific Model Development, Vol. 7, No. 3: 1247-50.
  27. CHINN, Menzie, FERRARA, Laurent, MIGNON, Valerie (2014). “Explaining US Employment Growth After the Great Recession: The Role of Output-Employment
  28. Non-Linearities”, Journal of Macroeconomics, Vol. 42, December: 118-129. CHINN, Menzie D., FERRARA, Laurent, MIGNON, Velerie (2013). “Post-Recession US Employment through the Lens of a Non-Linear Okun’s Law”, NBER Working Paper 19047: 1-19.
  29. ÇUKUR, Sadık, TOPUZ, Yusuf Volkan (2005). “Döviz
  30. Kuru Riski: İMKB Tekstil Sektörü Üzerine Ampirik Bir Çalışma”, İMKB Dergisi, Yıl: 8, Sayı: 30: 19-33. DEGOOIJER, Jan G., KUMAR, Kuldeep (1992). “Some
  31. Recent Developments in Non-Linear Time Series Modelling, Testing and Forecasting”, International Journal of Forecasting, Vol. 8, No. 2: 135-156. DICKEY, David A., FULLER, Wayne A. (1981). “Likelihood
  32. Ratio Statistics for Autoregressive Time Series with a Unit Root”, Econometrica, Vol. 49, No. 4: 1057-1072.
  33. DIJK, Dick van, FRANSES, Philip, Hans (2006).
  34. “Nonlinear Error Correction Models for Interest Rates in the Netherlands, Nonlinear Econometric Modelling in Time Series Proceeding. ENDERS, Walter (2015). Applied Econometric Time
  35. Series, Wiley Publications, Fourth Edition, USA. ENDERS, Walter (2010). Applied Econometric Time
  36. Series, Wiley Publications, Third Edition, USA. ENGLE, Robert E, GRANGER, Clive W.J. (1987).
  37. “Cointegration and Error Correction: Representation, Estimation and Testing”, Econometrica, Vol. 55, No. 2: 276. FAHMY, Hany (2014). “Modelling Nonlinearities in Commodity Prices Using Smooth Transition
  38. Regression Models with Exogenous Transition Variables”, Statistical Methods Applications, Vol. 23, No.: 577-600. FERRARO, Domenico, ROGOFF, Kenneth, ROSSI, Barbara (2015). “Can Oil Prices Forecast Exchange
  39. Rates? An Empirical Analysis of the Relationship between Commodity Prices and Exchange Rates”, Journal of International Money and Finance, Vol. 54, June: 116-141. GRANGER, C.W.J. (1986). “Developments in the Study of Cointegrated Economic Varaiables”, Oxford Bulletin of Economics and Statistics, Vol. 48, No. 3: 213-228.
  40. GRANGER, C.W.J., TERASVIRTA, Timo. (1993). Modelling
  41. Nonlinear Economic Relationships. Oxford University Press. GREENE, William H. (1990). Econometric Analysis,
  42. Macmillan Publication Company, New York. HARRIS, Richard ve SOLLIS, Robert (2003). Applied Time
  43. Series Modelling and Forecasting, Wiley Publications, USA. HJALMARSSON, Erik, ÖSTERHOLM, Pär (2010). “Testing for Cointegration Using the Johansen Methodology
  44. When Variables are Near-Integrated: Size Distortions and Partial Remedies”, Empirical Economics, Vol. 39, No. 1: 51-76. HO, Tsung-wu (2005). “Investigating the Threshold
  45. Effects of Inflation on PPP”, Economic Modelling, Vol., No. 5: 926-948. JAWADI, Fredj, MALLICK, Sushanta Kumar, SOUSA, Ricardo Magalhaes (2014). “Nonlinear Monetary Policy
  46. Reaction Functions in Large Emerging Economies: The Case of Brazil and China”, Applied Economics, Vol., No. 9: 973-984. JOHANSEN, Soren (1995). Likelihood-based Inference in Cointegrated Vector Autoregressive Models, Oxford
  47. University Press, New York. JOHANSEN, Soren (1994). “The Role of the Constant and Linear Terms in Cointegration Analysis of
  48. Nonstationary Variables”, Econometric Reviews, Vol., No. 1: 205-229. JOHANSEN, Soren (1991). “Estimation and Hypothesis
  49. Testing of Cointegration Vectors in Gaussian Vector Autogressive Models”, Econometrica, Vol. 59, No. 6: 1580.
  50. JOHANSEN, Soren (1988). “Statistical Analysis of
  51. Cointegration Vectors”, Journal of Economic Dynamics and Control, Vol. 12, No. 2-3: 231-254. JOHNSTON, Jack, DINARDO, John (1996). Econometric
  52. Methods, McGraw Hill Publications, USA. JOKIVUOLLE, Esa, PESOLA, Jarmo, VIREN, Matti (2015).
  53. “Why is Credit to GDP a Good Measure for Setting Countercyclical Capital Buffers?”, Journal of Financial Stability, Vol. 18, June 117-126. KARACAER, Semra, TOPUZ, Yusuf Volkan (2008). “ABD
  54. Doları Değerindeki Değişmenin Gelişmekte Olan Ülkelerin Hisse Senedi Endekslerine Etkisi: Ocak 2001
  55. Kasım 2006 Örneği”, İMKB Dergisi, Cilt: 11, Sayı: 42: 19.
  56. KAZANAS, Thanassis, PHILIPPOULOS, Apostolis, TZAVALIS, Elias (2011). “Monetary Policy Rules and Business Cycle Conditions”, The Manhester School, Vol., No. 2: 73-97.
  57. KORKMAZ, Turhan, ÇEVİK. Emrah İsmail (2008).
  58. “Türkiye ve Uluslararası Hisse Senedi Piyasaları Arasındaki Eşbütünleşme İlişkisi ve Portföy Tercihleri”, BDDK Bankacılık ve Finansal Piyasalar, Vol. 2, No. 1: 59- LEYBOURNE, Steve, KIM, Tae-Hwan, NEWBOLD, Paul (2008). “A More Powerful Modification of Johansen’s
  59. Cointegration Tests”, Applied Economics, Vol. 40, No. 6: 729. LUUKKONEN, Ritva, SAIKKONEN, Pentti, TERASVIRTA, Timo (1988). “Testing Linearity Againist Smooth
  60. Transition Autoregressive Models”, Biometrika, Vol. 75, No. 3: 491-499. MACKINNON, James G. (1991). “Critical Values for
  61. Cointegration Tests”. In: Engle, R.F., Granger, C.W.J. (Eds.), Long-Run Economic Relationships, Oxford University Press, Oxford. MASLYUK, Stevlana ve SMYTH, Russel (2009). “Non- linear Unit Root Properties of Crude Oil Production”,
  62. Energy Economics, Vol. 31, No. 1: 109-118. MCMILLAN, David G. (2004). “Non-Linear Error
  63. Correction: Evidence for UK Interest Rates”, The Manchester School, Vol. 72, No. 5: 626-640. MEHRA, Yash (1993). “The Stability of the M2 Demand
  64. Function: Evidence from an Error-Correction Model”, Journal of Money, Credit and Banking, Vol. 25, No. 3: 460. MORGAN STANLEY (2013). “FX Pulse: Preparing for
  65. Volaility”, Global Outlook, August, 01: 1-32. NARAYAN, Paresh Kumar (2006). “The Behaviour of US Stock Prices: Evidence from a Threshold
  66. Autoregressive Model”, Mathematics and Computers in Simulation, Vol. 71, No. 2: 103-108. ÖNAL, Yıldırım B., DOĞANLAR, Murat, CANBAŞ, Serpil (2002). “Döviz Kuru Riskinin Özel Türk Bankalarının
  67. Hisse Senedi Fiyatlarına Etkisinin Araştırılması”, İMKB Dergisi, Cilt: 6, Sayı: 22, ss. 17-35. ÖZMEN, Mehmet (2007). “Farklı Döviz Kuru Rejimleri
  68. Altında Hisse Senetleri Fiyatları ile Döviz Kurları Arasındaki İlişkinin Ekonometrik Analizi”, Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 16, Sayı: 1: 519-538. ÖZTÜRK, Beyamil (2008). “Makroekonomik Faktörlerin
  69. İstanbul Menkul Kıymetler Borsası Ulusal 100 Endeksi ve Volatilitesi Üzerindeki Etkilerinin İncelenmesi (1997-2006)”, İstanbul Teknik Üniversitesi Sosyal
  70. Bilimler Ensitütüsü Yüksek Lisans Tezi. PEKKAYA, Mehemet, BAYRAMOĞLU, Fatih (2009).
  71. “Hisse Senedi Fiyatları ve Döviz Kuru Arasındaki Nedensellik İlişkisi: YTL/USD, İMKB-100 ve S&P500 Üzerine Bir Uygulama”, Muhasebe ve Finansman Dergisi, Vol. 38, Nisan: 163-176. RATHER, Sortaj Rasool, DURAI, Raja S. Stehu, RAMACHNDRAN, M. (2015). “Asymmetric Price
  72. Adjustment: Evidence for India”, The Journal of Economic Asymmetries, Vol. 12, No. 2: 73-79. SAVAŞ, İncilay, CAN, İsmail (2011). “Euro-Dolar Paritesi ve Reel Döviz Kurunun İMKB 100 Endeksine Etkisi”,
  73. Eskişehir Osmangazi Üniversitesi İİBF Dergisi, Vol. 6, No.: 323-339. ŞAHİN, Afşin, AKDİ, Yılmaz, ATAKAN, Cemal (2008).
  74. “An Investigation on the Shuttle Trade Dynamics of a Small-Open-Economy”, International Journal of Economic Sciences and Applied Research, Vol. 1, No.2: 12. ŞAHİN, Afşin, AKDİ, Yılmaz (2007). “Çiftçinin Eline
  75. Geçen Fiyatların, Genel Fiyat Endeksleri ve Döviz Kuruyla İlişkileri”, İktisat, İşletme ve Finans, Cilt: 22, Sayı: 252: 116-122. TERASVIRTA, Timo (2004). “Smooth Transition
  76. Regression Modelling”. In: Applied Time Series Econometrics, Cambridge University Press, ss. 222- TERASVIRTA, Timo (1998). “Modelling Economic
  77. Relationships with Smooth Transition Regressions”. In: Handbook of Applied Economic Statistics, (Ed.) Aman Ullah and David E.A. Giles, Marcel Dekker Inc., USA. TERASVIRTA, Timo (1994). “Specification, Estimation and Evaluation of Smooth Transition Autoregressive
  78. Models”, Journal of the American Statistical Association, Vol.89, No. 425: 208-218. TIWARI, Aviral Kumar (2014). “Unemployment
  79. Hysteresis in Australia: Evidence Using Nonlinear and Stationarity Tests with Breaks”, Qual Quant, Vol. 48, No.: 681-695. TURNER, Paul (2009). “Testing for Cointegration Using the Johansen Approach: Are we Using the Correct
  80. Critical Values?”, Journal of Applied Econometrics, Vol., No. 2: 825-831. WEE, Poh Chee, TAN, Randolph (1997). “Performance of Johansen’s Cointegration Test”, East Asian Economic
  81. Issues, Ed: Joh D. Kendall, World Scientific, ss. 402-415. YILMAZ, Ömer, GÜNGÖR, Bener, KAYA, Vedat (2005).
  82. “Hisse Senedi Fiyatları ve Makroekonomik Değişkenler Arasındaki Eşbütünleşme ve Nedensellik”, İMKB Dergisi, Yıl: 8, Sayı: 34: 1-17. ZOU, Xiao-Peng, PANG, Yu-Xiao, ZHU, Hui-Lin (2013).
  83. “The Study between Shadow Banking and Financial Fragility in China: An Empirical Analysis Based on Co- integration Test and Error Correction Model”, Qual Quant, Vol. 47, No. 6: 3363-3370.
  84. Real Exchange Rates Nonlinear or Nonstationary? Evidence from a New Threshold Unit Root Test”, Studies in Nonlinear Dynamics and Econometrics, Vol., No. 4: 1-21. BECKMANN, Joscha, BELKE, Ansgar, DREGER, Christian (2015). “The Relevance of International Spillovers and Asymmetric Effects in the Taylor Rule”, CEPS Working Document, No. 403: 1-15.
  85. Linearities in the Relationship of Agricultural Futures Prices”, European Review of Agicultural Economics, Vol., No. 1: 1-23. BECKMANN, Joscha, BERGER, Theo and CZUDAJ, Robert (2015). “Does Gold Act as a Hedge or a Safe
  86. Autoregression with a Unit Root”, Econometrica, Vol., No. 6: 1555-1596.
  87. Regression Models with Exogenous Transition Variables”, Statistical Methods Applications, Vol. 23, No.: 577-600. FERRARO, Domenico, ROGOFF, Kenneth, ROSSI, Barbara (2015). “Can Oil Prices Forecast Exchange
  88. Effects of Inflation on PPP”, Economic Modelling, Vol., No. 5: 926-948. JAWADI, Fredj, MALLICK, Sushanta Kumar, SOUSA, Ricardo Magalhaes (2014). “Nonlinear Monetary Policy
  89. Reaction Functions in Large Emerging Economies: The Case of Brazil and China”, Applied Economics, Vol., No. 9: 973-984. JOHANSEN, Soren (1995). Likelihood-based Inference in Cointegrated Vector Autoregressive Models, Oxford
  90. Nonstationary Variables”, Econometric Reviews, Vol., No. 1: 205-229. JOHANSEN, Soren (1991). “Estimation and Hypothesis
  91. KAZANAS, Thanassis, PHILIPPOULOS, Apostolis, TZAVALIS, Elias (2011). “Monetary Policy Rules and Business Cycle Conditions”, The Manhester School, Vol., No. 2: 73-97.
  92. Eskişehir Osmangazi Üniversitesi İİBF Dergisi, Vol. 6, No.: 323-339. ŞAHİN, Afşin, AKDİ, Yılmaz, ATAKAN, Cemal (2008).
  93. Models”, Journal of the American Statistical Association, Vol.89, No. 425: 208-218. TIWARI, Aviral Kumar (2014). “Unemployment
  94. Hysteresis in Australia: Evidence Using Nonlinear and Stationarity Tests with Breaks”, Qual Quant, Vol. 48, No.: 681-695. TURNER, Paul (2009). “Testing for Cointegration Using the Johansen Approach: Are we Using the Correct
  95. Critical Values?”, Journal of Applied Econometrics, Vol., No. 2: 825-831. WEE, Poh Chee, TAN, Randolph (1997). “Performance of Johansen’s Cointegration Test”, East Asian Economic