The literature on capital allocation is biased towards an asset modeling framework rather than an actuarial framework. The asset modeling framework leads to the proliferation of inappropriate assumptions about the effect of insurance line of business growth on aggregate loss distributions. This...

We investigate a systemic risk measure known as CoVaR that represents the value-at-risk (VaR) of a financial system conditional on an institution being under distress. For characterizing and estimating CoVaR, we use the copula approach and introduce the normal tempered stable (NTS) copula based...

This paper focuses on two methods for optimum portfolio selection. We compare Mean-Variance method with Mean-VaR method by the means of investment simulation, based on Czech financial market data from turbulent market periods of the year 2007 and the year 2008. We compare both strategies, basing...

This paper examines risk-averse and risk-seeking investor preferences for oil spot and futures prices by using the mean-variance (MV) criterion and stochastic dominance (SD) approach. The MV findings cannot distinguish between the preferences of spot and futures markets. However, the SD tests...

We use mean-variance analysis with short selling constraints to diagnose the effects of the recent global financial crisis by evaluating the potential benefits of international diversification in the search for 'safe havens'. We use stock index data for a sample of developed, advanced-emerging...

The objective of this paper was to compare and to analyze three portfolio selection models: Mean-Variance, Minimax and Minimax Weighted. These models were evaluated using historical data (September 1999 to August 2000, January 2001 to December 2001 and February 2002 to January 2003) obtained...

Traditional Data Envelope Analysis (DEA) neglects uncertainty for the input-output variables by treating the observations as if they were the true input-output variables to select reference units for efficiency estimation and performance benchmarking. In stochastic environments, the traditional...