**Numerical Computation Methods in Modern Finance** provides a comprehensive introduction to numerical computation methods for finance, with a focus on MATLAB as the computational tool.
This book is unique in its focus on MATLAB as the computational tool for financial applications. It is also unique in its comprehensive coverage of topics in numerical computation methods for finance. The book is written in a clear and concise style, with a focus on practical applications. It is also richly illustrated with examples and case studies.
This book is intended for students, researchers, and practitioners in the field of finance who want to learn about the latest numerical computation methods. It is also suitable for self-study.
**Key Features:**
* Comprehensive coverage of numerical computation methods for finance
* Focus on MATLAB as the computational tool
* Clear and concise style
* Richly illustrated with examples and case studies
* Suitable for students, researchers, and practitioners
**Topics Covered:**
* Financial data analysis
* Numerical linear algebra
* Optimization techniques
* Statistical methods
* Monte Carlo simulation
* Interest rates and bond pricing
* Equity and equity derivatives
* Portfolio optimization
* Risk management and credit analysis
* Algorithmic trading and high-frequency trading
* Financial time series analysis
* Machine learning for finance
* Blockchain and cryptocurrencies
* Financial computing and big data
**Benefits:**
* Learn the latest numerical computation methods for finance
* Gain a deep understanding of MATLAB as a computational tool for finance
* Apply numerical computation methods to solve real-world financial problems
* Improve your skills in financial modeling and analysis
**If you are a student, researcher, or practitioner in the field of finance, this book is a must-have resource.**
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