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Risk 1 - Hans Buehler

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Modeling <strong>Risk</strong> – Basics<br />

Setting<br />

• Given is a Stochastic Differential Equation<br />

Brownian<br />

Motion<br />

dS(<br />

t)<br />

S(<br />

t)<br />

= (<br />

t)<br />

dt s ( t,<br />

S(<br />

t))<br />

dW ( t)<br />

Drift<br />

Volatility<br />

Forward<br />

— In the risk-neutral world, the drift is implied by E[S(t)] = F(t) as<br />

dF(<br />

t)<br />

( t)<br />

dt = r(<br />

t)<br />

<br />

( t)<br />

F(<br />

t)<br />

— Black & Scholes [3]: s= s BS is a constant number.<br />

5

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