2009
DOI: 10.1017/s1357321700005468
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Modelling Extreme Market Events. A Report of the Benchmarking Stochastic Models Working Party

Abstract: This paper focusses on some practical issues that can arise when developing methodologies for calculating benchmark figures for extreme market events, particularly in the context of the Financial Services Authority's ICAS regime. The paper limits discussion to equity and interest rate risks. Whilst not intended to constitute formal guidance, it is hoped that the material contained within the paper will be useful to practitioners. The paper acknowledges the role of prior beliefs in the choice of data to be used… Show more

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Cited by 13 publications
(9 citation statements)
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“…The skewness of S&P500 is negative, which is commonly observed in the stock market [11]. S&P500 and CSI exhibit excess kurtosis, implying drastic fluctuations of markets [11,12].…”
Section: Datamentioning
confidence: 88%
“…The skewness of S&P500 is negative, which is commonly observed in the stock market [11]. S&P500 and CSI exhibit excess kurtosis, implying drastic fluctuations of markets [11,12].…”
Section: Datamentioning
confidence: 88%
“…The theory is that there will be convergence on the right answer without the bias towards the views of the most respected/senior/loudest. 4.3.4 Recent research includes the "Modelling Extreme Market Events'' sessional paper by Frankland et al (2009).…”
Section: 33mentioning
confidence: 99%
“…6.4.5.5 A number of consultancies have produced industry surveys into the assumptions used for ICAS. 6.4.5.6 The Institute of Actuaries Sessional Meeting on modelling extreme market events Frankland et al (2009) is also a good reference on setting 1-in-200 shocks within an internal model framework .…”
Section: Benchmark Datamentioning
confidence: 99%
“…2 N. Abourashchi et al The methods that we employ capture three key features of the data that recent market conditions have highlighted. First, we allow for the fat-tailed nature of asset returns, particularly on the downside, that has been so clearly revealed in recent years (Frankland et al 2008). Second, we recognise that discount rates change over time (Cochrane 2011).…”
Section: Introductionmentioning
confidence: 99%