Financial Market Analytics
eBook - PDF

Financial Market Analytics

  1. 328 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Financial Market Analytics

About this book

A variety of quantitative concepts and models essential to understanding financial markets are introduced and explained in this broad overview of financial analytical tools designed for financial practitioners, advanced students, and researchers lacking a strong mathematical background. Coverage ranges from matrix mathematics and elementary calculus with their applications to portfolio and fixed income analysis to probability and stochastic processes with their applications to option pricing. The book is sequenced by mathematics topics, most of which are followed by relevant usage to areas such as valuation, risk management, derivatives, back-testing of financial models, and market efficiency. The book begins by motivating the need for understanding quantitative technique with a brief discussion of financial mathematics and financial literature review. Preliminary concepts including geometric expansion, elementary statistics, and basic portfolio techniques are introduced in chapters 2 and 3. Chapters 4 and 5 present matrix mathematics and differential calculus applied to yield curves, APT, state preference theory, binomal option pricing, mean-variance analysis, and other applications. Integral calculus and differential equations follow in chapter 6. The rest of the book covers applications of probability, statistics and stochastic processes as well as a sampling of topics from numerical methods used in financial analysis.

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Yes, you can access Financial Market Analytics by John L. Teall in PDF and/or ePUB format, as well as other popular books in Betriebswirtschaft & Finanzwesen. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Praeger
Year
1999
Print ISBN
9781567201987
eBook ISBN
9780313371035
Edition
1
Subtopic
Finanzwesen

Table of contents

  1. Contents
  2. Preface
  3. 1 Introduction and Overview
  4. 2 Preliminary Analytical Concepts
  5. 3 Elementary Portfolio Mathematics
  6. 4 Matrix Mathematics
  7. 5 Differential Calculus
  8. 6 Integral Calculus
  9. 7 Introduction to Probability
  10. 8 Statistics and Empirical Studies in Finance
  11. 9 Stochastic Processes
  12. 10 Numerical Methods
  13. Appendix A Solutions to End-of-Chapter Exercises
  14. Appendix B Statistics Tables
  15. Appendix C Notation Definitions
  16. Glossary
  17. References
  18. Index