We define and develop an approach for risk budgeting allocation -- a risk diversification portfolio strategy -- where … risk is measured using a dynamic time-consistent risk measure. For this, we introduce a notion of dynamic risk … contributions that generalise the classical Euler contributions and which allow us to obtain dynamic risk contributions in a …

Risk parity methods focused on volatility have gained traction in the last decade. A few extensions have been proposed …, including tail risk parity. The authors show that, at its limits, tail risk parity converges towards the risk parity portfolio … or the tangency portfolio. The authors also introduce a new risk parity measure called ‘outcome risk parity’ which allows …

We investigate the out-of-sample diversification benefits of risk parity portfolios by analyzing the properties an … asset class has to fulfill in order to be beneficial in a risk parity strategy and compare them with benefits present in … other heuristic weighting techniques, especially risk-based strategies. We find that risk parity portfolios achieve a …

This paper introduces an alternate measure of idiosyncratic risk leveraged from the decomposition method to further … eliminate the residual systematic risk inherent in the factor asset pricing model. Combining both complementary techniques … contributes to a more comprehensive firm-level idiosyncratic risk that is crucial in both portfolio diversification and alpha …

In the aftermath of the Global Financial Crisis, some risk management practitioners have advocated wider adoption of … Bayesian inference to replace Value- at-Risk (VaR) models in order to minimize risk failures. Despite its limitations, the … [increasingly] Bayesian—continues to be a key methodological foundation of risk management and regulation-related risk modeling …

apparent paradox, we propose to take risk into account. We establish that the appropriate definition of risk in this management … context is relative risk as measured by the standard deviation of the tracking error. This measure makes it possible to … relative risk has been reached …

In aftermath of the Financial Crisis, some risk management practitioners advocate wider adoption of Bayesian inference … to replace Value-at-Risk (VaR) models for minimizing risk failures (Borison & Hamm, 2010). They claim reliance of …-Bayesian and [increasingly] Bayesian – continues to be a key methodological foundation of risk management and regulation related …

The ongoing economic crisis has profoundly changed the industry of the asset management, by putting risk management at … the heart of most investment processes. This new risk-based investment style does not rely on returns forecasts and is … variance, ERC and risk parity strategies in portfolios of several large institutional investors. These portfolio constructions …

understanding diversification strategies. It introduces entropic value at risk (EVaR) as a coherent risk measure, which is an upper … bound to the conditional value at risk (CVaR), and explores its generalization, relativistic value at risk (RLVaR), rooted …, particularly in scenarios of heightened risk and increased concentration, crucial for mitigating negative net performances during …