Regular price €102.99
Title
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=James W. Daniel
A01=Leslie Jane Federer Vaaler
A01=Shinko Kojima Harper
Author_James W. Daniel
Author_Leslie Jane Federer Vaaler
Author_Shinko Kojima Harper
Category=PBW
eq_isMigrated=1
eq_nobargain

Product details

  • ISBN 9781470465681
  • Publication Date: 30 Dec 2019
  • Publisher: American Mathematical Society
  • Publication City/Country: US
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns
Mathematical Interest Theory provides an introduction to how investments grow over time. This is done in a mathematically precise manner. The emphasis is on practical applications that give the reader a concrete understanding of why the various relationships should be true. Among the modern financial topics introduced are: arbitrage, options, futures, and swaps. Mathematical Interest Theory is written for anyone who has a strong high-school algebra background and is interested in being an informed borrower or investor. The book is suitable for a mid-level or upper-level undergraduate course or a beginning graduate course. The content of the book, along with an understanding of probability, will provide a solid foundation for readers embarking on actuarial careers. The text has been suggested by the Society of Actuaries for people preparing for the Financial Mathematics exam. To that end, Mathematical Interest Theory includes more than 260 carefully worked examples. There are over 475 problems, and numerical answers are included in an appendix. A companion student solution manual has detailed solutions to the odd-numbered problems. Most of the examples involve computation, and detailed instruction is provided on how to use the Texas Instruments BA II Plus and BA II Plus Professional calculators to efficiently solve the problems. This Third Edition updates the previous edition to cover the material in the SOA study notes FM-24-17, FM-25-17, and FM-26-17.

Online assignments for this title are available in WebAssign. WebAssign is a leading provider of online instructional tools for both faculty and students.
Leslie Jane Federer Vaaler, Shinko Kojima Harper, The University of Texas at Austin.

More from this author