This book offers a highly illustrated introduction to mathematical finance, with a special emphasis on interest rates.
This is a revision of the McCutcheon-Scott classic. It realigns the table of contents with the CT1 exam and includes sample questions from past exams of both The Actuarial Profession and the CFA Institute.
150 years of actuarial writing from 1848 to 1994, complete with indexes, has been issued as an 8 CD set.
This set provides the complete collection of the Journal of the Institute of Actuaries and the Transactions of the Faculty of Actuaries.
This book provides coverage of microeconomic, macroeconomic and international economic issues for business students. With its direct and understandable approach the book continues to focus on applying economic principles to the real world of business.
Up-to-date case studies examine everything from the impact of the financial crisis to the operation of specific businesses, to illustrate how economic theory relates to real business issues. The book has been thoroughly updated to reflect the challenges faced by business in the current economic climate.
This classic and successful text combines
international economics and
business economics and strategy
in one user-friendly book and is ideal for anyone studying economics with a business perspective.
Tables for use in exams
Essential reading for all those who are interested in developing their knowledge about genetics and where actuaries can 'add value', this publication explores genetic advances from a range of perspectives - medical, social and financial.
- How genes work
- Research fields in human genetics
- Ethics and the new genetics
- Genetically modified organisms
- Genetics and the financial sector
- Legislation and codes of conduct
- Actuarial modelling.
Solutions manual to accompany the 4th edition of Loss models. From data to decisions (2012)
In classical life insurance mathematics the obligations of the insurance company towards the policyholders were calculated on artificial conservative assumptions on mortality and interest rates. However, this approach is being superseded by developments in international accounting and solvency standards coupled with other advances enabling a market-based valuation of risk, i.e., its price if traded in a free market.
This book describes these approaches, and is the first to explain them in conjunction with more traditional methods. The various chapters address specific aspects of market-based valuation. The exposition integrates methods and results from financial and insurance mathematics, and is based on the entries in a life insurance company's market accounting scheme.
The book will be of great interest and use to students and practitioners who need an introduction to this area, and who seek a practical yet sound guide to life insurance accounting and product development.
Mixed Poisson processes have until now been studied by scientists primarily interested in either insurance mathematics or joint processes. Often work in one area has been carried out without knowledge of the other. Mixed Poisson processes is the first book to be totally devoted to combining both these areas.
The first part of the book gives special emphasis to the estimation of the underlying intensity, thinning, infinite divisibility and reliability properties; the second part of this is, to a greater extent, based on Lundberg's thesis.
Many newer results, such as characterizations in terms of thinning, random translations, Palm probabilities and symmetric distributions are given. Models for the risk fluctuations in an insurance company are considered in some detail.
Combining a rigorous mathematical approach with an informal discursive style, this book will be an invaluable source for probabilists, applied probabilists and actuaries, as well as graduate students and scientists in these areas.
Using an approach that views sophisticated stochastic calculus as based on a simple class of discrete processes - "random walks" - this book first provides an elementary introduction to the relevant areas of real analysis and probability. The author then uses random walks to explain the change of measure formula, the reflection principle, and the Kolmogorov backward equation. The Black-Scholes formula is derived as a limit of binomial model, and applications to the pricing of derivative securities are presented. Another primary focus of the book is the pricing of corporate bonds and credit derivatives, which the author explains in terms of discrete default models.
By presenting important results in discrete processes and showing how to transfer those results to their continuous counterparts, this book imparts an intuitive and practical understanding of the subject. This unique treatment is ideal both as a text for a graduate-level class and as a reference for researchers and practitioners in financial engineering, operations research, and mathematical and statistical finance.
Applied statisticians in many fields must frequently analyse time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine.
The analysis of survival experiments is complicated by issues of censoring, where an individual’s life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data.
Suggestions for implementing the various methods are set out in a series of ‘practical notes’ at the end of each section. Technical details of the derivation of the techniques are sketched in a series of ‘technical notes’.
This book will be useful as a reference book for investigators who need to analyse censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology.