Dergiler / Central Bank Review / 2007 / Cilt: 7 - Sayı: 2

Long Memory in the Turkish Stock Market Return and Volatility

Sayfa
13–27
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The evidence of long memory in volatility, however, shows that uncertainty or risk is an important determinant of the behavior of daily stock data in the Turkish stock market.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This paper examines the dual long memory property of the Turkish stock market.
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Temel Bulgular & Veri:The data set consists of daily returns, and long memory tests are carried out both for the returns and volatility.
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Sonuç & Katkı:The evidence of long memory in volatility, however, shows that uncertainty or risk is an important determinant of the behavior of daily stock data in the Turkish stock market.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

This paper examines the dual long memory property of the Turkish stock market. The data set consists of daily returns, and long memory tests are carried out both for the returns and volatility. The results indicate that long memory dynamics in the returns and volatility might be modeled by using the ARFIMA-FIGARCH model. The results of the ARFIMAFIGARCH model show strong evidence of long memory in both returns and volatility. The long memory in returns implies that stock prices follow a predictable behavior, which is inconsistent with the efficient market hypothesis. The evidence of long memory in volatility, however, shows that uncertainty or risk is an important determinant of the behavior of daily stock data in the Turkish stock market.

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Bu Makaleye Atıf Yap

KASMAN, A., TORUN, E. (2007). Long Memory in the Turkish Stock Market Return and Volatility. Central Bank Review, Cilt: 7 - Sayı: 2, 13–27. https://ajindex.com/articles/151729

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Kaynakça (19)

  1. Andersen, T.G., Bollerslev, T., Diebold, F. X. and Labys, P. 2001. The distribution of realized exchange rate volatility, Journal of the American Statistical Association, 96, 42–55.
  2. Assaf, A. 2006. Dependence and mean reversion in stock prices: The case of the MENA region, Research in International Business and Finance, 20, 286–304.
  3. Assaf, A. and Cavalcante, J. 2005. Long range dependence in the returns and volatility of the Brazilian stock market, European Review of Economics and Finance, 5, 5–20.
  4. Baillie, R.T., Bollerslev, T. and Mikkelsen, H.O. 1996. Fractionally integrated generalized autoregressive conditional heteroscedasticity, Journal of Econometrics, 74, 3–30.
  5. Barkoulas, J.T. and Baum C.F. 1996. Long term dependence in stock returns, Economics Letters, 53,253–259.
  6. Barkoulas, J.T., Baum, C.F. and Travlos, N. 2000. Long memory in the Greek stock market, Applied Financial Economics, 10, 177-184.
  7. Bhardwaj, G. and Swanson, N.R. 2006. An Empirical Investigation of the Usefulness of ARFIMA Models for Predicting Macroeconomic and Financial Time Series, Journal of Econometrics, 131, 539-578.
  8. Cheung, Y.W. 1993. Tests for fractional integration: A Monte Carlo investigation, Journal of Time Series Analysis, 14, 331-45.
  9. Cheung, Y. and Lai K. 1995. A Search for Long Memory in International Stock Market Returns, Journal of International Money and Finance, 14, 597-615.
  10. Crato, N. 1994. Some international evidence regarding the stochastic behavior of stock returns, Applied Financial Economics, 4, 33–39.
  11. Floros, C., Jaffry, S. and Lima, G.V. 2007. Long memory in the Portuguese stock market, Studies in Economics and Finance, 24, 220-232.
  12. Gil-Alana, L.A. 2006. Fractional integration in daily stock market indexes, Review of Financial Economics, 15, 28–48.
  13. Granger, C. and R. Joyeux 1980. An Introduction to Long Memory Time Series Models and Fractional Differencing, Journal of Time Series Analysis, 1, 15-39.
  14. Henry, O.T. 2002. Long memory in stock returns: some international evidence, Applied Financial Economics, 12, 725–729.
  15. Hosking, J.R.M. 1981.
  16. Fractional differencing, Biometrika, 68, 165-176.
  17. Jacobsen, B. 1996. Long-term dependence in stock returns, Journal of Empirical Finance, 3, 393-417.
  18. Kang, H.S. and Yoon, S-M. 2007. Long memory properties in return and volatility: Evidence from the Korean stock market, Physica A, 385, 591-600.
  19. Kilic, R. 2004. On the long memory properties of emerging capital markets: evidence from Istanbul stock exchange, Applied Financial Econo