Does the Dollar Index Really Measure Outward Orientation?

This paper assesses an important attempt to measure 'trade orientation' by a World Bank economist, David Dollar. Recognising the difficulties in measuring trade openness, Dollar (1992) produced an index of outward orientation. He adjusted national price levels with factor endowments, and used the difference between actual and predicted price levels as a measure of real exchange rate distortion. Although the 'Dollar index' was produced almost ten years ago and has been subject to various criticisms, it still remains the most popular measure of trade openness. First, this paper argues that the critics have not been entirely successful in discrediting the index. It goes on to produce alternative theoretical and empirical evidence that suggests that the Dollar index has fundamental flaws, and thus has no relevance to the debate on trade orientation and should be abandoned.     

External debt,growth and investment for developing countries: some evidence for the debt overhang hypothesis

Portuguese Economic Journal - We investigate the effect of total, public, and private external debt stocks on the growth rate and also on total, government, and private investment by using data for...     

CORRUPTION AND FOREIGN DIRECT INVESTMENT: A PANEL GRAVITY MODEL APPROACH

This paper investigates the relationship between corruption and foreign direct investment (FDI) in the case of 15 transition countries by using a panel gravity model approach and suggests that corruption does not deter FDI.     

Value at risk and the cross-section of hedge fund returns

Using two large hedge fund databases, this paper empirically tests the presence and significance of a cross-sectional relation between hedge fund returns and value at risk (VaR). The univariate and bivariate portfolio-level analyses as well as the fund-level regression results indicate a significantly positive relation between VaR and the cross-section of expected returns on live funds. During the period of January 1995 to December 2003, the live funds with high VaR outperform those with low VaR by an annual return difference of 9%. This risk-return tradeoff holds even after controlling for age, size, and liquidity factors. Furthermore, the risk profile of defunct funds is found to be different from that of live funds. The relation between downside risk and expected return is found to be negative for defunct funds because taking high risk by these funds can wipe out fund capital, and hence they become defunct. Meanwhile, voluntary closure makes some well performed funds with large assets and low risk fall into the defunct category. Hence, the risk-return relation for defunct funds is more complicated than what implies by survival. We demonstrate how to distinguish live funds from defunct funds on an ex ante basis. A trading rule based on buying the expected to live funds and selling the expected to disappear funds provides an annual profit of 8–10% depending on the investment horizons.     

The intertemporal relation between expected returns and risk

This paper explores the time-series relation between expected returns and risk for a large cross section of industry and size/book-to-market portfolios. I use a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model to estimate a portfolio's conditional covariance with the market and then test whether the conditional covariance predicts time–variation in the portfolio's expected return. Restricting the slope to be the same across assets, the risk-return coefficient is highly significant with a risk–aversion coefficient (slope) between one and five. The results are robust to different portfolio formations, alternative GARCH specifications, additional state variables, and small sample biases. When conditional covariances are replaced by conditional betas, the risk premium on beta is estimated to be in the range of 3% to 5% per annum and is statistically significant.     

Is there a risk–return trade‐off? Evidence from high‐frequency data

This paper examines the intertemporal relation between risk and return for the aggregate stock market using high‐frequency data. We use daily realized, GARCH, implied, and range‐based volatility estimators to determine the existence and significance of a risk–return trade‐off for several stock market indices. We find a positive and statistically significant relation between the conditional mean and conditional volatility of market returns at the daily level. This result is robust to alternative specifications of the volatility process, across different measures of market return and sample periods, and after controlling for macro‐economic variables associated with business cycle fluctuations. We also analyze the risk–return relationship over time using rolling regressions, and find that the strong positive relation persists throughout our sample period. The market risk measures adopted in the paper add power to the analysis by incorporating valuable information, either by taking advantage of high‐frequency intraday data (in the case of realized, GARCH, and range volatility) or by utilizing the market's expectation of future volatility (in the case of implied volatility index). Copyright © 2006 John Wiley & Sons, Ltd.     

Long-term reversals in the corporate bond market

Long-term reversals in corporate bonds are economically and statistically significant in a comprehensive sample spanning the period 1977 to 2017. Such reversals are stronger for bonds with high credit risk and more binding regulatory, capital, and funding liquidity constraints. Bond long-term reversal is not a manifestation of the equity counterpart and is mainly driven by long-term losers. A long-term reversal factor carries a sizable premium and is not explained by long-established equity and bond market factors. Thus, past returns capture investors’ ex-ante risk assessment and the degree of institutional constraints they face, so losing bonds command higher expected returns.     

Bonds versus stocks: Investors’ age and risk taking

It has become increasingly popular to advise investors to relocate their funds from a primarily stock portfolio to a primarily bond portfolio as they get older. However, the well-known decision rules such as mean–variance or stochastic dominance rules are unable to explain this common practice. Almost stochastic dominance (ASD) and almost mean–variance (AMV) approaches are used to examine the dominance of stock and bond portfolios. ASD and AMV rules unambiguously support the popular practice of advising higher stock to bond ratio for long investment horizons. Hence, we provide an explanation to the practitioners’ recommendation within the expected utility paradigm.     

Do liberal trade policies promote trade openness?

Although trade liberalization and trade openness are assumed to be strongly associated with each other and often used interchangeably, the empirical evidence has not been forthcoming. This article is an attempt to fill this gap. By investigating the link between trade openness and trade restrictions, it argues that while a negative link between various types of trade restrictions and trade openness is evident, the relationship is weak, statistically not always significant and there is no clear evidence that the removal of trade restrictions (trade‐liberalization) invariably leads to improved trade openness.