The aim of this paper is to study the cross-sectional effects present in the market using a new framework based on graph theory. Within this framework, we represent the evolution of a dynamic portfolio, i.e. a portfolio whose weights vary over time, as a rank-based multivariate model where the...

Sharpe-like ratios have been traditionally used to measure the performances of portfolio managers. However, they are known to suffer major drawbacks. Among them, two are intricate: (1) they are relative to a peer's performance and (2) the best score is generally assumed to correspond to a "good"...

This paper presents a theoretical framework to model the evolution of a portfolio whose weights vary over time. Such a portfolio is called a dynamic portfolio. In a first step, considering a given investment policy, we define the set of the investable portfolios. Then, considering portfolio...

The aim of this paper is to study the distribution of portfolio returns across portfolios and for given asset returns. We focus on the most common type of investment considering portfolios whose weights are non-negative and sum up to 1. We provide algorithms and formulas from computational...

This paper analyzes the potential effect of a European Central Bank Digital Currency (CBDC) on banks' profitability. We use a large sample of EU banks that span the period from 2007 to 2021 to assess the sensitivity of banks' profits to the deposits. Using quantile regression, we estimate the...

This paper presents the European Commission's Global Multi-country model (the GM model). The GM model is an estimated multi-country DSGE model that can be used for spillover analysis, forecasting and medium term projections. Its development is jointly performed by the Joint Research Centre and...

This paper analyzes the potential effect of a European Central Bank Digital Currency (CBDC) on banks’ profitability. We use a large sample of EU banks that span the period from 2007 to 2021 to assess the sensitivity of banks’ profits to the deposits. Using quantile regression, we estimate...