Long memory is found in the conditional volatilities of financial returns measured at daily or higher frequencies, as well as in residual cross-products in bivariate series. We test for long memory in conditional correlations by extending the fractionally integrated GARCH model to include...

The Integrated Energy and Climate Protection Program of the German government includes the political target of doubling the share of combined heat and power generation (CHP) in Germany from currently about 12% to 25% by 2020. In order to reach this goal, a new CHP law was enacted to improve the...

The Selectivity Theory (Bolshakov, Chincarini & Lewis, 2021) was recently introduced as an alternative new optimization tool that a CIO can utilize in her strategy of picking active managers for an asset class. The main normative recommendation of the theory in this particular case would be that...

This paper introduces a new approximation scheme for solving high-dimensional semilinear partial differential equations (PDEs) and backward stochastic differential equations (BSDEs). First, we decompose a target semilinear PDE (BSDE) into two parts, namely "dominant" linear and "small" nonlinear...

The 2008 financial crisis has spurred investors to wonder about adding tail risk hedges to their portfolios. However, the cost of these hedges can often be a deterrent. As a consequence, many financial institutions have tried to develop cost-effective products for investors who wished to protect...

Orthant probabilities applied in a two-dimensional framework are used to derive quadrant-conditional financial asset return correlations which fully capture both linear and non-linear components of co-variability. We investigate the potential for employing quadrant-conditional correlations in...

Historical VaR, CVaR and ES (Expected Shortfall) to LIQUIDATION Software is a model characterized by its straightforwardness, allowing regulators measure risk using a standard database of primitive factors and portfolio positions only, leaving little error margin in comparing market risk for...

The Solvency II framework challenges insurers to evaluate and manage their embedded balance sheet risks appropriately. However, insurances hold balance sheet items, for which closed-form solutions and market prices are not available. Pure Monte Carlo valuation requires nested simulations, which...

We consider a capital at risk (CaR) minimization problem in an incomplete market Black-Scholes setting. The optimization problem is studied, given the possibility that a correlation constraint between the wealth process and a financial index is imposed. The optimal portfolio is not unique and it...

This paper proposes a unified approach to creating investment strategies with various desirable properties for investors.Particularly, we provide a new interpretation and the resulting formulations for state space models to attain our investment objectives, which are possibly specified as...