Foundations of Computational Finance with MATLAB - Hardcover

McCarthy, Ed

Hardcover

ISBN 10: 1119433851 ISBN 13: 9781119433859

Publisher: Wiley, 2018

Synopsis

Graduate from Excel to MATLAB^® to keep up with the evolution of finance data

Foundations of Computational Finance with MATLAB^® is an introductory text for both finance professionals looking to branch out from the spreadsheet, and for programmers who wish to learn more about finance. As financial data grows in volume and complexity, its very nature has changed to the extent that traditional financial calculators and spreadsheet programs are simply no longer enough. Today’s analysts need more powerful data solutions with more customization and visualization capabilities, and MATLAB provides all of this and more in an easy-to-learn skillset.

This book walks you through the basics, and then shows you how to stretch your new skills to create customized solutions. Part I demonstrates MATLAB’s capabilities as they apply to traditional finance concepts, and PART II shows you how to create interactive and reusable code, link with external data sources, communicate graphically, and more.

• Master MATLAB’s basic operations including matrices, arrays, and flexible data structures
• Learn how to build your own customized solutions when the built-ins just won’t do
• Learn how to handle financial data and industry-specific variables including risk and uncertainty

• Adopt more accurate modeling practices for portfolios, options, time series, and more

MATLAB is an integrated development environment that includes everything you need in one well-designed user interface. Available Toolboxes provide tested algorithms that save you hours of code, and the skills you learn using MATLAB make it easier to learn additional languages if you choose to do so. Financial firms are catching up to universities in MATLAB usage, so this is skill set that will follow you throughout your career. When you’re ready to step into the new age of finance, Foundations of Computational Finance with MATLAB provides the expert instruction you need to get started quickly. 

About this title

About the Author

ED MCCARTHY is a journalist, prolific finance writer, and MathWorks Certified MATLAB^® Associate. His articles have appeared in Bloomberg Wealth Manager, CFA Institute Magazine, Institutional Investor, Financial Planning, Journal of Accountancy, and the Journal of Financial Planning. He is also author of The Financial Advisor's Analytical Toolbox and Fast Forward MBA in Personal Finance.

From the Back Cover

Master a Key Tool in Quantitative Finance

Foundations of Computational Finance with MATLAB^® is the long-awaited introductory guide to one of the most flexible and powerful computational platforms for finance.

Whether you're planning for a career in corporate or investment finance, or you're looking to advance in one of those industries, this hands-on guide is your turnkey solution to understanding the ins and outs of MATLAB^® and all the ways it enables you to get more out of your data sets, including nontraditional information, with new computational tools.

This single guidebook is all you need to:

• Get up to speed quickly for real-world practice by mastering one of the best-suited platforms for quantitative finance
• Reinforce covered material with interactive learning by working through guided examples in the MATLAB^® Command Window
• Develop the complete, up-to-date groundwork you need to build advanced skills

Spreadsheets and calculators are a good start, but to keep pace with high- performing financial professionals, you need Foundations of Computational Finance with MATLAB^®.

From the Inside Flap

Staying competitive in corporate and investment finance today means a lot more than proficiency with spreadsheets and calculators. Advances in data collection and analytics have fundamentally changed how we manage money, and traditional tools and data sets are no longer enough. But where's the best place to start? Foundations of Computational Finance with MATLAB^® offers a robust introduction to the most up-do-date ways traditional finance practices are being optimized on the MATLAB^® computational platform.

With an understanding of linear algebra and statistics, as well as access to MATLAB^® and the associated toolboxes, you can use this hands-on guide alongside your computer to develop the knowledge base and skillset to enter the world of computational finance. Designed for the self-learner clarifying chapter introductions, referenced source material, and sample codes walk you through creating interactive and reusable code, measuring and forecasting uncertainty, using graphics to analyze and communicate results in multiple formats, and more.

Presented in a masterful pedagogy by a MathWorks Certified MATLAB^® Associate, the authoritative coverage focuses on developing a practical understanding of MATLAB^®'s built-in functions in order to develop programming solutions. It enables users to immediately use the platform in real-world practice, with a solid foundation for launching into more advanced operations. Students and professionals alike can efficiently jumpstart their path to success in the financial industry with:

• Best practices for working with data, dates and times, and basic programming
• Step-by-step instruction for importing, manipulating, and visualizing financial data from popular external sources
• Illustrative explanations for applying time value of money calculations and applications to cash flows, time periods, and interest rates

This versatile resource stays with you after you've mastered the basics with a section of appendices featuring handy, quick- reference MATLAB^® functions, as well as guidance for publishing code, creating interactive files, and conducting regression and time series analysis.

Foundations of Computational Finance with MATLAB^® is your one-stop primer to the new approach to financial analysis and management.

Edition details

• Publisher: Wiley
• Publication date: 2018
• ISBN 10: 1119433851
• ISBN 13: 9781119433859
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 368