Faiz, Döviz Kuru, Altın Fiyatları ve BIST100 Endeksi İlişkisinin Ekonometrik Analizi: Türkiye Üzerine Bir Uygulama

Öz

Bu çalışmada BIST100 hisse senedi endeksinin faiz, döviz kuru ve altın fiyatları açısından duyarlılığının belirlenmesi amaçlanmıştır. Bu amaçla 4 Ocak 2000-28 Haziran 2021 dönemini kapsayan günlük veriler kullanılarak tüm örneklem dönemine ilişkin değişkenler arasındaki uzun ve kısa dönem ilişkilerinin COVID-19 pandemi dönemi ile kıyaslandığında nasıl seyrettiği Johansen-Juselius eşbütünleşme analizi, Granger nedensellik testi, varyans ayrıştırma ve etki-tepki analizleri uygulanarak araştırılmıştır. Elde edilen bulgulara göre, eşbütünleşme analizi için bağımlı değişkenin BIST100 endeksi getirisi olduğu durumda değişkenler arasında bir uzun dönem ilişki bulunmuş olup; altın fiyatlarının BIST100 üzerinde anlamlı bir etkisi bulunamamıştır. Granger nedensellik analizi sonuçları ise ele alınan dönem için BIST 100 endeksi ile hem döviz kuru hem de faiz serisi arasında çift yönlü bir nedensellik ilişkisinin varlığını saptarken, BIST100 endeksinden altın fiyatlarına doğru tek yönlü bir nedensellik ilişkisi ortaya koymuştur. COVID-19 dönemi ele alındığında %5 anlamlılık düzeyinde seriler arasında bir uzun dönem ilişkisi bulunamamış olup, %10 anlamlılık düzeyinde bulunan bir eşbütünleşik ilişki için ise hata düzeltme mekanizması yalnızca bağımlı değişkenin faiz oranları olduğu durumda çalışmıştır. Ayrıca bu dönemde genel dönemdeki kısa dönem ilişkilerinin tersine BIST100 endeksindeki değişimi serinin kendisinden sonra en çok açıklayan değişkenin altın fiyatları olduğu saptanmış olup, altın fiyatlarından BIST100’e doğru ve BIST100’den faiz oranlarına doğru tek yönlü nedensellik ilişkileri elde edilmiştir.

Anahtar Kelimeler

• BIST100
• Altın Fiyatları
• Johansen Eşbütünleşme
• Granger Nedensellik
• Etki-Tepki Analizi

Econometric Analysis of the Relationship Among Interest Rate, Exchange Rate, Gold Prices and ISE100 Index: An Application on Turkey

Öz

In this study, it has been aimed to determine the sensitivity of the ISE100 stock index in terms of interest rate, exchange rate and gold prices. For this purpose, by applying Johansen-Juselius cointegration analysis, Granger causality test, variance decomposition and impulse-response analysis for daily data covering the period January 4, 2000-June 28, 2021; it has been investigated how the long and short term relationships regarding the entire sample among the variables follow a route when compared to the COVID-19 period. According to the findings, in case the dependent variable for the cointegration analysis is the ISE100 index return, a long-term relationship has been detected among the variables; however, no significant effect of gold prices on ISE100 has been found. Besides, Granger causality analysis reveals a unidirectional causality relationship from ISE100 to gold prices, while detecting the existence of a bidirectional causality relationship between the ISE100 index and both the exchange rate & the interest rate series for the period under consideration. Considering the COVID-19 period, no long-term relationship has been found at the 5% significance level and for a cointegrating relationship detected at 10% level, the error correction mechanism has only worked when the dependent variable is the interest rate. Additionally, in this period, contrary to the short-term relationships in the general period, the variable explaining the change in the ISE100 index the most after the series itself is the gold prices, and unidirectional causality relationships have been obtained from gold prices to ISE100 and from ISE100 to interest rates.

Anahtar Kelimeler

• ISE100
• Gold Prices
• Johansen Cointegration
• Granger Causality Test
• Impulse-Response Analysis

Kaynakça

1. Akel, V., Kandır, S. ve Yavuz, Ö. S. (2016). Dynamic relationship between stock prices and exchange rates in emerging markets: Evidence from fragile five economies. International Business: Concepts, Methodologies, Tools, and Applications, IGI Global, USA, 2257-2273.
2. Alam, M. D. ve Uddin, G. (2009). Relationship between interest rate and stock price: Empirical evidence from developed and developing countries. International Journal of Business and Management, 4(3), 43-51.
3. Ansari, S. ve Changle, R. (2015). A study measuring impact of major currencies exchange rates on Nifty. Quality Management Practices for Global Excellence, (Eds. A. Bansal, Y. Phatak & R. K. Sharma), Allied Publishers Pvt. Ltd., New Delhi, 3-8.
4. Bahmani-Oskooee, M. ve Sohrabian, A. (1992). Stock prices and the effective exchange rate of the dollar. Applied Economics, 24(4), 459-464.
5. Barut, A., Karaoğlan, S. ve Karabayır, M. E. (2017). Faiz oranı-döviz kuru ve BİST 100 etkileşimi: Maki eşbütünleşme analizi. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 8(16), 503-523.
6. Brandt, P. T. ve Williams, J. T. (2007). Multiple time series models (No. 148). Sage.
7. Branson, W. H. (1983). Macroeconomic determinants of real exchange rate risk. Managing Foreign Exchange Risk, (Ed. R. J. Herring), Cambridge University Press.
8. Brooks, C. (2002). Introductory econometrics for finance. Cambridge University Press, UK.

9. Chkili, W., Aloui, C. ve Nguyen, D. K. (2012). Asymmetric effects and long memory in dynamic volatility relationships between stock returns and exchange rates. Journal of International Financial Markets, Institutions and Money, 22(4), 738-757.
10. Claessens, S. ve Laeven, L. (Eds.) (2006). A reader in international corporate finance (C.2). Dünya Bankası Yayınları.
11. Cromwell, J. B., Hannan, M. J., Labys, W. C. ve Terraza, M. (1994). Multivariate tests for time series models (Seri No. 07-100). Thousand Oaks, CA: Sage.
12. Dimitrova, D. (2005). The relationship between exchange rates and stock prices: Studied in a multivariate model. Issues in Political Economy, 14(1), 3-9.
13. Dornbusch, R. ve Fischer, S. (1980). Exchange rates and the current account. American Economic Review, 70(5), 960-971.
14. Engle, R. F. ve Granger, C. W. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 251-276.
15. Gjerde, Ø. ve Sættem, F. (1999). Causal relations among stock returns and macroeconomic variables in a small, open economy. Journal of International Financial Markets, Institutions and Money, 9, 61-74.
16. Gujarati, D. N. (2003). Basic econometrics, (4. baskı). McGraw-Hill, New York.
17. İpekten, O. B. ve Aksu, H. (2019). Alternatif yabancı yatırım araçlarının İMKB indeksi üzerine etkisi. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 13(1), 413-423.
18. Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254.
19. Johansen, S. ve Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169-210.
20. Kirchgässner, G. ve Wolters, J. (2007). Introduction to modern time series analysis. Springer-Verlag, New York.
21. Koch, T. W. ve Saporoschenko, A. (2001). The effect of market returns, interest rates, and exchange rates on the stock returns of Japanese horizontal Keiretsu financial firms. Journal of Multinational Financial Management, 11(2), 165-182.
22. Kwiatkowski, D., Phillips, P. C., Schmidt, P. ve Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?. Journal of Econometrics, 54(1-3), 159-178.
23. Lean, H. H., Narayan, P. ve Smyth, R. (2011). Exchange rate and stock price interaction in major asian markets: Evidence for individual countries and panels allowing for structural breaks. The Singapore Economic Review, 56(02), 255-277.
24. Mackinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), 601-618.
25. Mcdonald, M. (2002). Predict market swings with technical analysis (C.157). John Wiley & Sons Inc., New York.
26. Mok, H. M. (1993). Causality of interest rate, exchange rate and stock prices at stock market open and close in Hong Kong. Asia Pacific Journal of Management, 10(2), 123-143.
27. Muchiri, M. (2017). Effect of inflation and interest rates on foreign exchange rates in Kenya. A Research Project Submitted in Partial Fulfilment of the Requirements for the Award of the Degree of Master of Business Administration, School of Business, University of Nairobi.
28. Nieh, C. ve Lee, C. (2001). Dynamic relationship between stock prices and exchange rates for G-7 countries. The Quarterly Review of Economics and Finance, 41, 477-490.
29. Nisha, N. (2015). Impact of macroeconomic variables on stock returns: Evidence from Bombay stock exchange (BSE). Journal of Investment and Management, 4(5), 162-170.
30. Omorokunwa, O. G. ve Ikponmwosa, N. (2014). Macroeconomic variables and stock price volatility in Nigeria. Annals of the University of Petroşani, Economics, 14(1), 259-268.
31. Özmen, M. (2007). Farklı döviz kuru rejimleri altında hisse senetleri fiyatları ile döviz kurları arasındaki ilişkinin ekonometrik analizi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 16(1), 519-538.
32. Özmen, M., Karlılar, S. ve Kıral, G. (2017). Türkiye için döviz kuru, faiz ve enflasyonun hisse senedi getirileri üzerine etkileri. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 21(1), 107-120.
33. Pan, M. S., Fok, R. C. W. ve Liu, Y. A. (2007). Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets. International Review of Economics & Finance, 16(4), 503-520.
34. Paramati, S. R. ve Gupta, R. (2013). An empirical relationship between exchange rates, interest rates and stock returns. European Journal of Economics, Finance and Administrative Sciences, (56), 168-181.
35. Pramod Kumar, N. ve Puja, P. (2012). The impact of macroeconomic fundamentals on stock prices revisited: An evidence from Indian data (No. 38980). University Library of Munich, Germany.
36. Ray, S. (2013). Causal nexus between gold price movement and stock market: Evidence from Indian stock market. Econometrics, 1(1), 12-19.
37. Sarkar, A. (2012). Functional instability or paradigm shift?: A characteristic study of Indian stock market in the first decade of the New Millennium. Springer Science & Business Media.
38. Sevüktekin, M. ve Nargeleçekenler, M. (2010). Ekonometrik zaman serileri analizi – Eviews uygulamalı (3. baskı). Nobel yayıncılık.
39. Şentürk, M. ve Dücan, E. (2014). Türkiye’de döviz kuru-faiz oranı ve borsa getirisi ilişkisi: ampirik bir analiz. Business and Economics Research Journal, 5, 67-80.
40. Tarı, R. (2012). Ekonometri (8. baskı). Kocaeli: Umuttepe Yayınları.
41. Watson, P. K. ve Teelucksıngh, S. S. (2002). A practical introduction to econometric methods: Classical and modern. University of West Indies Press.
42. Wu, Y. (2000). Stock prices and exchange rates in VEC model—The case of Singapore in the 1990s. Journal of Economics and Finance, 24(3), 260-274.
43. Yau, H. Y. ve Nieh, C. C. (2006). Interrelationships among stock prices of Taiwan and Japan and NTD/Yen exchange rate. Journal of Asian Economics, 17(3), 535-552.