Denis Belomestny John Schoenmakers Belomestny Advanced Simulation-Based Methods for Optimal Stopping and Control

Advanced Simulation-Based Methods for Optimal Stopping and Control

von Denis Belomestny John Schoenmakers

With Applications in Finance

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Beschreibung

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


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

Autor*in

Denis Belomestny

Themen in »Advanced Simulation-Based Methods for Optimal Stopping and Control«

algorithms applied mathematics business business finance corporate finance finance mathematics modeling optimal control optimization

Stimmen zu »Advanced Simulation-Based Methods for Optimal Stopping and Control«

Details

ISBN: 9781137033505
Verlag: Palgrave Macmillan UK
Erscheinung: 13.02.2018

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