Monitoring the future. Building an early warning system for the Dutch Ministry of Justice

To determine the sustainability of the policy, an Early Warning System (EWS) has been developed for the Dutch Ministry of Justice. An EWS is used to monitor various developments and to place them within the perspective of future scenarios. Without actually predicting the future, this makes it possible to determine which scenario is the most relevant at any given moment, allowing the department to adapt its policies. Regular modifications to the EWS make it possible to monitor in the direction of which scenario society appears to be moving. This creates a path to the future with which the sustainability of (new) policies can be tested periodically.     

Unequal inequalities: Do progressive taxes reduce income inequality?

This paper analyzes the effect of changes in the structural progressivity of national income tax systems on observed and actual income inequality. Using several unique measures of progressivity over the 1981–2005 period for a large panel of countries, we find that progressivity reduces inequality in observed income, but has a significantly smaller impact on actual inequality, approximated by consumption-based Ginis. An empirical comparative analysis shows that the differential effect on observed versus actual inequality is much larger in countries with weaker legal institutions. We also find that structural progressivity has a greater equalizing effect in environments that support pro-poor redistribution. Substantial differences in inequality response to changes in top versus bottom rates are also uncovered.     

Backtesting Value-at-Risk: A Duration-Based Approach

Financial risk model evaluation or backtesting is a key partof the internal model's approach to market risk management aslaid out by the Basle Committee on Banking Supervision. However,existing backtesting methods have relatively low power in realisticsmall sample settings. Our contribution is the exploration ofnew tools for backtesting based on the duration of days betweenthe violations of the Value-at-Risk. Our Monte Carlo resultsshow that in realistic situations, the new duration-based testshave considerably better power properties than the previouslysuggested tests.     

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.     

Can stochastic discount factor models explain the cross-section of equity returns?

We propose a multivariate test of the capital asset pricing model (C-CAPM) of the cross-sectional variation in equity returns in which we compare cross-sectional variation in equity returns to the cross-sectional variation in their conditional covariance with stochastic discount factors. We use a multivariate generalized heteroskedasticity in mean model to estimate 25 portfolios that are formed on size and the book-to-market ratio. Each portfolio is allowed to have its own no-arbitrage condition. We find that although the conditional covariances of returns with consumption exhibit negative variation across size, they do not vary across the book-to-market ratio. Thus, C-CAPM can capture the size effect, but not the value effect. The fit is, however, improved by allowing the coefficients on the consumption covariances to be different. The value effect appears to be associated with the book-to-market ratio as well as size. On its own the book-to-market ratio does not generate additional information about average returns to C-CAPM. A possible explanation for these findings is that both small and low book-to-market ratio firms are expected to have higher rates of growth.