Common stochastic trends and the dynamic linkages driving european stock markets: evidence from pre- and post-october 1987 crash eras

Given the impact of the October 1987 crash pre-empting fears of a deep-seated financial collapse, there is now much scope for assessing its importance quantitatively. In this paper, time series techniques are used to analyse the dynamic linkages and propagation of shocks among five European stock markets. While we do not find any long-run relationship of stock markets over the entire sample ped, evidence is found in support of a unique cointegrating vector over each of the pre- and post-crash samples. Furthermore, the dynamic analysis reveals that the lead–lag relationships changed quite significantly over the sample following the crash.     

Volatility Reversion and Correlation Structure of Returns in Major International Stock Markets

This paper investigates the stochastic behavior of weekly stock market returns in the U.S., Japan, and the U.K. during the period 1984 to 1994. The analysis is carried out using an augmented version of Bollerslev's [7] multivariate GARCH model with structural dummies to test for differences in the mean, volatility, and covariance structure of returns during the pre- and post-October 1987 crash periods. In addition, the paper explores the issue of the volatility reversion and time-varying behavior of correlation structure of returns in these markets. Mean-spillovers exist from the U.S. and Japan to the U.K. The magnitude of these spillovers is, however, low. Volatility spillovers exist from the U.S. and, to a lesser extent, from Japan to the U.K. Mean returns in all three markets and volatility in Japan and the U.K. are the same during the two periods, while volatility in the U.S. is lower during the post-crash period. With the exception of the correlation of returns between Japan and the U.K., which has doubled since the October 1987 crash, the remaining correlations are statistically similar during the two periods. Simulations performed indicate that volatility is reverting in the sense that, when it departs from its long-run equilibrium level, it tends to revert back to that level.     

DOES THE OCTOBER 1987 CRASH STRENGTHEN THE CO-MOVEMENTS AMONG NATIONAL STOCK MARKETS?

This study examines the effect of the October 1987 crash on the co-movements among national stock markets. Interrelationships among the price movements in different national stock markets are analyzed using correlation and exploratory factor analysis. The data on weekly returns of 12 national stock market indices over the period from August 1984 to December 1990 are used in both local-currency and U.S. dollar terms for the analysis. This study finds that national stock markets became more interrelated after the crash, and the strengthening co-movements among national stock markets continued for a longer period after the crash. In addition, it is shown that the co-movements among national stock markets were stronger when the U. S. stock market was more volatile. These results imply that after investors experienced the October crash, they tend to give more weight to international factors in making investment decisions after the crash than before.     

Value at risk and returns of cryptocurrencies before and after the crash: long-run relations and fractional cointegration

Cryptocurrency has become an increasingly important investment vehicle, thus the long-run relationship between risk and return of cryptocurrency is vital for both investors and policy-makers. We apply the Fractionally Cointegrated Vector Autoregression (FCVAR) model and investigate the risk-return relationship. This has not been studied previously, much less disintegrating the series into periods of pre-crash, post-crash, and the full sample. Empirical results indicate that risk series in all eight cryptocurrency markets exhibit long-memory property, and there is a long-run fractional cointegration relationship between the risk of altcoins and Bitcoin. Most importantly, though a positive risk-return tradeoff is found in the full sample, there are big differences between results of pre-crash and post-crash. The time horizon set to 14 days, all the eight currencies exhibit traditional risk-return tradeoff after the crisis, whereas the effect doesn’t exist before the crisis, with the exception of Dash and Doge. In the same vein, there is no leverage effect in all eight currencies before the crisis but this effect is present in three cryptocurrencies after the crisis. The differences indicate that investors are more cautious, increasing risk awareness and demanding higher compensation for risk after the crash. The above results are robust when time horizon is 30 days.     

Fads and the Crash of '87

This paper examines changes in return-generating processes before and after the crash of '87. We find that the process for daily returns of size-sorted portfolios changed from an ARMA(1, 2) in the pre-crash period to a MA(1) in the post-crash period. The change is explained by a “fads” model similar to that proposed by Poterba and Summers [17]. The analysis suggests that the crash may have been related to speculative fads that prevailed prior to the crash. The fads component in stock prices then disappeared after the crash. Other possible explanations are also discussed.     

Equity market integration in emerging Balkan markets

This paper examines long-run relationships among five Balkan emerging stock markets (Turkey, Romania, Bulgaria, Croatia, Serbia), the United States and three developed European markets (UK, Germany, Greece), during the period 2000-2009. Conventional, regime-switching cointegration tests and Monte Carlo simulation provide evidence in favour of a long-run cointegrating relationship between the Balkan emerging markets within the region and globally. Moreover, we apply the Asymmetric Generalized Dynamic Conditional Correlation (AG-DCC) multivariate GARCH model of Cappiello et al. (2006), in order to capture the impact of the 2007-2009 financial crisis on the time-varying correlation dynamics among the developed and the Balkan stock markets. Results show that stock market dependence is heightened, supporting the herding behaviour during the 2008 stock market crash period. Our findings have important implications for international portfolio diversification and the effectiveness of domestic policies, as these emerging markets are exposed to external shocks.     

The Impulse of Stock Market Volatility and the Market Crash of October 1987

This paper employs the technique of variance decomposition and impulse response functions to examine the dynamic nature of stock market volatility relationships among six major countries during the pre, around, and post October 1987 crash period. During the period around the crash, the US stock market volatility explains much better the variations of the stock market volatility of Australia, Hong Kong, Japan, Singapore and the UK. Our findings clearly indicate that the crash originated in the US and then spread to other major stock markets.     

International portfolio diversification: A study of linkages among the U.S., European and Japanese equity markets

In this paper, we examine the short-term linkages among five leading stock markets with the objective of evaluating the case for international portfolio diversification as well as the stability of stock market interdependence after an exogenous shock. We utilize daily closing equity price data from U.S., U.K., France, Germany and Japan during the period from January 1999 to February 2002 and investigate the joint impact of any four equity markets on the fifth market. The findings indicate that even though the interdependencies among the markets are significant, there is still room for international portfolio diversification. Also, the study provides mixed results for the hypothesis that the international market correlations change after an exogenous shock. The tests of stability of correlations are based on before-and-after analyses of two events: the introduction by the European Union of the euro as official currency and the September 11, 2001, terrorist events in U.S.     

Portfolio diversification benefits within Europe: Implications for a US investor

This paper investigates the possibility of cointegration between the United States and 11 European equity markets before and after the convergence period of 1995. The results indicate that during the preconvergence and postconvergence periods, some country groups, with and without the US equity market, exhibited cointegration while others did not. For the European Union markets, however, at least one cointegrating vector emerged in either period, but no cointegration among them surfaced during the Euro introduction period of 1999. These results suggest that a US investor can still benefit from country diversification within the European Union markets.     

Covariance and correlation stationarity: Experiences from seven Asian emerging markets

Because of the rising interest and the growing importance of the Asian emerging markets in international diversification, this paper examines the covariance and correlation stationarity in stock return relationships among seven Asian emerging markets. This paper also covers the issue of seasonality in stock return co-movements. Empirical results show that because the correlations among them and those with other developed markets are very small, huge gains from diversifying into the seven Asian emerging markets are possible. Results on stationarity indicate that correlation matrices of stock returns are much more stable then the corresponding variance-covariance matrices and that the length of the estimation period seems to have no impact on the stationarity of the correlation matrix. We also found that virtually no seasonality in the correlations exists among the seven Asian emerging markets. However, we did find that during our sample period covariance among stock returns is nonstationary in January. The author thanks an anonymous referee ofFinancial Engineering and the Japanese Markets for the valuable comments on the earlier version of this article.     

Price volatility,international market links,and their implications for regulatory policies

Conclusions The October 1987 stock market crash spawned an abundance of research papers, as scholars attempted to explain what seemed at the time, and to some extent remains, an inexplicable event.Except for the period immediately around the crash, there is only meager evidence that international linkages across markets have become tighter over time. Yet the crash was worldwide in scope, and its similarity across countries was uncanny. Just on the face, this international similarity puts doubt to such explanations as particular macroeconomic events in one country, failure of a given country's market system, or simultaneous changes in underlying fundamentals (which were quite different across countries).Assigning the origination of the crash to one country cannot be entirely ruled out, however, because of the possibility of a non-fully revealing equilibrium contagion process of the type suggested by King and Wadhwani (1988). Such a process would allow a world-wide crash to begin by a particular news event or even by a market mistake in one country. Evidence in favor of this process is that international correlations of returns increased dramatically during the crash period. However, this increase is consistent with other explanations, such as transaction costs hindering international arbitrage except during periods of high volatility.Was the crash the bursting of a bubble? Some evidence seems to support this proposition: for example, in the majority of countries, the pre-crash period displayed significant serial dependence in stock returns, dependence that was definitely not present in the post-crash period. However, further work is necessary to ascertain whether this measured serial dependence is unusual relative to what one would have expected to find, even in a perfectly random process, by choosing a sample period that happened to culminate in a random peak. Ross (1987) shows that such ex post sample period selection will induce upward bias in estimates of serial dependence. Cross-country tests failed to detect this bias, but there are several ambiguities in the tests that will have to be resolved in future work.The crash is history. What implications, if any, does it have for regulatory policy? Is there evidence that popular regulations or rules would have mitigated the crash, or that they would decrease price volatility in general? There is very little evidence in favor of the efficacity of margin requirements, price limits, or transactions taxes. Despite a large number of empirical studies, no one has provided evidence that margin requirements have an impact on volatility. There has been at least one recent paper claiming the contrary, but a careful examination of its methods have uncovered enough problems to cast those results into doubt.As for price limits, there must be a very short-term impact on measured volatility, for the measured market price at a trading halt is likely to understate the direction of movement. Yet even for daily data, the cross-country evidence is slim that price limits reduce volatility, and there is no evidence at all that they work over periods as long as a week. In other words, trading halts caused by limits seem to have no effect on true volatility.Transaction taxes are inversely but insignificantly correlated with volatility across countries, and the effect is too questionable for taxes to be used with confidence as an effective policy instrument.     

A three-tiered nested analytical approach to financial integration: The case of emerging and frontier equity markets

This study investigates the patterns of integration of emerging and frontier equity markets with the US stock market during the period 2002–2014 characterised by financial turmoil and instability. To add rigour to the study, to overcome the limitations of simple correlation analysis of integration, and to produce more robust results, we propose a nested analytical approach based on a three-tiered research design. The first level uses the smooth transition conditional correlations among the US, emerging, and frontier markets. The second tier uses the results of the smooth transition approach to creating different international portfolios, which, based on alternative investment strategies, account for the time-varying correlations among markets and exploit the scope of international diversification with less integrated markets. Finally, the last tier of analysis uses returns and risks of these different international portfolios and applies structural models to explore characteristics and integration patterns in turbulent times. The three nested approaches indicate that the global financial crisis has produced a permanent increase in the degree of integration among the US and frontier markets. Conversely, the crisis's effect seems to have been only temporary in the case of integration among the US and emerging equity markets. Despite the changes brought by the crisis, the degree of integration among emerging markets and the US market is considerably more significant than the degree of integration among frontier and US markets. The novelty of this methodological approach enables us to provide some original contributions and empirical results that are robust and relevant to investors in international markets.     

Changing integration of EMU public property markets

This paper examines the impact of the European Monetary Union (EMU) on European public property market integration. Results indicate that the property markets are long-run independent and show little evidence of short-run relationships prior to the formation of the EMU. However, the degree of interdependence and the extent of convergence among the largest property markets have intensified substantially after the launch of the Euro as the common currency in January, 1999. Moreover, each of the property markets under consideration is endogenous in that none is found to “dominate” the others toward long-run equilibrium. Short-run results indicate substantial interrelationships among the markets after the adoption of the Euro. Finally, the study shows that stock markets, bond markets, and public property markets follow similar convergence patterns.     

Sustainable mutual fund performance and flow in the recent years through the COVID-19 pandemic

Sustainable investing has gained significant momentum over the past few years. In this paper, we study the performance and flows of sustainable equity mutual funds in recent years through the COVID-19 pandemic. We find that the high-sustainable funds perform better than the low-sustainable ones by between 1.32% and 6.96% annually. This outperformance significantly increases during the COVID-19 pandemic-induced market crash and the post-crash pandemic. Similarly, we find that high-sustainable funds attract significantly more investments (or suffer less outflow) than the low-sustainable funds by between 5.28% and 5.76% per annum. These flow differences increase considerably during the market crash, consistent with the ‘flight-to-quality’ effect. We also find that the high-sustainable funds attract significantly more investment during the post-crash pandemic than before the crash. This suggests that investors consider sustainable investing a necessity (not a luxury good), and their taste/attitude towards sustainable investing has changed – now they prioritize ‘investing with a conscience.’     

Art as an investment: risk, return and portfolio diversification in major painting markets

The present paper examines risk, return and the prospects for portfolio diversification among major painting and financial markets over the period 1976–2001. The art markets examined are Contemporary Masters, French Impressionists, Modern European, 19th Century European, Old Masters, Surrealists, 20th Century English and Modern US paintings. The financial markets comprise US Treasury bills, corporate and government bonds and small and large company stocks. In common with the published literature in this area, the present study finds that the returns on paintings are much lower and the risks much higher than conventional investment markets. Moreover, while low correlations of returns suggest that opportunities for portfolio diversification in art works alone and in conjunction with equity markets exist, the construction of Markowitz mean‐variance efficient portfolios indicates that no diversification gains are provided by art in financial asset portfolios. However, diversification benefits in portfolios comprised solely of art works are possible, with Contemporary Masters, 19th Century European, Old Masters and 20th Century English paintings dominating the efficient frontier during the period in question.     

International Stock Market Efficiency and Integration: A Study of Eighteen Nations

This study examines the relationships among stock prices in eighteen national stock markets by using unit root and cointegration tests for the period 1961--92. All the markets were analyzed individually and collectively in regions to test for market efficiency. The results from unit root tests suggest that the world equity markets are weak-form efficient. The cointegration test results show that there are only a small number of significant cointegrating vectors over the last three decades. However, the number of significant cointegrating vectors increases after the October 1987 stock market crash, a result that is consistent with the contagion effect.     

After-Hours Stock Prices and Post-Crash Hangovers

After-hours pricing in foreign equity markets of multiple-listed U.S. securities appeared to be efficient in predicting New York prices in the weeks immediately following the October 1987 crash but relatively uninformative in succeeding months. By contrast, daily changes in New York prices appear to be efficiently incorporated in after-hours trading on both the Tokyo and London exchanges throughout the sample period. This paper suggests that the asymmetry and temporal variations in cross-market correlations are consistent with rational investor behavior in equity markets with nonzero transaction costs and time-varying share price volatility.     

International stock market cointegration under the risk-neutral measure

This paper investigates international cointegration and financial integration among equity market indexes using index option data, providing an ex-ante analysis through investor anticipations. Daily time series of risk-neutral variance, skewness, and kurtosis are constructed for five major indexes for three sub-periods between 2003 and 2013. Fractionally cointegrated VAR models are estimated at the international level, accounting for persistence in risk-neutral moments. Our results show that there exist international equilibria in risk-neutral moments defined by several cointegrating vectors. During the 2007–2009 global crisis period, these equilibria are characterized by an increase in persistence and in the speeds of adjustment. Moreover, for risk-neutral variance and skewness, all markets are included in the equilibria and none are weakly exogenous. Outside the global crisis period, the cointegration relationship is more fragmented, especially for higher-order moments. In particular, crash and tail risks are segmented during the European debt crisis.     

Spreading the fear: The central role of CBOE VIX in global stock market uncertainty

Construction of efficient portfolios is reliant on understanding the correlation between assets. If correlations change markedly during times of economic turmoil then investors are exposed to greater risk at the most inopportune time. We examine the linkages between global stock markets using measures of market uncertainty (implied volatility). Using a sample of daily changes in G7 and BRIC implied volatility measures, over a 20-year sample period, we demonstrate that uncertainty in U.S. markets plays a pivotal role in global stock market uncertainty. “Fear is spread” across markets, as heightened uncertainty in U.S. markets is transmitted across global markets. Conversely, changes in global market uncertainty do not explain changes in U.S. market uncertainty. While there is a clear increase in connectedness during crisis periods, we observe a disparity in the way that inter-dependencies change during the two major economic crises in our sample period; the GFC (2007–2009) and COVID-pandemic (2020). The additional importance of US news largely drives our results during the GFC, while the effect is spread among several countries (particularly within European markets) during COVID.     

Will the crisis “tear us apart”? Evidence from the EU

We examine the synchronisation of the European Union (EU) financial markets before and during the 2007 global financial crisis. We use an Asymmetric Dynamic Conditional Correlation (ADCC)-GARCH framework to control for the time-varying correlations and a Markov-Switching model to identify regime changes. Our sample considers 27 EU nations for the period 2000–2011. For each nation we formulate several characteristics of the crisis such as, synchronicity, duration and intensity measures. We find that the more recent EU members had a lagged entry to the crisis regime, were less adversely affected, show higher correlation between their stock markets and have their credit scores being revised more frequently relative to established EU members. We also find that higher levels of sovereign debt and lower levels of industrialisation positively impact crisis duration and intensity. Our results refute the notion of uniform integration of EU financial markets as evident from the highly non-synchronised observed crisis experience among the EU members. As such, one-size fits all policies are likely to be ineffective.