[PDF/ePUB] Financial Mathematics For Actuaries

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Financial Mathematics for Actuaries is a textbook for students in actuarial science, quantitative finance, financial engineering and quantitative risk management and is designed for a one-semester undergraduate course. Covering the theories of interest rates, with applications to the evaluation of cash flows, the pricing of fixed income securities and the management of bonds, this textbook also contains numerous examples and exercises and extensive coverage of various Excel functions for financial calculation. Discussions are linked to real financial market data, such as historical term structure, and traded financial securities. The topics discussed in this book are essential for actuarial science students. They are also useful for students in financial markets, investments and quantitative finance. Students preparing for examinations in financial mathematics with various professional actuarial bodies will also find this book useful for self-study. In this second edition, the recent additions in the learning objectives of the Society of Actuaries Exam FM have been covered.

✔ Author(s):
✔ Title: Financial Mathematics For Actuaries (Second Edition)
✔ Rating : 4.1 out of 5 base on (29 reviews)
✔ ISBN-10: 9813224673
✔ ISBN-13: 9789813224674
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle

Readers' opinions about Financial Mathematics For Actuaries by Wai-Sum Chan

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Thea Bell
I'm still in awe of the intricate plot and the way everything seamlessly came together. The twists kept me guessing until the very end. It's one of those rare books that leave a lasting impact.
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I loved the powerful messages hidden within the story. The book tackled important social issues and made me ponder the world we live in. It's a must-read for everyone.
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Laura Hill
The plot was incredibly well-crafted, with twists and turns that kept me hooked until the very last page. It was impossible to predict what would happen next.


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