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

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I.Basic math.
II.Pricing and Hedging.
1.Basics of derivative pricing I.
2.Change of numeraire.
3.Basics of derivative pricing II.
4.Market model.
5.Currency Exchange.
6.Credit risk.
7.Incomplete markets.
A.Single time period discrete price incomplete market.
B.Coherent measure.
C.Incomplete market with multiple participants.
D.Example: uncertain local volatility.
III.Explicit techniques.
IV.Data Analysis.
V.Implementation tools.
VI.Basic Math II.
VII.Implementation tools II.
Bibliography.
Forum Notation Index Contents

Example: uncertain local volatility.


his section follows [Avellaneda1995].

Let $X_{t}$ be a traded asset and the only state variable:MATH under the risk neutral measure. We are considering a situation when the analytical form of the function MATH is not known. However, we do assume thatMATH for all values of arguments. Following the conclusion ( Incomplete market ask) we are seekingMATH for some final payoff function MATH.

We introduce the notationMATH for the value of the derivative $\phi$ dependent on the particular assumption $\sigma$ about the volatility. For any $\sigma$ and all $t,x$ we haveMATH The supremum is approached by some sequence MATH. Under sufficient regularity restrictions on the class of $\sigma,\mu$ we pass the above PDE to the limit:MATH Clearly, the supremum is achieved ifMATHMATH Since the $X_{t}$ is the only state variable, the delta hedging is performed in the regular way using the MATH.





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