Risk Exposures and International Diversification: Evidence from iShares

Abstract:   We examine the newly developed international diversification instruments–iShares traded on the American Stock Exchange. Given the fact that iShares can be created and redeemed at will, the daily price of an iShare is expected to be equal to the daily portfolio value of the underlying assets in the home‐country market. Therefore, theoretically, iShare pricing should be influenced by the risk from the iShare's home‐country market and not the risk from the US market, per se . We evaluate the risk exposure of iShare prices to the US market (non‐fundamental effect) as well as the home‐country market (the fundamental effect). We find that most iShare returns are significantly influenced by and sensitive to the US market risk. Moreover, the US market appears to be the key permanent driving factor and the home‐country market is a pronounced transitory driving force for iShare prices. These findings indicate the presence of limits of international arbitrage for iShares. As a result, the international diversification benefits of iShares become questionable.     

iShares Australia: a clinical study in international behavioral finance

Using iShares Australia returns as a proxy for the influence of overseas investors in the Australian market, we found that U.S.-based investors in the Australian market overreact to contemporaneous and lagged returns of the U.S. equity market, the U.S.-Australian dollar exchange rate, and past iShares Australia returns. In response to changing conditional risk, however, investors behave rationally: increasing (decreasing) expected risk is associated with falling (rising) prices. In light of these findings, we hypothesize that behavioral finance might explain the observed correlations between international equity markets.     

Stochastic Dominance Analysis of iShares

Abstract

Country indices as represented by iShares exhibit non-normal return distributions with both skewness and kurtosis. Earlier studies provide procedures for determining the statistical significance of stochastic dominance measures and the Sharpe Ratio. This present study uses these refinements to compare the performance of 18 country market indices. The iShares are indistinguishable when using the Sharpe Ratio as no significant differences are found. In contrast, stochastic dominance procedures identify dominant iShares. Although the results vary over time, stochastic dominance appears to be both more robust and discriminating than the CAPM in the ranking of the iShares.     

Diversification Benefits of iShares and Closed-End Country Funds

We study the performance and diversification of iShares and their rival closed‐end country funds from April 1996 to December 1999. International iShares are country‐specific series of securities that track the price and yield of a specific Morgan Stanley Capital Internation (MSCI) country index and, presumably, should provide diversification benefits. Our single‐index model demonstrates that iShares replicate the home index, showing some potential for diversification. However, our two‐factor model, which isolates the “true” diversification virtues, documents that both iShares and closed‐end country fund market prices maintain considerable exposure to the U.S. market. Furthermore, the net asset value returns of the closed‐end funds demonstrate a strong home country exposure, suggesting there is no substitute for direct foreign investment.     

Pricing assets with higher moments: Evidence from the Australian and us stock markets

This paper investigates the importance of higher moments of return distributions in capturing the variation of average stock returns for companies listed in the leading S&P US and Australian indices. We find that Australian stocks are more negatively skewed but less leptokurtic than US stocks. As a result, we find that co-skewness plays a more important role in explaining Australian returns while co-kurtosis is consistently influential for US stock returns. We postulate that the differences in results are related to the underlying firm characteristics of the companies in the two indices, where principally the Australian firms are noticeably smaller than their US counterparts and concentrated in a smaller number industry sectors. This implies that for many smaller exchanges around the world higher moment characteristics displayed by the US market may not be applicable. We also show our results are robust to partly explaining average stock returns in the presence of size, value, and momentum effects.     

Optimization,cointegration and diversification gains from international portfolios: an out-of-sample analysis

This study investigates comparative performance of iShares and their underlying market indices in a portfolio context from the perspective of U.S. investors. Two aspects are important. First, portfolios based on standard optimization procedures and a portfolio based on cointegration procedures are created and out-of-sample performance is compared. The portfolio utilizing cointegration inputs shows superior out-of-sample performance. Second, portfolio performance measurement is extended to different holding periods. The findings do not differ.     

Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms

Security indices are the main tools for evaluation of the status of financial markets. Moreover, a main part of the economy of any country is constituted of investment in stock markets. Therefore, investors could maximize the return of investment if it becomes possible to predict the future trend of stock market with appropriate methods. The nonlinearity and nonstationarity of financial series make their prediction complicated. This study seeks to evaluate the prediction power of machine‐learning models in a stock market. The data used in this study include the daily close price data of iShares MSCI United Kingdom exchange‐traded fund from January 2015 to June 2018. The prediction process is done through four models of machine‐learning algorithms. The results indicate that the deep learning method is better in prediction than the other methods, and the support vector regression method is in the next rank with respect to neural network and random forest methods with less error.     

Climate transition risk,profitability and stock prices

We investigate whether climate transition risk is reflected in the financial performance and cross-section pricing of publicly-traded European and US firms. Using a firm-level carbon risk score (CRS) that assesses the vulnerability of a firm's value to transition to a low-carbon economy, we find that firms with the lowest transition risk exposures perform better financially, and that European firms are more sensitive to transition risks than US firms. We also find that stocks with low exposure to transition risk offer greater returns to investors, consistent with the fact that stock prices of firms do not adequately reflect underlying climate transition risk. Relative financial performance of less vulnerable firms and underreaction effects to transition risk decreased after COP21.     

Why do closed-end country funds trade at enormous premiums during currency crises?

We investigate the response of US traded country fund premiums to currency crises in related foreign (local) markets. Our analysis includes 25 currency crises over the past decade involving 18 funds investing in 12 emerging markets, and 7 funds investing in 6 developed markets. We find that fund premiums and the volatility of the premiums increase dramatically in response to a currency crisis, both for emerging and developed markets funds, and that these effects dissipate slowly over time. Our results show that country fund shares and net asset values (NAVs) have differential risk exposures and that these differences are exacerbated during a crisis. While the NAV returns show sensitivity to changes in the local market index, share returns are sensitive to changes in both local and world market indices. Therefore, in response to a currency crisis, when local stock markets decrease in value, fund NAVs react more strongly than their share prices which have a strong global component. We also show that the high premiums observed during currency crises are not due to the reluctance of investors to trade and realize losses.     

Volatility and correlation in international stock markets and the role of exchange rate fluctuations

This paper develops a direct, explicit model for the role of exchange rate fluctuations in international stock markets and examines how and to what extent volatility and correlations in equity markets are influenced by exchange rate fluctuations. Evidence presented in this paper indicates that a higher foreign exchange rate variability mostly increases local stock market volatility but decreases volatility for the US stock market. The extent to which stock market volatility is influenced by foreign exchange variability is greater for local markets than for the US market, due to the fact that exchange rate changes are more strongly correlated with local equity market returns than the US market returns. We find that a higher exchange rate fluctuation marginally decreases the US/local equity market correlation. While exchange rate fluctuations held a relatively large fraction of the variation in local stock market returns, there was no significant influence on the US/local equity market correlation.     

Portfolio preferences of foreign institutional investors

This paper examines the investment allocation choices of actively-managed US mutual funds in emerging market equities after the market crises of the 1990s. We analyze both country- and firm-level disclosure and institutional policies that influence mutual funds’ allocation choices relative to major stock market indices. At the country level, we find that US funds invest more in open emerging markets with stronger accounting standards, shareholder rights, and legal frameworks. At the firm level, US funds are found to invest more in firms that adopt discretionary policies such as greater accounting transparency and the issuance of an ADR. Our results suggest that steps can be taken both at the country and the firm level to create an environment conducive to foreign institutional investment.     

Day and night returns of Chinese ADRs

Are the returns of Chinese American Depositary Receipts (ADR) more affected by the US market or their underlying home market? We separate Chinese ADR daily returns into day and night returns to investigate the different market effects on ADR pricing. We compare “homeless” ADRs to home-based or cross-listed ADRs to see if they are affected differently by market factors. We find the night returns of Chinese ADRs are significantly affected by their home market (either the Hong Kong market or mainland China market) daily returns and the US market night returns. The US day returns appear to be the most significant pricing factor for the day returns of Chinese ADRs. The homeless ADRs are more affected by the US market and less affected by their home market compared to the cross-listed ADRs.     

Stock market risk in the financial crisis

In this paper, we look at the effect of the financial crisis from an angle overlooked to date in the finance literature by investigating composition effects arising from the financial crisis. A composition effect is a change in the market risk of a sector that is caused not by a direct change in that sector but by a change in another sector that affects the composition of the stock market. In the paper we investigate the pre and during crisis market risk of the industrial, banking and utilities sectors. Amongst other results, we find a positive relationship across the G12 countries between the increase in the market risk of industrials during the crisis and both the pre-crisis market risk of the banking sector and the scale of the systemic crisis in a country. The six G12 countries that experienced a major systematic banking crisis are amongst the seven countries with the largest increases in the market risk for industrials. Results drawn from our detailed analysis using US data are consistent with these findings. Finally, we show how the results add to our understanding of the linkages between the financial and real sector and conclude that composition effects of the financial crisis could have a significant chilling effect on investment in industrials, which is in addition to the effect of other linkages already documented.     

The role of exchange rates in intertemporal risk–return relations

This paper investigates the significance of an intertemporal relation between expected returns on countries’ stock market portfolios and their risk exposures to the world market portfolio. We find that the intertemporal risk–return relation differs significantly under different currency denominations. The slope coefficient is the largest at around seven when the returns are denominated in Japanese yen, moderate at about five when the returns are denominated in the Canadian or US dollars, and the smallest at around three when the returns are denominated in pound or euro and its predecessors. The ranking of the risk–return coefficients across different currency denominations remains the same when we replace country equity indices with global industry portfolios in estimating the intertemporal relations, when we change the return frequency from monthly to daily, and when we consider different specifications for the conditional covariance process.     

Price discovery in carbon exchange traded fund markets

In this study, we analyze the price discovery in four carbon exchange-traded funds (ETF) markets: (i) VanEck Low Carbon Energy ETF (Vaneck), (ii) iShares MSCI ACWI Low Carbon Target ETF (iShare), (iii) SPDR MCSI ACWI Climate Paris Aligned ETF (SPDR), and (iv) Xtrackers Emerging Markets Carbon Reduction and Climate Improvers ETF (Xtrackers) using daily closing prices of the four carbon ETFs from December 6, 2018, to November 30, 2022. All four ETF prices are found to have a single unit root implying the efficiency of these ETF markets (LeRoy 1989). However, Johansen's (1991) cointegration test reveals that these four ETFs are driven by not one but three common stochastic trends. Further Analysis reveals that iShares and SPDR markets are driven by the same market force (common stochastic trend). Based on the generalized information share (GIS), we find that approximately 57.89% and 42.11% of the price discovery occurs in the iShares and SPDR markets, respectively. We further analyze the impact of the COVID-19 pandemic by dividing the whole sample into pre-COVID and COVID subsamples. In the pre-COVID period, the GIS measures for the iShares and SPDR are 88.69% and 11.31%, respectively. However, GIS measures for the iShares and SPDR are 1.04% and 98.96%, respectively, in the COVID period indicating a significant impact of COVID-19 on price discovery.     

On the premiums of iShares

We show that the newly developed exchange-traded world equity index funds, or iShares, trade at economically significant premiums for 10–50% of the times even after controlling for transaction costs and time-zone measurement errors. Moreover, iShares price returns exhibit excessive volatility relative to their NAV returns. These findings suggest a limit of arbitrage in the international iShares market where iShares can be created and redeemed at will and premiums that exceed the creation/redemption transaction costs should be immediately arbitraged away. However, our cointegration and persistence profile analyses indicate that the deviations of most iShares' prices from their NAVs are not persistent and converge to zero within two days. We propose several rational factors to explain the absolute value of iShares premiums. The panel regression results suggest that institutional ownership, bid–ask spread, trading volume, exchange rate volatility, political and financial crises and, to a lesser extent, the conditional correlation between the U.S. and home markets are the significant driving factors of the size of iShares premiums. However, a significant variation of the premiums still remains unexplained, which suggests that behavioral factors may account for some mispricing.     

Overreaction of country ETFs to US market returns: Intraday vs. daily horizons and the role of synchronized trading

In this paper we study the intraday price formation process of country Exchange Traded Funds (ETFs). We identify specific parts of the US trading day during which Net Asset Values (NAVs), currency rates, premiums and discounts, and the S&P 500 index have special effects on ETF prices, and characterize a special intraday and overnight updating structure between these variables and country ETF prices. Our findings suggest a structural difference between synchronized and non-synchronized trading hours. While during synchronized trading hours ETF prices are mostly driven by their NAV returns, during non-synchronized trading hours the S&P 500 index has a dominant effect. This effect also exceeds the one that the S&P 500 index has on the underlying foreign indices and suggests an overreaction to US market returns when foreign markets are closed.     

Diversification gains from American depositary receipts and foreign equities: evidence from Australian stocks

We investigate the relative advantages of American depositary receipts (ADRs), the underlying Australian stocks and the Australian equity index for a US investor seeking international diversification. We find that the ADR market is priced efficiently that the ‘law of one price’ holds. However, ADRs have an economically significant higher reward/risk ratio than underlying stocks, partly due to lower transactions cost. ADRs have a low correlation with the US market under high states of global and regional shocks. Portfolio managers could use the ADRs directly in enhanced indexing strategies. The dominant information flow is found to occur from the underlying stocks to the ADRs, while at the aggregate level the information flow is primarily from the US to the Australian market.     

Daily pricing of emerging market sovereign CDS before and during the global financial crisis

In this paper, we study the determinants of daily spreads for emerging market sovereign credit default swaps (CDSs) over the period April 2002–December 2011. Using GARCH models, we find, first, that daily CDS spreads for emerging market sovereigns are more related to global and regional risk premia than to country-specific risk factors. This result is particularly evident during the second subsample (August 2007–December 2011), where neither macroeconomic variables nor country ratings significantly explain CDS spread changes. Second, measures of US bond, equity, and CDX High Yield returns, as well as emerging market credit returns, are the most dominant drivers of CDS spread changes. Finally, our analysis suggests that CDS spreads are more strongly influenced by international spillover effects during periods of market stress than during normal times.     

Convergent synergies in the global market for corporate control

We investigate the informational role of the takeover premium as a forward looking price to expected synergies in the global market for corporate control. We find that premiums paid in the global market for corporate control are clustered in waves and driven to some extent by the US premium. International takeover premiums have become more responsive to US premiums as the globalization process evolved over time. Short-run divergent dynamics due to idiosyncratic or country-specific factors have become less severe, which suggests that expected synergies have become increasingly integrated in the global market for corporate control. Furthermore, we find that the region’s takeover premiums typically become more responsive to US takeover premiums when US economic conditions are relatively weak, when the US monetary policy is restrictive, when US credit risk is high, and when the region’s corporate governance (as measured by legal system quality and accounting quality) is high.