This paper analyzes the ability of unconventional monetary policies to reduce the spread between the credit and the short-term policy interest rates. We provide a theoretical framework based on the bank-lending channel that incorporates an interbank money market. The proposed model shows that...

This paper proposes a network regression model to account for peer contextual effects on the outcome variable. In contrast to the literature, we estimate the interaction matrix that defines the network structure. Spill-over effects are modelled as a functional coefficient that is approximated...

This article predicts the relative performance of hedge fund investment styles one period ahead using time-varying conditional stochastic dominance tests. These tests allow the construction of dynamic trading strategies based on nonparametric density forecasts of hedge fund returns. During the...

Grounded on the concept of cointegration, this paper develops a novel test of time series convergence between pairs of unit root processes. The test (i) does not require the estimation of the cointegration coeffcient, (ii) is robust to general forms of weak dependence in the transitory...

This paper proposes a methodology to predict the increase in the number of confirmed COVID-19 cases in the city of New York at the zip code level. We concentrate on the initial period of the pandemic spanning from March 31 to June 16, 2020. To do this, we propose a Poisson regression model for...