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(Ebook) Risk Analysis and Portfolio Modelling 1st Edition by Elisa Luciano, David Allen ISBN 9783039216246 3039216244

  • SKU: EBN-32180434
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Authors:Elisa Luciano, David Allen
Pages:224 pages.
Year:2019
Editon:1st
Publisher:MDPI
Language:english
File Size:3.91 MB
Format:pdf
ISBNS:9783039216246, 9783039216253, 3039216244, 3039216252
Categories: Ebooks

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(Ebook) Risk Analysis and Portfolio Modelling 1st Edition by Elisa Luciano, David Allen ISBN 9783039216246 3039216244

(Ebook) Risk Analysis and Portfolio Modelling 1st Edition by Elisa Luciano, David Allen - Ebook PDF Instant Download/Delivery: 9783039216246 ,3039216244
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Product details:

ISBN 10: 3039216244
ISBN 13: 9783039216246
Author: Elisa Luciano, David Allen

Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts

(Ebook) Risk Analysis and Portfolio Modelling 1st Edition Table of contents:

Part I: Foundations of Risk and Portfolio Theory

  1. Introduction to Financial Risk

    • 1.1 Defining Risk in Finance

    • 1.2 Risk Measures: Variance, VaR, and CVaR

    • 1.3 Historical Context and Development

  2. Theories of Portfolio Construction

    • 2.1 Modern Portfolio Theory (MPT)

    • 2.2 Efficient Frontier and Optimal Portfolios

    • 2.3 Capital Asset Pricing Model (CAPM)

    • 2.4 Arbitrage Pricing Theory (APT)

  3. Risk Metrics and Estimation

    • 3.1 Volatility Forecasting

    • 3.2 Value-at-Risk (VaR) Models

    • 3.3 Expected Shortfall (CVaR)

    • 3.4 Stress Testing and Scenario Analysis

Part II: Empirical Approaches and Applications

  1. Quantitative Models in Risk Management

    • 4.1 GARCH and EGARCH Models

    • 4.2 Monte Carlo Simulation

    • 4.3 Copulas and Tail Risk

  2. Credit and Liquidity Risk

    • 5.1 Credit Risk Models (Structural vs. Reduced Form)

    • 5.2 Default Probabilities

    • 5.3 Measuring Liquidity Risk in Portfolios

  3. Systemic and Operational Risk

    • 6.1 Systemic Risk and Financial Contagion

    • 6.2 Network Models in Risk Analysis

    • 6.3 Operational Risk Frameworks

Part III: Portfolio Modelling Techniques

  1. Optimization Techniques

    • 7.1 Mean-Variance Optimization

    • 7.2 Black-Litterman Model

    • 7.3 Robust Optimization

  2. Factor Models and Risk Attribution

    • 8.1 Multi-Factor Models

    • 8.2 Risk Budgeting

    • 8.3 Style Analysis and Performance Attribution

  3. Machine Learning in Portfolio Modelling

    • 9.1 Predictive Analytics for Risk

    • 9.2 Machine Learning for Asset Allocation

    • 9.3 Neural Networks and Financial Forecasting

Part IV: Case Studies and Advanced Topics

  1. Risk Analysis in Emerging Markets

    • 10.1 Currency Risk and Political Risk

    • 10.2 Portfolio Diversification across Regions

    • 10.3 Empirical Findings from Asia, Africa, and Latin America

  2. Risk Management in ESG and Sustainable Investing

    • 11.1 Climate Risk and Portfolio Exposure

    • 11.2 ESG Integration in Risk Models

    • 11.3 Impact on Long-Term Risk-Return Trade-offs

  3. Case Studies

    • 12.1 Global Financial Crisis (2007–2009)

    • 12.2 COVID-19 Market Impact

    • 12.3 Risk Lessons from Hedge Fund Failure

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Tags: Elisa Luciano, David Allen, Risk Analysis, Portfolio Modelling

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