Journals / Ege Akademik Bakış Dergisi / 2006 / Cilt: 6 - Sayı: 2

AN EMPIRICAL ANALYSIS OF TRADING VOLUME AND RETURN VOLATILITY RELATIONSHIP IN THE TURKISH STOCK MARKET

Pages
115–125
Publication Date
2006-10-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The results indicate that trading volume significantly contributes to the return volatility process of stocks in Turkish stock market, as suggested in many studies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper investigates the volume-return volatility relationship for 25 individual stocks in the Turkish stock market, using daily data for the period 1998-2005.
📊
Key Findings & Data:The results indicate that trading volume significantly contributes to the return volatility process of stocks in Turkish stock market, as suggested in many studies.
💡
Conclusion & Impact:These results are consistent with the empirical findings of a number of studies in emerging markets, including with those done in Turkish stock market.
🔬Design:Research Article
📍Scope:2005 Verileri
⚙️Variables:Domain Parameters

Abstract

This paper investigates the volume-return volatility relationship for 25 individual stocks in the Turkish stock market, using daily data for the period 1998-2005. The results indicate that trading volume significantly contributes to the return volatility process of stocks in Turkish stock market, as suggested in many studies. On the other hand, the results also signify that the trading volume has no significant effect on the reduction of the volatility persistence for majority of stocks in the sample, challenging the presence of “Mixed Distribution Hypothesis” in Turkish stock market. These results are consistent with the empirical findings of a number of studies in emerging markets, including with those done in Turkish stock market.

Özet

Bu çalışmada, 1998-2005 dönemi günlük veriler kullanılarak Türk hisse senedi piyasasında işlem gören 25 hisse senedi için işlem hacmi ve getiri volatilitesi ilişkisi incelenmiştir. Çalışma sonuçları, diğer birçok çalışma bulguları ile paralellik gösterecek şekilde, işlem hacminin Türk hisse senedi piyasasında hisselerin getiri volatilite süreçlerini anlamlı bir şekilde etkilediğini göstermektedir. Öte yandan, sonuçlar, aynı zamanda, işlem hacminin birçok hisse senedinin volatilite sürekliliğinin azalmasında önemli bir etkisi olmadığını da ortaya koymaktadır. Bu sonuç, Türk hisse senedi piyasasında “Karışık Dağılımlar Hipotezi”nin geçerli olmadığına işaret etmektedir. Elde edilen sonuçlar, Türk hisse senedi piyasası da dahil olmak üzere, gelişmekte olan ülkelerde yapılan birçok çalışma sonucu ile tutarlılık göstermektedir

🔖

Cite This Article

BAKLACI, H., KASMAN, A. (2006). AN EMPIRICAL ANALYSIS OF TRADING VOLUME AND RETURN VOLATILITY RELATIONSHIP IN THE TURKISH STOCK MARKET. Ege Akademik Bakış Dergisi, Cilt: 6 - Sayı: 2, 115–125. https://ajindex.com/articles/752379

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. ADMATI, A. R. ve PFLEIDERER, P. (1988): “A theory of intraday patterns: volume and price variability”, Review of Financial Studies, 1, 3-40.
  2. AHMED, H. J. A., HASSAN, A. ve NASIR, A. M. D. (2005): “The Relationship between Trading Volume, Volatility and Stock market Returns: A Test of Mixed Distribution Hypothesis for a Preand Post Crisis on Kuala Lumpur Stock Exchange”, Investment Management and Financial Innovations, 3, 146-158.
  3. ANDERSEN, Torben G. (1996): “Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility”, Journal of Finance, 51, 169-204.
  4. BALABAN, Ercan. (1995): “Day of the week effects: new evidence from an emerging stock market”, Applied Economics Letters, 2, 139-143.
  5. BASCI, Erdem, OZYILDIRIM K. ve AYDOGAN Kursat. (1996): “A Note on PriceVolume Dynamics in an Emerging Stock Market.”, Journal of Banking and Finance, 20, 389-400.
  6. BOHL, Martin ve HENKE H. (2003): “Trading volume and stock market volatility: The Polish case”, International Review of Financial Analysis, 153, 1-13.
  7. BOLLERSLEV, Tim. (1986): “Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 31, 307-327.
  8. BRAILSFORD, Timothy J. (1994): “The Empirical relationship Between Trading Volume, Returns and Volatility”, Research Paper, Department of Accounting and Finance, University of Melbourne, No: 1994-01, 1-33.
  9. BROCK, William A. ve LEBARON, Blake D. (1996): “A Dynamic Structural Model for Stock Return Volatility and Trading Volume”, Review of Economics and Statistics, 78, 94-110.
  10. CHEN, Gong-Meng, FIRTH, Michael ve RUI Oliver M.(2001): “The Dynamic Relation Between Stock Returns, Trading Volume, and Volatility”, Financial Review, 36, 153-174.
  11. CLARK, P. (1973): “A subordinated stochastic process model with finite variance for speculative prices”, Econometrica, 91,135-156.
  12. DICKEY, David A.ve FULLER, Wayne A. (1979): “Distribution of the Estimators for Autoregressive Time Series With a Unit Root.”, Journal of the American Statistical Association, 427-431.
  13. ENGLE, Robert F. (1982): “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation”, Econometrica, 50, 987-1008.
  14. FOSTER, Douglas F. ve VISWANATHAN, S. (1993): “Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models”, Journal of Finance, 48, 187-211.
  15. GALLAGHER, Liam ve KIELY, Daniel. (2005): “Volume and GARCH Effects for Dual-Listed Equities: Evidence from Irish Equit