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.

• 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 RelationsII Algorithmic IssuesChapter 8. Option Pricing Using Finite Difference MethodChapter 9. Option Pricing Using Monte Carlo Methods Chapter 10. Determining Stochastic Dominance RelationsChapter 11. Trading: Background Notions and Market MicrostructureChapter 12. Algorithmic Trading StrategiesChapter 13. Portfolio OptimisationChapter 14. Measures of RiskChapter 15. High Frequency Trading III Blockchain and CryptocurrencyChapter 16. Background Concepts for BlockchainChapter 17. Introduction to BlockchainChapter 18. Cryptocurrency: BasicsChapter 19. Cryptocurrency: Further IssuesChapter 20. Examples of CryptocurrenciesChapter 21. Applications of Blockchain

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.

• 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 RelationsII Algorithmic IssuesChapter 8. Option Pricing Using Finite Difference MethodChapter 9. Option Pricing Using Monte Carlo Methods Chapter 10. Determining Stochastic Dominance RelationsChapter 11. Trading: Background Notions and Market MicrostructureChapter 12. Algorithmic Trading StrategiesChapter 13. Portfolio OptimisationChapter 14. Measures of RiskChapter 15. High Frequency Trading III Blockchain and CryptocurrencyChapter 16. Background Concepts for BlockchainChapter 17. Introduction to BlockchainChapter 18. Cryptocurrency: BasicsChapter 19. Cryptocurrency: Further IssuesChapter 20. Examples of CryptocurrenciesChapter 21. Applications of Blockchain

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.

• 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 RelationsII Algorithmic IssuesChapter 8. Option Pricing Using Finite Difference MethodChapter 9. Option Pricing Using Monte Carlo Methods Chapter 10. Determining Stochastic Dominance RelationsChapter 11. Trading: Background Notions and Market MicrostructureChapter 12. Algorithmic Trading StrategiesChapter 13. Portfolio OptimisationChapter 14. Measures of RiskChapter 15. High Frequency Trading III Blockchain and CryptocurrencyChapter 16. Background Concepts for BlockchainChapter 17. Introduction to BlockchainChapter 18. Cryptocurrency: BasicsChapter 19. Cryptocurrency: Further IssuesChapter 20. Examples of CryptocurrenciesChapter 21. Applications of Blockchain