Stock market cycles, financial liberalization and volatility

In this paper we analyze the cycles of the stock markets in four Latin American and two Asian countries, and we compare their characteristics. We divide our sample in two subperiods in order to account for differences induced by the financial liberalization processes of the early 1990s. We find that cycles in emerging countries tend to have shorter duration and larger amplitude and volatility than in developed countries. However, after financial liberalization Latin American stock markets have behaved more similarly to stock markets in developed countries whereas Asian countries have become more dissimilar. Concordance of cycles across markets has increased significantly over time, especially for Latin American countries after liberalization.     

Selecting a portfolio with skewness: Recent evidence from US,European, and Latin American equity markets

Polynomial goal programming, in which investor preferences for skewness can be incorporated, is utilized to determine the optimal portfolio from Latin American, US and European capital markets. The empirical findings suggest that the incorporation of skewness into an investor’s portfolio decision causes a major change in the resultant optimal portfolio. The empirical evidence indicates that investors do trade expected return of the portfolio for skewness.     

Financial liberalization and changes in the dynamic behaviour of emerging market volatility: Evidence from four Latin American equity markets

This paper examines whether the dynamic behaviour of stock market volatility for four Latin American stock markets (Argentina, Brazil, Chile and Mexico) and a mature stock market, that of the US, has changed during the last two decades. This period corresponds to years of significant financial and economic development in these emerging economies during which several financial crises have taken place. We use weekly data for the period January 1988 to July 2006 and we conduct our analysis in two parts. First, using the estimation of a Dynamic Conditional Correlation model we find that the short-term interdependencies between the Latin America stock markets and the developed stock market strengthened during the Asian, Latin American and Russian financial crises of 1997–1998. However, after the initial period of disturbance they eventually returned to almost their initial (relatively low) levels. Second, the estimation of a SWARCH-L model reveals the existence of more than one volatility regime and we detect a significant increased volatility during the period of crisis for all the markets under examination, although the capital flows liberalization process has only caused moderate shifts in volatility.     

An empirical analysis of herd behavior in global stock markets

This paper examines herding behavior in global markets. By applying daily data for 18 countries from May 25, 1988, through April 24, 2009, we find evidence of herding in advanced stock markets (except the US) and in Asian markets. No evidence of herding is found in Latin American markets. Evidence suggests that stock return dispersions in the US play a significant role in explaining the non-US market’s herding activity. With the exceptions of the US and Latin American markets, herding is present in both up and down markets, although herding asymmetry is more profound in Asian markets during rising markets. Evidence suggests that crisis triggers herding activity in the crisis country of origin and then produces a contagion effect, which spreads the crisis to neighboring countries. During crisis periods, we find supportive evidence for herding formation in the US and Latin American markets.     

On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation

Recent studies in the empirical finance literature have reportedevidence of two types of asymmetries in the joint distributionof stock returns. The first is skewness in the distributionof individual stock returns. The second is an asymmetry in thedependence between stocks: stock returns appear to be more highlycorrelated during market downturns than during market upturns.In this article we examine the economic and statistical significanceof these asymmetries for asset allocation decisions in an out-of-samplesetting. We consider the problem of a constant relative riskaversion (CRRA) investor allocating wealth between the risk-freeasset, a small-cap portfolio, and a large-cap portfolio. Weuse models that can capture time-varying moments up to the fourthorder, and we use copula theory to construct models of the time-varyingdependence structure that allow for different dependence duringbear markets than bull markets. The importance of these twoasymmetries for asset allocation is assessed by comparing theperformance of a portfolio based on a normal distribution modelwith a portfolio based on a more flexible distribution model.For investors with no short-sales constraints, we find thatknowledge of higher moments and asymmetric dependence leadsto gains that are economically significant and statisticallysignificant in some cases. For short sales-constrained investorsthe gains are limited.     

Small caps in international equity portfolios: the effects of variance risk

We show that predictable covariances between means and variances of stock returns may have a first order effect on portfolio composition. In an international asset menu that includes both European and North American small capitalization equity indices, we find that a three-state, heteroskedastic regime switching VAR model is required to provide a good fit to weekly return data and to accurately predict the dynamics in the joint density of returns. As a result of the non-linear dynamic features revealed by the data, small cap portfolios become riskier in bear markets, i.e., display negative co-skewness with other stock indices. Because of this property, a power utility investor ought to hold a well-diversified portfolio, despite the high risk premium and Sharpe ratios offered by small capitalization stocks. On the contrary, small caps command large optimal weights when the investor ignores variance risk, by incorrectly assuming joint normality of returns.      

The Effect of US Stock Market Uncertainty on Emerging Market Returns

We investigate the effects of US stock market uncertainty (VIX) on the stock returns in Latin America and aggregate emerging markets before, during, and after the financial crisis. We find that increases in VIX lead to significant immediate and delayed declines in emerging market returns in all periods. However, changes in VIX explained a greater percentage of changes in emerging market returns during the financial crisis than in other periods. The higher US stock market uncertainty exerts a much stronger depressing effect on emerging market returns than their own-lagged and regional returns. Our risk transmission model suggests that a heightened US stock market uncertainty lowers emerging market returns by both reducing the mean returns and raising the variance of returns. The VIX fears raise the volatility of emerging market returns through generalized autoregressive conditional heteroskedasticity (GARCH)-type volatility transmission processes.     

Correlation in price changes and volatility of major Latin American stock markets

This paper seeks to investigate the short-run dynamics between five major Latin American stock markets (Argentina, Brazil, Chile, Colombia and Mexico). Unlike previous research on these markets, the joint distribution of stock returns is estimated as a vector autoregression (VAR) with innovations following an exponential GARCH process. Our study is carried out using closing stock market prices covering the period 25 May 1992 to 16 May 1997. The results revealed that these countries have significant first and second moment time dependencies. In general, the markets of these countries exhibit stronger volatility than mean spillovers. Further, our results indicate that these markets exhibit stronger volatility spillovers than other regions of the world. In view of these dependencies, the conditional correlations between these markets are different from their conventional simple counterparts. Since the correlation is the catalyst in portfolio diversification and an essential parameter in the calculation of the cost of capital, we anticipate that international investors and corporate managers will find our results very interesting.     

Attention allocation and international stock return comovement: Evidence from the Bitcoin market

We employ extreme Bitcoin returns as exogenous shock events to investigate the impact of investor attention allocation on worldwide stock return comovement. We find that (1) these shock events decrease worldwide stock return comovement, (2) there is an asymmetric effect in which a crash shock event has a greater impact on return comovement than a jump shock event, and (3) the impact of these shock events on equity comovement is more pronounced in emerging markets. Our results suggest that identifying extreme Bitcoin returns will benefit portfolio construction. Our results may be of considerable interest to investors, as well as to academics interested in portfolio diversification, asset comovement, and cryptocurrencies.     

US and Domestic Market Gains and Asian Investors’ Overconfident Trading Behavior

We find that subsequent to both US and domestic market gains, both Asian individual and institutional investors increase their trading and that this effect is more pronounced in bull markets, in periods of relatively favorable investor sentiment, in periods of extremely high market returns, and in markets with short‐sale constraints. We also find that individual investors trade more in response to market gains than institutional investors. Moreover, we find that further integration of Asian stock markets with US stock markets after the Asian financial crisis in 1998 is an important reason for Asian investors’ response to US market gains.     

On the stability of long-run relationships between emerging and US stock markets

While most studies have found no cointegration between emerging and US stock markets, some recent studies do find a long-run relationship exists between these markets. In view of these mixed findings, this study examines the stability of long-run relationships between a number of emerging stock markets and the US stock market using recursive cointegration analysis. The results show that no long-run relationship exists between emerging markets and the US market over most of the sample period throughout 1997. However, we do find clear evidence of cointegration in response to the recent global emerging market crisis in 1997–1998. We conclude that significant crisis events can change the degree of cointegration between international stock markets and, therefore, need to be taken into account in studies of long-run relationships between international stock markets.     

Stock market linkages: Evidence from Latin America

This study investigates the dynamic interdependence of the major stock markets in Latin America. Using data from 1995 to 2000, we examine the stock market indexes of Argentina, Brazil, Chile, Colombia, Mexico and Venezuela. The index level series are non-stationary and so we employ cointegration analysis and error correction vector autoregressions (VAR) techniques to model the interdependencies. We find that there is one cointegrating vector which appears to explain the dependencies in prices. The results are robust to sensitivity tests based on translating indexes to US dollars (i.e., a common currency for all the markets) and to partitioning the sample into periods before and after the Asian and Russian financial crises of 1997 and 1998, respectively. Our results suggest that the potential for diversifying risk by investing in different Latin American markets is limited.     

Investor sentiment and stock returns: Global evidence

We assess the impact of investor sentiment on future stock returns in 50 global stock markets. Using the consumer confidence index (CCI) as the sentiment proxy, we document a negative relationship between investor sentiment and future stock returns at the global level. While the separation between developed and emerging markets does not disrupt the negative pattern, investor sentiment has a more instant impact in emerging markets, but a more enduring impact in developed markets. Individual stock markets reveal heterogeneity in the sentiment-return relationship. This heterogeneity can be explained by cross-market differences in culture and institutions, along with intelligence and education, to varying degrees influenced by the extent of individual investor market participation.     

The Momentum Effect in Latin American Emerging Markets

We find that momentum strategies yield profits in Latin American emerging markets. Both stock type and country play a major role in explaining the momentum effect in these markets, but stock type is much more important. For risk-averse investors, winner portfolios stochastically dominate loser portfolios in these markets, implying that there are no asset-pricing models consistent with risk-averse investors that can rationalize the momentum effect. The results obtained via the bootstrap procedure without replacement also uphold this conclusion.     

Is the disposition effect in bonds as strong as in stocks? Evidence from an emerging market

Does the disposition effect appear in bond trades as in stocks? We apply Odean's measurement (1998) to a proprietary transaction database with unique investor IDs from an emerging market exchange that holds both stock and bond trading. We find some disposition effect in treasury bonds, but much lower than in stocks, and a positive relation between the two measures by investor. In addition, we find a significant disposition effect for local individuals and family offices, in both markets. In contrast, long-term institutions, brokerage firms, and foreign investors do not exhibit this bias. This is the first study to report evidence of the disposition effect in a fixed-income market.     

Global economic activity as an explicator of emerging market equity returns

This paper evaluates whether global economic activity, measured by the maritime index and commodity index, is a distinct common factor in explaining equity returns in emerging markets. We document two important features of global equity markets that show that emerging market equities are a segregated part of the global stock market. First, our results show that increases in global economic activity are associated with higher emerging market equity returns. Second, companies in developed markets that have a significant exposure in emerging markets have incremental exposure to commodity returns. By allocating more capital to emerging market equities, an investor increases portfolio exposure to changes in global economic activity.     

Predictable risk and returns in emerging markets

The emergence of new equity markets in Europe, Latin America,Asia, the Mideast and Africa provides a new menu of opportunitiesfor investors. These markets exhibit high expected returns aswell as high volatility. Importantly, the low correlations withdeveloped countries' equity markets significantly reduces theunconditional portfolio risk of a world investor. However, standardglobal asset pricing models, which assume complete integrationof capital markets, fail to explain the cross section of averagereturns in emerging countries. An analysis of the predictabilityof the returns reveals that emerging market returns are morelikely than developed countries to be influenced by local information.     

Evaluating the Forecast Accuracy of Emerging Market Stock Returns

This paper analyzes the forecast performance of emerging market stock returns using standard autoregressive moving average (ARMA) and more elaborated autoregressive conditional heteroskedasticity (ARCH) models. Our results indicate that the ARMA and ARCH specifications generally outperform random walk models. Models that allow for asymmetric shocks to volatility are better for in-sample estimation (threshold autoregressive conditional heteroskedasticity for daily returns and exponential generalized autoregressive conditional heteroskedasticity for longer periods), and ARMA models are better for out-of-sample forecasts. The results are valid using both U. S. dollar and domestic currencies. Overall, the forecast errors of each Latin American market can be explained by the forecasts of other Latin American markets and Asian markets. The forecast errors of each Asian market can be explained by the forecasts of other Asian markets, but not by Latin American markets. Our predictability results are economically significant and may be useful for portfolio managers to enter or leave the market.     

Gold and US sectoral stocks during COVID-19 pandemic

In this study, we examine the hedging relationship between gold and US sectoral stocks during the COVID-19 pandemic. We employ a multivariate volatility framework, which accounts for salient features of the series in the computation of optimal weights and optimal hedging ratios. We find evidence of hedging effectiveness between gold and sectoral stocks, albeit with lower performance, during the pandemic. Overall, including gold in a stock portfolio could provide a valuable asset class that can improve the risk-adjusted performance of stocks during the COVID-19 pandemic. In addition, we find that the estimated portfolio weights and hedge ratios are sensitive to structural breaks, and ignoring the breaks can lead to overestimation of the hedging effectiveness of gold for US sectoral stocks. Since the analysis involves sectoral stock data, we believe that any investor in the US stock market that seeks to maximize risk-adjusted returns is likely to find the results useful when making investment decisions during the pandemic.     

What are the risks when investing in thin emerging equity markets: Evidence from the Arab world

This study attempts to identify the risks involved when investing in five emerging Arab capital markets. We first find that a constant beta is not a good proxy for risk in these thinly traded emerging markets. However, firms’ fundamentals and country risk rating factors prove significant in explaining the cross-sections of stock returns. The paper provides three important contributions to the literature on asset pricing in emerging capital markets: (i) we show how country risk ratings can be aggregated into a country risk factor; (ii) we add to a growing literature suggesting that, in markets other than the US, it is possible to find large and growth stocks to be riskier than small and value stocks; (iii) we determine that despite economic, financial and political reforms, issues related to financial transparency and political instability are still powerful obstacles to investments in these nascent emerging markets.