INTERNATIONAL DIVERSIFICATION OF EQUITIES AND FIXED-INCOME SECURITIES

Portfolio selection models have been applied principally to common stocks traded in the United States and in foreign stock markets. This study examines the efficient set of portfolios selected from a choice set that includes returns derived from domestic and international corporate bond and government bond indices as well as domestic and international stock indices. To assess the benefits of international multi-asset diversification, the authors examine the following issues: (1) the extent to which international and domestic fixed-income securities are included in efficient portfolios; (2) the effect on efficient set composition of using the Sharpe portfolio selection model as compared to the Markowitz portfolio selection model; (3) the sensitivity of efficient set characteristics produced from a single-index based portfolio selection model to alternative world market indices; and (4) the correspondence between expected and realized portfolio risk and return for the different portfolio selection models.     

Are the gains from international portfolio diversification exaggerated? The influence of downside risk in bear markets

The fundamental rationale for international portfolio diversification is that it expands the opportunities for gains from portfolio diversification beyond those that are available through domestic securities. However, if international stock market correlations are higher than normal in bear markets, then international diversification will fail to yield the promised gains just when they are needed most. We evaluate the extent to which observed correlations to monthly returns in bear, calm and bull markets are captured by three popular bivariate distributions: (1) the normal, (2) the restricted GARCH(1,1) of J. P. Morgan’s RiskMetrics, and (3) the Student-t with four degrees of freedom. Observed correlations during calm and bull markets are unexceptional compared to these models. In contrast, observed correlations during bear markets are significantly higher than predicted. Higher-than-normal correlations during extreme market downturns result in monthly returns to equal-weighted portfolios of domestic and international stocks that are, on average, more than two percent lower than those predicted by the normal distribution. If the extent of non-normality during bear markets persists over time, then a US investor allocating assets into foreign markets might want to allocate more assets into foreign markets with near-normal correlation profiles and avoid markets with higher-than-normal bear market co-movements.     

Does a Held-to-Maturity Strategy Impede Effective Portfolio Diversification for Islamic Bond (Sukuk) Portfolios? A Multi-Scale Continuous Wavelet Correlation Analysis

There is a critical gap in the literature in studying the portfolio diversification opportunities available to sukuk investors and evaluating these in light of held-to-maturity strategies usually adopted by these investors. This article has made an initial attempt to study the portfolio diversification strategies for sukuk portfolios across heterogeneous investment horizons. Our findings critically indicate that returns between local currency sukuk in different markets generally have low levels of correlations across different investor holding periods, thus enabling both short and long-run portfolio diversification benefits. However, in contrast, international currency sukuk issued in different markets exhibits high levels of correlations in the longer-term investor holding periods. Also, in the domestic market context, returns on different classes of domestic sukuk are found to exhibit strong correlations in the longer-holding periods. Our findings critically highlight the feasibility of held-to-maturity sukuk investment strategies from a portfolio diversification perspective.     

Price determinants of Aboriginal art, and its role as an alternative asset class

This paper analyzes auction results for over 4000 paintings by Australian Aboriginal artists to investigate determinants of prices in the Aboriginal art market. This is the first financial study of an indigenous art market, and hedonic, repeat sales and hybrid regression analyses find it shares price determinants with traditional art markets (with price premia attached to artist name, death, painting size, leading auction house, and winter sale). However, Aboriginal art’s unique features significantly affect prices, particularly works that use traditional Aboriginal media and those with reputation-affirming traits. An Aboriginal Art Index provides 6.6% annual return (standard deviation 17.9%), which is comparable to traditional asset classes and superior on a risk-adjusted basis. Returns to Aboriginal art are negatively correlated with returns from other assets, and so it adds value to a diversified investment portfolio.     

An Empirical Investigation of Eastern European Bond Markets

We examine the value of Eastern European emerging bond markets to global fixed income managers. In an environment where bonds from traditional developed markets are offering modest yields, emerging market bonds with attractive yields are becoming more popular with institutional managers. Furthermore, the returns on these bonds exhibit low correlations with traditional fixed income investments and thus offer opportunities for portfolio diversification. We develop a multifactor forecasting model and estimate its parameters using a dynamic Kalman filter procedure. The forecasts are then used to construct optimal mean–variance portfolios with and without emerging market bonds. We find that the portfolios that include emerging market bonds have significantly higher Sharpe ratios.     

Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis

This paper investigates the portfolio optimization under investor’s sentiment states of Hidden Markov model and over a different time horizon during the period 2004–2016. To compare the efficient portfolios of the Islamic and the conventional stock indexes, we have employed two approaches: the Bayesian and Markowitz mean-variance. Our findings reveal that the Bayesian efficient frontier of Islamic and conventional stock portfolios is affected by the investor’s sentiment state and the time horizon. Our findings also indicate that the investor’s sentiment regimes change the Islamic and the conventional optimal diversified portfolios.Moreover, the results show that the potential diversification benefits seem to be more important when using the Bayesian approach than when applying the Markowitz approach. This finding is valid for the bearish, depressed, bullish and calm states in Islamic stock markets. However, the diversification of potential portfolios is significant only for the bullish and the bubble states in the conventional financial markets.The findings of the study provided additional evidence for investors to exploit googling investor sentiment states to evaluate the portfolio performance and make an optimal portfolio allocation.     

The Risks and Returns of Brady Bonds in a Portfolio Framework

This paper examines the risks and returns of Brady bonds for the period 1990–1995 in a Modern Portfolio Theory framework. We find: (1) that the realized returns of Brady bonds are lower than the realized returns of other asset classes such as US stocks or US bonds; and (2) Brady bonds exhibit higher volatility compared to the other asset classes. These findings are largely explained by the influence of Mexico's devaluation of the Peso in December 1994. In addition, Mexico's devaluation is found to have had a strong (adverse) contagion effect on the returns on Brady bonds of other countries. The paper also finds that Brady bonds exhibit low correlations with US stocks and bonds markets. Thus, we find that there are potentially positive diversification gains from including Brady bonds in a domestic (US investor's) portfolio.     

International portfolio diversification: Is there a role for the Middle East and North Africa?

We examine the issue of possible portfolio diversification benefits into seven Middle East and North African (MENA) stock markets. We construct international portfolios in dollars and local currencies. Ex ante weights are obtained by plugging five optimization models and two risk measures into a rolling block-bootstrap methodology. This allows us to derive 48 monthly rebalanced ex post portfolio returns. We analyze the out-of-sample performance based on Sharpe and Sortino ratios and the Jobson–Korkie statistic. Our results highlight outstanding diversification benefits in the MENA region, both in dollar and local currencies. Overall, we show that these under-estimated, under-investigated markets could attract more portfolio flows in the future.     

Diversification in euro area stock markets: Country versus industry

The harmonization of fiscal and economic policy within the European Monetary Union (EMU) has had a considerable impact on the economies of member countries. In particular, several studies indicate that the proceeding economic integration among euro area countries has important consequences for the factors driving asset returns in financial markets. However, these studies rely on one specific methodology [Heston, S.L., Rouwenhorst, K.G., 1994. Does industrial structure explain the benefits of international diversification? Journal of Financial Economics 36, 3–27; Heston, S.L., Rouwenhorst, K.G., 1995. Industry and country effects in international stock returns. Journal of Portfolio Management Spring, 53–58], that has recently been criticized as too restrictive. This study adopts a mean–variance approach instead. Using recent euro area stock markets data, we find strong evidence that diversification over industries yields more efficient portfolios than diversification over countries.     

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.     

On the investment credentials of Bitcoin: A cross-currency perspective

We examine diversification capabilities of Bitcoin for a global portfolio spread across six asset classes from the standpoint of investors dealing in five major fiat currencies namely US Dollar, Great Britain Pound, Euro, Japanese Yen and Chinese Yuan. Considering the period of prolonged decline in Bitcoin’s value throughout 2018, we employ modified conditional value-at-risk and standard deviation as measures of risk to perform portfolio optimisations across three asset allocation strategies. Results show that portfolios denominated in Japanese Yen, Chinese Yuan and US Dollar account for greater proportion of optimal investment in Bitcoin and exhibit higher improvement in risk-adjusted returns due to investment in Bitcoin. We also perform a comprehensive risk-adjusted evaluation of portfolios with and without Bitcoin to reinforce striking variation in degree of diversification benefits of Bitcoin in a cross-currency context. Taken together, our findings provide insights into sharp disparity in Bitcoin trading volumes across national currencies from a portfolio theory perspective.     

Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis

The paper investigates the dynamic risk–return properties of the BRICS (Brazil, Russia, India, China, South Africa) capital markets and models potential time-varying correlations and volatility spillover effects with the US stock market. A VAR(1)–GARCH(1,1) framework contributes useful insight into US–BRICS market interactions and expands on a thin past empirical literature. A disaggregated approach pays attention to critical US–BRICS business sectors, namely the industrial and financial sectors. Significant return and volatility transmission dynamics are identified between the US and BRICS stock markets and business sectors. This is a critical input that can affect efficient global portfolio diversification and risk management strategies. Based on this empirical evidence, the study proceeds to assess effective portfolio hedge ratios and to construct optimal portfolio weights for diversified asset allocation to US–BRICS markets and business sectors.     

The price adjustment and lead-lag relations between stock returns: microstructure evidence from the Taiwan stock market

This paper investigates the price adjustment and lead-lag relations between returns on five size-based portfolios in the Taiwan stock market. It finds evidence that the price adjustment of small-stock portfolios is not slower than that of large-stock portfolios. Additionally, limited evidence supports a positive leading role of large-stock portfolio returns over small-stock portfolio returns. These two findings are substantially different from the results of previous research on developed markets.     

Diversification benefits of commodity futures

The finance literature seems to be in support of the diversification benefits of adding commodity futures to an existing portfolio. Yet no empirical work has been performed to test whether the benefits are indeed statistically significant. This paper addresses several unresolved issues concerning the potential diversification benefits of commodities. First, we attempt to ascertain whether the alleged diversification benefits exist and are statistically significant. Second, to what extent are the diversification benefits unique to US investors? Would investors of a resource-based economy like Canada also benefit from adding commodities to their portfolios? Third, recent studies indicate that correlations among international equity returns are higher during bear markets than during bull markets. This type of regime-switching correlation behavior will mean lower diversification benefits from international investments when investors face a bearish environment at home. Do commodity futures display the same type of regime-switching behavior? To what extent do commodity futures offer real diversification benefits that are robust over time and across regimes? Finally, commodities may appear to be an asset for the more adventurous investors with higher risk tolerance. We want to know what type of investors should hold commodities. We demonstrate that the diversification benefit of commodities is a far more complex phenomenon than often understood in the finance literature.     

Constructing inverse factor volatility portfolios: A risk-based asset allocation for factor investing

In this study, we investigate risk-based asset allocation approaches for factor investing strategies by constructing a multifactor portfolio based on the inverse weighting method. We propose the inverse factor volatility (IFV) strategy, which is the simplified variant of a factor risk parity, assuming constant factor correlation. In IFV portfolio construction, the portfolio's weights are determined by using scaled inverse factor volatility treated as a proxy for a targeted exposure in the optimization. Based on daily stock and index returns on global markets from 2002 to the end of 2017, we implemented the empirical analysis of IFV portfolios among three stock markets: Japan, Euro, and the US. The results obtained reveal that the IFV portfolios significantly outperformed market capitalization weighted portfolios by successfully acquiring factor risk premiums.     

Prices and returns on paintings: An exercise on how to price the priceless

Art is priceless, but paintings, and other objects, have been sold on markets since the time of the Roman Empire. In this paper, we describe a method for constructing a price index for paintings and compare this index to the indices of various financial markets. In particular, we discuss whether the price of art is related to financial markets, whether the art market is weakly efficient, and whether it is more or less risky than financial markets.     

Cashflow news,the value premium and an asset pricing view on European stock market integration

The decomposition of national CAPM market betas of European countries’ value and growth portfolio returns into cashflow and discount rate news driven components reveals that i) high average returns on value portfolios are associated with disproportionately high sensitivity to national cashflow news which corroborates recent evidence for the U.S. and ii) two-beta variants of national CAPMs capture the cross-sectional dispersion in European stock returns. The latter finding is suggestive of relatively well integrated stock markets among the core European countries and reflects basic asset pricing theory. One (national) discount factor should price any (international) asset.     

Industry costs of equity: Evidence from frontier markets

Frontier markets are considered a good destination for international diversification due to their low level of integration with global markets. However, a diversification strategy into frontier markets with respect to country factors does not optimally capture their full diversification potential. Enhancing this strategy by simultaneously incorporating industry factors improves the ability to diversify portfolio risk. We investigate the industry costs of equity in frontier markets using five asset pricing models, taking into account the differences in five regions of frontier markets, namely, Africa, Eastern Europe, the Middle East, Latin America and Caribbean, and Asia. Additionally, we examine how well the explanatory factors of developed and emerging markets can explain industry returns in frontier markets. Our results precisely identified two industries in Africa, and two industries in Eastern Europe that exhibit segmentation from developed markets, and two industries in Africa and one industry in Asia show segmentation from emerging markets. However, we document the limited temporal variation in four regions of frontier markets indicating more precise estimates than US, UK, and European ones. Unlike previous studies, our findings show that the time-varying slopes in frontier markets follow a random-walk process.     

A Note on International Portfolio Diversification with Short Selling

In this paper, the diversification benefits of using stock index futures are examined. Empirical evidence shows that traditional diversification in international equity markets does not produce a risk adjusted performance superior to the US market. An explanation for this result is that restrictions on short selling prohibit the best allocation of resources when overseas stock markets are riskier and have worse returns. However, when such restrictions are eased for short selling in index futures markets, investors are enabled to both allocate their investments more efficiently and to construct a superior portfolio.     

The impact of portfolio diversification on mean reverting components of stock indices

Positive autocorrelations are introduced into stock index portfolios when they are formed from individual stock indices while negative autocorrelations are induced in returns by increasing the investment horizon. Using monthly data of six international stock indices, this paper examines the diversification effect with different investment horizons on autocorrelations of stock index portfolios. The results show that portfolio diversification does not alter the impact of the investment horizon on autocorrelations. Different investment horizons, however, have great impact on the diversification effect on autocorrelations. With short (long) horizons, the average autocorrelation coefficient increases (decreases) with an increase in the portfolio size, suggesting that mean-reverting component dominates the delayed adjustment effect in long horizons and vice versa in short horizons. Our results are robust across two 10-year sub-periods.The author would like to thank an anonymous referee of this Journal for the comments on an earlier version of this paper and the Research Committee of Hong Kong Baptist University for the financial support in this research.