Methodology of measuring performance in alternative investment

The development of alternative investment has highlighted the limitations of standard performance measures like the Sharpe ratio, primarily because alternative strategies yield returns distributions which can be far from gaussian. In this paper, we propose a new framework in which trades, portfolios or strategies of various types can be analysed regardless of assumptions on payoff. The proposed class of measures is derived from natural and simple properties of the asset allocation. We establish representation results which allow us to describe our set of measures and involve the log-Laplace transform of the asset distribution. These measures include as particular cases the squared Sharpe ratio, Stutzer's rank ordering index and Hodges' Generalised Sharpe Ratio. Any measure is shown to be proportional to the squared Sharpe ratio for gaussian distributions. For non gaussian distributions, asymmetry and fat tails are taken into account. More precisely, the risk preferences are separated into gaussian and non-gaussian risk aversions.Alternative investment, performance measure, additive independence condition, generalised Sharpe ratio, portfolio optimization.

Neighborhood Effects, Public Housing and Unemployment in France

This paper is aimed to examine how individual unemployment is influenced both by location in a deprived neighborhood and public housing. Of course, measuring neighborhood effects raises the issue of location choice endogeneity, which generates correlated effects (Moffitt, 2001; Durlauf, 2004). Indeed, individuals with similar socio-economic characteristics, labor-market outcomes, and unobservable traits tend to sort themselves into certain parts of the urban space. In this paper, we investigate the possibility to deal with endogeneity of location choices by means of a non-linear model, that offers conditions under which group effects may be identified (Brock, Durlauf, 2003 and 2004). Specifically, in a preliminary data analysis step, we classify neighborhoods as deprived or not deprived and then estimate a simultaneous probit model of (i) public housing accommodation, (ii) type of neighborhood, and (iii) unemployment, allowing for non-zero correlations between the error terms of the three equations. The large share of public housing units in France and their concentration in poor neighborhoods, where they may represent as much as two thirds of housing units, allow us to use public housing accommodation as a powerful determinant of location in these neighborhoods. Estimations of this simultaneous probit model by simulated maximum likelihood are performed on a sample of approximately 10,000 individuals, taken from the 1999 French Census and representing about five percents of households' heads participating in the labor-market in Lyon, the third largest city in France. Our results show that public housing does not have any direct effect on unemployment. However, living within the 35% more deprived neighborhoods does increase the unemployment probability significantly. Our estimate is comparable to that Topa (2001) obtained for Chicago. As expected, the effect of neighborhood substantially decreases when dealing with the endogeneity of neighborhood and when using public housing as a determinant of neighborhood choice.

Neighborhood effects on unemployment ? A test à la Altonji

The aim of this paper is to test for the influence of neighborhood deprivation on individual unemployment probability in the case of Lyon (France). We estimate a bivariate probit model of unemployment and location in a deprived neighborhood. Our identification strategy is twofold. First, we instrument neighborhood type by the gender composition of household’s children and the spouse’s workplace. Second, we use the methodology proposed by Altonji et al. (2005), that in our case consists in making hypotheses as to the correlation between the unobservables that determine unemployment and the unobservables that influence the selection into neighborhood types. Our results show that the effect of neighborhood deprivation is not significantly different from zero in the bivariate probit with exclusion restrictions. We also show that a correlation of the unobservables as low as ten percent of the correlation of observables is sufficient to explain the positive neighborhood effect that is observed when endogeneity is not accounted for.neighborhood effects, unemployment, simultaneous probit models, instrumental variables, selection on unobservables

Neighborhood effects, public housing and unemployment in France

This paper is aimed to examine how individual unemployment is influenced both by location in a deprived neighborhood and public housing. Our identification strategy is twofold. First, because we estimate a simultaneous probit model of public housing accommodation, type of neighborhood, and unemployment, the formal identification of the model relies on non-linearities. Second, we take advantage of the location of the public housing sector in France, which allows us to use public housing accommodation as a powerful determinant of neighborhood choices. Our results show that public housing does not have any direct effect on unemployment. However, living within the 35% more deprived neighborhoods does increase the unemployment probability significantly. As expected, the effect of neighborhood substantially decreases when dealing with the endogeneity of neighborhood and when using public housing as a determinant of neighborhood choice.full information maximum likehood; neighborhood effects; public housing; simultaneous probit models; unemployment

Does public housing occupancy increase unemployment?

This paper shows that living in public housing has no effect on the probability of being unemployed in France, once we account for the endogeneity of public housing. We estimate a simultaneous probit model of unemployment and public housing. On a first sample for Lyon, we instrument public housing with the gender composition of children. On a second national sample, the instrument is the city-level share of public housing. Both samples yield the same conclusion, which we justify by showing that a small amount of selection on unobservables is enough to eliminate the positive effect found in “naive” estimates.Public housing; unemployment; simultaneous probit models; instrumental variables

Neighborhood effects, public housing and unemployment in France

This paper is aimed at examining how individual unemployment is influenced both by location in a deprived neighborhood and public housing. Our identification strategy is twofold. First, we estimate a simultaneous probit model of public housing accommodation, type of neighborhood, and unemployment, thus accounting explicitely for correlation of unobservables between the three behaviors. Second, we take advantage of the situation of the public housing sector in France, which allows us to use public housing accommodation as a powerfuldeterminant of neighborhood choices and to use household's demographic characteristics as exclusion restrictions. Our results show that public housing does not have any direct effect on unemployment. However, living within the 35% more deprived neighborhoods does increase the unemployment probability significantly. As expected, the effect of neighborhood substantially decreases when dealing with the endogeneity of neighborhood and when using public housing as a determinant of neighborhood choice.Neighborhood effects ; public housing ; unemployment ; simultaneous probit models ; simulated maximum likelihood

Dynamic models of residential segregation: brief review, analytical resolution and study of the introduction of coordination

In his 1971's Dynamic Models of Segregation paper, the economist Thomas C. Schelling showed that a small preference for one's neighbors to be of the same color could lead to total segregation, even if total segregation does not correspond to individual preferences and to a residential configuration maximizing the collective utility. The present work is aimed at deepening the understanding of the properties of dynamic models of segregation based on Schelling's hypotheses. Its main contributions are (i) to offer a comprehensive and up-to-date review of this family of models; (ii) to provide an analytical solution to the most general form of this model under rather general assumptions; to the best of our knowledge, such a solution did not exist so far; (iii) to analyse the effect of two devices aimed at decreasing segregation in such a model.Comment: 52 pages, 21 figures, working pape

Does public housing occupancy increase unemployment?

In order to test for the effect of public housing occupancy on unemployment, we estimate a simultaneous probit model of unemployment and public housing. On a first sample, we instrument public housing with the gender composition of children. On a second sample, the instrument is the share of public housing at the city level. We also perform a robustness check that consists in measuring the correlation between unobservables that could explain the effect of public housing on unemployment. As the corresponding level of correlation is low, this check reinforces our result of no effect of public housing on unemployment.public housing, unemployment, simultaneous probit models, instrumental variables.

A spatial analysis of residential land prices in Belgium : accessibility, linguistic border and environmental amenities

This paper explores the spatial variation of land prices in Belgium. The originality of the methodology is threefold : (1) to work at the spatial extent of an entire country, (2) to compute several accessibility measures to all jobs and several representations of the environmental amenities and, more importantly, (3) to test the hypothesis that jobs influence land prices only in the same linguistic region. Spatial autocorrelation is accounted for by estimating spatial models. The results show that the linguistic border acts as a strong barrier in the spatial pattern of land prices and that environmental variables have no significant effect at this scale of spatial analysis.land price ; accessibility ; border effect ; environment ; Belgium

Dynamic models of residential ségrégation: an analytical solution

We propose an analytical resolution of Schelling segregation model for a general class of utility functions. Using evolutionary game theory, we provide conditions under which a potential function, which characterizes the global configuration of the city and is maximized in the stationary state, exists. We use this potential function to analyze the outcome of the model for three utility functions corresponding to different degrees of preference for mixed neighborhoods. Schelling original utility function is shown to drive segregation at the expense of collective utility. If agents have a strict preference for mixed neighborhoods but still prefer being in the majority versus in the minority, the model converges to perfectly segregated configurations, which clearly diverge from the social optimum. Departing from earlier literature, these conclusions are based on analytical results. These results pave the way to the analysis of many structures of preferences, for instance those based on empirical findings concerning racial preferences. As a by-product, our analysis builds a bridge between Schelling model and the Duncan and Duncan segregation index.Residential segregation ; Schelling ; dynamic model ; potential function ; social preferences