İSTANBUL MENKUL KIYMETLER BORSASI’NDA ETKİN PİYASA HİPOTEZİNİN UZUN HAFIZA MODELLERİ İLE ANALİZİ: SEKTÖREL BAZDA BİR İNCELEME

Öz

Anahtar Kelimeler

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İSTANBUL MENKUL KIYMETLER BORSASI’NDA ETKİN PİYASA HİPOTEZİNİN UZUN HAFIZA MODELLERİ İLE ANALİZİ: SEKTÖREL BAZDA BİR İNCELEME

Öz

Bu çalışmada İstanbul Menkul Kıymetler Borsası’nda (İMKB) etkin piyasa hipotezinin geçerli olup olmadığı parametrik ve yarı parametrik yöntemler ile araştırılmıştır. Zayıf formda etkin piyasa hipotezinin varlığını belirleyebilmek için 10 sektör endeksi dikkate alınmıştır. Yarı parametrik ve parametrik uzun hafıza model sonuçları sektörlere ait endeks getirilerinin oynaklığının uzun hafıza özelliği gösterdiğini belirtmektedir. Buna bağlı olarak İMKB’nin etkin bir piyasa olmadığı ifade edilebilir

Anahtar Kelimeler

• İMKB, Etkin Piyasa Hipotezi, Uzun Hafıza, FIGARCH, Local Whittle Tahminci

Kaynakça

1. Agiakoglu, C., Newbold, P., ve Wohar, M. (1993), Bias in an estimator of the fractional difference parameter. Journal of Time Series Analysis, 14, 235-246.
2. Assaf, A. (2007). Fractional integration in the equity markets of MENA region. Applied Financial Economics, 17, 709-723.
3. Atan, M., Özdemir, Z. A., Duman, S., Kayacan, M., ve Boztosun, D. (2006). İMKB’nin etkinlik düzeyinin zaman serisi ekonometrisi ile analizi. www.finansbilim.com/ufs2006/ Makaleler/IMKBNINETKINLIK.pdf (Erişim Tarihi, 22 Mart 2007)
4. Baillie, R.T., Bollerslev, T., ve Mikkelsen, H.O. (1996). Fractionally integrated generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 74, 3-30.
5. Balaban, E. (1995). Informational efficiency of the Istanbul securities exchange and some rationale for public regulation. The Central Bank of Republic of Turkey, Research Department, No: 9502.
6. Balaban, E., Candemir, H. B., ve Kunter, K. (1996). Stock market efficiency in a developing economy: evidence from Turkey. The Central Bank of the Republic Of Turkey, Research Department, No: 9612
7. Barkoulas, J., Labys, W.C., ve Onochie, J.I. (1999). Long memory in future prices. The Financial Review, 34, 91- 100.
8. Barkoulas, J.T., Baum, C.F., ve Travlos, N. (2000). Long memory in the Greek stock market. Applied Financial Economics, 10, 177-184.

9. Blasco, N., ve Santamaria, R. (1996). Testing memory patterns in the Spanish stock market. Applied Financial Economics, 6, 401-411.
10. Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 31, 307-327.
11. Cajueiro, D.O., ve Tabak, B.M. (2006). The long-range dependence phenomena in asset returns: the Chinese case. Applied Economics Letters, 13, 131-133.
12. Caporale, G.M., ve Gil-Alana, L.A. (2004). Long range dependence in daily stock returns. Applied Financial Economics, 14, 375-383.
13. Christodoulou-Volos, C., ve Siokis, F.M. (2006). Long range dependence in stock market returns. Applied Financial Economics, 16, 1331-1338.
14. Disario, R., Saraoglu, H., McCarthy, J., ve Li, H. (2008). Long memory in the volatility of an emerging equity market: the case of Turkey. International Financial Markets, Institutions ve Money, 18 (5), 305-312.
15. Elder, J., ve Serletis, A. (2007). On fractional integrating dynamics in the US stock market. Chaos, Solitons and Fractals, 34, 777-781.
16. Engle, R.F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of UK Inflation. Econometrica, 50, 987–1008.
17. Fama, F.E. (1970). Efficient capital markets: a review of theory and empirical work. The Journal of Finance, 25(2), 383-417.
18. Geweke, J., ve Porter-Hudak, S. (1983). The estimation and application of long memory time series models. Journal of Time Series Analysis, 4, 221-238.
19. Gil-Alana, L. (2006). Fractional integration in daily stock market indexes. Review of Financial Economics, 15, 28- 48.
20. Granger, C.W.J., ve Joyeux, R. (1980). An introduction to long memory time series models and fractional differencing. Journal of Time Series Analysis, 1, 15-39.
21. Hosking, J.R.M. (1981). Fractional differencing. Biometrika, 68, 165-76.
22. Hurst, H. (1951). Long term storage capacity of reservoirs. Transactions of the American Society of Civil Engineers, 116, 770-780.
23. Hurvich, C., Deo, R. ve Brodsky, J. (1998). The Mean Squared Error of Geweke and Porter-Hudak’s Estimator of the Long Memory Parameter of a Long Memory Time Series. Journal of Time Series Analysis, 16, 17-41.
24. Kang, S.H., Cheong, C., ve Yoon, S-M. (2010). Long memory volatility in Chinese stock markets. Physica A, 389, 1425-133.
25. Kiliç, R. (2004). On the long memory properties of emerging capital markets: evidence from Istanbul stock exchange. Applied Financial Economics, 14, 915-922.
26. Kim, C.S., ve Phillips, P.C.B. (2000). Modified log-periodogram regression, Yale University Working Paper.
27. Korkmaz, T., ÇEVİK, E.İ., ve Özataç, N. (2009). Testing for long memory in ISE using ARFIMA-FIGARCH Model and structural break test. International Research Journal of Finance and Economics, 26. 186-191.
28. Künsch, H. (1987). Statistical aspects of self-similar processes. In Proc. First World Congress of the Bernoulli Society (Yu. Prokhorov and V. V. Sazanov, eds.) 1 67–74. VNU Science Press, Utrecht.
29. Kwiatkowski, D., Phillips, P.C.B, Schmidt, P., ve Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54, 159-178.
30. Lux, T., ve Kaizoji, T. (2007). Forecasting volatility and volume in the Tokyo stock market: long memory, fractality and regime switching. Journal of Economic Dynamics ve Control, 31, 1808-1843.
31. McMillan, D.G., ve Thupayagale, P. (2008). Efficiency of the South African equity market. Applied Financial Economics Letters, 1-4.
32. Phillips, P.C., ve Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335-346.
33. Phillips, P.C.B. (2007). Unit root log periodogram regression. Journal of Econometrics, 138, 104-124.
34. Resende, M., ve Teixeira, N. (2002). Permanent structural changes in the Brazilian economy and long memory: a stock market perspective. Applied Economics Letters, 9, 373-375.
35. Robinson, P.M. (1995). Gaussian semiparametric estimation of long range dependence. Annals of Statistics, 23, 1630–1661.
36. Shimotsu, K., ve Phillips, P.C.B. (2005). Exat Local Whittle estimation of fractional integration. The Annals of Statistics, 33, 1890-1933.
37. Shimotsu, K., ve Phillips, P.C.B. (2006). Local Whittle estimation of fractional integration and some of its variants. Journal of Econometrics, 130, 209-233.
38. Tolvi, J. (2003a). Long memory and outliers in stock market returns. Applied Financial Economics, 13, 495-502.
39. Tolvi, J. (2003b). Long memory in a small stock market. Economics Bulletin, 7, 1-13.
40. Vougas, D.V. (2004). Analysing Long memory and volatility of returns in the Athens stock exchange. Applied Financial Economics, 14, 457-460.
41. Wright, J.H. (2002). Log-periodogram estimation of long memory volatility dependencies with conditionally heavy tailed returns. Econometric Reviews, 21, 397-417.