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@@ -58,7 +58,7 @@ $r$ is the "risk-free" interest rate, and $D$ is the yield
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(dividend paying rate) of the underlying stock.
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The volatility $\sigma$ stems from an underlying assumption that
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the stock moves like a geometric Brownial motion,
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the stock moves like a geometric Brownian motion,
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!bt
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\begin{equation}
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\frac{dS}{S} = \mu dt + \sigma dW.
@@ -76,8 +76,8 @@ always possible.
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Instead of an initial value problem, we have a terminal value
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problem at time $T$, i.e. the expiration date or the
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maturity date. We change to an initial value problem
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by substitutin $\tau = T - t$. This new variable can
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be interpretad as time remaining to expiration.
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by substituting $\tau = T - t$. This new variable can
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be interpreted as time remaining to expiration.
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The transformed spatial variable is $x = \ln(S/E)$, where
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$E$ is the exercise price of the option. Now, values of
@@ -88,7 +88,7 @@ positive values of $x$ correspond to prices higher than the
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exercise price.
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Just substituting for the variables above leads to a parabolic
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equation, with constant coefficitions. Show that by making a final
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equation, with constant coefficients. Show that by making a final
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substitution;
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!bt
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\begin{equation}
@@ -120,7 +120,7 @@ What are the correct parameters for $\alpha$ and $\beta$?
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You can implement a solver for the diffusion equation
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inspiration from the project on the diffusion equation.
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Another very good resourse is Langtangen and Linge's
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Another very good resource is Langtangen and Linge's
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book "Finite Difference Computing with PDEs".
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It is highly recommended to start with an explicit
@@ -247,7 +247,7 @@ project.
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* Include your results either in figure form or in a table. Remember to label your results. All tables and figures should have relevant captions and labels on the axes.
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* Try to evaluate the reliabilty and numerical stability/precision of your results. If possible, include a qualitative and/or quantitative discussion of the numerical stability, eventual loss of precision etc.
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* Try to evaluate the reliability and numerical stability/precision of your results. If possible, include a qualitative and/or quantitative discussion of the numerical stability, eventual loss of precision etc.
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* Try to give an interpretation of you results in your answers to the problems.
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