Risk Measurement
Risk measurement in the presence of background risk
... distortion-type risk measure is constructed, which evaluates the risk of any uncertain position in the context of a portfolio that contains that position and a fixed background ...The risk measure ...
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Analysis of Credit Risk Measurement Models in the Evaluation of Credit Demands
... credit risk models in the second half of the 1990’s and measurement of the potential loss according to identified levels of privacy has been determined as the target ...on risk measurement and ...
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Contributions to solvency risk measurement
... namic risk measurement and on model ...construct risk measurement procedures like the ones pro- posed in Chapters 3 and 4, which allowing for model uncertainty in the probability space, are ...
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Research on Credit Risk Measurement Based on Uncertain KMV Model
... Most of the existing credit risk measurement methods are “static” models by using risk-free rate to estimate the uncertain risk. As we all know, interest rate in real life is uncertain. In ...
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Non Parametric methods: An application for the risk measurement
... For that reason, we have proposed the use of nonparametric estimations, specifically the Gaussian Kernel estimator, in order to have a more accurate measure of the probability density function; and consequently of ...
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On empirical risk measurement with asymmetric returns data
... dard risk and performance measures of Sharpe (1966), Treynor (1965) and Jensen (1972), which derive from CAPM, the Sortino and Price (1994) performance criteria, which is justified by LPM-CAPM, or the more general ...
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Multivariate extremes at work for portfolio risk measurement
... This paper proposes a methodology to provide risk measures for portfolios during extreme events. The approach is based on splitting the multivariate extreme value distribution of the assets of the portfolio into ...
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First Stochastic Dominance and Risk Measurement
... We note that there are many studies, for example, Fong, et al. (2005, 2008), Egozcue and Wong (2010), Chan, et al. (2012), Qiao, et al. (2012), Vieito, et al. (2015), and Clark, et al. (2016), and others develop and/or ...
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Essays on Risk Measurement and Modeling in Macroeconomics and Finance
... be broadly classified into two types: “within-regime” and “across-regime” risks. For the purpose of explanation, I decompose the bond yields into the expected sum of future short rates (the expectations component) and ...
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A sparse grid approach to balance sheet risk measurement
... the risk factor X and the value of the asset and liability side of the balance ...the risk factor model is given under the so-called real-world probability measure P , which might be objectively calibrated ...
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Portfolio risk measurement: the estimation of the covariance of stock returns
... Table 7.6: Eigen-distance and eigen-distance differences MNIG T=1000 Panel 100 This A the table the simulations results of reports weeks eigen-distance Panel differences B of eight alter[r] ...
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Risk measurement and management of insurance companies
... CONTENTS List of tables List of figures Acknowledgments Declaration Abstract Introduction Chapter 1: Risk and capital management Chapter 2: Rethinking the solvency and insurance margin s[r] ...
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Credit risk measurement and modelling
... Particularly, this thesis provides evidence as to the relation between different different factors in maturities and credit and spread all changes macroeconomic index, the it the the mos[r] ...
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I. An overview of risk measurement techniques.
... The second type of data one needs to collect is the current market data. Just to demonstrate that this is not a simple task, let us recall that equity prices are disclosed almost continuously, interest rates may have ...
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MARKET RISK MEASUREMENT
... • Monte Carlo VaR is similar to historical VaR in that a set of scenarios on the risk factors are put into the option pricing functions to get a set of portfolio values, and then these p[r] ...
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MARKET RISK MEASUREMENT
... • 1% VaR measures give the ‘1 day in 100’ loss level that is to be expected in normal market circumstances, if the portfolio were left unmanaged • In addition to portfolio VaR, efficient[r] ...
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Information and optimisation in investment and risk measurement
... In a Bayesian implementation, we study how to use non-sample information to infer optimal scaling of unknown forecasts of asset returns in the presence of uncertainty about the quality o[r] ...
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Estimation of Credit Risk by Artificial Neural Networks Models
... credit risk analysis, many methods were widely applied to credit risk measurement tasks: linear discriminant analysis, logit analysis, probit analysis, linear programming, integer programming, k- ...
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Volume 03 Issue 06: (2016) June 2016
... the risk practices of Islamic banks. Those variables namely risk environment, policies and procedures, risk measurement, risk mitigation and risk monitoring as well as internal ...
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Dynamic Verifier Core: A Practical Solution to Mitigate the Risks of Software Risk Management Process
... of risk process like risk identification, measurement, assessment, and mitigation, the related experts should be the review committee key ...and risk manager have permanent plenipotentiary ...
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