近年来,金融数学的发展离不开随机微积分,而本书提供了一种完全独立于该方法的新方法,将量子力学和量子场论中的数学公式和概念运用到期货理论和利率模型中,重点讲述路径积分。相应的得到了不少新的预期结果。本书内容包括:(第一部分)金融基本概念:金融基础;衍生证券;(第二部分)有限自由度系统:哈密顿体系和股票期货;路径积分和股票期货;随机利率模型的哈密顿体系和路径积分;(第三部分)利率模型的量子场论:利率远期合约的量子场论;经验利率远期合约和场论模型;国债衍生品场论;利率远期合约和场论哈密顿体系;结论。
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书名 | 量子金融 |
分类 | 经济金融-金融会计-金融 |
作者 | (新加坡)芭奎 |
出版社 | 世界图书出版公司 |
下载 | ![]() |
简介 | 编辑推荐 近年来,金融数学的发展离不开随机微积分,而本书提供了一种完全独立于该方法的新方法,将量子力学和量子场论中的数学公式和概念运用到期货理论和利率模型中,重点讲述路径积分。相应的得到了不少新的预期结果。本书内容包括:(第一部分)金融基本概念:金融基础;衍生证券;(第二部分)有限自由度系统:哈密顿体系和股票期货;路径积分和股票期货;随机利率模型的哈密顿体系和路径积分;(第三部分)利率模型的量子场论:利率远期合约的量子场论;经验利率远期合约和场论模型;国债衍生品场论;利率远期合约和场论哈密顿体系;结论。 目录 Foreword Preface Acknowledgments 1 Synopsis Part Ⅰ Fundamental concepts of finance 2 Introduction to finance 2.1 Efficient market: random evolution of securities 2.2 Financial markets 2.3 Risk and return 2.4 Time value of money 2.5 No arbitrage, martingales and risk-neutral measure 2.6 Hedging 2.7 Forward interest rates: fixed-income securities 2.8 Summary 3 Derivative securities 3.1 Forward and futures contracts 3.2 Options 3.3 Stochastic differential equation 3.4 Ito calculus 3.5 Black-Scholes equation: hedged portfolio 3.6 Stock price with stochastic volatility 3.7 Merton--Garman equation 3.8 Summary 3.9 Appendix: Solution for stochastic volatility with p = 0 Part Ⅱ Systems with finite number of degrees of freedom 4 Hamiltonians and stock options 4.1 Essentials of quantum mechanics 4.2 State space: completeness equation 4.3 Operators: Hamiltonian 4.4 Biack-Scholes and Merton-Garman Hamiltonians 4.5 Pricing kernel for options 4.6 Eigenfunction solution of the pricing kernel 4.7 Hamiltonian formulation of the martingale condition 4.8 Potentials in option pricing 4.9 Hamiltonian and barrier options 4.10 Summary 4.11 Appendix: Two-state quantum system (qubit) 4.12 Appendix: Hamiltonian in quantum mechanics 4.13 Appendix: Down-and-out barrier option's pricing kernel 4.14 Appendix: Double-knock-out barrier option's pricing kernel 4.15 Appendix: Schrodinger and Black-Scholes equations 5 Path integrals and stock options 5.1 Lagrangian and action for the pricing kernel 5.2 Black-Scholes Lagrangian 5.3 Path integrals for path-dependent options 5.4 Action for option-pricing Hamiltonian 5.5 Path integral for the simple harmonic oscillator 5.6 Lagrangian for stock price with stochastic volatility 5.7 Pricing kernel for stock price with stochastic volatility 5.8 Summary 5.9 Appendix: Path-integral quantum mechanics 5.10 Appendix: Heisenberg's uncertainty principle in finance 5.11 Appendix: Path integration over stock price 5.12 Appendix: Generating function for stochastic volatility 5.13 Appendix: Moments of stock price and stochastic volatility 5.14 Appendix: Lagrangian for arbitrary at 5.15 Appendix: Path integration over stock price for arbitrary at 5.16 Appendix: Monte Carlo algorithm for stochastic volatility 5.17 Appendix: Merton's theorem for stochastic volatility 6 Stochastic interest rates' Hamiltonians and path integrals 6.1 Spot interest rate Hamiltonian and Lagrangian 6.2 Vasicek model's path integral 6.3 Heath-Jarrow-Morton (HJM) model's path integral 6.4 Martingale condition in the HJM model 6.5 Pricing of Treasury Bond futures in the HJM model 6.6 Pricing of Treasury Bond option in the HJM model 6.7 Summary 6.8 Appendix: Spot interest rate Fokker-Planck Hamiltonian 6.9 Appendix: Affine spot interest rate models 6.10 Appendix: Black-Karasinski spot rate model 6.11 Appendix: Black-Karasinski spot rate Hamiltonian 6.12 Appendix: Quantum mechanical spot rate models Part Ⅲ Quantum field theory of interest rates models 7 Quantum field theory of forward interest rates 7.1 Quantum field theory 7.2 Forward interest rates' action 7.3 Field theory action for linear forward rates 7.4 Forward interest rates' velocity quantum field A(t, x) 7.5 Propagator for linear forward rates 7.6 Martingale condition and risk-neutral measure 7.7 Change of numeraire 7.8 Nonlinear forward interest rates 7.9 Lagrangian for nonlinear forward rates 7.10 Stochastic volatility: function of the forward rates 7.11 Stochastic volatility: an independent quantum field 7.12 Summary 7.13 Appendix: HJM limit of the field theory 7.14 Appendix: Variants of the rigid propagator 7.15 Appendix: Stiff propagator 7.16 Appendix: Psychological future time 7.17 Appendix: Generating functional for forward rates 7.18 Appendix: Lattice field theory of forward rates 7.19 Appendix: Action S, for change of numeraire 8 Empirical forward interest rates and field theory models 8.1 Eurodollar market 8.2 Market data and assumptions used for the study 8.3 Correlation functions of the forward rates models 8.4 Empirical correlation structure of the forward rates 8.5 Empirical properties of the forward rates 8.6 Constant rigidity field theory model and its variants 8.7 Stiff field theory model 8.8 Summary 8.9 Appendix: Curvature for stiff correlator 9 Field theory of Treasury Bonds' derivatives and hedging 9.1 Futures for Treasury Bonds 9.2 Option pricing for Treasury Bonds 9.3 'Greeks' for the European bond option 9.4 Pricing an interest rate cap 9.5 Field theory hedging of Treasury Bonds 9.6 Stochastic delta hedging of Treasury Bonds 9.7 Stochastic hedging of Treasury Bonds: minimizing variance 9.8 Empirical analysis of instantaneous hedging 9.9 Finite time hedging 9.10 Empirical results for finite time hedging 9.11 Summary 9.12 Appendix: Conditional probabilities 9.13 Appendix: Conditional probability of Treasury Bonds 9.14 Appendix: HJM limit of hedging functions 9.15 Appendix: Stochastic hedging with Treasury Bonds 9.16 Appendix: Stochastic hedging with futures contracts 9.17 Appendix: HJM limit of the hedge parameters 10 Field theory Hamiltonian of forward interest rates 10.1 Forward interest rates' Hamiltonian 10.2 State space for the forward interest rates 10.3 Treasury Bond state vectors 10.4 Hamiltonian for linear and nonlinear forward rates 10.5 Hamiltonian for forward rates with stochastic volatility 10.6 Hamiltonian formulation of the martingale condition 10.7 Martingale condition: linear and nonlinear forward rates 10.8 Martingale condition: forward rates with stochastic volatility 10.9 Nonlinear change of numeraire 10.10 Summary 10.11 Appendix: Propagator for stochastic volatility 10.12 Appendix: Effective linear Hamiltonian 10.13 Appendix: Hamiltonian derivation of European bond option 11 Conclusions A Mathematical background A.1 Probability distribution A.2 Dirac Delta function A.3 Gaussian integration A.4 White noise A.5 The Langevin Equation A.6 Fundamental theorem of finance A.7 Evaluation of the propagator Brief glossary of financial terms Brief glossary of physics terms List of main symbols References Index |
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