In this paper, we propose a flexible tool to estimate the risk sensitivity of a high-dimensional portfolio composed of different classes of assets, especially in extreme risk circumstances. We build a so-called Cvine Risk Factors Model (CRFM), which is a non-linear version of a risk factor model...

The shocks on a stochastic system can be defined by means of either distribution, or variable. We relate these approaches and provide the link between the global and local effects of both types of shocks. These methodologies are used to perform stress-tests on the portfolio of financial...

Sharpe-like ratios have been traditionally used to measure the performances of portfolio managers. However, they suffer two intricate drawbacks (1) they are relative to a perr's performance and (2) the best score is generally assumed to correspond to a "good" portfolio allocation, with no...

This paper analyses the relationship between governance, asset allocation, and risk among state and local government-operated pension systems in the United States. It is argued that governance influences investment decisions and risk profiles of public sector pension systems, creating the...

We study portfolio choice when labor income and dividends are cointegrated. Economically plausible calibrations suggest young investors should take substantial short positions in the stock market. Because of cointegration the young agent's human capital effectively becomes.

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...

Despite operating under substantial regulatory constraints, we find that commercial banks manage their investments largely consistent with the predictions of portfolio choice models with capital market imperfections. Based on 1990-2002 data for small (assets less than $1 billion) U.S. commercial...