An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain
1st Edition
Published on 20. August 2020
208 pages
978-1-78973-893-3 (ISBN)
Description
The purpose of An Introduction to Algorithmic Finance is to provide a broad-based accessible introduction to three of the presently most important areas of computational finance, namely, option pricing, algorithmic trading and blockchain. This will provide a basic understanding required for a career in the finance industry and for doing more specialized courses in finance.An Introduction to Algorithmic Finance breaks down into three parts. The first part provides the necessary theoretical background to Derivatives, Options and Stochastic Dominance. The second part covers various algorithmic issues of finance, discussing specific algorithms, their applications and consequences. The third part of the book is devoted to blockchain and cryptocurrency which complements the first two parts.An Introduction to Algorithmic Finance is an interesting, important read for anyone interested in or invested in the finance industry & it highlights and explains current phenomena in algorithmic finance in an articulate manner.
More details
Language
English
Place of publication
Bingley
United Kingdom
Target group
Professional and scholarly
File size
2,39 MB
ISBN-13
978-1-78973-893-3 (9781789738933)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Satya Chakravarty | Palash Sarkar
An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain
Book
08/2020
Emerald Publishing Limited
€130.00
Shipment within 10-20 days
Persons
Satya R. Chakraarty is an Honorary Visiting Professor of Economics at the Indian Statistical Institute, Kolkata, India. He serves on the Editorial Boards of Social Choice and Welfare, Review of Income and Wealth and Journal of Economic Inequality.
Palash Sarkar is a Professor at the Indian Statistical Institute, Kolkata. His primary research area is Cryptology. More generally, he is interested in topics at the intersection of Mathematics, Statistics and Computer Science.
Palash Sarkar is a Professor at the Indian Statistical Institute, Kolkata. His primary research area is Cryptology. More generally, he is interested in topics at the intersection of Mathematics, Statistics and Computer Science.
Content
I Derivatives, Options and Stochastic Dominance Chapter 1. Background and Preliminaries
Chapter 2. Valuation of Cash Flows and Fixed Income Securities: An Abridged Analysis
Chapter 3. A Brief Analytical Exposition of Markets for Options
Chapter 4. The Binomial Model: A Simplified Analysis
Chapter 5. Brownian Motion, Ito Lemma and The Black-Scholes-Merton Model
Chapter 6. Exotic Options: An Illustrative Presentation
Chapter 7. An Abbreviated Theoretical Treatment of Stochastic Dominance Relations
II Algorithmic Issues
Chapter 8. Option Pricing Using Finite Difference Method
Chapter 9. Option Pricing Using Monte Carlo Methods
Chapter 10. Determining Stochastic Dominance Relations
Chapter 11. Trading: Background Notions and Market Microstructure
Chapter 12. Algorithmic Trading Strategies
Chapter 13. Portfolio Optimisation
Chapter 14. Measures of Risk
Chapter 15. High Frequency Trading
III Blockchain and Cryptocurrency
Chapter 16. Background Concepts for Blockchain
Chapter 17. Introduction to Blockchain
Chapter 18. Cryptocurrency: Basics
Chapter 19. Cryptocurrency: Further Issues
Chapter 20. Examples of Cryptocurrencies
Chapter 21. Applications of Blockchain
Chapter 2. Valuation of Cash Flows and Fixed Income Securities: An Abridged Analysis
Chapter 3. A Brief Analytical Exposition of Markets for Options
Chapter 4. The Binomial Model: A Simplified Analysis
Chapter 5. Brownian Motion, Ito Lemma and The Black-Scholes-Merton Model
Chapter 6. Exotic Options: An Illustrative Presentation
Chapter 7. An Abbreviated Theoretical Treatment of Stochastic Dominance Relations
II Algorithmic Issues
Chapter 8. Option Pricing Using Finite Difference Method
Chapter 9. Option Pricing Using Monte Carlo Methods
Chapter 10. Determining Stochastic Dominance Relations
Chapter 11. Trading: Background Notions and Market Microstructure
Chapter 12. Algorithmic Trading Strategies
Chapter 13. Portfolio Optimisation
Chapter 14. Measures of Risk
Chapter 15. High Frequency Trading
III Blockchain and Cryptocurrency
Chapter 16. Background Concepts for Blockchain
Chapter 17. Introduction to Blockchain
Chapter 18. Cryptocurrency: Basics
Chapter 19. Cryptocurrency: Further Issues
Chapter 20. Examples of Cryptocurrencies
Chapter 21. Applications of Blockchain
