Quantitative Analysis.
Trading Platform.
Python for Excel.
Author.

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I.Basic math.
II.Pricing and Hedging.
III.Explicit techniques.
1.Black-Scholes formula.
2.Change of variables for Kolmogorov equation.
3.Mean reverting equation.
4.Affine SDE.
5.Heston equations.
6.Displaced Heston equations.
7.Stochastic volatility.
A.Recovering implied distribution.
B.Local volatility.
C.Gyongy's lemma.
D.Static hedging of European claim.
a.Example: European put-call parity.
b.Example: Log contract.
E.Variance swap pricing.
8.Markovian projection.
9.Hamilton-Jacobi Equations.
IV.Data Analysis.
V.Implementation tools.
VI.Basic Math II.
VII.Implementation tools II.
Bibliography.
Forum Notation Index Contents

Static hedging of European claim.


e are seeking static replication of the functionMATH with a linear combination of the functions MATH defined in the previous section. Using the results ( Recovery of implied distribution) we writeMATH for some number $K_{0}$. We perform integration by parts to move the derivatives to the function $h$:MATH To simplify the boundary terms we derive the put-call parity for function $C$ and $P$:MATH where the MATH is the forward price of $X_{t}$. We also note that we separated the values of $k$ and use the out-of-money contracts so that the extreme boundary terms would vanish. We simplify the boundary terms as follows:MATHMATH

MATHMATH We conclude

MATH(static replication formula)
This result is model-independent.




a.Example: European put-call parity.
b.Example: Log contract.

Forum Notation Index Contents


















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