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Over the last decades, spatial-interaction models have been increasingly used in economics. However, the development of a sufficiently general asymptotic theory for nonlinear spatial models has been h...
Comparisons of within and between estimators using the conventional Hausman test may besubject to statistical problems if the within variation is not su¢ ciently large. Adopting an alternative asympto...
This paper considers a sequence of discrete-time random walk markets with a safe and a single risky investment opportunity, and gives conditions for the existence of arbitrages or free lunches with va...
We study the statistics of records of a one-dimensional random walk of nsteps,starting from the origin, and in presence of a constant bias c. At each time-step the walker makes a random jump of lengt...
Boltzmann-Gibbs distribution arises as the statistical equilibrium probability distribu-tion of money among the agents of a closed economic system where random and undi-rected exchanges are allowed. W...
We provide a complete characterization of the class of one-dimensional time-homogeneous di usions consistent with a given law at an exponentially distributed time using classical results in di usion t...
Efficient simulation of rare events involving sums of heavy-tailed random vari-ables has been an active research area in applied probability in the lastfifteen years.These rare events arise in many ap...
We study the statistics of the number of records R_{n,N} for N identical and independent symmetric discrete-time random walks of n steps in one dimension, all starting at the origin at step 0. At each...
We develop a new model of random choice to study violations of the weak axiom of revealed preference. We introduce the notion of a stochastic preference and show that it implies the Luce model. Our ...
Using Random Matrix Theory, we build a covariance matrix between stocks of the BM&F-Bovespa (Bolsa de Valores, Mercadorias e Futuros de S\~ao Paulo) which is cleaned of some of the noise due to the co...
Retail finance organizations use data on past behaviour to make predictions for customer value management strategies. Random-effects models, where each individual has a behavioural pattern drawn from ...
We provide a detailed characterization of the optimal consumption stream for the additive habit-forming utility maximization problem, in a framework of general discrete-time incomplete markets and r...
Complex systems are typically represented by large ensembles of observations. Correlation matrices provide an efficient formal framework to extract information from such multivariate ensembles and i...
In simulations of some economic gas-like models, the asymptotic regime shows an exponential wealth distribution, independently of the initial wealth distribution given to the system. The appearance of...
We study some properties of eigenvalue spectra of financial correlation matrices. In particular, we investigate the nature of the large eigenvalue bulks which are observed empirically, and which have ...

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