• Title: A Basic Course in the Theory of Interest and Derivatives Markets: A Preparation for the Actuarial Exam FM/2
• Author(s) Marcel B. Finan
• Publisher: Arkansas Tech University (2017)
• Paperback: N/A
• eBook: PDF (745 pages, 7.15 MB)
• Language: English
• ASIN/ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

This book is designed for an introductory course in the theory of interest and annuity. Each section contains the embedded examples with answer keys. It is suitable for a junior level course in the mathematics of finance.

It presents in a very compact way the fundamental aspects of financial mathematics. It provides the key concepts and tools a student needs to master the Exam FM of the Society of Actuaries (SOA) and the Exam 2 of the Casualty Actuarial Society (CAS).

• N/A

• Amazon
• Amazon (Schaum's Outline of Mathematics of Finance)

• Financial Mathematics and Engineering, Financial Technologies
• Professional Certificates Preparation and Study Guides
• Statistics, R Language and SAS Programming
• Probability and Stochastic Processes
• Applied Mathematics

• A Basic Course in the Theory of Interest and Derivatives Markets (Marcel B. Finan)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF
• The Mirror Site (3) - PDF

• Mathematics of Economics and Business (Frank Werner, et al.)

  For all students who wish to understand current economic and business literature, knowledge of mathematical methods has become a prerequisite. Clear and concise, with precise definitions and theorems, this book covers all the major topics required.

• Financial Mathematics: Concepts and Computational Methods

  This text serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like.

• Financial Numerical Recipes in C++: Applications in Finance

  This book provides a good deal of useful examples and algorithms for people working within the field of finance, in C++. All the routines have been made to confirm to the new ISO/ANSI C++ standard, using namespaces and the standard template library.

• Mathematical Methods for Economic Theory (Martin J. Osborne)

  This book covers the basic mathematical tools used in economic theory. It emphasizes techniques rather than abstract theory. However, the conditions under which each technique is applicable are stated precisely.

• Numerical Methods for Finance (Robert Nurnberg)

  This book explores new and relevant numerical methods for the solution of practical problems in finance. It is one of the few books entirely devoted to numerical methods as applied to the financial field.

• Blockchain and Crypto Currency: Marketplace for Crypto Data

  This book contributes to the creation of a cyber ecosystem supported by Blockchain technology in which technology and people can coexist in harmony. The decentralization of the recording process is expected to significantly economize the cost of transactions.

• Math for Trades: Volume 1 (Chad Flinn, et al.)

  This volume represents the building blocks for math training. The goal of this volume is to get students prepared for the more advanced topics that they will encounter during their trades math education.

• Math for Trades: Volume 2 (Chad Flinn, et al.)

  This volume continues where the Volume 1 left off. Volume 2 increases the challenge with topics such as converting units and working with equations, perimeter, area, and volume. Once again the material is presented from a trades perspective.

• Mathematics for Finance: An Introduction to Financial Engineering

  This book is an excellent introduction to Mathematical Finance. Armed with a knowledge of basic calculus and probability a student can use this book to learn about derivatives, interest rates and their term structure and portfolio management.

• Statistical Tools for Finance and Insurance (Pavel Cizek, et al)

  Presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance, offers a unique combination of topics from which every market analyst and risk manager will benefit.

• Applied Quantitative Finance: Theory and Computational Tools

  Presents solutions, theoretical developments and method proliferation for many practical problems in quantitative finance. The combination of practice and theory supported by computational tools is reflected in the selection of topics.