Do ETFs provide effective international diversification?

Global investments have been a hot issue for years. Investors can diversify risks and obtain benefits from foreign markets by investing directly in the foreign security market or indirectly in Exchange-Trade Funds (ETFs). Because direct investments are not always feasible, we investigate whether indirect investments can replace direct investments. We create different regional optimal portfolios containing ETFs and ensure optimal asset portfolio allocation. In addition to mean-variance approach, the Sharpe index, we also adopt the Campbell et al. (2001) method to have the efficient frontier under control risks, the Value at Risk. We apply both normal and non-normal distributions for comparisons and find that different assumptions of return distributions affect the results of efficient frontier. The results show that international diversification is a reasonable strategy. In addition, when comparing ETFs and target market index portfolios, ETFs have higher Sharpe measures than target market indices especially in the emerging markets. However, there are no significant performance differences between direct and indirect methods even if we use different performance measures. We also find that the diversification benefits are the same before and after the Subprime crisis. We conclude that it is effective for investors to use indirect methods to create internationally diversified portfolios.     

How do bond investors perceive dividend payouts?

We explore how bond investors view corporate cash distributions through dividends and how that view influences corporate cost of debt. Explaining between 45 and 67 percent of variance in credit spreads at the time of issuance, our model reveals a non-linear association between dividend payouts and investment return expected by bondholders. In particular, while bondholders view cash disbursements in small amounts as a positive signal, large dividend payouts are viewed negatively. Our results thus provide support for both the signaling hypothesis and for the agency-cost-of-debt hypothesis. The results are robust even after controlling for firm size, growth opportunities, profitability, leverage, business risk, asset tangibility, and term structure. Exploiting the 2003 dividend tax cut as an exogenous shock, we demonstrate that our results are not vulnerable to endogeneity problems. Finally, we find no evidence of corporations timing the payouts strategically to influence the cost of debt.     

The Effect of Socially Responsible Investing on Portfolio Performance

More and more investors apply socially responsible screens when building their stock portfolios. This raises the question whether these investors can increase their performance by incorporating such screens into their investment process. To answer this question we implement a simple trading strategy based on socially responsible ratings from the KLD Research & Analytics: Buy stocks with high socially responsible ratings and sell stocks with low socially responsible ratings. We find that this strategy leads to high abnormal returns of up to 8.7% per year. The maximum abnormal returns are reached when investors employ the best‐in‐class screening approach, use a combination of several socially responsible screens at the same time, and restrict themselves to stocks with extreme socially responsible ratings. The abnormal returns remain significant even after taking into account reasonable transaction costs.     

“Hot Hands” in bond funds

We investigate persistence in the relative performance of 3549 bond mutual funds from 1990 to 2003. We show that bond funds that display strong (weak) performance over a past period continue to do so in future periods. The out-of-sample difference in risk-adjusted return between the top and bottom decile of funds ranked on past alpha exceeds 3.5 percent per year. We demonstrate that a strategy based on past fund returns earns an economically and statistically significant abnormal return, suggesting that bond fund investors can exploit the observed persistence. Our results are robust to a wide range of model specifications and bootstrapped test statistics.     

The aggregate cost of equity underdiversification

We analyze equity diversification of all retail investors in a country (Denmark). We find that underdiversification is pervasive. We calculate the nationwide aggregate loss due to underdiversification and express it in absolute and expected‐return terms. The aggregate loss is large. We find that investors with low education, low income, and low wealth are more likely to underdiversify. Despite better diversification, the larger fraction of the aggregate loss nevertheless adheres to the top of the income/wealth distribution. Finally, our results indicate that underdiversification arises because investors have limited information about the benefits of diversification.     

What Drives ETF Flows?

The value of exchange traded fund (ETF) assets has increased from $66 billion in 2000 to almost a trillion dollars in 2010. We use this massive expansion in ETF assets to study what drives ETF flows. Using a data set of over 500 ETFs from 2001 to 2010, we show that ETF investors chase returns in the same way as mutual fund investors. While there is an active debate about whether return chasing by mutual fund investors represents the pursuit of superior talent, the existence of return chasing in this passively managed environment should not represent a search for skilled managers. We also show that ETF flows increase following high volume, small spreads, and high price/net asset value ratios. Finally, we find little evidence of superior market timing in ETF flows. Our results suggest that return chasing in both mutual funds and ETFs is more likely the result of naïve extrapolation bias on the part of investors that has contributed to the growth of the ETF industry.     

OPTIMAL PORTFOLIO SELECTION WITH A SHORTFALL PROBABILITY CONSTRAINT: EVIDENCE FROM ALTERNATIVE DISTRIBUTION FUNCTIONS

We propose a new approach to optimal portfolio selection in a downside risk framework that allocates assets by maximizing expected return subject to a shortfall probability constraint, reflecting the typical desire of a risk-averse investor to limit the maximum likely loss. Our empirical results indicate that the loss-averse portfolio outperforms the widely used mean-variance approach based on the cumulative cash values, geometric mean returns, and average risk-adjusted returns. We also evaluate the relative performance of the loss-averse portfolio with normal, symmetric thin-tailed, symmetric fat-tailed, and skewed fat-tailed return distributions in terms of average return, risk, and average risk-adjusted return.     

Global private information in international equity markets

This paper studies international equity markets when some investors have private information that is valuable for trading in many countries simultaneously. We use a dynamic model of equity trading to show that global private information helps explain US investors’ trading behavior and performance. In particular, the model predicts global return chasing (positive co-movement of US investors’ net purchases with returns in many countries) which we show to be present in the data. Return chasing in our model can be due to superior performance of US investors, not inferior knowledge or naive trend-following. We also show that trades due to private information are strongly correlated across countries. A common (global) factor accounts for about half their variation.     

Short-term patterns in government bond returns following market shocks: International evidence

We employ government bond portfolios from 17 countries in order to investigate the short-run reaction of investors to price shocks. Our findings indicate a uniform return reversal pattern across countries, that persists irrespective of various robustness tests such as different datasets (Datastream/J.P. Morgan), different maturity bands, and day-of-the-week effects. Simulated trading strategies based on our results suggest that this pattern can be employed to generate economically significant profits for many country portfolios. We also demonstrate that significant zero-investment profits are possible even when instead of the expensive to replicate country bond portfolios we employ directly tradable and low transactions cost instruments, such as Bond Futures Contracts.     

Cross-sectional forecasts of the equity premium

If investors are myopic mean-variance optimizers, a stock's expected return is linearly related to its beta in the cross-section. The slope of the relation is the cross-sectional price of risk, which should equal the expected equity premium. We use this simple observation to forecast the equity-premium time series with the cross-sectional price of risk. We also introduce novel statistical methods for testing stock-return predictability based on endogenous variables whose shocks are potentially correlated with return shocks. Our empirical tests show that the cross-sectional price of risk (1) is strongly correlated with the market's yield measures and (2) predicts equity-premium realizations, especially in the first half of our 1927–2002 sample.     

Mortgage Delivery to the Secondary Market when Interest Rates are Falling

A borrower whose loan is committed to the securitization process has the ability and incentive to switch lenders if market rates drop during the loan origination period, which creates significant exposure for primary lenders. A simple secondary market contract innovation we call a mortgage rate drop guarantee (MRDG) could shift this risk to the securitizers who represent portfolio investors. Our simulation results indicate this shifting would have improved the risk/return distribution faced by originators without damaging the risk/return position of securitizers during our 1977–2010 sample period. Assuming conservative loan lives and origination periods, and competitive lending markets, the risk reduction features of MRDGs could also have generated significant interest savings for borrowers.     

MARKET TIMING OF INTERNATIONAL STOCK MARKETS USING THE YIELD SPREAD

We use probit modeling to forecast bear stock markets in the United States and in eight major foreign stock markets. In general, we find that the U.S. yield spread contains more important market‐timing information than does the home‐country yield spread for profitable market timing. At a 35% probability screen, our simulations show that the U.S. dollar (representative local currency) investor could earn a median compound annual return across eight foreign (non‐U.S.) stock markets of 15.75% (17.67%) by following a market‐timing strategy versus a median buy‐and‐hold return of 13.56% (16.55%).     

Financial market models with Lévy processes and time-varying volatility

Asset management and pricing models require the proper modeling of the return distribution of financial assets. While the return distribution used in the traditional theories of asset pricing and portfolio selection is the normal distribution, numerous studies that have investigated the empirical behavior of asset returns in financial markets throughout the world reject the hypothesis that asset return distributions are normally distribution. Alternative models for describing return distributions have been proposed since the 1960s, with the strongest empirical and theoretical support being provided for the family of stable distributions (with the normal distribution being a special case of this distribution). Since the turn of the century, specific forms of the stable distribution have been proposed and tested that better fit the observed behavior of historical return distributions. More specifically, subclasses of the tempered stable distribution have been proposed. In this paper, we propose one such subclass of the tempered stable distribution which we refer to as the “KR distribution”. We empirically test this distribution as well as two other recently proposed subclasses of the tempered stable distribution: the Carr–Geman–Madan–Yor (CGMY) distribution and the modified tempered stable (MTS) distribution. The advantage of the KR distribution over the other two distributions is that it has more flexible tail parameters. For these three subclasses of the tempered stable distribution, which are infinitely divisible and have exponential moments for some neighborhood of zero, we generate the exponential Lévy market models induced from them. We then construct a new GARCH model with the infinitely divisible distributed innovation and three subclasses of that GARCH model that incorporates three observed properties of asset returns: volatility clustering, fat tails, and skewness. We formulate the algorithm to find the risk-neutral return processes for those GARCH models using the “change of measure” for the tempered stable distributions. To compare the performance of those exponential Lévy models and the GARCH models, we report the results of the parameters estimated for the S&P 500 index and investigate the out-of-sample forecasting performance for those GARCH models for the S&P 500 option prices.     

Momentum strategies based on reward–risk stock selection criteria

In this paper, we analyze momentum strategies that are based on reward–risk stock selection criteria in contrast to ordinary momentum strategies based on a cumulative return criterion. Reward–risk stock selection criteria include the standard Sharpe ratio with variance as a risk measure, and alternative reward–risk ratios with the expected shortfall as a risk measure. We investigate momentum strategies using 517 stocks in the S&P 500 universe in the period 1996–2003. Although the cumulative return criterion provides the highest average monthly momentum profits of 1.3% compared to the monthly profit of 0.86% for the best alternative criterion, the alternative ratios provide better risk-adjusted returns measured on an independent risk-adjusted performance measure. We also provide evidence on unique distributional properties of extreme momentum portfolios analyzed within the framework of general non-normal stable Paretian distributions. Specifically, for every stock selection criterion, loser portfolios have the lowest tail index and tail index of winner portfolios is lower than that of middle deciles. The lower tail index is associated with a lower mean strategy. The lowest tail index is obtained for the cumulative return strategy. Given our data-set, these findings indicate that the cumulative return strategy obtains higher profits with the acceptance of higher tail risk, while strategies based on reward–risk criteria obtain better risk-adjusted performance with the acceptance of the lower tail risk.     

Higher risk,lower returns: What hedge fund investors really earn

The returns of hedge fund investors depend not only on the returns of the funds they hold but also on the timing and magnitude of their capital flows in and out of these funds. We use dollar-weighted returns (a form of Internal Rate of Return (IRR)) to assess the properties of actual investor returns on hedge funds and compare them to buy-and-hold fund returns. Our main finding is that annualized dollar-weighted returns are on the magnitude of 3% to 7% lower than corresponding buy-and-hold fund returns. Using factor models of risk and the estimated dollar-weighted performance gap, we find that the real alpha of hedge fund investors is close to zero. In absolute terms, dollar-weighted returns are reliably lower than the return on the Standard & Poor's (S&P) 500 index, and are only marginally higher than the risk-free rate as of the end of 2008. The combined impression from these results is that the return experience of hedge fund investors is much worse than previously thought.     

The day-of-the-week effect and conditional volatility: Sensitivity of error distributional assumptions

We test for reliable evidence of the day-of-the-week effect on both the mean and volatility for the S&P/TSX Canadian return index. Unlike previous studies, we permit several specifications for the error distribution — GARCH normal, Student's t, generalized error distribution, and double exponential distribution. Unlike other studies, we find that the day-of-the-week effect in both mean and conditional volatility is sensitive to the particular specification of the underlying distributions. We also find that using a regression analysis assuming a Student's t distribution is a better way to investigate this effect. Our evidence demonstrates the apparent fragility of previous empirical studies on calendar anomalies. Thus, our results serve as a warning that with financial data, the error distributional assumptions are critical to correctly identifying empirical regularities in the data.     

Stock return predictability in emerging markets: Does the choice of predictors and models matter across countries?

This study aims to examine return predictability in 24 emerging markets disaggregated in different regions. We propose four specifications, including a benchmark model. Then, an augmented model appropriate for each country, including a large set of potential factors, is evaluated. Furthermore, a dynamic multifactor model is investigated for all countries. Finally, we relax the symmetric hypothesis in asset return predictability based on a non-parametric non-linear approach: the projection pursuit regression model. Our study reveals three main findings. First, we reject all previous findings supporting a standard model of asset return predictability that is valuable for all countries, as we show that each country has specific domestic factors (both macroeconomic and financial) useful to predict future returns. Second, our empirical framework shows that asset return predictability might be robustly modelled based on non-linear specification based on the projection pursuit regression model. Our findings’ explanatory power of out-of-sample estimations is economically relevant. Our results are useful for investors and policy-makers for portfolio diversification and regulation policies.     

The Economic Value of Corporate Eco‐Efficiency

This study adds new insights to the long‐running corporate environmental‐financial performance debate by focusing on the concept of eco‐efficiency. Using a new database of eco‐efficiency scores, we analyse the relation between eco‐efficiency and financial performance from 1997 to 2004. We report that eco‐efficiency relates positively to operating performance and market value. Moreover, our results suggest that the market's valuation of environmental performance has been time variant, which may indicate that the market incorporates environmental information with a drift. Although environmental leaders initially did not sell at a premium relative to laggards, the valuation differential increased significantly over time. Our results have implications for company managers, who evidently do not have to overcome a tradeoff between eco‐efficiency and financial performance, and for investors, who can exploit environmental information for investment decisions.     

IPO auctions and private information

IPO auctions, which provide an impartial way of determining IPO pricing and share allocations, offer a natural setting for examining whether institutional investors possess private information, and for measuring how valuable their information is. Analyzing detailed bidding data from Taiwan’s discriminatory (pay-as-bid) auctions, we find that, relative to retail investors, institutional investors tend to bid higher in auctions when IPO shares are more valuable, and that underpricing is larger in auctions with relatively higher institutional bids. These results imply that institutional investors are better informed about IPO value, and that they obtain higher information rents when they bid higher relative to retail investors. We estimate the value of institutional investors’ private information to be worth about 8.68% of return, which is the extra rate of return they command on their informational advantages over retail investors.