Introduction to FinTech using Excel : In an R-assisted Learning Environment

Yuxing Yan

ISBN 10: 3031897781 / ISBN 13: 9783031897788

Published by Springer Nature Switzerland, Springer International Publishing, 2025

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book serves as a bridge, leveraging the familiarity of Excel and the power of R to make FinTech accessible to all. Financial Technology (FinTech) has revolutionized areas once dominated by traditional finance. However, the need to learn a programming language often creates a barrier for many learners.Excel-based learning builds confidence with tools that are already familiar to advanced students, while minimal R programming is required no prior R skills needed, just two simple lines of code. Hidden functions unlock powerful FinTech capabilities with ease.With this book, students can learn to generate public and private keys effortlessly,create a Hash for any given phrase, use the Merkle Tree to combine 100 transactions into a block's Hash, develop QR codes for websites or public keys, verify (x,y) values on the Elliptic curve for cryptography, and run models for both Unsupervised and Supervised Learning.The book includes definitions, exercises, and solutions for students to develop the skills to navigate and excel in the world of FinTech.

Seller Inventory # 9783031897788

Bibliographic Details

• Title: Introduction to FinTech using Excel : In an R-assisted Learning Environment
• Publisher: Springer Nature Switzerland, Springer International Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 3031897781
• ISBN 13: 9783031897788
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 29D millimeters 241 millimeters width by 160 millimeters height by 29 millimeters depth
• Weight: 933 grams

About this title

Synopsis

This book serves as a bridge, leveraging the familiarity of Excel and the power of R to make FinTech accessible to all. Financial Technology (FinTech) has revolutionized areas once dominated by traditional finance. However, the need to learn a programming language often creates a barrier for many learners.

Excel-based learning builds confidence with tools that are already familiar to advanced students, while minimal R programming is required—no prior R skills needed, just two simple lines of code. Hidden functions unlock powerful FinTech capabilities with ease.

With this book, students can learn to generate public and private keys effortlessly,create a Hash for any given phrase, use the Merkle Tree to combine 100 transactions into a block's Hash, develop QR codes for websites or public keys, verify (x,y) values on the Elliptic curve for cryptography, and run models for both Unsupervised and Supervised Learning.

The book includes definitions, exercises, and solutions for students to develop the skills to navigate and excel in the world of FinTech.

About the Author

Dr. Yuxing Yan lives in Rochester, NY (USA). He taught and worked at several universities, including McGill, Wilfrid Laurier, NTU, Loyola, the Wharton School (8 years), Hofstra, and Canisius College. His research focuses on Financial Modeling, FinTech, Cryptocurrency, Market Microstructure, and Financial Data Analytics. His articles have been published in the Journal of Fixed Income, Journal of Banking and Finance, and Journal of Empirical Finance, among others.