Zayıf Form Piyasa Etkinliği Kapsamında Türkiye Döviz Piyasası Üzerine Ampirik Bir Çalışma

Abstract

Bu çalışmanın amacı Türkiye döviz piyasası içerisinde bulunan varlıkları tarihsel fiyat bilgileriyle getiri oranı tahmin edilebilirliği açısından karşılaştırmak ve Türkiye döviz piyasasının zayıf formdaki piyasa etkinliğini değerlendirmektir. Bu amaç kapsamında çalışmada IMF SDR sepetinde yer alan ve Türkiye döviz cinsi rezervlerinin yaklaşık %96’sını oluşturan para birimlerinin TL cinsi değerlerine ait 07.02.1999-09.02.2020 tarihleri arasındaki haftalık getiri oranları kullanılarak hareketli alt örneklem pencereleri yardımıyla genelleştirilmiş spektral testi ile analizler gerçekleştirilmiştir. Analizler sonucunda, EURO/TL ve özellikle YEN/TL döviz kurlarının diğer döviz kurlarına göre tarihsel fiyat hareketleri kullanılarak daha fazla getiri oranlarının tahmin edilebildiği hafta sayısına sahip olduğu, DOLAR/TL ve YUAN/TL döviz kurlarının ise en az hafta sayısına sahip olduğu bilgisine ulaşılmıştır. Ayrıca döviz kurlarına ait getiri oranlarının tarihsel bilgiler kullanılarak belirli dönemlerde tahmin edilebildiği, belirli dönemler de ise tahmin edilemediği ve dolayısıyla Türkiye döviz piyasasının zayıf formdaki etkinliğinin dönemsel değişimler gösterdiği belirlenmiştir. Tarihsel fiyat hareketlerinden yararlanarak yatırımlarını gerçekleştiren yatırımcıların EURO/TL ve YEN/TL döviz kurlarında başarılı yatırımlar gerçekleştirme şansları diğer döviz kurlarına göre daha fazladır.

Keywords

• Genelleştirilmiş Spektral Testi
• Hareketli Alt Örneklem Pencereleri
• Döviz Piyasası
• Getiri Oranı
• Etkin Piyasalar Hipotezi

An Empirical Study on Turkey Foreign Exchange Market in the Context of Weak Form Market Efficiency

Abstract

This study aims to compare assets in the Turkey foreign exchange market in terms of return predictability with the historical price information and to evaluate weak-form market efficiency of Turkey foreign exchange market. For this aim, analyses are carried out with the generalized spectral test with the help of rolling sub-sample windows using weekly return rates between 07.02.1999-09.02.2020 of TL values of currencies in the IMF SDR basket, which account for about 96% of the Turkish foreign currency reserves. As a result of the analyses, it is found that EURO/TL and especially YEN/TL exchange rates have the number of weeks in which higher rates of return can be estimated using historical price movements compared to other exchange rates, while dollar/TL and YUAN/TL exchange rates have the minimum number of weeks. Also, it is determined that the return rates of foreign exchange rates can be estimated at certain periods using historical information and that they cannot be estimated at certain periods and therefore the weak-form efficiency of Turkey foreign exchange market shows periodic changes. Investors who make their investments using historical price movements have a greater chance of making successful investments at EURO/TL and YEN/TL exchange rates than other exchange rates.

Keywords

• Generalized Spectral Test
• Rolling Sub-Sample Windows
• Foreign Exchange Market
• Rate of Return
• Efficient Markets Hypothesis

References

1. Abounoori, E., Shahrazi, M. and Rasekhi, S. (2012). An investigation of forex market efficiency based on detrended fluctuation analysis: A case study for Iran. Physica A: Statistical Mechanics and its Applications, 391(11), 3170-3179. https://doi.org/10.1016/j.physa.2011.12.045
2. Aktan, C., Şahin, E. E. and Küçükkaplan, I. (2018). Testing the information efficiency in emerging markets. In G. Küçükkocaoğlu and S. Gökten (Eds.), Financial management from an emerging market perspective (pp. 49-66). https://doi.org/10.5772/intechopen.70369
3. Bayraktar, A. (2012). Etkin piyasalar hipotezi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 4(1), 37-47. Erişim adresi: https://dergipark.org.tr/tr/pub/aksarayiibd
4. Belkacem, L., Meddeb, Z. E. and Boubaker, H. (2005). Foreign exchange market efficiency: Fractional cointegration approach. International Journal of Business, 10(3), 285-302. Retrieved from http://www.craig.csufresno.edu/ijb/
5. Berke, B., Özcan, B. ve Dizdarlar, H. I. (2014). Döviz piyasasının etkinliği: Türkiye için bir analiz. Ege Akademik Bakış, 14(4), 621-636. Erişim adresi: https://dergipark.org.tr/tr/pub/eab
6. Charles, A., Darné, O. and Kim, J. H. (2011). Small sample properties of alternative tests for martingale difference hypothesis. Economics Letters, 110(2), 151-154. https://doi.org/10.1016/j.econlet.2010.11.018
7. Charles, A., Darné, O. and Kim, J. H. (2012). Exchange-rate return predictability and the adaptive markets hypothesis: Evidence from major foreign exchange rates. Journal of International Money and Finance, 31(6), 1607-1626. https://doi.org/10.1016/j.jimonfin.2012.03.003
8. Charles, A., Darné, O. and Kim, J. H. (2017). Adaptive markets hypothesis for Islamic stock indices: Evidence from Dow Jones size and sector-indices. International Economics, 151, 100-112. https://doi.org/10.1016/j.inteco.2017.05.002

9. Chiang, S. M., Lee, Y. H., Su, H. M. and Tzou, Y. P. (2010). Efficiency tests of foreign exchange markets for four Asian countries. Research in International Business and Finance, 24, 284-294. https://doi.org/10.1016/j.ribaf.2010.01.001
10. Çiçek, M. (2014). A cointegration test for Turkish foreign exchange market efficiency. Asian Economic and Financial Review, 4(4), 451-471. Retrieved from http://www.aessweb.com/journals/5002
11. Degutis, A. and Novickytė, L. (2014). The efficient market hypothesis: A critical review of literature and methodology. Ekonomika, 93(2), 7-23. https://doi.org/10.15388/Ekon.2014.2.3549
12. Dutt, S. D. and Ghosh, D. (1999). An empirical examination of exchange market efficiency. Applied Economics Letters, 6, 89-91. https://doi.org/10.1080/135048599353690
13. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflations. Econometrica, 50(4), 987-1007. https://doi.org/10.2307/1912773
14. Ertekin, B. (2003). Rassal yürüyüş hipotezi ve döviz piyasalarının etkinliğinin araştırılması (Yayımlanmamış Yüksek Lisans Tezi). Marmara Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
15. Escanciano, J. C. and Velasco, C. (2006). Generalized spectral tests for the martingale difference hypothesis. Journal of Econometrics, 134(1), 151-185. https://doi.org/10.1016/j.jeconom.2005.06.019
16. Fama, E. F. (1965). The behavior of stock market prices. Journal of Business, 38, 34-105. Retrieved from https://www.jstor.org/journal/jbusiness
17. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical works. The Journal of Finance, 25(2), 383-417. https://doi.org/10.2307/2325486
18. Gyamfi, E. N., Kyei, K. A. and Gill, R. (2016). African stock markets and return predictability. Journal of Economics and Behavioral Studies, 8(5), 91-99. https://doi.org/10.22610/jebs.v8i5(J).1434
19. Ibrahim, J., Long, Y., Ghani, H. and Salleh, S. I. M. (2011). Weak-form efficiency of foreign exchange market in the organization for economic cooperation and development countries: Unit root test. International Journal of Business and Management, 6(6), 55-65. https://doi.org/10.5539/ijbm.v6n6p55
20. Iyke, B. N. (2019). A test of the efficiency of the foreign exchange market in Indonesia. Bulletin of Monetary Economics and Banking, 22(12), 439-464. https://doi.org/10.21098/bemp.v0i0.976
21. Jarque, C. M. and Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255-259. https://doi.org/10.1016/0165-1765(80)90024-5
22. Karadağlı, E. C. and Omay, N. C. (2012). Testing weak form market efficiency of emerging markets: A nonlinear approach. Journal of Applied Economic Sciences, 7(3), 235-245. Retrieved from http://cesmaa.org/Extras/JAES
23. Katusiime, L., Shamsuddin, A. and Agbola, F. W. (2015). Foreign exchange market efficiency and profitability of trading rules: Evidence from a developing country. International Review of Economics & Finance, 35, 315-332. https://doi.org/10.1016/j.iref.2014.10.003
24. Korkmaz, T., Başaran, Ü. ve Çevik, E. İ. (2010). Yaz saati uygulaması anomalisinin İMKB 100 endeks getirisine etkisinin test edilmesi. Ege Akademik Bakış, 10(4), 1139-1153. Erişim adresi: https://dergipark.org.tr/tr/pub/eab
25. Kulalı, İ. (2016). Etkin piyasalar hipotezi ve davranışsal finans çatışması. Finans ve Bankacılık Çalışmaları Dergisi, 5(2), 46-57. https://doi.org/10.20525/ijfbs.v5i2.123
26. Kurtaran, A. T., Kurtaran, A. ve Çelik, M. K. (2018). Zayıf formda piyasa etkinliğinin Türkiye hisse senedi piyasasında test edilmesi [Özel Sayı]. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 457-474. https://doi.org/10.18092/ulikidince.456639
27. Lajaunie, J. P. and Naka, A. (1992). Is the Tokyo spot foreign exchange market consistent with the efficient market hypothesis? Review of Financial Economics, 2(1), 68-74. https://doi.org/10.1002/j.1873-5924.1992.tb00557.x
28. Lazar, D., Todea, A. and Filip, D. (2012). Martingale difference hypothesis and financial crisis: Empirical evidence from European emerging foreign exchange markets. Economic Systems, 36, 338-350. https://doi.org/10.1016/j.ecosys.2012.02.002
29. Mabakeng, M. E. P. and Sheefeni, J. P. S. (2014). Examining the weak form efficiency in foreign exchange market in Namibia. International Review of Research in Emerging Markets and the Global Economy, 1(4), 174-187. Retrieved from http://globalbizresearch.org/emergingmarkets/
30. Malkiel, B. G. (2003). The efficient market hypothesis and its critics. Journal of Economic Perspectives, 17(1), 59-82. https://doi.org/10.1257/089533003321164958
31. Matebejana, G., Motlaleng, G. and Juana, J. (2017). Foreign exchange market efficiency in Botswana. Review of Economic and Business Studies, 10(1), 103-125. https://doi.org/10.1515/rebs-2017-0050
32. Mohamed, M. S. and Banu, M. A. S. (2015). Study on weak-form efficiency of foreign exchange markets of developing economies: Some India evidence. International Journal of Management, 6(1), 331-342. Retrieved from http://www.iaeme.com/Ijm/index.asp
33. Özdemir, A., Vergili, G. ve Çelik, İ. (2018). Döviz piyasalarının etkinliği üzerinde uzun hafızanın rolü: Türk döviz piyasasında ampirik bir araştırma. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 12(1), 87-107. Erişim adresi: https://dergipark.org.tr/tr/pub/bddkdergisi
34. Phillips, P. C. B. and 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
35. Said, S. E. and Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599-607. https://doi.org/10.1093/biomet/71.3.599
36. Samuelson, P. A. (1965). Proof that properly anticipated prices fluctuate randomly. Industrial Management Review, 6, 41-49. Retrieved from https://www.worldcat.org
37. Serbinenko, A. and Rachev, S. T. (2009). Intraday spot foreign exchange market. Analysis of efficiency, liquidity and volatility. Investment Management and Financial Innovations, 6(4), 35-45. Retrieved from https://businessperspectives.org/journals/investment-management-and-financial-innovations
38. Sifunjo, K. E., Ngugi, R. W., Pokhariyal, G. and Wainaina, G. (2008). An analysis of the efficiency of the foreign exchange market in Kenya. Economics Bulletin, 14(2), 1-13. Retrieved from http://www.accessecon.com/pubs/eb/
39. Tweneboah, G., Amanfo, A. N. and Kumah, S. P. (2013). Evidence of market inefficiency and exchange rate predictability in Ghana. Ghanaian Journal of Economics, 1(1), 51-66. Retrieved from https://journals.co.za/content/journal/ghajecon
40. Wickremasinghe, G. (2004). Efficiency of foreign exchange markets: A developing country perspective. SSRN Electronic Journal, 10(1), 1-25. https://dx.doi.org/10.2139/ssrn.609285
41. Wickremasinghe, G. B. and Kim, J. H. (2008). Weak-form efficiency of foreign exchange markets of developing economies: Some Sri Lankan evidence. Journal of Emerging Market Finance, 7(2), 169-196. https://doi.org/10.1177%2F097265270800700203