Project risk management has become an important area of interest in project management practice over the past decade. Numerous best practice standards, tools and techniques have been developed focussing on a more effective risk management process. This process consists of four main phases:...

There has been a long debate about whether speculators are stabilizing or not.We consider a model where speculators have a stabilizing role in normal times,but may also provoke large risk panics. The very feature that makes arbitrageursliquidity providers in normal times, namely their tolerance...

We present and compare two dierent approaches to conditional riskmeasures. One approach draws from convex analysis in vector spaces andpresents risk measures as functions on Lp spaces, while the other approachutilizes module-based convex analysis where conditional risk measures aredened on Lp...

It is well known that mean-variance portfolio selection is a time-inconsistent optimalcontrol problem in the sense that it does not satisfy Bellman’s optimalityprinciple and therefore the usual dynamic programming approach fails. We developa time-consistent formulation of this problem, which...

This study investigates the sensitivity of stock returns at the industry level to market, exchange rateand interest rate shocks in the four major European economies: France, Germany, Italy and the UK.In addition to exposure to the market, significant levels of exposure to both exchange rate...

This paper compares the pricing and hedging performance of the LMM model against two spot-ratemodels, namely Hull-White and Black-Karasinski, and the more recent Swap Market Model from anAsset-Liability-Management (ALM) perspective. In contrast to previous studies in the literature, ouremphasis...

In this paper, we compare two one-factor short rate models: the Hull White model and the Black-Karasinski model. Despite their inherent shortcomings the short rate models are being used quiteextensively by the practitioners for risk-management purposes. The research, as part of...

We consider the modelling of credit migration risk and the pricing of migration derivativesour approach enlarges the traditional setup where credit risk is based on default solely.We implement the Regime Shifting Markov Mixture model developed in Andersson (2007)and Andersson and Vanini (2008)...

We consider the modelling of credit migration risk and the pricing of migrationderivatives. To construct a Point-in-Time (PIT) rating migration matrix as the underlyingvalue for derivative pricing we show first that the Affine Markov Chain models isnot sufficient to generate PIT migration...

The recent real estate bubble was fuelled by non-risk adjusted lending policies, low interest rates and complex finance vehicles. Mortgage-backed securities (MBS) played a crucial role in the crisis. These vehicles were praised as liquid capital market instruments that allowed mortgage lenders...