Computational Finance: MATLAB® Oriented Modeling (Routledge-Giappichelli Studies in Business and Management) - Image 1

Price loading...

Routledge Computational Finance: MATLAB® Oriented Modeling (Routledge-Giappichelli Studies in Business and Management)

Name: Computational Finance: MATLAB(R) Oriented Modeling (Routledge-Giappichelli Studies in Business and Management)
Brand: Routledge

Econometrics

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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

Product Specifications

Brand: Routledge
Format: hardcover
ASIN: 0367493039
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 05 August 2020
Listed Since: 20 March 2020

Barcode

No barcode data available

Routledge Computational Finance: MATLAB® Oriented Modeling (Routledge-Giappichelli Studies in Business and Management)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Implementing Models in Quantitative Finance: Methods and Cases (Springer Finance)

Financial Modelling: Theory, Implementation and Practice with MATLAB Source (The Wiley Finance Series)

Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes

Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction: 20 (Statistics in Practice)

Mathematical Finance: Theory, Modeling, Implementation

Numerical Methods and Optimization in Finance

Computational Economics: A concise introduction (Routledge Advanced Texts in Economics and Finance)

Computational Finance: An Introductory Course with R: 1 (Atlantis Studies in Computational Finance and Financial Engineering, 1)

Financial Derivative and Energy Market Valuation: Theory and Implementation in MATLAB

Stochastic Simulation and Applications in Finance with MATLAB Programs (The Wiley Finance Series)

Computation and Simulation for Finance: An Introduction with Python (Springer Undergraduate Texts in Mathematics and Technology)

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2018

Springer - Novel Methods in Computational Finance (Vol. 25)

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Quantitative Finance: An Introduction to Investments, Asset Pricing, and Derivatives

Quantitative Finance (Statistics in Practice)

Mathematical Finance

Business Economics and Finance with MATLAB, GIS, and Simulation Models

Deterministic And Stochastic Topics In Computational Finance

Financial Risk Forecasting: The Theory and Practice of Forecasting Market Risk with Implementation in R and Matlab (The Wiley Finance Series)

Business Economics and Finance with MATLAB, GIS, and Simulation Models

Computational Finance: Numerical Methods for Pricing Financial Instruments (Quantitative Finance)

Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)