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The Analytics of Risk Model Validation

academics, to provide the first collection that focuses on the quantitative side of model validation. The book covers the three main areas of risk;

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Credit Risk Analytics

Credit risk analytics in R will enable you to build credit risk models from start to finish. Accessing real credit data via the;

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Understanding and Managing Model Risk

A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative;

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Analytical Techniques in the Assessment of Credit Risk: An Overview of Methodologies and Applications

to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents;

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Credit Risk Analytics

The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk;

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IFRS 9 and CECL Credit Risk Modelling and Validation

, validation and audit of credit risk models;

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Financial Risk Management

. With a focus on management perspective, this book explores real-world issues such as model validation, risk measurement, valuation;

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Model Validation and Uncertainty Quantification, Volume 3

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural;

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Model Validation and Uncertainty Quantification, Volume 3

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics;

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Fundamental Aspects of Operational Risk and Insurance Analytics

of operational risk, with a primary focus on Basel II/III regulation, modeling dependence, estimation of risk models, and modeling the data elements;

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Model Validation and Uncertainty Quantification, Volume 3

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics;

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Modeling Techniques in Predictive Analytics

Today, successful firms compete and win based on analytics. Modeling Techniques in Predictive Analytics brings together all the concepts;

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The Validation of Risk Models

This book is a one-stop-shop reference for risk management practitioners involved in the validation of risk models. It is a comprehensive;

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Model Management and Analytics for Large Scale Systems

Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model;

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Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling

modeling Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances;

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Building Better Models with JMP Pro

in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP(r) Pro for building and applying analytic;

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Algorithmic Trading Methods

in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes;

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Topics in Model Validation and Uncertainty Quantification, Volume 5

Topics in Model Validation and Uncertainty Quantification, Volume : Proceedings of the 31st IMAC, A Conference and Exposition on Structural;

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Advanced Fixed Income Analytics

, including inflation-indexed bonds, prepayment risk and modeling, term structure models, credit spread and volatility risk, and risk measures and;

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Analytics in a Big Data World

. * Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics * Offers the results;

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Credit Risk Measurement

financial institutions in search of alternative internal model approaches to measuring the credit risk of a loan or portfolio of loans. This has;

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Advances in Heavy Tailed Risk Modeling

ADVANCES IN HEAVY TAILED RISK MODELING A cutting-edge guide for the theories, applications, and statistical methodologies essential to;

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Causal Analytics for Applied Risk Analysis

Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect;

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Causal Analytics for Applied Risk Analysis

Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect;

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Endtoend Data Analytics for Product Development

present the guidelines for data interpretation. In addition, the book contains information on process development and product validation that can;

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Self-Service Data Analytics and Governance for Managers

importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do;

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Quantitative Risk Management + Website

made at every level of the firm and portfolio Providing the models, tools, and techniques firms need to build the best risk management;

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