Computational Finance with R (Hardcover, 1st ed. 2023)

This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from real financial problems like option pricing, risk management, portfolio selection, etc. Codes are provided in R programming language to execute the methods. Tables and figures, often with real data, illustrate the codes. References to related work are intended to aid the reader to pursue areas of specific interest in further detail. The comprehensive background with economic, statistical, mathematical, and computational theory strengthens the understanding. The coverage is broad, and linkages between different sections are explained. The primary audience is graduate students, while it should also be accessible to advanced undergraduates. Practitioners working in the finance industry will also benefit.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Indian Statistical Institute Series
Release date:	February 2023
First published:	2022
Authors:	Rituparna Sen • Sourish Das
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	351
Edition:	1st ed. 2023
ISBN-13:	978-981-19-2007-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-19-2007-9
Barcode:	9789811920073

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