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.
A.Delta hedging in a situation of predictable jump I.
B.Delta hedging in a situation of predictable jump II.
C.Backward Kolmogorov's equation for a jump diffusion.
D.Risk neutral valuation in the predictable jump size situation.
E.Examples of credit derivative pricing.
a.Credit Default Swap.
b.At-the-money CDS coupon.
c.Option on CDS.
d.Basket Credit derivative.
F.Credit correlation.
G.Valuation of CDO tranches.
7.Incomplete markets.
III.Explicit techniques.
IV.Data Analysis.
V.Implementation tools.
VI.Basic Math II.
VII.Implementation tools II.
Bibliography.
Forum Notation Index Contents

Basket Credit derivative.


e have two instruments with prices MATH and MATH, default intensities MATH and MATH and the default times $\tau_{1},\tau_{2}$. The default times are independent random variables (or conditionally independent, see( Copula calculation for CDO)). The default times generate filtration $\QTR{cal}{H}_{t}$. The MATH generate filtration $\QTR{cal}{F}_{t}$. The composition of the two filtrations $\QTR{cal}{H}_{t}$ and $\QTR{cal}{F}_{t}$ is $\QTR{cal}{G}_{t}$. Let $\tau$ be the time of the first default of any asset. We aim to calculate MATH According to the transformationMATH (see the ( Total probability rule)) it is sufficient to compute MATH as if the MATH are deterministic functions of time. We proceed according to such recipe and use the techniques of the section ( Distribution of Poisson process section),MATHMATHMATHMATHMATHMATHMATHMATH

Suppose that we have three instruments and we are interested in calculation of the $\tau$ defined as the time of second default.MATHMATHMATHMATH





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