Mathematics and Statistics for Financial Risk Management

Financial risk management is the process of identifying, assessing, and managing financial risks. It is a complex and challenging task, and it requires a strong understanding of mathematics and statistics.

Mathematics and Statistics for Financial Risk Management (Wiley Finance)

by Michael B. Miller

4.3 out of 5

Language	:	English
File size	:	6109 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	338 pages
Lending	:	Enabled

FREE

This book provides a comprehensive treatment of the mathematics and statistics used in financial risk management. It covers a wide range of topics, including:

* Probability theory * Stochastic processes * Statistical inference * Financial data analysis

The book is written in a clear and concise style, and it includes numerous examples and exercises to help readers understand the material.

Target Audience

This book is intended for students, practitioners, and researchers in financial risk management. It is also suitable for anyone who wants to learn more about the mathematics and statistics used in this field.

Prerequisites

Readers of this book should have a basic understanding of mathematics and statistics. A course in calculus and linear algebra is recommended.

Organization of the Book

The book is divided into four parts:

* Part I: Probability Theory * Part II: Stochastic Processes * Part III: Statistical Inference * Part IV: Financial Data Analysis

Each part covers a different aspect of the mathematics and statistics used in financial risk management.

Part I: Probability Theory

Part I of the book provides a comprehensive overview of probability theory. It covers the following topics:

* Sample spaces and events * Conditional probability * Bayes' theorem * Random variables * Probability distributions * Expected value and variance

Part II: Stochastic Processes

Part II of the book introduces stochastic processes. Stochastic processes are used to model the evolution of random variables over time. They are used in a wide range of applications in financial risk management, including:

* Modeling stock prices * Modeling interest rates * Modeling credit risk

Part III: Statistical Inference

Part III of the book covers statistical inference. Statistical inference is the process of making inferences about a population based on a sample. It is used in a wide range of applications in financial risk management, including:

* Estimating the expected return of a stock * Estimating the volatility of a stock * Estimating the risk of a credit default

Part IV: Financial Data Analysis

Part IV of the book covers financial data analysis. Financial data analysis is the process of analyzing financial data to identify trends and patterns. It is used in a wide range of applications in financial risk management, including:

* Identifying potential investment opportunities * Identifying potential risks * Developing trading strategies

This book provides a comprehensive treatment of the mathematics and statistics used in financial risk management. It is a valuable resource for students, practitioners, and researchers in this field.

Mathematics and Statistics for Financial Risk Management (Wiley Finance)

by Michael B. Miller

4.3 out of 5

Language	:	English
File size	:	6109 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	338 pages
Lending	:	Enabled

FREE