More Mathematical Finance
| Author | : Mark Suresh Joshi |
| Publisher | : |
| Total Pages | : 484 |
| Release | : 2011 |
| ISBN 10 | : 0987122800 |
| ISBN 13 | : 9780987122803 |
| Language | : EN, FR, DE, ES & NL |
Language: en
Pages: 484
Pages: 484
The long-awaited sequel to the "Concepts and Practice of Mathematical Finance" has now arrived. Taking up where the first volume left off, a range of topics is
Language: en
Pages: 0
Pages: 0
The second edition of a successful text providing the working knowledge needed to become a good quantitative analyst. An ideal introduction to mathematical fina
Language: en
Pages: 253
Pages: 253
Principles of Quantitative Development is a practical guide to designing, building and deploying a trading platform. It is also a lucid and succinct exposé on
Language: en
Pages: 747
Pages: 747
An introduction to many mathematical topics applicable to quantitative finance that teaches how to “think in mathematics” rather than simply do mathematics
Language: en
Pages: 483
Pages: 483
This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without
Language: en
Pages: 856
Pages: 856
Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitat
Language: en
Pages: 374
Pages: 374
The Paris-Princeton Lectures in Financial Mathematics, of which this is the fourth volume, publish cutting-edge research in self-contained, expository articles
Language: en
Pages: 395
Pages: 395
Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential
Language: en
Pages: 856
Pages: 856
Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitat
Language: en
Pages: 374
Pages: 374
The year 2000 is the centenary year of the publication of Bachelier's thesis which - together with Harry Markovitz Ph. D. dissertation on portfolio selection in
