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In den WarenkorbZustand: New. pp. 320.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 240 pages. 9.50x6.50x0.75 inches. In Stock.
Sprache: Englisch
Verlag: John Wiley & Sons Inc Mai 2025, 2025
ISBN 10: 1394257260 ISBN 13: 9781394257263
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - The Global Financial Crisis broke the monetary system. Here's how to fix it.
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In den WarenkorbZustand: 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.
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Making Money Work | How to Rewrite the Rules of Our Financial System | Matt Sekerke (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | John Wiley & Sons Inc | EAN 9781394257263 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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In den WarenkorbGebunden. Zustand: 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.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - 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. 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 organizationIgnoring 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.