measures, resulting from the new model, can be used to implement joint risk scenario analysis …

Financial risk managers routinely use non-linear time series models to predict the downside risk of the capital under … prediction and the evaluation of downside risk. Emphasis is given to the two key financial downside risk measures: Value-at-Risk …

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 …

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 …

This paper investigates the interdependence between the risk-pooling activity of the financial sector and: output …, consumption, risk-free rate, and Sharpe ratio in a dynamic general equilibrium model of a productive economy. Due to their … to mitigate their risk through a financial sector. The financial sector pools risky claims issued by different firms …

This paper studies the impact of financial sector size and leverage on business cycles and risk-free rates dynamics. We … model a general equilibrium productive economy where financial intermediaries provide costly risk mitigation to households … intermediaries' relative size, but may also mitigate the business cycle. Moreover, it makes risk-free rates pro-cyclical. Households …

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 …

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 …

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 …

This paper proposes a Skewed Stochastic Volatility (SSV) model to model time varying, asymmetric forecast distributions … to estimate Growth at Risk as introduced in Adrian, Boyarchenko, and Giannone's (2019) seminal paper "Vulnerable Growth … volatility and asymmetric measurement densities. Estimating the model based on US data yields conditional forecast densities that …