R in finance and economics: a beginner's guide

By:

Singh, Abhay Kumar

Contributor(s):

Allen, David Edmund

Material type: Text

TextPublication details: World Scientific Publishing Singapore 2021Description: xvii, 245 pISBN:

9780000989048

Subject(s):

DDC classification:

330.0285 SIN

Summary: This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples. (https://www.worldscientific.com/worldscibooks/10.1142/10151#t=aboutBook)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Finance & Accounting	330.0285 SIN (Browse shelf(Opens below))	1	Available		005930

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.

(https://www.worldscientific.com/worldscibooks/10.1142/10151#t=aboutBook)

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