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 …

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 …

performance of individual securities. Risk premia (spreads) increase with the proportion of traders in the market who are averse …

We consider an optimal risk-sensitive portfolio allocation problem accounting for the possibility of cascading defaults … contagion effects when making investment decisions, reduces his risk exposure as he becomes more sensitive to risk, and that his … strategy depends non-monotonically on the aggregate risk level …

investment periods is the conditional risk mapping approach. The idea is to develop a model in which information from the … optimization problem with rebalancing in a more time-efficient way when coherent risk measures are used. Artzner et al. (1999 …) outlined a set of mathematical properties for a risk measure that reflect the interests of risk-averse investors. Furthermore …

This paper analyses the risk and return of loans portfolios in a joint setting. I develop a model to obtain the … with a Value at Risk constraint. I also obtain closed form expressions for the interest rates that banks should set in … compensation for borrowers' credit risk under absence of arbitrage opportunities and I use these rates as a benchmark to interpret …

The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk … quantifying market risk by strictly relying on point-in-time measures cannot be deemed a satisfactory approach in general. Instead …, we argue that complementing this approach by studying measures of risk that capture the magnitude of losses potentially …

nonelectronics subindex (NFNE) futures for cross hedging the price risk of stock sector indices traded on the Taiwan stock exchange …. A state-dependent volatility spillover GARCH hedging strategy is developed to capture the regime switching global equity … volatility spillover effect. Empirical results show that the NFNE futures exhibit superior effectiveness as an instrument for …

significantly, when an inter-temporal risk parity strategy is applied. Volatility clustering and fat tails are behind this …Inter-temporal risk parity is a strategy that rebalances risky assets and cash in order to target a constant level of … ex-ante risk over time. When applied to equities and compared to a buy-and-hold portfolio it is known to improve the …