The book also aims to bridge the gap between theory and practice by providing examples and case studies that illustrate how stochastic analysis can be used to solve real-world financial problems. It addresses the demand for resources that cover the stochastic analysis theory related to finance comprehensively, and hopes to make a valuable contribution to the field by advancing our understanding of stochastic analysis and its applications in finance.
Since stochastic analysis is a rapidly evolving field, the book showcases some of the latest research findings in the topic. It aims to promote further research in the field, serving as a platform for researchers to share their ideas and findings with a wider audience.
The book also aims to bridge the gap between theory and practice by providing examples and case studies that illustrate how stochastic analysis can be used to solve real-world financial problems. It addresses the demand for resources that cover the stochastic analysis theory related to finance comprehensively, and hopes to make a valuable contribution to the field by advancing our understanding of stochastic analysis and its applications in finance.
Since stochastic analysis is a rapidly evolving field, the book showcases some of the latest research findings in the topic. It aims to promote further research in the field, serving as a platform for researchers to share their ideas and findings with a wider audience.
Stochastic Analysis: Financial Mathematics with Matlab®
408
Stochastic Analysis: Financial Mathematics with Matlab®
408Paperback
Product Details
| ISBN-13: | 9783111442853 |
|---|---|
| Publisher: | De Gruyter |
| Publication date: | 06/30/2025 |
| Series: | De Gruyter Textbook |
| Pages: | 408 |
| Product dimensions: | 6.69(w) x 9.45(h) x (d) |
| Age Range: | 18 Years |