Technical papers
The definition of operational risk given by Basel II is problematic when applied to institutions, since the risk only represents a potential loss. Staff and systems are considered to be the causes of losses,...
This paper illustrates how fuzzy logic can be helpful for constructing event-type variables in operational risk management. Even when the available databases cannot be considered "native" fuzzy, we show...
In this paper we discuss operational risk modeling and consider a general Bayesian context incorporating information on market risk profile, expert opinion and operational losses, taking into account the...
Banks are increasingly using their IT infrastructure to increase their competitive advantage. Learn how this can work in practice.
More Technical papers articles
This paper builds and implements a multifactor stochastic volatility model for the latent (and unobservable) volatility of the baseload and peakload forward contracts at the European Energy Exchange AG, applying Bayesian Markov chain Monte Carlo simulation...
This paper assesses the performance of twelve generalized autoregressive conditional heteroskedasticity (GARCH)-type models for modeling the 99% value-at-risk (VaR) for indexes from countries classified as frontier economies, namely, Mauritius, Tunisia,...
We derive the risk-adjusted performance measure (RAPM) Omega and the more general Kappa by applying the variational principle to the utility function with respect to the investment choice, which is comprised of how an investment is funded, and its composition,...
This study modifies the filtered historical simulation developed by Barone-Adesi et al, using a general power weighted moving average estimator simulation to forecast value-at-risk (VaR). Our proposed approach is relatively simple and computationally...
This paper deals with the question of whether it is possible to combine the insights and recommendations of optimal individual life-cycle investing with the proven gains of defined benefit pension funds. These gains stem primarily from cost efficiency...
The purpose of this paper is to compare ex ante value-at-risk (VaR) estimation produced by two risk models: historical simulation and Monte Carlo filtered bootstrap. We perform three tests: unconditional coverage, independence and conditional coverage....
We evaluate the probability that an estimated Sharpe ratio will exceed a given threshold in the presence of nonnormal returns. We show that this new uncertainty-adjusted investment skill metric (called the probabilistic Sharpe ratio) has a number of important...
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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