Journals / Ekoist: Journal of Econometrics and Statistics / 2022 / Sayı: 37

Analyzing the Efficient Market Hypothesis with the Structural Break and Nonlinear Unit Root Tests: An Application on Borsa Istanbul

Etkin Piyasa Hipotezinin Yapısal Kırılmalı ve Doğrusal Olmayan Birim Kök Testleri ile Analizi: Borsa Istanbul Üzerine Bir Uygulama

Pages
257–282
Publication Date
2022-12-29
DOI
—
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AI Summary & Key Takeaways

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

According to the findings, the BIST100 market index has been concluded to show a random walk at all frequencies in the relevant period (i.e., it has weak form efficiency).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The literature on finance defines the concept of an efficient market as a market where information about securities is instantly reflected in prices.
📊
Key Findings & Data:The aim of this study is to test within the framework of information efficiency the weak-form efficiency market hypothesis using statistical tests with daily, weekly, and monthly frequencies for the BIST100 index over the period of October 2011-October 2021.
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Conclusion & Impact:According to the findings, the BIST100 market index has been concluded to show a random walk at all frequencies in the relevant period (i.e., it has weak form efficiency).
🔬Design:Research Article
📍Scope:2011 Verileri
⚙️Variables:zayıf formda etkin piyasa · rastgele yürüyüş · doğrusal olmayan birim kök testi

Abstract

The literature on finance defines the concept of an efficient market as a market where information about securities is instantly reflected in prices. Investors who trade on efficient markets cannot obtain abnormal returns. All market participants are assumed to have instant access to the information coming to the market, with everyone knowing the same information. The aim of this study is to test within the framework of information efficiency the weak-form efficiency market hypothesis using statistical tests with daily, weekly, and monthly frequencies for the BIST100 index over the period of October 2011-October 2021. The study uses the runs test, variance ratio test, unit root tests, structural break unit root tests, and nonlinear unit root tests to test weak form efficiency for this period. According to the findings, the BIST100 market index has been concluded to show a random walk at all frequencies in the relevant period (i.e., it has weak form efficiency).

Özet

Finans literatüründe menkul kıymetlerle ilgili bilgilerin anında fiyatlara yansıdığı piyasa kavramı etkin piyasa olarak tanımlanmaktadır. Etkin bir piyasada işlem yapan yatırımcılar anormal getiri elde edememektedir. Tüm piyasa katılımcılarının piyasaya gelen bilgilere anında ulaştığı ve herkesin aynı bilgiyi bildiği varsayılmaktadır. Bilgi etkinliği çerçevesinde, bu çalışmanın amacı, piyasa türlerinden biri olan zayıf formda etkin piyasa hipotezini BİST100 endeksi için 2011:10-2021:10 döneminde günlük, haftalık ve aylık frekanslarda istatistiki testler ile test etmektir. Çalışmada, söz konusu döneme ait verilerin zayıf formda etkinlik sınaması için runs testi, varyans oran testi, geleneksel birim kök testleri, yapısal kırılmalı birim kök testleri ve doğrusal olmayan birim kök testi kullanılmaktadır. Çıkan bulgulara göre, ilgili dönemde BİST100 piyasa endeksininin tüm frekanslarda rassal yürüyüş gösterdiği yani zayıf formda etkin olduğu sonucuna varılmaktadır.

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Cite This Article

ÖZDEMİR, M. (2022). Analyzing the Efficient Market Hypothesis with the Structural Break and Nonlinear Unit Root Tests: An Application on Borsa Istanbul. Ekoist: Journal of Econometrics and Statistics, Sayı: 37, 257–282. https://ajindex.com/articles/877107

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References (14)

  1. Abraham, A., Seyyed, F. J., & Alsakran, S. A. (2002). Testing the random walk behavior and efficiency of the Gulf stock markets. Financial Review, 37(3), 469-480.
  2. Aga, M., & Kocaman, B. (2008). Efficient market hypothesis and emerging capital markets: empirical evidence from Istanbul stock exchange. Inüternational Research Journal of Finance and Economics, 13(1), 131-144.
  3. Aliyev, F. (2019). Testing market efficiency with nonlinear methods: Evidence from Borsa Istanbul. International Journal of Financial Studies, 7(2), 27. Al-Loughani, N., & Chappell, D. (1997). On the validity of the weak-form efficient markets hypothesis applied to the London stock exchange. Applied Financial Economics, 7(2), 173-176. Appiah‐Kusi, J., & Menyah, K. (2003). Return predictability in African stock markets. Review of financial economics, 12(3), 247-270.
  4. Bachelier, L. (1900). Théorie de la spéculation. In Annales scientifiques de l’École normale supérieure (Vol. 17, pp. 21-86).
  5. Buguk, C., & Brorsen, B. W. (2003). Testing weak-form market efficiency: Evidence from the Istanbul Stock Exchange. International review of financial analysis, 12(5), 579-590.
  6. Caner, M., & Hansen, B. E. (2001). Threshold autoregression with a unit root. Econometrica, 69(6), 1555-1596.
  7. Chan, K. C., Gup, B. E., & Pan, M. S. (1997). International stock market efficiency and integration: A study of eighteen nations. Journal of business finance & accounting, 24(6), 803-813.
  8. Chang, K. P., & Ting, K. S. (2000). A variance ratio test of the random walk hypothesis for Taiwan’s stock market. Applied Financial Economics, 10(5), 525-532.
  9. Choudhry, T. (1994). Stochastic trends and stock prices: an international inquiry. Applied Financial Economics, 4(6), 383-390.
  10. Christiano, L. J. (1992). Searching for a Break in GNP. Journal of Business & Economic Statistics, 10(3), 237-250.
  11. Cooray, A., & Wickremasinghe, G. (2007). The efficiency of emerging stock markets: Empirical evidence from the South Asian region. The Journal of Developing Areas, 171-183.
  12. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431.
  13. Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: journal of the Econometric Society, 1057-1072.
  14. Fama, E. F., & French, K. R. (1988). Permanent and temporary components of stock prices. Journal of political Econom