1
$\begingroup$

I saw the following proof of theta in a paper I read, and I thought it looked pretty neat. Unfortunately I don't understand the step that they do. This is what they do:

enter image description here

Now, I don't get how they go from $S_0 n(d_1)\frac{\partial d_1}{\partial t} - Xe^{-rt}n(d_2) \frac{\partial d_2}{\partial t}$ to $S_0 n(d1) \frac{\partial (d_1-d_2)}{\partial t}$. Could anyone explain to me why this is true?

$\endgroup$
5
  • 1
    $\begingroup$ Consider the relationship of $d_1$ and $d_2$ as well as the relationship of $n(d_1)$ and $n(d_2)$. $\endgroup$
    – Gordon
    Commented Oct 24, 2018 at 17:36
  • $\begingroup$ so $d_2 = d_1 - \sigma \sqrt{T}$, and consequently I thought $n(d_2) = n(d_1 - \sigma \sqrt{T})$. How can I use this to go further? $\endgroup$
    – John
    Commented Oct 24, 2018 at 17:50
  • $\begingroup$ Would it help to write out the normal density function? $\endgroup$
    – John
    Commented Oct 24, 2018 at 18:00
  • $\begingroup$ Yes, to write out the normal density function. $\endgroup$
    – Gordon
    Commented Oct 24, 2018 at 18:02
  • 2
    $\begingroup$ See also this question. $\endgroup$
    – Gordon
    Commented Oct 24, 2018 at 18:10

2 Answers 2

4
$\begingroup$

There is a well known identity for the Black Scholes model: $S_0 n(d_1)-X e^{-rT} n(d_2) = 0$ (proof).

Using this allows you to combine these two terms:

$$S_0 n(d_1)\frac{\partial d_1}{\partial t} - Xe^{-rT}n(d_2) \frac{\partial d_2}{\partial t}$$

into

$$S_0 n(d1) (\frac{\partial d_1}{\partial t}-\frac{\partial d_2}{\partial t})$$

or

$$S_0 n(d1) \frac{\partial (d_1-d_2)}{\partial t}$$

Then we use the fact that $d_1-d_2=\sigma\sqrt{t}$

$\endgroup$
0
$\begingroup$

Since Black Scholes Theta is for the Black–Scholes option pricing formula, the above step holds true.

For more info, refer page 3 and 4 of this pdf. http://moya.bus.miami.edu/~tsu/jef2008.pdf

$\endgroup$
1
  • $\begingroup$ This paper just repeats the equations above with no further explanation. $\endgroup$
    – Alex C
    Commented Nov 23, 2018 at 23:00

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.