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 … Sharpe ratio and reduce drawdowns. We apply inter-temporal risk parity strategies to factor investing, namely value and …

We discuss how to build ETF risk models. Our approach anchors on i) first building a multilevel (non …-)binary classification/taxonomy for ETFs, which is utilized in order to define the risk factors, and ii) then building the risk models based … on these risk factors by utilizing the heterotic risk model construction of https://ssrn.com/abstract=2600798 (for binary …

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 …

We introduce a new class of momentum strategies, the risk-adjusted time series momentum (RAMOM) strategies, which are … how these volatility measures can be used for risk management. We find that momentum risk management significantly … increases Sharpe ratios, but at the same time may lead to more pronounced negative skewness and tail risk. Furthermore, momentum …

benchmarks use the lower partial moment as a risk measure. The lower partial moment, however, doesn’t entirely describe the panic …

A risk management strategy is proposed as being robust to the Global Financial Crisis (GFC) by selecting a Value-at-Risk … VaR forecasts of a set of conditional volatility models. This risk management strategy is GFC-robust in the sense that … maintaining the same risk management strategies before, during and after a financial crisis would lead to comparatively low daily …

This paper examines Value at Risk by applying GARCH-EVT-Copula model and finds the optimal portfolio for the precious … distributions. Third, we use multivariate Student t-copula to construct the precious metal portfolio risk dependence structure …. Finally, we simulate 10,000 portfolios and estimate value at risk (VaR) and Expected shortfall (ES). The empirical results …