The conditional relationship between beta and returns: recent evidence from international stock markets

The risk–return relationship is one of the fundamental concepts in finance that is most important to investors and portfolio managers. Finance theory argues that the beta or systematic risk is the only relevant risk measure for investors. However, many studies have showed that betas and returns are not related empirically, no matter in domestic markets or in international stock markets. This paper examines the conditional relationship between beta and returns in international stock markets for the period from January 1991 to December 2000. After recognizing the fact that while expected returns are always positive, realized returns could be positive or negative, we find a significant positive relationship between beta and returns in up market periods (positive market excess returns) but a significant negative relationship in down market periods (negative market excess returns). The results are robust for both monthly and weekly returns and for two different proxies of the world market portfolio. Our findings indicate that beta is still a useful risk measure for portfolio managers in making optimal investment decisions.     

Law,finance, and emerging market returns

This paper investigates how legal foundation influences the return distribution, the growth rate of market capitalization, the ratio of market capitalization to gross domestic product (GDP) and the correlation structure of emerging market indices with developed market indices. Using a sample of 24 emerging markets, we find that emerging markets from the French [civil] law systems earned higher returns, have higher correlations with the world market portfolio, higher average growth rates in market capitalization and lower average market capitalization to GDP than their English common law counterparts. Finally, most emerging markets returns are more highly correlated to the returns of developed markets with an English common law tradition. Our results suggest that diversification potential is highest with the English common law emerging markets but that the diversification benefits come at the cost of reduced returns.     

Predicting default probabilities and implementing trading strategies for emerging markets bond portfolios

In this paper, we address two main issues: the computation of default probability implicit in emerging markets bond prices and the impact on portfolio risks and returns of expected changes in default probability. Using a reduced-form model, weekly estimates of default probabilities for U.S. Dollar denominated Global bonds of 12 emerging markets are extrapolated for the sample period 1997–2001. The estimation of a logit type econometric model shows that weekly changes of the default probabilities can be explained by means of some capital markets factors. Recursively estimating the logit model using rolling windows of data, out-of-sample forecasts for the dynamics of default probabilities are generated and used to form portfolios of bonds. The practical application provides interesting results, both in terms of testing the ability of a naive trading strategy based on model forecasts to outperform a “customized benchmark”, and in terms of the model ability to actively manage the portfolio risk (evaluated in terms of VaR) with respect to a constant proportion allocation.     

Including emerging markets in international momentum investment strategies

Momentum return investment strategies that diversify across countries provide lower portfolio standard deviations and/or increased expected returns. These diversification benefits are larger when adding emerging markets than when adding developed markets, and they are larger than would be suggested by diversifying with long-only portfolios. Using data on almost 16,000 firms from 22 developed and 18 emerging markets over the 1990–2004 period, we confirm the profitability of momentum trading strategies in both developed and emerging markets and document the diversification benefits of including emerging markets in an international momentum portfolio investment strategy.     

Country and industry factors in returns: evidence from emerging markets’ stocks

This study examines the influence of country and industry factors on the cross-sectional variance and correlation structure of returns. I use new data on emerging markets’ stocks obtained from the Emerging Markets Data Base. I find that emerging markets’ returns are mainly driven by country factors, as it was shown previously in studies for mature markets, and that cross-market correlation is not affected by the industrial composition of the indices. These results have important implications in regard to international portfolio diversification: cross-market diversification seems to be a better bet than cross-industry diversification. A finer industry partition shows, however, that ignoring the industrial mix leads to an important loss of diversification benefits.     

The nature and determinants of comovement between developed,emerging and frontier equity markets: Europe versus Asia‐Pacific

International investors are increasingly attracted towards emerging and frontier markets because of their potential to enhance diversification benefits of a global portfolio. This calls for a rigorous analysis of the nature and determinants of stock market comovement between developed, emerging, and frontier markets in Europe and Asia‐Pacific regions. The findings suggest that unlike their Asia‐Pacific counterparts, European developed, emerging, and frontier stock markets display a higher degree of comovement. Although Asia‐Pacific frontier markets provide good diversification opportunities, investors must be cautioned against their weak financial system. The volatility of returns, gross domestic product growth rate, and the 2008 global financial crisis (GFC) are the key determinants of stock market comovement in Europe. The mechanisms by which comovement in the Asia‐Pacific region is strengthened differ across markets. Comparative analysis of comovement and its determinants across different classes of equity markets and geographies is expected to provide valuable perspectives to global investors, portfolio managers, and policymakers.     

Emerging markets,downside risk and the asset allocation decision

This study examines the use of downside risk measures in the construction of an optimal international portfolio, with particular reference to the estimated allocations in emerging markets and the out-of-sample performance of the optimal portfolios. The use of downside risk measures is assessed due to the problems of using a conventional mean-variance analysis approach in the presence of the non-normality often found to be present in emerging market data. The data set used consists of the MSCI indices for developed equity markets and the IFC data set on emerging markets. The primary component of the paper consists of the construction of optimal portfolios under both mean-variance and downside risk frameworks. In addition, the use of Bayes–Stein estimators is also assessed, in an attempt to reduce estimation error. The resulting estimated allocations are then used to assess the out-of-sample performance of the optimal portfolios. The results indicate that for risk-averse investors the use of downside risk measures can result in significant improvements in performance.     

The success of stock selection strategies in emerging markets: Is it risk or behavioral bias?

We examine competing explanations, based on risk and behavioral models, for the profitability of stock selection strategies in emerging markets. We document that both emerging market risk and global risk factors cannot account for the significant excess returns of selection strategies based on value, momentum and earnings revisions indicators. The findings for value and momentum strategies are consistent with the evidence from developed markets supporting behavioral explanations. In addition, for value stocks, the most important behavioral bias appears to be related to underestimation of long-term growth prospects, as indicated by above average earnings revisions for longer post-formation horizons and by quite rapidly improving earnings growth expectations. Furthermore, we find that overreaction effects play a limited role for the earnings revisions strategy, as there is no clear return reversal until five years after portfolio formation, setting this strategy apart from momentum strategies.     

On the significance of the incremental returns from hedging international portfolios

This paper investigates whether hedging the currency risk associated with international portfolios diversified into established and emerging markets leads to significant incremental returns. From the empirical results, for the period August 1989 to December 1997, the ineffectiveness of hedging for generating superior returns could be explained by the low correlations among the observed markets and the presence of negative index/currency correlations in many assets. In the particular case of emerging markets, the predominance of positive index/currency correlations suggests that the currency risk could compound the risk posed by these markets beyond the power of a hedging strategy.     

Turnover and return in global stock markets

I study how growth affects liquidity of global stock exchanges and how liquidity determines cross-sectional returns on those stock exchange index portfolios. I measure portfolio liquidity by turnover ratio computed as value of shares traded over the market capitalization. I obtain data from FIBV, an association of global stock exchanges. In a multiple regression model for turnover ratio, I find age, size, type of exchange, competition for order flow, and growth rate to be significant determinants of portfolio liquidity; however, exchange- and time-specific effects are more appropriate for modeling portfolio liquidity. The time effects yield to three distinct regimes, while the exchange-specific effects are surrogates for the legal systems, English common law, and Civil laws of the countries. I estimate the parameters of a multiple regression model in a two-stage GLS framework in which index return is a function of turnover. The GLS method is preferable since a turnover ratio may have a non-stationary, random component. The significant determinants of index return are turnover and volatility, although some of the volatility effect may be a spillover from a January effect. Investors expect higher return from high turnover markets. However, the positive turnover expected return relation is true only in emerging markets; in developed markets expected return is a function of volatility. This result confirms existing empirical evidence that high turnover stock portfolios generate superior returns and further the sources and pricing of risk in emerging and developed markets are different.     

Examining the returns of American depository receipts: Evidence from emerging and developed markets

The purpose of this article is to explain the returns of American Depository Receipts (ADRs), comparing the results across emerging and developed markets. Using a sample of 167 ADRs from 14 emerging and 17 developed markets (31 markets in total) for the period 2000–2004, we found variations in the impacts of specific variables and in the explanatory power of models associated with the annual holding‐period return of firms. Dividing ADRs into emerging and developed markets suggests that firm size and local market conditions influenced returns in the two groups in similar ways. However, firm‐specific business risk and country‐specific economic risk are only important to emerging markets' ADRs, while country‐specific exchange‐rate variables are more important to developed markets' ADRs. © 2009 Wiley Periodicals, Inc.     

Dependence dynamics of stock markets during COVID-19

Stock markets have exhibited increased returns connectedness during the COVID-19 period. We examine the returns dependence among 42 stock markets classified under various emerging and developed groupings. We apply several dependence measures to examine the returns connectedness among the markets. Our results show that stock markets from the G-7 and Emerging Frontier and Asian (EFA) region exhibit high connectedness with other international markets, while Middle East and North African (MENA) and Latin American (LA) stock markets offer high diversification opportunities through low returns connectedness. The returns coherence of Central and East European (CEE) and G-7 markets increase significantly during the COVID-19 period which supports the hypothesis of contagion. However, during the pandemic MENA stock markets (excluding Greece) and most EFA markets (excluding China, Singapore and Korea) remain less cointegrated with other international equity markets. Our results have implications for individual and institutional investors, fund managers and other financial market stakeholders.     

Volatility and shock interactions and risk management implications: Evidence from the U.S. and frontier markets

The study affords comprehensive evidence of shock and volatility interactions between stock markets of each of the twenty four frontier markets and the U.S. for the period 2006:01 to 2015:07. The results from the recent EDCC-GARCH model of Nakatani and Teräsvirta (2009), which permits for concurrent estimation of shock and volatility interactions as well as dynamic conditional correlations (DCC) across assets, shows unidirectional shock and volatility transmissions from the U.S. to the frontier markets. The conditional correlation between the U.S. and each frontier market is very low or negative, offering diversification benefits to U.S. investors. The DCC exhibits slow decay and is insignificantly impacted by previous period's shocks. The results are very intuitive for optimal portfolio allocations using the traditional capital-based as well as the risk-based allocations. The risk parity approach to portfolio management increases (reduces) allocations to lower (higher) risk assets to improve portfolio diversification while increasing the risk-adjusted returns.     

Exchange rate regimes, globalisation, and the cost of capital in emerging markets

This paper presents a multifactor asset pricing model for currency, bond, and stock returns for ten emerging markets to investigate the effect of the exchange rate regime on the cost of capital and the integration of emerging financial markets. Our results suggest that a fixed exchange rate regime system can help reduce the cost of capital in emerging markets by reducing the currency risk premia demanded by foreign investors.     

Diversification potential of Asian frontier,BRIC emerging and major developed stock markets: A wavelet-based value at risk approach

This study examines the portfolio risk and the co-movements between each of the BRIC emerging and South Asian frontier stock markets and each of the major developed stock markets (U.S., UK and Japan), using the wavelet squared coherence approach as well as the wavelet-based Value at Risk (VaR) method. The results show that the co-movements and diversification benefits between these markets vary over time and across frequencies. Additionally, the co-movements are intensified in the wake of the recent global financial crisis (GFC) and the Eurozone sovereign debt crisis (ESDC). More precisely, the wavelet-based VaR ratio indicates that including a BRIC or a South Asian (particularly Pakistan and Sri Lanka at both the short- and long-term) stock market in a portfolio of the developed stock markets reduces the resulting portfolio's VaR. Specifically, adding China in the medium term to this portfolio reduces risk in the pre- and during both the GFC and ESDC periods. By assigning optimal weights to the different market assets in the portfolio formulation, the analysis thus has implications for international investors.     

Asymmetric Correlations in Predicting Portfolio Returns*

Rigorous statistical tests have been designed to detect the existence of asymmetric correlations. However, these tests can hardly further facilitate future investment or risk management because asymmetric correlations are time‐varying and difficult to predict. In this paper, we construct a unified state‐space model, which not only measures in‐sample asymmetric correlations, but also exploit out‐of‐sample asymmetric correlations in the context of predicting portfolio returns. First, we regard time‐varying correlation between market returns and portfolio returns as a state variable and model it as an AR(1) process. Then, we measure future asymmetric correlations based on correlation coefficients between two unpredictable components in market returns and correlation, respectively. Third, we clarify the intuition, calculate asymmetric correlations for two portfolio sets and estimate the economic value of applying our model in asset allocation. Finally, we try to search for potential variables that can explain future asymmetric correlations. The results show that market‐wide liquidity, variance, earning price ratio, and investor sentiment can partially explain the asymmetry correlation phenomenon.     

Systematic risk in emerging markets: the D-CAPM

There is by now a growing literature arguing against the use of the CAPM to estimate required returns on equity in emerging markets (EMs). One of the characteristics of this model is that it measures risk by beta, which follows from an equilibrium in which investors display mean–variance behavior. In that framework, risk is assessed by the variance of returns, a questionable and restrictive measure of risk. The semivariance of returns is a more plausible measure of risk and can be used to generate an alternative behavioral hypothesis (mean–semivariance behavior), an alternative measure of risk for diversified investors (the downside beta), and an alternative pricing model (the downside CAPM, or D-CAPM for short). The empirical evidence discussed below for the entire Morgan Stanley Capital Indices database of EMs clearly supports the downside beta and the D-CAPM over beta and the CAPM.     

The volatility effect in emerging markets

We examine the empirical relation between risk and return in emerging equity markets and find that this relation is flat, or even negative. This is inconsistent with theoretical models such as the CAPM, which predict a positive relation, but consistent with the results of studies for developed equity markets. The volatility effect appears to be growing stronger over time, which we argue might be related to the increased delegated portfolio management in emerging markets. Finally, we find that the volatility effect in emerging markets is only weakly related to that in developed equity markets, which argues against a common-factor explanation.     

中国黄金期货与现货市场的相关性及其套期保值研究

通过构建VAR-DCC-MVGARCH模型,检验2008—2011年中国黄金期货与现货市场的相关性,并分析最小化资产组合风险的最优套期保值率及其绩效,结果表明:黄金市场仅存在着现货收益率对期货收益率的单向影响;收益率的波动间具有高度正相关的时变特征;动态套期保值组合能够有效地规避黄金现货的投资风险。     

An alternative perspective on the relationship between downside beta and CAPM beta

In this paper we derive relationships between the CAPM beta and three measures of downside risk discussed in the literature. The relationships are derived assuming data generating processes in the mean-variance and mean-semivariance frameworks. In a sample of emerging market index returns we highlight that the association between the CAPM beta and downside beta depends on the standard deviation, skewness and kurtosis of the market portfolio return distribution. Therefore choice of risk measure may depend on the market being investigated. We argue that the derived relationships may also help explain anomalous results in empirical investigations.