Quantitative finance for physicists an introduction
With more and more physicists and physics students exploring the possibility of utilizing their advanced math skills for a career in the finance industry, this much-needed book quickly introduces them to fundamental and advanced finance principles and methods. Quantitative Finance for Physicists pro...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
San Diego :
Elsevier Academic Press
c2005.
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| Edición: | 1st edition |
| Colección: | Academic Press Advanced Finance
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627126506719 |
Tabla de Contenidos:
- Front Cover; Quantitative Finance for Physicists: An Introduction; Copyright Page; Detailed Table of Contents; Chapter 1. Introduction; Chapter 2. Financial Markets; 2.1 Market Price Formation; 2.2 Returns and Dividends; 2.3 Market Efficiency; 2.4 Pathways for Further Reading; 2.5 Exercises; Chapter 3. Probability Distributions; 3.1 Basic Definitions; 3.2 Important Distributions; 3.3 Stable Distributions and Scale Invariance; 3.4 References for Further Reading; 3.5 Exercises; Chapter 4. Stochastic Processes; 4.1 Markov Processes; 4.2 Brownian Motion; 4.3 Stochastic Differential Equation
- 4.4 Stochastic Integral 4.5 Martingales; 4.6 References for Further Reading; 4.7 Exercises; Chapter 5. Time Series Analysis; 5.1 Autoregressive and Moving Average Models; 5.2 Trends and Seasonality; 5.3 Conditional Heteroskedasticity; 5.4 Multivariate Time Series; 5.5 References for Further Reading and Econometric Software; 5.6 Exercises; Chapter 6. Fractals; 6.1 Basic Definitions; 6.2 Multifractals; 6.3 References for Further Reading; 6.4 Exercises; Chapter 7. Nonlinear Dynamical Systems; 7.1 Motivation; 7.2 Discrete Systems: Logistic Map; 7.3 Continuous Systems; 7.4 Lorenz Model
- 7.5 Pathways to Chaos 7.6 Measuring Chaos; 7.7 References for Further Reading; 7.8 Exercises; Chapter 8. Scaling in Financial Time Series; 8.1 Introduction; 8.2 Power Laws in Financial Data; 8.3 New Developments; 8.4 References for Further Reading; 8.5 Exercises; Chapter 9. Option Pricing; 9.1 Financial Derivatives; 9.2 General Properties of Options; 9.3 Binomial Trees; 9.4 Black-Scholes Theory; 9.5 References for Further reading; 9.6 Appendix. The Invariant of the Arbitrage-Free Portfolio; 9.7 Exercises; Chapter 10. Portfolio Management; 10.1 Portfolio Selection
- 10.2 Capital Asset Pricing Model (CAPM)10.3 Arbitrage Pricing Theory (APT); 10.4 Arbitrage Trading Strategies; 10.5 References for Further Reading; 10.6 Exercises; Chapter 11. Market Risk Measurement; 11.1 Risk Measures; 11.2 Calculating Risk; 11.3 References for Further Reading; 11.4 Exercises; Chapter 12. Agent-Based Modeling of Financial Markets; 12.1 Introduction; 12.2 Adaptive Equilibrium Models; 12.3 Non-Equilibrium Price Models; 12.4 Modeling of Observable Variables; 12.5 References for Further Reading; 12.6 Exercises; Comments; References; Answers to Exercises; Index
