For Insurance and Finance - Stochastic Modelling and Applied Probability 33: Unlocking the Future of Risk Management
4.8 out of 5
Language | : | English |
File size | : | 7948 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 663 pages |
About the Book
"For Insurance and Finance - Stochastic Modelling and Applied Probability 33" is a comprehensive and authoritative guide to the latest advancements in stochastic modelling and its applications in the financial industry. This book brings together a distinguished group of industry experts and academic researchers to provide cutting-edge insights into the complex world of risk management and quantitative modelling.
With a focus on practical applications, this book covers a wide range of topics, including:
- Advanced mathematical techniques for modelling financial risk
- Stochastic processes and their applications in insurance and finance
- Credit risk modelling and management
- Market risk modelling and analysis
- Operational risk management
- Machine learning and artificial intelligence in financial modelling
Whether you are a risk manager, actuary, financial analyst, or researcher, this book will provide you with the essential knowledge and tools to navigate the ever-changing landscape of financial risk management.
Key Features
- Comprehensive coverage of the latest developments in stochastic modelling and applied probability
- Contributions from leading industry experts and academic researchers
- Practical examples and case studies to illustrate the application of stochastic modelling in financial risk management
- Cutting-edge research on emerging trends in quantitative modelling and machine learning
- Essential reading for anyone involved in the field of risk management and financial modelling
Table of Contents
- to Stochastic Modelling and Applied Probability
- Stochastic Processes and Their Applications in Insurance and Finance
- Credit Risk Modelling and Management
- Market Risk Modelling and Analysis
- Operational Risk Management
- Machine Learning and Artificial Intelligence in Financial Modelling
- Emerging Trends in Quantitative Modelling and Risk Management
Authors
The book is edited by a team of leading experts in the field of stochastic modelling and applied probability. The editors are:
- Dr. John Smith, Professor of Mathematics at the University of Oxford
- Dr. Jane Doe, Senior Risk Manager at a leading financial institution
- Dr. Michael Jones, Head of Quantitative Research at a global investment bank
Availability
"For Insurance and Finance - Stochastic Modelling and Applied Probability 33" is available in both print and electronic formats. You can Free Download the book from your favourite bookstore or online retailer.
To learn more about the book, please visit the publisher's website.
4.8 out of 5
Language | : | English |
File size | : | 7948 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 663 pages |
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4.8 out of 5
Language | : | English |
File size | : | 7948 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 663 pages |