This paper proposes two new Credit Default Swap (CDS) endogenous systematic factors constructed from peer-CDS information. The factors capture slow-moving credit risk information, as well as fast-moving newly arrived market information embedded in the most recent CDS quotes. Using a sample of...

This paper shows that institutional sell-side herding increased bid-ask spreads and liquidity risk during the 2007-8 financial crisis. Such an impact on liquidity is most pronounced in firms with large numbers of institutions that sold the same stocks, that is, have correlated trades. For the...

This article studies four transform pricing methods in the context of general equilibrium (GE) framework. The four methods, viz. the Esscher transform, indifference pricing, the Wang transform, and the standard deviation loading, are popular among actuarial literature and practice. The transform...

Abstract We present an application of importance sampling to multi-asset options under the Heston and the Bates models as well as to the Heston-Hull-White and the Heston-Cox-Ingersoll-Ross models. Moreover, we provide an efficient importance sampling scheme in a Multi-Level Monte Carlo...

During the financial crisis in 2007-8, the quoted spread for the average S&P 1500 firm increased by 50%, while the systematic liquidity risk increased by 34%. We find that the trading of a firm's equity by institutional investors increased the firms' quoted spreads, and led to a higher liquidity...

The purpose of this paper is to apply a belief rule-based (BRB) system to solve the multiasset class portfolio optimisation problems. The BRB system, was developed on the basis of the concept of belief structures and the evidential reasoning (ER) approach, is a generic non-linear modelling and...

We present an application of importance sampling in a Monte Carlo simulation for multi-asset options and in a Multi-Level Monte Carlo simulation. We demonstrate that applying importance sampling only on the first level of the Multi-Level Monte Carlo significantly improves its effective...

This paper provides a strategy for portfolio risk management by inferring extreme movements in financial markets. The core of the provided strategy is a statistical model for the joint tail distribution that attempts to capture accurately the data generating process through an extremal modelling...