Computational Finance

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A01=Francesco Cesarone
Arithmetic Brownian Motion
asset allocation strategies
asset management
Author_Francesco Cesarone
Black Scholes Formulas
Brownian Motion
Category=KCH
Category=KF
Category=PBW
Computational Finance
computational techniques
corporate finance
Cumulative Distribution Function
Decisional Variable Space
derivatives pricing
Discrete Random Variable
Discrete Random Walk
Efficient Frontier
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
European Call
Finance
financial engineering
financial models
GBM
General Nonlinear Optimization Problem
investment banking
Ito's Lemma
Ito’s Lemma
Log Normal Random Variable
LP Problem
mathematical methods for economics and finance
MATLAB
MATLAB financial modelling techniques
Multi-objective Optimization Problems
numerical algorithms
numerical solution of models
optimisation methods
Path Dependent Derivatives
portfolio selection
probability theory applications
Put Call Parity Relationship
QP Problem
quantitative finance
Random Wealth
risk assessment
Risk Neutral Probability
Risk Neutral Probability Measure
Solve NLP Problem
statistics
Stochastic Differential Equation
stochastic processes
Strike Price
Wiener Process

Product details

  • ISBN 9780367493035
  • Weight: 610g
  • Dimensions: 174 x 246mm
  • Publication Date: 05 Aug 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability, and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance.

Francesco Cesarone is an Assistant Professor of Computational Finance at the Department of Business Studies of the Roma Tre University, Italy.

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