Cardinality-based equality of opportunities

We study possible rankings of opportunity profiles. An opportunity profile is a list of opportunity sets, one for each agent in the society. We compare profiles on the basis of the notion of “equality of opportunities”. Our main results show the necessary and sufficient conditions for this comparison to be made using exclusively the information provided by two cardinal measures: the number of common alternatives in all sets of a given profile and the difference between the number of alternatives in the individual sets. We also show that, under additional axioms, we can combine these criteria only in a weighted procedure or in some lexicographic refinements of a weighted procedure.      

Repeated Dichotomous Choice Formats for Elicitation of Willingness to Pay: Simultaneous Estimation and Anchoring Effect

Repeated dichotomous choice contingent valuation data are generated from responses to a succession of binary questions regarding alternative prices for an environmental good. In this paper we propose a simultaneous equation model that allows for endogeneity and error correlation across the responses at each stage of the bidding process. The model allows us to study the evolution of anchoring effects after the second dichotomous choice question. Estimation involves the Bayesian techniques of Gibbs sampling and data augmentation, and the application focuses on the preservation value of a natural area. The results for a data set involving up to four successive dichotomous choice questions show that restricted multiple-bounded models are rejected by the data with the general model. In addition, willingness to pay tends to stabilize after the second stage in the elicitation process for the general unrestricted model. When taking anchoring effects into consideration, it is revealed that individuals’ responses in the latter stages are influenced by the sequence of bid prices offered in earlier questions. Nevertheless, they do not have a significant effect on welfare estimates.      

On the short-time behavior of the implied volatility for jump-diffusion models with stochastic volatility

In this paper we use Malliavin calculus techniques to obtain an expression for the short-time behavior of the at-the-money implied volatility skew for a generalization of the Bates model, where the volatility does not need to be a diffusion or a Markov process, as the examples in Sect. 7 show. This expression depends on the derivative of the volatility in the sense of Malliavin calculus. E. Alòs’ research is supported by grants MEC FEDER MTM 2006 06427 and SEJ2006-13537. J.A. León’s research is partially supported by the CONACyT grant 45684-F. J. Vives’ research is supported by grant MEC FEDER MTM 2006 06427.     

A splitting strategy for the calibration of jump-diffusion models

Finance and Stochastics - We present a detailed analysis and implementation of a splitting strategy to identify simultaneously the local volatility surface and the jump-size distribution from...     

Does Financial Openness Matter in the Relationship Between Financial Development and Income Distribution in Latin America?

This article examines the effect of financial development on income distribution by analyzing a sample of Latin American countries according to their degree of financial openness for the 1990–2011 period. The period includes the time before and after financial liberalization for most of the countries in the region. As the literature provides inconclusive results regarding the relationship between financial development and income inequality, we aim to determine whether financial openness plays a role in this relationship. Our results provide an explanation for why some countries regardless of their degree of financial openness cannot achieve a reduction in income inequality.     

The Weekend and 'Reverse' Weekend Effects: An Analysis by Month of the Year, Week of the Month, and Industry

In this paper, we examine whether the 'reverse' weekend effect recently documented by Brusa, Liu and Schulman (2000) is concentrated in a few industries or widely spread across all the industries. The findings in this paper indicate that the 'reverse' weekend effect exists not only in broad indices, but also in most industries . The results suggest that the 'reverse' weekend effect may be driven by economic events that affect all industries, rather than industry‐specific factors . Although the patterns of Monday returns are similar between broad indices and industry indices, they are different between the pre ‐ and the post ‐1988 periods. Monday returns tend to be negative in the pre ‐1988 period, but tend to be positive in the post ‐1988 period, for both broad market indices and industry indices. These conclusions are valid even after considering the influence of the month‐of‐the‐year and the week‐of‐the‐month effects.     

The effect of US holidays on the European markets: when the cat’s away…

This paper presents evidence of the existence of a return effect on European stock markets coinciding with New York Stock Exchange (NYSE) holidays, which is particularly marked after positive closing returns on the NYSE the previous day. The effect is large enough to be exploited by trading index futures. This anomaly cannot be explained by seasonal effects, such as the day of the week effect, the January effect or the pre‐holiday effect, nor is it consistent with behavioural finance models that predict positive correlation between trading volume and returns. However, examination of factors such as information volume or investor mix provides a reasonable explanation.