Risk management has been progressively evolving into a systemic approach for organisational decision making in today’s dynamic economic environment of the global era. In this context, risk management is reaching beyond its traditional finance and insurance application context and is entering...

This paper examines ways of overcoming inconsistencies between IFRS and modern concepts of credit risk management, namely, expected loss model and risk-adjusted loan pricing. Also, it is considered an issue of acceptable levels of concentration risk in bank credit portfolio.

Copulas are a general tool to construct multivariate distributions and to investigate dependence structure between random variables. However, the concept of copula is not popular in Finance. In this paper, we show that copulas can be extensively used to solve many financial problems.

This book develops the notion that companies can succeed on the basis of risk management, much as companies compete on efficiency, costs, labor, location, and other dimensions. The reality of risk and how it impacts companies is that it is much more definite, often catastrophic and looks more...

Although many incentive schemes and renewable energy policies, such as feed-in tariffs and tax credits, have been imposed to boost renewable energy investment, renewable energy investment still necessitates huge initial capital costs and involves numerous uncertainties. Unless the problems are...

This article examines how firms facing volatile input prices and holding some degree of market power in their product market link their risk management and their production or pricing strategies. This issue is relevant in many industries ranging from manufacturing to energy retailing, where...

Businesses are increasingly subject to disruptions. It is almost impossible to predict their nature, time and extent. Therefore, organizations need a proactive approach equipped with a decision support framework to protect themselves against the outcomes of disruptive events. In this paper, a...

In this paper we consider characterizations of the robust uncertainty sets associated with coherent and distortion risk measures. In this context we show that if we are willing to enforce the coherent or distortion axioms only on random variables that are affine or linear functions of the vector...

Uncertainty in biomass supply is a critical issue that needs to be considered in the production planning of bioenergy plants. Incorporating uncertainty in supply chain planning models provides improved and stable solutions. In this paper, we first reformulate a previously developed non-linear...