Author: | Luca Spadafora, Gennady P Berman | ISBN: | 9789813202498 |
Publisher: | World Scientific Publishing Company | Publication: | April 27, 2017 |
Imprint: | WSPC | Language: | English |
Author: | Luca Spadafora, Gennady P Berman |
ISBN: | 9789813202498 |
Publisher: | World Scientific Publishing Company |
Publication: | April 27, 2017 |
Imprint: | WSPC |
Language: | English |
This book provides simple introduction to quantitative finance for students and junior quants who want to approach the typical industry problems with practical but rigorous ambition. It shows a simple link between theoretical technicalities and practical solutions. Mathematical aspects are discussed from a practitioner perspective, with a deep focus on practical implications, favoring the intuition and the imagination. In addition, the new post-crisis paradigms, like multi-curves, x-value adjustments (xVA) and Counterparty Credit Risk are also discussed in a very simple framework. Finally, real world data and numerical simulations are compared in order to provide a reader with a simple and handy insight on the actual model performances.
Contents:
Readership: Students and researchers in the fields of quantitative finance, risk management and stochastic analysis.
Key Features:
This book provides simple introduction to quantitative finance for students and junior quants who want to approach the typical industry problems with practical but rigorous ambition. It shows a simple link between theoretical technicalities and practical solutions. Mathematical aspects are discussed from a practitioner perspective, with a deep focus on practical implications, favoring the intuition and the imagination. In addition, the new post-crisis paradigms, like multi-curves, x-value adjustments (xVA) and Counterparty Credit Risk are also discussed in a very simple framework. Finally, real world data and numerical simulations are compared in order to provide a reader with a simple and handy insight on the actual model performances.
Contents:
Readership: Students and researchers in the fields of quantitative finance, risk management and stochastic analysis.
Key Features: