The purpose of the regulated halts on stock exchange markets is to spread the information on the market and to protect the interests of the small shareholders. The aim of this work is to empirically investigate the trading halts on the French stock exchange market. We proceed to a detailed...

This book explains key financial concepts, mathematical tools and theories of mathematical finance. It is organized in four parts. The first brings together a number of results from discrete-time models. The second develops stochastic continuous-time models for the valuation of financial assets...

This paper investigates, in a particular parametric framework, the geometric meaning of joint unpredictability for a bivariate discrete process. In particular, the paper provides a characterization of the joint unpredictability in terms of distance between information sets in an Hilbert space.

The paper focuses on the robustness of rankings of academic journal quality and research impact of 10 leading econometrics journals taken from the Thomson Reuters ISI Web of Science (ISI) Category of Economics, using citations data from ISI and the highly accessible Research Papers in Economics...

We used the unobserved component model of Harvey (1989, 2011) to estimate the Phillips curve for the USA and Australia, augmenting it with the oil price. Our results show that while the coefficient of demand pressure and the intercept decreased, the coefficient of the oil price increased....

In the linear instrumental variables model, we characterize fixed alternatives against which the test of overidentifying restrictions (OR) is inconsistent. When there is the notion of a “true parameter”, we relate this inconsistency result to the literature on optimality properties of...

The aggregation of individual random AR(1) models generally leads to an AR(∞) process. We provide two consistent estimators of aggregate dynamics based on either a parametric regression or a minimum distance approach for use when only macro data are available. Notably, both estimators allow us...

This letter evaluates forecasts from probit models that use the slope of the yield curve to forecast recessions. These models give reliable non-probabilistic warnings of recessions, but the estimated probabilities do not match the conditional frequency of recession months.

Using an empirical likelihood approach, we show that generalized linear models can still be consistently estimated even if dependent variables are not missing at random, and derive a Hausman test by comparing this estimator to the standard one.