Mean Reversion across National Stock Markets and Parametric Contrarian Investment Strategies

CFA Digest ◽  
2000 ◽  
Vol 30 (4) ◽  
pp. 64-65
Author(s):  
Roger Ignatius
Keyword(s):  
Stock Markets ◽  
Mean Reversion ◽  
Investment Strategies

Mean Reversion across National Stock Markets and Parametric Contrarian Investment Strategies

2000 ◽  
Vol 55 (2) ◽  
pp. 745-772 ◽  
Author(s):  
Ronald Balvers ◽  
Yangru Wu ◽  
Erik Gilliland
Keyword(s):  
Stock Markets ◽  
Mean Reversion ◽  
Investment Strategies

The effects of mean reversion on alternative investment strategies

2006 ◽  
Vol 32 (1) ◽  
pp. 14-38 ◽  
Author(s):  
Kathryn A. Wilkens ◽  
Jean L. Heck ◽  
Steven J. Cochran
Keyword(s):  
Mean Reversion ◽  
Investment Strategies ◽  
Alternative Investment

Risk connectedness of selected CESEE stock markets: a spillover index approach

2019 ◽  
Vol 10 (4) ◽  
pp. 447-472 ◽  
Author(s):  
Tihana Škrinjarić ◽  
Boško Šego
Keyword(s):  
Empirical Analysis ◽  
Stock Markets ◽  
Investment Strategies ◽  
Content Type ◽  
Index Approach ◽  
Dynamic Portfolio ◽  
International Investors ◽  
Developed Stock Markets ◽  
The Empirical Analysis ◽  
Over Time

Purpose The purpose of this paper is to empirically evaluate risk spillovers between selected CESEE (Central, Eastern and South-Eastern Europe) stock markets in order to evaluate the possibilities of an international diversification of a portfolio. Design/methodology/approach The VAR model and the Diebold and Yilmaz (2009, 2012) spillover index are used, with rolling indices estimation over time in order to observe dynamics, which is important for investment strategies. Data are monthly and include selected CESEE stock market indices which were available to the researcher. Findings The empirical analysis for the period of January 2012–June 2019 indicates that some country risks were the net emitter of shocks in the system (Slovenia and Czech Republic), whereas some were net receivers (Croatia and Ukraine). The results are robust with respect to changing the length of the rolling window analysis, which means that investors could utilize such an approach in a dynamic portfolio selection. Research limitations/implications Observing only selected markets due to data (un)availability. Practical implications The paper shows how international investors can utilize the aforementioned methodology in order to make a more detailed analysis of the dynamics of stock markets connectedness so that international portfolios can be rebalanced according to the results and investors’ preferences. Originality/value This is the first such research which focuses on CESEE countries, since existing research is focused on more developed stock markets. Moreover, the empirical analysis extends to commenting the pairwise net indices over time, which is important for the dynamic portfolio rebalancing over time.

scholarly journals Measuring Information Asymmetry in Large Active Firms on the Tehran Stock Exchange

2016 ◽  
Vol 63 (3) ◽  
pp. 333-346
Author(s):  
Mostafa Shamsoddini ◽  
Mohammad N. Shahiki Tash ◽  
Farhad Khodadad-Kashi
Keyword(s):  
Firm Performance ◽  
Financial Markets ◽  
Information Asymmetry ◽  
Stock Markets ◽  
Stock Exchange ◽  
Composite Index ◽  
Financial Information ◽  
Investment Strategies ◽  
Information Measuring ◽  
Informational Environment

In financial markets, transparency of financial information is one of the most effective variables of investment strategies. Information asymmetry can seriously affect firm performance on the stock exchange and firms with a poor informational environment can lose the interest of investors. Reducing information asymmetry can have an important effect on firm performance on the stock exchange. Firms may lack a clear informational environment in the market because of the emerging conditions governing the Tehran Stock Exchange. Because larger and more active firms on the Tehran Stock Exchange provide more information, measuring the informational environment of these firms provides an overview of information asymmetry. The present study calculated the information asymmetry in these firms using the PIN and FE indices. The inconsistent results provided by these indices prompted the authors to offer a new index that is a composite of the PIN and FE that can better explain information asymmetry in developing market such as Asian stock markets. The results show that the new composite index, by using the mechanisms of the PIN and FE indices, provides a better outcome. The new composite index shows that the Tosee Melli Inv (TMEL1), Mobarakeh Steel (FOLD1), Iran Mobil Tele (HMRZ1), Saipa (SIPA1) and I.N.C. Ind. (MSMI1) firms have a better informational environment on the Tehran Stock Exchange.

scholarly journals The effects of volatility and changes in conditional correlations in the stock markets of Russia and developed countries

2020 ◽  
Vol 65 (227) ◽  
pp. 67-94
Author(s):  
Oleg Salmanov ◽  
Natalia Babina ◽  
Marina Samoshkina ◽  
Irina Drachena ◽  
Irina Salmanova
Keyword(s):  
Stock Markets ◽  
Statistical Significance ◽  
Developed Countries ◽  
Investment Strategies ◽  
Russian Market ◽  
The Us ◽  
The Usa ◽  
International Portfolios ◽  
Russian Stock Market ◽  
The Uk

The aim of this article is to identify patterns of profitability volatility and to establish the degree of dynamic conditional correlation between the stock markets of developed countries and those of Russia. This issue is important for investment strategies and the international diversification of investments. We use the BEKK-GARCH, CCC-GARCH, and DCCGARCH models and show that the correlation between the Russian stock market and the markets of the USA, UK, Germany, and France has decreased significantly in recent years. We find that while the correlation between the Russian market and the mature European markets is bidirectional, the relationship between the US market and the Russian market is unidirectional. An assessment of the transfer of volatility from all of the mature markets to the Russian market establishes its statistical significance and shows that feedback from the Russian market to the UK and German markets is insignificant. Diversification of international portfolios in the Russian market is recommended.

Forecasting Stock Market Volatility: Evidence from Six Emerging Markets

2013 ◽  
Vol 14 (2) ◽  
pp. 68-93
Author(s):  
Naliniprava Tripathy ◽  
Ashish Garg
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Stock Price ◽  
Market Volatility ◽  
Future Market ◽  
Investment Strategies ◽  
Stock Market Volatility ◽  
Efficient Management ◽  
Asymmetric Garch

This paper forecasts the stock market volatility of six emerging countries by using daily observations of indices over the period of January 1999 to May 2010 by using ARCH, GARCH, GARCH-M, EGARCH and TGARCH models. The study reveals the positive relationship between stock return and risk only in Brazilian stock market. The analysis exhibits that the volatility shocks are quite persistent in all country’s stock market. Further the asymmetric GARCH models find a significant evidence of asymmetry in stock returns in all six country’s stock markets. This study confirms the presence of leverage effect in the returns series and indicates that bad news generate more impact on the volatility of the stock price in the market. The study concludes that volatility increases disproportionately with negative shocks in stock returns. Hence investors are advised to use investment strategies by analyzing recent and historical news and forecast the future market movement while selecting portfolio for efficient management of financial risks to reap benefits in the stock markets.

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