Financial and Insurance Formulas

• Tomas Cipra
Book

1. Front Matter
Pages i-xv
2. Financial Formulas

1. Front Matter
Pages 3-3
2. Tomas Cipra
Pages 1-2
3. Tomas Cipra
Pages 5-10
4. Tomas Cipra
Pages 11-16
5. Tomas Cipra
Pages 17-19
6. Tomas Cipra
Pages 21-24
7. Tomas Cipra
Pages 25-34
8. Tomas Cipra
Pages 35-49
9. Tomas Cipra
Pages 51-53
10. Tomas Cipra
Pages 55-72
11. Tomas Cipra
Pages 73-89
12. Tomas Cipra
Pages 91-93
13. Tomas Cipra
Pages 95-107
14. Tomas Cipra
Pages 109-118
15. Tomas Cipra
Pages 119-122
16. Tomas Cipra
Pages 123-139
3. Insurance Formulas

1. Front Matter
Pages 141-141
2. Tomas Cipra
Pages 143-148
3. Tomas Cipra
Pages 149-164
4. Tomas Cipra
Pages 165-194
5. Tomas Cipra
Pages 195-207
6. Tomas Cipra
Pages 209-217
7. Tomas Cipra
Pages 219-234
8. Tomas Cipra
Pages 235-253
9. Tomas Cipra
Pages 255-257
10. Tomas Cipra
Pages 259-272
4. Formulas of Related Disciplines

1. Front Matter
Pages 273-273
2. Tomas Cipra
Pages 275-281
3. Tomas Cipra
Pages 283-305
4. Tomas Cipra
Pages 307-329
5. Tomas Cipra
Pages 331-338
6. Tomas Cipra
Pages 339-343
7. Tomas Cipra
Pages 345-360
8. Tomas Cipra
Pages 361-385
5. Back Matter
Pages 387-418

Introduction

This survey contains more than 3,000 formulas and methods from the field of finance and insurance mathematics (as well as related formulas in mathematics, probability theory, statistics, econometrics, index numbers, demography, stochastic processes and time series). The formulas are mostly applicable in financial and actuarial practice. Their mathematical level ranges from simple ones based on arithmetic to very sophisticated matters of higher mathematics (e. g. stochastic calculus), but they are usually presented in the form most frequently used in applications. Explanations and references to related parts of the survey are given so that one can easily browse and look them up in the text; the detailed Index is also helpful for this purpose. The survey will be of benefit for students, researchers and practitioners in finance and insurance.

Keywords

Stochastic Processes Stochastic calculus calculus classification linear optimization mathematical statistics statistical analysis statistics

Authors and affiliations

• Tomas Cipra
• 1
1. 1., Dept. of StatisticsCharles University of PraguePragueCzech Republic