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 note shows that the Generalized Expected Discounted Utility (GEDU) model is not dynamically consistent and does not allow for a complete separation of the parameters characterizing risk aversion and the elasticity of intertemporal substitution (EIS). Therefore, the model is not convenient...

This paper develops a model for optimal portfolio allocation for an investor with quantile preferences, i.e., who maximizes the τ-quantile of the portfolio return, for τ ∈ (0,1). Quantile preferences allow to study heterogeneity in individuals' portfolio choice by varying the quantiles, and...

We derive a closed-form expression for the mean and marginal hedging demand on risky assets in long-term asset allocation problems for individuals with CRRA preferences. Our parametric portfolio policy rule accommodates an arbitrarily large number of state variables for predicting the state of...

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 paper proposes a novel methodology to construct optimal portfolios that incorporates the occurrence of systemic events. Investors maximize a modified Sharpe ratio conditional on a systemic event. We solve the portfolio allocation problem analytically under the absence of short-selling...

One of the implications of the creation of Basel Committee on Banking Supervision wasthe implementation of Value-at-Risk (VaR) as the standard tool for measuring market risk.Since then, the capital requirements of commercial banks with trading activities are basedon VaR estimates. Therefore,...

This paper proposes an empirical model for analyzing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010-2017 and 2010-2019. Price discovery is achieved through the Gonzalo-Granger permanent-transitory decomposition. The...

This study investigates the practical importance of several VaR modeling and forecasting issues in the context of intraday stock returns. Value-at-Risk (VaR) predictions obtained from daily GARCH models extended with additional information such as the realized volatility and squared overnight...