Journals / Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi / 2020 / Cilt: 18 - Sayı: 2

Weak-Form Market Efficiency Comparison of Stock Markets on Global Scale: An Empirical Study on G-20 Members

Hisse Senedi Piyasalarının Zayıf Form Piyasa Etkinliğinin Küresel Ölçekte Karşılaştırılması: G-20 Üyeleri Üzerine Ampirik Bir Çalışma

Pages
327–338
Publication Date
2020-06-24
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)

It is also found that the return predictability periods of Japan, Australia, China, Saudi Arabia, and especially Mexico’s stock markets are higher than other markets and the chance of success in estimating returns by using historical price information in these markets is quite high.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper analyzes stock markets of G-20 members in terms of comparing return predictability, in other words, weak-form market efficiency using stock indexes weekly data of the G-20 members between 07.06.2009 and 09.02.2020.
📊
Key Findings & Data:As a result of the wild bootstrap automatic variance ratio test analysis developed by Kim (2009), it is found that the stock markets of Brazil, South Africa, and Germany were weak-form efficient in the date range within the scope of the study, so the returns are unpredictable, while the weak-form efficiency (return predictability) of other markets are time-varying.
💡
Conclusion & Impact:It is also found that the return predictability periods of Japan, Australia, China, Saudi Arabia, and especially Mexico’s stock markets are higher than other markets and the chance of success in estimating returns by using historical price information in these markets is quite high.
🔬Design:Research Article
📍Scope:2009 Verileri
⚙️Variables:Doğal Bootstrap Otomatik Varyans Rasyo Testi · Hisse Senedi Piyasaları · Etkin Piyasalar Hipotezi

Abstract

This paper analyzes stock markets of G-20 members in terms of comparing return predictability, in other words, weak-form market efficiency using stock indexes weekly data of the G-20 members between 07.06.2009 and 09.02.2020. As a result of the wild bootstrap automatic variance ratio test analysis developed by Kim (2009), it is found that the stock markets of Brazil, South Africa, and Germany were weak-form efficient in the date range within the scope of the study, so the returns are unpredictable, while the weak-form efficiency (return predictability) of other markets are time-varying. In addition to Brazil, South Africa, and Germany, there is a very low chance to estimate returns with historical price movements or returns in Russia, France, Italy, United States, United Kingdom, and Canada stock markets. It is also found that the return predictability periods of Japan, Australia, China, Saudi Arabia, and especially Mexico’s stock markets are higher than other markets and the chance of success in estimating returns by using historical price information in these markets is quite high.

Özet

Bu çalışma,G-20 üyelerini hisse senedi endekslerinin 07.06.2009 ve 09.02.2020 tarihleri arasındaki haftalık verilerini kullanarak G-20 üyelerinin hisse senedi piyasalarının getiri öngörülebilirliğini, diğer bir ifadeyle zayıf formdaki piyasa etkinliğini karşılaştırma açısından analiz etmektedir. Kim (2009) tarafından geliştirilen doğal bootstrap otomatik varyans oranı testi analizleri neticesinde, Brezilya, Güney Afrika ve Almanya hisse senedi piyasalarının çalışma kapsamındaki tarih aralığında zayıf formda etkin olduğu, dolayısıyla getirilerin öngörülemez olduğu, diğer piyasaların ise zayıf form etkinliğinin (getiri öngörülebilirliğin) periyodik olarak değiştiği bulunmuştur. Brezilya, Güney Afrika ve Almanya'ya ek olarak, Rusya, Fransa, İtalya, ABD, İngiltere ve Kanada hisse senedi piyasalarında tarihsel fiyat hareketleri veya getirileri ile getirilerin tahmin edilebilme şansı oldukça düşüktür. Ayrıca Japonya, Avustralya, Çin, Suudi Arabistan ve özellikle Meksika hisse senedi piyasalarının getiri öngörülebilirlik dönemlerinin diğer piyasalardan daha yüksek olduğu ve bu piyasalarda tarihsel fiyat bilgilerini kullanarak getiri tahmininde başarı şansının oldukça yüksek olduğu tespit edilmiştir.

🔖

Cite This Article

ÖZKAN, O. (2020). Weak-Form Market Efficiency Comparison of Stock Markets on Global Scale: An Empirical Study on G-20 Members. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, Cilt: 18 - Sayı: 2, 327–338. https://ajindex.com/articles/69486

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (7)

  1. Abrosimova, N., Dissanaike, G., & Linowski, D. (2002). Testing the weak- form efficiency of the Russian stock market. SSRN Working Paper, European Finance Association Conference. DOI: 10.2139/ssrn.302287 Arı, A., & Yüksel, Ö. (2017). BİST 100’de haftanın günü anomalisi: Ekonometrik bir analiz. Finans Politik & Ekonomik Yorumlar, 54(632), 77-89.
  2. Bayraktar, A. (2012). Etkin Piyasalar Hipotezi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 4(1), 37-47.
  3. 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. DOI: 10.1111/1468-5957.00134 Charles, A., Darné, O., & Kim, J. H. (2011). Small sample properties of alternative tests for martingale difference hypothesis. Economics Letters, 110, 151-154. DOI: 10.1016/j.econlet.2010.11.018 Charles, A., Darné, O., & Kim, J. H. (2015), Adaptive Markets Hypothesis for Islamic Stock Portfolios: Evidence from Dow Jones Size and Sector-indices. SSRN Working Paper. DOI: 10.2139/ssrn.2611472 Charles, A., Darné, O., & Kim, J. H. (2015). Will precious metals shine? A market efficiency perspective. International Review of Financial Analysis, 41, 284-291. DOI: 10.1016/j.irfa.2015.01.018 Choudhry, T. 1994. Stochastic trends and stock prices: An international inquiry. Applied Financial Economics, 4(6), 383-390. DOI: 10.1080/758518670 Dahel, R., & Laabas, B. (1999). The behavior of stock prices in the GCC markets. Journal of Development & Economic Policies, 1, 89-105.
  4. Degutis, A., & Novickytė, L. (2014). The efficient market hypothesis: A critical review of literature and methodology. Ekonomika, 93(2), 7-23.
  5. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflations. Econometrica, 50(4), 987-1007. DOI: 10.2307/1912773 Ergül, N. (2009). Ulusal Hisse Senetleri Piyasası’nda etkinlik. Yönetim Bilimleri Dergisi, 7(1), 101-117.
  6. Fama, E. F. (1965). The behaviour of stock market prices. Journal of Business, 38, 34-105.
  7. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25, 383-417. DOI: 10.2307/2325486 Gupta, R., & Basu, P. K. (2007). Weak-form efficiency in Indian stock markets. International Business & Economics Research Journal, 6(3), 57-64. DOI: 10.19030/iber.v6i3.3353 Gümüş, F. B., & Zeren, F. (2014). Analyzing The Efficient Market Hypothesis with the Fourier unit roo