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Risk Measurement, Dominique Gu?gan; Bertrand K. Hassani


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Цена: 11878.00р.
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Автор: Dominique Gu?gan; Bertrand K. Hassani
Название:  Risk Measurement
ISBN: 9783030026790
Издательство: Springer
Классификация:




ISBN-10: 3030026795
Обложка/Формат: Hardcover
Страницы: 215
Вес: 0.52 кг.
Дата издания: 2019
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 16 illustrations, color; 14 illustrations, black and white; xiv, 215 p. 30 illus., 16 illus. in color.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Основная тема: Finance
Подзаголовок: From Quantitative Measures to Management Decisions
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book combines theory and practice to analyze risk measurement from different points of view. The limitations of a model depend on the framework on which it has been built as well as specific assumptions, and risk managers need to be aware of these when assessing risks. The authors investigate the impact of these limitations, propose an alternative way of thinking that challenges traditional assumptions, and also provide novel solutions. Starting with the traditional Value at Risk (VaR) model and its limitations, the book discusses concepts like the expected shortfall, the spectral measure, the use of the spectrum, and the distortion risk measures from both a univariate and a multivariate perspective.
Дополнительное описание: 1 Introduction.- 2. Financial Institutions : A Regulation review through the Risk Measurement prism.- 3. The Traditional Risk measures.- 4. Univariate and Multivariate Distributions.- 5. Extensions for Risk Measures: Univariate and Multivariate Approaches



Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Energy risk

Автор: Pilipovic, Dragana
Название: Energy risk
ISBN: 0071485945 ISBN-13(EAN): 9780071485944
Издательство: McGraw-Hill
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Цена: 11495.00 р.
Наличие на складе: Поставка под заказ.

Описание:

The Latest Methods and Strategies for Successfully Trading and Managing Risk in Today's Volatile Energy Markets

The updated Second Edition of Energy Risk presents an authoritative overview of the contemporary energy trading arena, combining the lesson's from the last decade with proven methods and strategies required for valuing energy derivatives and managing risk in these ever volatile markets.

Written by renowned energy risk expert Dragana Pilipovic this revised classic examines market behavior, covering both quantitative analysis and trader-oriented insights. The book shows how to establish a modeling process that involves the key players_managers, traders, quantitative analysts, and engineers_and provides practical answers to energy trading and risk management questions.

The Second Edition of Energy Risk features:

  • Detailed coverage of the primary factors that influence energy risk
  • Techniques for building marked-to-market forward price curves, creating volatility matrices, and valuing complex options
  • Specific guidelines and tools for achieving risk goals
  • New to this edition: three new chapters on the emerging energy market and marked-to-market issues; new material on energy-specific models, seasonal effects, and the derivation of the mean-reverting price model; and more
Radiation Risk Estimation: Based on Measurement Error Models

Автор: Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, M
Название: Radiation Risk Estimation: Based on Measurement Error Models
ISBN: 3110441802 ISBN-13(EAN): 9783110441802
Издательство: Walter de Gruyter
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Цена: 22305.00 р.
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Описание: This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk estimation in models with measurement errors is considered. Efficiency of the methods presented is verified using data from radio-epidemiological studies.

Contents:

Part I - Estimation in regression models with errors in covariates

Measurement error models

Linear models with classical error

Polynomial regression with known variance of classical error

Nonlinear and generalized linear models

Part II Radiation risk estimation under uncertainty in exposure doses

Overview of risk models realized in program package EPICURE

Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses

Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident

Elements of estimating equations theory

Consistency of efficient methods

Efficient SIMEX method as a combination of the SIMEX method and the corrected score method

Application of regression calibration in the model with additive error in exposure doses

Risk Management and Shareholders` Value in Banking - From Risk Measurement Models to Capital Allocation Policies

Автор: Sironi
Название: Risk Management and Shareholders` Value in Banking - From Risk Measurement Models to Capital Allocation Policies
ISBN: 0470029781 ISBN-13(EAN): 9780470029787
Издательство: Wiley
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Цена: 10771.00 р.
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Описание: Risk Management and Shareholders` Value in Banking covers all main aspects of risk management, capital management and value creation for financial institutions; it is structured in six parts. Part One covers the measurement and management of the interest rate risk on all assets and liabilities of a banking institution.

Liquidity Risk Measurement and Management

Автор: Leonard Matz
Название: Liquidity Risk Measurement and Management
ISBN: 1462892442 ISBN-13(EAN): 9781462892440
Издательство: Неизвестно
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Цена: 4136.00 р.
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Credit risk measurement

Автор: Saunders, Anthony
Название: Credit risk measurement
ISBN: 0471350842 ISBN-13(EAN): 9780471350842
Издательство: Wiley
Цена: 8712.00 р.
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Описание: Addressing one of the hottest topics in finance today, this groundbreaking book offers an up-to-date overview of the latest credit market and financial innovations.

Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics

Автор: Ruan, Keyun
Название: Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics
ISBN: 0128121580 ISBN-13(EAN): 9780128121580
Издательство: Elsevier Science
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Цена: 11950.00 р.
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Описание:

Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics is a book about the future of risk and the future of value. It examines the indispensable role of economic modeling in the future of digitization, thus providing industry professionals with the tools they need to optimize the management of financial risks associated with this megatrend. The book addresses three problem areas: the valuation of digital assets, measurement of risk exposures of digital valuables, and economic modeling for the management of such risks. Employing a pair of novel cyber risk measurement units, bitmort and hekla, the book covers areas of value, risk, control, and return, each of which are viewed from the perspective of entity (e.g., individual, organization, business), portfolio (e.g., industry sector, nation-state), and global ramifications. Establishing adequate, holistic, and statistically robust data points on the entity, portfolio, and global levels for the development of a cybernomics databank is essential for the resilience of our shared digital future. This book also argues existing economic value theories no longer apply to the digital era due to the unique characteristics of digital assets. It introduces six laws of digital theory of value, with the aim to adapt economic value theories to the digital and machine era.

  • Comprehensive literature review on existing digital asset valuation models, cyber risk management methods, security control frameworks, and economics of information security
  • Discusses the implication of classical economic theories under the context of digitization, as well as the impact of rapid digitization on the future of value
  • Analyzes the fundamental attributes and measurable characteristics of digital assets as economic goods
  • Discusses the scope and measurement of digital economy
  • Highlights cutting-edge risk measurement practices regarding cybersecurity risk management
  • Introduces novel concepts, models, and theories, including opportunity value, Digital Valuation Model, six laws of digital theory of value, Cyber Risk Quadrant, and most importantly, cyber risk measures hekla and bitmort
  • Introduces cybernomics, that is, the integration of cyber risk management and economics to study the requirements of a databank in order to improve risk analytics solutions for (1) the valuation of digital assets, (2) the measurement of risk exposure of digital assets, and (3) the capital optimization for managing residual cyber risK
  • Provides a case study on cyber insurance
Credit Risk Analytics - Measurement Techniques, Applications, and Examples in SAS

Автор: B. Baesens, D. Roesch, H. Scheule
Название: Credit Risk Analytics - Measurement Techniques, Applications, and Examples in SAS
ISBN: 1119143985 ISBN-13(EAN): 9781119143987
Издательство: Wiley
Рейтинг:
Цена: 10771.00 р.
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Описание: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management.


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