Author Description

<p><b><i>"The book will form a solid foundation to support the transition of students into the world of work or further research."</i></b></p> <p>Professor Jane M Binner, Chair of Finance, Department of Finance, University of Birmingham, UK</p> <p><b><i>"In over 20 years of teaching quantitative methods, I have rarely come across a book such as this which meets/exceeds all the expectations of its intended audience so well"</i></b></p> <p>Tuan Yu, Lecturer, Kent Business School, Canterbury, UK</p> <p><b><i>"This is a fantastic book for anyone wanting to understand, learn and apply quantitative methods in finance using R" </i></b></p> <p>Professor Raphael Markellos, Professor of Finance, Norwich Business School, UK</p> <p><b><i><br></i></b></p> <p><b>Quantitative Methods in Finance Using R</b> draws on the extensive teaching and research expertise of John Fry and Matt Burke, covering a wide range of quantitative methods in Finance that utilise the freely downloadable R software. With software playing an increasingly important role in finance, this book is a must-have introduction for finance students who want to explore how they can undertake their own quantitative analyses in dissertation and project work.</p> <p>Assuming no prior knowledge, and taking a holistic approach, this brand new title guides you from first principles and help to build your confidence in tackling large data sets in R. </p> <p>Complete with examples and exercises with worked solutions, Fry and Burke demonstrate how to use the R freeware for regression and linear modelling, with attention given to presentation and the importance of good writing and presentation skills in project work and data analysis more generally.</p> <p><b>Through this book, you will develop your understanding of:</b></p> <p>*Descriptive statistics</p> <p>*Inferential statistics</p> <p>*Regression</p> <p>*Analysis of variance</p> <p>*Probability regression models</p> <p>*Mixed models</p> <p>*Financial and non-financial time