(Original PDF) Stochastic Methods in Asset Pricing – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 9780262036559
- ISBN-13 : 978-0262036559
- Author: Andrew Lyasoff
This book presents a self-contained, comprehensive, and yet concise and condensed overview of the theory and methods of probability, integration, stochastic processes, optimal control, and their connections to the principles of asset pricing. The book is broader in scope than other introductory-level graduate texts on the subject, requires fewer prerequisites, and covers the relevant material at greater depth, mainly without rigorous technical proofs. The book brings to an introductory level certain concepts and topics that are usually found in advanced research monographs on stochastic processes and asset pricing, and it attempts to establish greater clarity on the connections between these two fields.
Table contents:
1. Probability Spaces and Related Structures 1
2. Integration 35
3. Absolute Continuity, Conditioning, and Independence 69
4. Convergence of Random Variables 97
5. The Art of Random Sampling 113
6. Equilibrium Asset Pricing in Finita Economies 123
7. Crash Course on Diserete-Time Martingales 161
8. Stochastic Processes and Brownian Motion 175
9. Crash Course on Continuous-Time Martingales 221
10. Stochastic Integration 257
11. Stochastic Differential Equations 295
12. The Connection between SDEs and PDEs 325
13. Brief Introduction to Assel Pricing in Continuous Time 337
14. Replication and Arbitrage 357
15. Resume of Stochastic Calculus with Discontinuous Processes 397
16. Random Measures and Levy Processes 425
17. Resume of the Theory and Methods of Stochastic Optimal Control 463
18. Applications to Dynamic Asset Pricing 481
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