Technical papers
It is a cliché that returns are fat-tailed, but that doesn’t make the distributions any easier to work with. However, drawing on the father of their application in finance – and some thermodynamics...
Quadratic Gaussian models are particularly amenable to analytic solutions, and so have become popular for rates modelling. Here, Manlio Trovato, Diana Ribeiro and Hringur Gretarsson extend the approach...
The probability distribution of the number of defaults plays an important role in pricing problems of multiple-name credit derivatives. When the group size gets large, it becomes increasingly difficult...
Banks are increasingly using their IT infrastructure to increase their competitive advantage. Learn how this can work in practice.
More Technical papers articles
We provide a model for understanding the impact of sample-size neglect for cases where an investor uses the sample estimator of the covariance matrix in order to obtain a tangency portfolio. By assuming an erroneous hypothesis, we look for a family of...
In this paper, the theory of pricing to acceptability developed for incomplete markets is applied to marking one's own default risk. Following the work of Heckman, it is observed that assets and liabilities are not to be valued identically in financial...
We show that the saddlepoint approximation method for quantifying the impact of undiversified idiosyncratic risk in a credit portfolio is inappropriate in the presence of double-default effects. Specifically, we prove that an equivalent formula to the...
The generalized capital asset pricing model based on mixed conditional value-at-risk (CVaR) deviation is used for calibrating the risk preferences of investors. Risk preferences are determined by coefficients in the mixed CVaR deviation. The corresponding...
This addendum corrects an error in the notation of earlier versions of our paper "Partial differential equation representations of derivatives with bilateral counterparty risk and funding costs" that appeared on SSRN in 2010 and in Volume 7, Issue 3 of...
This paper examines the effects of introducing an auto-collateralization scheme in a simulated securities settlement system. Using artificially generated data, it shows that auto-collateralization can substantially lower liquidity needs without delaying...
The recent financial crisis has shown that liquidity risk is far more important and intricate than regulators had previously acknowledged. The shift from bank-based to market-based financial systems and from deferred net settlement systems to liquidity-demanding...
This handy guide reviews the various steps banks are taking to improve their risk management techniques, looking at the benefits and pitfalls of each one.
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