A long-run relationship between Eastern European stock markets? Cointegration and the 1997/98 crisis in emerging markets

1999 ◽  
Vol 135 (3) ◽  
pp. 454-479 ◽  
Author(s):  
Christian Jochum ◽  
Gebhard Kirchgässner ◽  
Mariusz Platek
Keyword(s):  
Emerging Markets ◽  
Stock Markets ◽  
Eastern European ◽  
Long Run ◽  
European Stock Markets

scholarly journals WTI OIL SHOCKS IN EASTERN EUROPEAN STOCK MARKETS: A VAR APPROACH

2021 ◽  
Author(s):  
Rui Dias ◽  
◽  
Hortense Santos ◽  
Paula Heliodoro ◽  
Cristina Vasco ◽  
...  
Keyword(s):  
Stock Markets ◽  
Oil Prices ◽  
Oil Price ◽  
Portfolio Diversification ◽  
Oil Shocks ◽  
Eastern European ◽  
Safe Haven ◽  
Wald Tests ◽  
Stock Indices ◽  
European Stock Markets

The 2020 Russia-Saudi Oil Price War was an economic war triggered in March 2020 by Saudi Arabia in response to Russia’s refusal to reduce oil production to keep oil prices at a moderate level. In view of these events, this study aims to analyze oil shocks (WTI) in the eastern European stock markets, namely the stock indices of Hungary (BUX), Croatia (CROBE), Russia (MOEX), Czech Republic (PRAGUE), Slovakia (SAX 16), Slovenia (SBI TOP), Bulgaria (SOFIX), from September 2019 to January 2021. The results show mostly structural breakdowns in March 2020, while the VAR Granger Causality/Block Exogeneity Wald Tests model shows two-way shocks between oil (WTI) and the stock markets analyzed. These findings show that the hypothesis of portfolio diversification may be called into question. As a final discussion, we consider that investors should avoid investments in stock markets, at least as long as this pandemic last, and rebalance their portfolios into assets considered “safe haven” for the purpose of mitigating risk and improving the efficiency of their portfolios.

Relationship between developed, European and South Asian stock markets: a multivariate analysis

2016 ◽  
Vol 5 (3) ◽  
pp. 385-402 ◽  
Author(s):  
Syed Jawad Hussain Shahzad ◽  
Memoona Kanwal ◽  
Tanveer Ahmed ◽  
Mobeen Ur Rehman
Keyword(s):  
South Asian ◽  
Portfolio Management ◽  
Stock Markets ◽  
Content Type ◽  
International Portfolio Diversification ◽  
Long Run ◽  
International Portfolio ◽  
Short Run ◽  
International Investors ◽  
European Stock Markets

Purpose The assessment of interdependence between stock markets is an important aspect of international portfolio management. The purpose of this paper is to examine and highlight the diversification potential of South Asian stock markets vis-à-vis developed and European stock markets. Design/methodology/approach The developed stocks markets include USA and UK, and South Asian stock markets include India, Pakistan and Sri Lanka while DJ STOXX 600 index is used to represent the European stock markets. Monthly data are used to examine long-run relationship through ARDL bound testing approach and estimates are obtained using DLOS. Short-term dynamics are captured through vector error correction-based Granger causality. Findings South Asian stock markets are closely linked with each other; similarly, developed/European markets are interlinked. US stock market not only impacts European stock markets, it also Granger cause South Asian stock markets. The findings suggest increase in comovement of South Asian stock markets with the global markets after financial crises of 2007-2008. Practical implications The diversification benefits of South Asian stock markets for international investors are still evident due to their low relationship (in both long and short run) with developed/European stock markets. Originality/value Given the emergence of South Asian stock markets, new insight on their relationship with developed stock markets can provide interesting findings for international portfolio diversification. The South Asian equity markets are an important source of investment because of their immense growth and weak correlation with international markets.

Comovement Dynamics between Central and Eastern European and Developed European Stock Markets during European Integration and Amid Financial Crises – A Wavelet Analysis

2012 ◽  
Vol 23 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Silvo Dajcman ◽  
Mejra Festic ◽  
Alenka Kavkler
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Financial Crises ◽  
Eastern European ◽  
Short Term ◽  
Market Return ◽  
Stock Market Return ◽  
Time Period ◽  
Developed Stock Markets ◽  
European Stock Markets

Stock market comovements between developed (represented in the article by markets of Austria, France, Germany, and the UK) and developing stock markets (represented here by three Central and Eastern European (CEE) markets of Slovenia, the Czech Republic, and Hungary) are of great importance for the financial decisions of international investors. From the point of view of portfolio diversification, short-term investors are more interested in the comovements of stock returns at higher frequencies (short-term movements), while long-term investors focus on lower frequencies comovements. As such, one has to resort to a time-frequency domain analysis to obtain insight about comovements at the particular time-frequency (scale) level. The empirical literature on the CEE and developed stock markets interdependence predominantly apply simple (Pearsons) correlation analysis, Granger causality tests, cointegration analysis, and GARCH modeling. None of the existent empirical studies examine time-scale comovements between CEE and developed stock market returns. By applying a maximal overlap discrete wavelet transform correlation estimator and a running correlation technique, we investigated the dynamics of stock market return comovements between individual Central and Eastern European countries and developed European stock markets in the period from 1997-2010. By analyzing the time-varying dynamics of stock market comovements on a scale-by-scale basis, we also examined how major events (financial crises in the investigated time period and entrance to the European Union) affected the comovement of CEE stock markets with developed European stock markets. The results of the unconditional correlation analysis show that the developed European stock markets of France, the UK, Germany and Austria were more interdependent in the observed period than the CEEs stock markets. The later group of countries exhibited a lower degree of comovement between themselves as well as with the developed European stock markets during all the observed time period. The Slovenian stock market was the least correlated with other stock markets. By using the rolling wavelet correlation technique, we wanted to answer the question as to how the correlation between CEE and developed stock markets changed over the observed period. In particular, we wanted to examine whether major economic (financial) and political events in the world and European economies (the Russian financial crisis, the dot-com financial crisis, the attack on the WTC, the CEE countries joining the European union, and the recent global financial crisis) have influenced the dynamics of CEE stock market comovements with developed European stock markets. The results show that stock market return comovements between CEE and developed European stock markets varied over time scales and time. At all scales and during the entire observed time period the Hungarian and Czech stock markets were more interconnected to developed European stock markets than the Slovenian stock market was. The highest comovement between the investigated CEE and developed European stock market returns was normally observed at the highest scales (scale 5, corresponding to stock market return dynamics over 32-64 days, and scale 6, corresponding to stock market return dynamics over 32-64 and 64-128 days). At all scales the Hungarian and Czech stock markets were more connected to developed European stock markets than the Slovenian stock market. We found that European integration lead to increased comovement between CEE and developed stock markets, while the financial crises in the observed period led only to short-term increases in stock market return comovements.DOI: http://dx.doi.org/10.5755/j01.ee.23.1.1221

scholarly journals AN ANALYSIS OF STOCK MARKET INTEGRATION IN THE ASIAN DEVELOPED AND EMERGING MARKETS

2021 ◽  
Vol 9 (3) ◽  
pp. 1175-1190
Author(s):  
Sadiq Rehman ◽  
Asif Ali Abro ◽  
Ahmed Raza Ul Mustafa ◽  
Najeeb Ullah ◽  
Sanam Wagma Khattak
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Stock Markets ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Short Term ◽  
Emerging Stock Markets ◽  
Long Run ◽  
Integration Test ◽  
Short Run

Purpose of the study: This study investigates Short-run, Long-run, and Casual relationships in the Asian Developed and Emerging stock market indices for the period of 19 years weekly data of stock market indices of Asian Developed and Emerging Markets which are Japan (Nikkei 225), South Korea (KOSPI), Pakistan (KSE 100), China (SSE Composite), Sri Lanka (ASPI), India (BSE 200) and Malaysia (KLSE composite) from January 2001 to December 2019. Methodology: To analyze long-run and short-run relationships among the Asian developed and emerging stock markets, this study practices Descriptive Statistics, Correlation Matrix, Unit Root Test, Johansen Co-Integration Test, Vector Error Correction Model, Granger Causality test, Variance Decomposition and Impulse Response Function (IRF). Main findings: By employing the ADF and P.P. tests, the results specify that the entire variables' data are non-stationary and stationary in exact order, which is 1st difference. The Johnson Co-integration test found one cointegration relationship, where the results are consistent with Granger causality, Variance Decomposition, and Impulse Response Function (IRF). Application of the study: As the current research has focused on finding out the comovements in the Asian developed and emerging markets. So, the applications are that the survey found short-run and long-run relationships in these countries' stock markets. The study's originality: The current study has selected seven Asian developed and emerging stock markets and weekly updated time series data to investigate short-term and long-term linkages. So, this study found long-run comovements in these stock indices, which contributes to the literature. In addition, these stock markets have limited diversification benefits for international investors, while short-term diversification benefits may exist.

scholarly journals The relationship between stock markets of major developed countries and Asian emerging markets

2004 ◽  
Vol 8 (4) ◽  
pp. 201-218 ◽  
Author(s):  
Wing-Keung Wong ◽  
Jack Penm ◽  
Richard Deane Terrell ◽  
Karen Yann Ching Lim
Keyword(s):  
Emerging Markets ◽  
Stock Markets ◽  
International Diversification ◽  
Developed Countries ◽  
Stock Market Crash ◽  
Emerging Stock Markets ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Asian Emerging Markets ◽  
The Relationship

With the emergence of new capital markets and liberalization of stock markets in recent years, there has been an increase in investors' interest in international diversification. This is so because international diversification allows investors to have a larger basket of foreign securities to choose from as part of their portfolio assets, so as to enhance the reward-to-volatility ratio. This benefit would be limited if national equity markets tend to move together in the long run. This paper thus studies the issue of co-movement between stock markets in major developed countries and those in Asian emerging markets using the concept of cointegration. We find that there is co-movement between some of the developed and emerging markets, but some emerging markets do differ from the developed markets with which they share a long-run equilibrium relationship. Furthermore, it has been observed that there has been increasing interdependence between most of the developed and emerging markets since the 1987 Stock Market Crash. This interdependence intensified after the 1997 Asian Financial Crisis. With this phenomenon of increasing co-movement between developed and emerging stock markets, the benefits of international diversification become limited.

scholarly journals Commonality in Liquidity Indices: The Emerging European Stock Markets

Systems ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 24 ◽  
Author(s):  
Barbara Będowska-Sójka ◽  
Krzysztof Echaust
Keyword(s):  
Emerging Markets ◽  
Stock Markets ◽  
Low Frequency ◽  
Price Changes ◽  
Large Market ◽  
Volatility Index ◽  
European Stock Markets

The aim of the paper is to examine commonality in liquidity indices across emerging European stock markets. Five markets are included in the study: Hungarian, Czech, Polish, Russian and Turkish, in the period from 2008 to 2017. We propose liquidity indices that are based on low-frequency liquidity proxies and capture both the dynamics coming from volume and price changes. We find strong commonality of the liquidity indices across all examined markets which is robust to the choice of liquidity proxy. The dependence between indices enhances in times of crisis and large market declines, and weakens when markets become stable. We also examine the interdependency between liquidity and volatility estimates and find that liquidity on the European emerging markets is related to CBOE Volatility Index (VIX). Liquidity in the whole region decreases when VIX increases, and vice versa. The liquidity indices based on the extreme market movements show that there are no differences in commonality in time of extreme negative and positive returns.

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