Financial calculus Introduction to Financial Option Valuation 8 potx

Financial calculus Introduction to Financial Option Valuation_2 pdf

Financial calculus Introduction to Financial Option Valuation_2 pdf

... characterized by (6 .8) and (6.9) is the solution to an SDE. Reasonably accessible SDE texts are (Gard, 1 988 ; Mao, 1997; Øksendal, 19 98) , although all require some background in stochastic processes ... familiar to anybody who has seen stock market data displayed in graphical form. To examine this data, it is reasonable to treat it on the same level as the output from a pseudo-ran...
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Financial calculus Introduction to Financial Option Valuation_3 doc

Financial calculus Introduction to Financial Option Valuation_3 doc

... relation (8. 3). [Hint: use Exer- cise 3.7.] 8. 2.  Show that (8. 21) can be replaced by (8. 22). 8. 3. Confirm that C(S, t) in (8. 19) satisfies (8. 16), (8. 17) and (8. 18) . [Hint: to deal with (8. 16), ... transformed into such aproblem. The other constraints, (8. 17) and (8. 18) , are known as boundary condi- tions. 8. 5 Black–Scholes formulas Imposing (8. 16), (8. 17) and (8. 18)...
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Financial calculus Introduction to Financial Option Valuation_4 pptx

Financial calculus Introduction to Financial Option Valuation_4 pptx

... explicit formulas (8. 19) and (8. 24), we may differentiate with respect to S to obtain the required asset holding A i in (8. 10). This partial derivative ∂V/∂ S is called the delta of an option, and the ... Black–Scholes option valuation formulas (8. 19) and (8. 24) depend upon S, t and the parameters E, r and σ .Inthis chapter we derive expressions for partial derivatives of the o...
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Financial calculus Introduction to Financial Option Valuation_5 doc

Financial calculus Introduction to Financial Option Valuation_5 doc

... call option, and p := P S , for a put option. In these new variables, d 1 and d 2 in (8. 20) and (8. 21) simplify to d 1 = m τ + τ 2 and d 2 = m τ − τ 2 , (11.1) and, from (8. 19) and (8. 24), ... possible, for exam- ple, to design a hybrid algorithm that uses a safe method, like bisection, until the iterates are close to an x  and then switches to Newton’s method to get th...
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Financial calculus Introduction to Financial Option Valuation_6 ppt

Financial calculus Introduction to Financial Option Valuation_6 ppt

... 340 5425 280 1 2 5525 226 5625 179 1 2 5725 139 582 5 105 5100 5200 5300 5400 5500 5600 5700 580 0 5900 0.172 0.174 0.176 0.1 78 0. 18 0. 182 0. 184 0. 186 0. 188 0.19 0.192 Exercise price Implied volatility FTSE ... costly. To reduce the error to, say, 10 −4 would take of the order of 10 8 samples, and to reduce it to 10 −6 would take of the order of 10 12 samples; see Exerc...
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Financial calculus Introduction to Financial Option Valuation_8 potx

Financial calculus Introduction to Financial Option Valuation_8 potx

... to the option, and hence for each S, t one of ( 18. 1) and ( 18. 2) is at equality. ( 18. 3) The three components ( 18. 1), ( 18. 2) and ( 18. 3) are the key features in the the- ory of American option valuation. ... the option value V 0 0 . The option value output by ch 18. m is 1.01 58. The validity of the result will be confirmed by ch24 in Chapter 24. PROGRAMMING EXERCISES P 18....
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Financial calculus Introduction to Financial Option Valuation_9 potx

Financial calculus Introduction to Financial Option Valuation_9 potx

... σ  is computed in order to value an option, then a widely quoted rule of thumb is to make the historical data time-frame Mt equal to that of the option: to value an option that expires in six ... references 209 20 40 60 80 100 120 140 160 180 0 0.2 0.4 0.6 0 .8 1 Days Vol Daily 20 40 60 80 100 120 140 160 180 200 0 0.2 0.4 0.6 0 .8 1 Weeks Vol Weekly Fig. 20.1. Historical v...
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Financial calculus Introduction to Financial Option Valuation_10 ppt

Financial calculus Introduction to Financial Option Valuation_10 ppt

... widths 10 2 [1 .88 41, 2.0752] [1.9623, 2.0004] 0 .89 5.0 10 3 [1.95 38, 2.0 087 ] [1.9937, 2.00 48] 0 .88 4.9 10 4 [1. 989 0, 2.0062] [1.9993, 2.0027] 0 .88 5.0 10 5 [1.9969, 2.0023] [1.9994, 2.0005] 0 .88 5.0 var(e √ U − ... Ratio of widths 10 2 [1 .88 41, 2.0752] [1. 987 5, 2.0012] 14.0 10 3 [1.95 38, 2.0 087 ] [1.9976, 2.0017] 13.4 10 4 [1. 989 0, 2.0062] [1.9997, 2.0010] 13.5 10 5 [1.996...
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An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_13 pot

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_13 pot

... is to truncate the domain to S ∈ [0, L], where L is some suitably large value. Using (8. 17) and (8. 18) , this gives call boundary conditions C(0,τ) = 0andC(L,τ) = L. (24.4) Similarly, from (8. 26) ... (Iserles, 1996; Mitchell and Griffiths, 1 980 ; Morton and Mayers, 1994; Strikwerda, 1 989 ). The texts (Clewlow and Strickland, 19 98; Kwok, 19 98; Wilmott, 19 98; Wilmott et al., 1995; Se...
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An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_14 pot

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_14 pot

... Index dividends, 49, 182 double barrier option, 191 down-and-in call, 188 , 189 down-and-in put, 190 down-and-out call, 187 – 189 , 260–261, 265 down-and-out put, 190 drift, 54, 105, 1 98 efficient market ... 1 98 geometric Brownian motion, 57, 61 geometrically declining weights, 2 08, 210 Greeks, 99–102 grid, 239 heat equation, 2 38 239, 262, 265 hedging, 74, 76– 78, 82 , 87 –93, 106,...
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