Advanced Simulation-Based Methods for Optimal Stopping and Control

With Applications in Finance

de

,

Éditeur :

Palgrave Macmillan


Paru le : 2018-01-31



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
105,49

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

Presents the very latest applications of probability modelling to derivatives pricing and risk management
Brings new approaches and applications to the quant’s toolkit - Monte Carlo simulations are the bedrock of much of the quantitative practitioners work and this book presents a core quant topic
Leading researchers Schoenmakers and Belomestny are well regarded for their research in stochastics and probability theory – this book will be well received by the community
Pages
364 pages
Collection
n.c
Parution
2018-01-31
Marque
Palgrave Macmillan
EAN papier
9781137033505
EAN PDF
9781137033512

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
5396 Ko
Prix
105,49 €
EAN EPUB
9781137033512

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
26993 Ko
Prix
105,49 €

Dr. John Schoenmakers (Berlin, Germany) is Deputy head of the Stochastic Algorithms and Nonparametric statistics research group at the Weierstrass Institute for Applied Analysis and Stochastics. His fields of interest include advanced modeling of equity and interest rate term structures, pricing and structuring of high dimensional callable derivatives, and general risk measures, stochastic modeling, Monte Carlo methods and many more. He has held the position of Visiting Professor at HU Berlin, and is on the editorial board of the Journal of Computational Finance, Monte Carlo Methods and its Applications, and International Journal of Portfolio Analysis and Management.

Dr. Denis Belomestny (Duisburg, Germany) is Senior Researcher at Weierstrass Institute for Applied Analysis and Stochastics, where he works on the Statistical Data Analysis and Applied Mathematical Finance project. Previously, he was a researcher at the Institute for Applied Mathematics at Bonn University. His research interests include nonparametric statistics, stochastic processes and financial mathematics, and his research is published in a number of peer reviewed publications.

Suggestions personnalisées