Isbn: 9781118708606 - bayesian risk management: a guide to model risk and sequential learning in financial markets (20 risultati)

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Condizione: New. A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Series: Wiley Finance. Num Pages: 240 pages. BIC Classification: KJMV1. Category: (P) Professional & Vocational. Dimension: 165 x 237 x 23. Weight in Grams: 428. . 2015. 1st Edition. Hardcover. . . . .…

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Condizione: New. A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Series: Wiley Finance. Num Pages: 240 pages. BIC Classification: KJMV1. Category: (P) Professional & Vocational. Dimension: 165 x 237 x 23. Weight in Grams: 428. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Condizione: New. A risk measurement and management framework that takes model risk seriouslyMost financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayes.

Buch. Condizione: Neu. Neuware - A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning-based methods, the framework presented here allows you to measure risk in a fully-Bayesian setting without losing the structure afforded by parametric risk and asset-pricing models. - Recognize the assumptions embodied in classical statistics - Quantify model risk along multiple dimensions without backtesting - Model time series without assuming stationarity - Estimate state-space time series models online with simulation methods - Uncover uncertainty in workhorse risk and asset-pricing models - Embed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision-making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.…

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Hardcover. Condizione: new. Hardcover. A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning-based methods, the framework presented here allows you to measure risk in a fully-Bayesian setting without losing the structure afforded by parametric risk and asset-pricing models. Recognize the assumptions embodied in classical statisticsQuantify model risk along multiple dimensions without backtestingModel time series without assuming stationarityEstimate state-space time series models online with simulation methodsUncover uncertainty in workhorse risk and asset-pricing modelsEmbed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision-making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty. A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…