
Stochastic Financial Models by Douglas Kennedy
Offers a hands-on introduction to mathematical finance. This title includes the relevant mathematical background as well as many exercises with solutions. It presents the classical topics of utility and the mean-variance approach to portfolio choice.-
Foundations of Quantitative Finance: Book III. The Integrals of Riemann, Lebesgue and (Riemann-)Stieltjes
-
Introduction to Credit Risk Modeling
-
Financial Mathematics
-
Handbook of Price Impact Modeling
-
Martingale Pricing
- Introduction to Financial Derivatives with Python
-
Risk Analysis in Finance and Insurance
-
Poisson Process and its Fractional Extensions with Applications
-
Python for Asset Management
-
Sustainable Financial Structured Products
-
Handbook of Quantitative Sustainable Finance
-
Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables
-
XVA Analysis
-
Model-free Hedging
-
Portfolio Optimization
-
An Introduction to Computational Risk Management of Equity-Linked Insurance
-
Monte Carlo Methods and Models in Finance and Insurance
-
An Introduction to Financial Mathematics
-
Principles of Portfolio Choice
-
Introduction to Risk Parity and Budgeting
-
Structured Credit Portfolio Analysis, Baskets and CDOs
-
Arbitrage and Rational Decisions
-
Stochastic Finance
-
Understanding Risk
-
High-Performance Computing in Finance
-
Derivative Pricing
-
A Technical Guide to Mathematical Finance
-
Malliavin Calculus in Finance
-
Risk Measures and Insurance Solvency Benchmarks
-
Financial Modelling in Commodity Markets
-
Engineering BGM
-
Foundations of Quantitative Finance, Book VII: Brownian Motion and Other Stochastic Processes
-
Equity-Linked Life Insurance
-
Unravelling the Credit Crunch
-
Counterparty Risk and Funding
-
C++ for Financial Mathematics
[T]he author covers a number of topics which are normally not addressed in introductions to stochastic finance, and he takes a new and innovative road in the derivation of many familiar results… the book does contain a lot of interesting material (some of it non-standard) that can enrich a lecture course and deepen the reader’s understanding of financial mathematics, so that it definitely belongs on the shelf of every serious student/teacher in the field. …
—Ruediger Frey, The American Statistician, August 2011
All notions and concepts are defined and well explained. … Specific calculations of any type are included on almost any page and it is clear how important this is for a good understanding of the material. … this well-written book prepared by a well-experienced teacher and researcher will be met with interest by many readers. The wide range of topics discussed in detail makes the book appropriate for courses in financial mathematics at both undergraduate and graduate levels.
—Journal of the Royal Statistical Society, Series A, April 2011
This book is a superb beginning level text for senior undergraduate/graduate mathematicians, which is based on lectures delivered by its author to many generations of appreciative Cambridge mathematicians. Many of my own Ph.D. and masters students have taken Dr. Kennedy’s course to uniformly good reviews; this readable book will make its material available to a worldwide audience. I have in the past struggled with some of Dr. Kennedy’s exercises, but the book contains 40 pages of fully worked out solutions to help introduce the reader to the Oxbridge style of learning by problem solving in which even supervisors are sometimes challenged.
—M.A.H. Dempster, Centre for Financial Research, Statistical Laboratory, University of Cambridge, UK
[T]he author covers a number of topics which are normally not addressed in introductions to stochastic finance, and he takes a new and innovative road in the derivation of many familiar results. … the book does contain a lot of interesting material (some of it non-standard) that can enrich a lecture course and deepen the reader’s understanding of financial mathematics, so that it definitely belongs on the shelf of every serious student/teacher in the field. …
—Ruediger Frey, The American Statistician, August 2011
All notions and concepts are defined and well explained. … Specific calculations of any type are included on almost any page and it is clear how important this is for a good understanding of the material. … this well-written book prepared by a well-experienced teacher and researcher will be met with interest by many readers. The wide range of topics discussed in detail makes the book appropriate for courses in financial mathematics at both undergraduate and graduate levels.
—Journal of the Royal Statistical Society, Series A, April 2011
This book is a superb beginning level text for senior undergraduate/graduate mathematicians, which is based on lectures delivered by its author to many generations of appreciative Cambridge mathematicians. Many of my own Ph.D. and masters students have taken Dr. Kennedy’s course to uniformly good reviews; this readable book will make its material available to a worldwide audience. I have in the past struggled with some of Dr. Kennedy’s exercises, but the book contains 40 pages of fully worked out solutions to help introduce the reader to the Oxbridge style of learning by problem solving in which even supervisors are sometimes challenged.
—M.A.H. Dempster, Centre for Financial Research, Statistical Laboratory, University of Cambridge, UK
Douglas Kennedy is a Fellow of Trinity College in Cambridge, UK.
| SKU | Unavailable |
| ISBN 13 | 9781420093452 |
| ISBN 10 | 1420093452 |
| Title | Stochastic Financial Models |
| Author | Douglas Kennedy |
| Series | Chapman And Hall Crc Financial Mathematics Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2010-01-15 |
| Number of pages | 272 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































