Overview

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.

Full Product Details

Author:   Satya Chakravarty (Indian Statistical Institute, India) ,  Palash Sarkar (Indian Statistical Institute, India)
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Publishing Limited
Edition:   Abridged edition
Dimensions:   Width: 15.20cm , Height: 1.50cm , Length: 22.90cm
Weight:   0.420kg
ISBN:  

9781789738940

ISBN 10:   1789738946
Pages:   208
Publication Date:   20 August 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

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, Itô 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

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Author Information

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.

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