An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation, Volume 13This is a lively textbook providing a solid introduction to financial option valuation for undergraduate students armed with a working knowledge of a first year calculus. Written in a series of short chapters, its self-contained treatment gives equal weight to applied mathematics, stochastics and computational algorithms. No prior background in probability, statistics or numerical analysis is required. Detailed derivations of both the basic asset price model and the Black-Scholes equation are provided along with a presentation of appropriate computational techniques including binomial, finite differences and in particular, variance reduction techniques for the Monte Carlo method. Each chapter comes complete with accompanying stand-alone MATLAB code listing to illustrate a key idea. Furthermore, the author has made heavy use of figures and examples, and has included computations based on real stock market data. |
Contents
III | 1 |
IV | 2 |
V | 4 |
VI | 6 |
VII | 7 |
IX | 8 |
X | 11 |
XI | 12 |
LXXXIV | 133 |
LXXXV | 135 |
LXXXVI | 137 |
LXXXVIII | 141 |
LXXXIX | 144 |
XC | 145 |
XCI | 148 |
XCII | 149 |
XII | 13 |
XIV | 14 |
XV | 16 |
XVI | 17 |
XVII | 21 |
XX | 23 |
XXI | 24 |
XXII | 25 |
XXIII | 27 |
XXIV | 28 |
XXV | 29 |
XXVI | 33 |
XXVII | 34 |
XXVIII | 40 |
XXIX | 41 |
XXX | 45 |
XXXIII | 46 |
XXXIV | 48 |
XXXV | 49 |
XXXVI | 50 |
XXXVII | 53 |
XL | 55 |
XLI | 56 |
XLII | 57 |
XLIII | 59 |
XLIV | 60 |
XLV | 63 |
XLVI | 66 |
XLVII | 68 |
XLVIII | 69 |
XLIX | 71 |
L | 73 |
LI | 74 |
LII | 76 |
LIII | 78 |
LIV | 80 |
LV | 82 |
LVI | 83 |
LVII | 87 |
LVIII | 89 |
LIX | 92 |
LX | 93 |
LXI | 94 |
LXII | 96 |
LXIII | 99 |
LXIV | 101 |
LXVI | 102 |
LXVII | 104 |
LXVIII | 105 |
LXIX | 106 |
LXXI | 108 |
LXXII | 111 |
LXXIV | 115 |
LXXV | 116 |
LXXVI | 118 |
LXXVII | 120 |
LXXVIII | 123 |
LXXIX | 124 |
LXXX | 127 |
LXXXII | 128 |
LXXXIII | 131 |
XCIII | 151 |
XCIV | 153 |
XCV | 154 |
XCVI | 156 |
XCVII | 159 |
XCVIII | 163 |
XCIX | 164 |
C | 166 |
CI | 167 |
CII | 168 |
CIII | 170 |
CIV | 173 |
CV | 174 |
CVI | 176 |
CVII | 177 |
CVIII | 180 |
CIX | 182 |
CX | 183 |
CXI | 187 |
CXII | 191 |
CXIII | 192 |
CXIV | 193 |
CXV | 194 |
CXVI | 196 |
CXVII | 199 |
CXVIII | 203 |
CXIX | 204 |
CXX | 206 |
CXXI | 207 |
CXXII | 208 |
| 209 | |
CXXIV | 210 |
CXXV | 215 |
CXXVI | 216 |
CXXVII | 217 |
CXXVIII | 219 |
CXXIX | 221 |
CXXX | 222 |
CXXXII | 225 |
CXXXIV | 229 |
CXXXV | 231 |
CXXXVI | 232 |
CXXXVII | 234 |
CXXXVIII | 237 |
CXXXIX | 238 |
CXL | 239 |
CXLI | 240 |
CXLII | 246 |
CXLIII | 247 |
CXLIV | 249 |
| 251 | |
CXLVI | 252 |
CXLVII | 257 |
CXLVIII | 260 |
CXLIX | 261 |
CL | 262 |
CLI | 265 |
| 267 | |
| 271 | |
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An Introduction to Financial Option Valuation: Mathematics, Stochastics, and ... Desmond J. Higham No preview available - 2004 |
Common terms and phrases
algorithm American options American put antithetic variates approximation arbitrage array Asian option asset price model behaviour binomial method Black-Scholes formula Black-Scholes PDE Black-Scholes value boundary conditions BTCS call and put Central Limit Theorem Computational example confidence interval control variate convergence corresponding Crank-Nicolson dashed line delta denote density function derivatives discrete asset paths equally spaced error estimate European call option European put option exercise price expected payoff expiry date finite difference methods FTCS gives heat equation hence holder implied volatility interest rate listed in Figure Lower picture mathematical MATLAB max(S(T Newton's method Notes and references option value parameters payoff diagram points portfolio Program of Chapter PROGRAMMING EXERCISES pseudo-random number put-call parity quantiles random number random variable risk neutrality S(ti sample mean Section shows sigma simulation solution stochastic strike price sum-of-square t₁ time-zero Upper picture valuation var(X variance walkthrough zero σ²


