Implicit Volatility Stefano Grazioli.

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Presentation transcript:

Implicit Volatility Stefano Grazioli

Algotrading on the rise…

Critical Thinking Easy meter Grading fairness

Your Opinion Matters Skills/knowledge that you have learned from the class so far Is the class getting you to think on your own? What do you like about it? What can be improved? Attitude towards the HT

Implicit Volatility Goal seek and Solver

Volatility (sigma) is needed to compute delta Volatility is a measure of the dispersion of the returns of a security in a unit of time Implicit volatility is the volatility that a stock should have, given the observed market prices and assuming that BS is true.

Solving for sigma is too hard! Price of a Call = S * N(d1) – Xe-rt * N(d2) d1 = {ln(S/X) + (r + s 2/2)t} st d2 = d1 - st S = current spot price, X = option “strike” or “exercise” price, t = time to option expiration (in years), r = riskless rate of interest (per annum), s = spot return volatility (per annum), N(z) = probability that a standardized normal variable will be less than d. In Excel, this can be calculated using NORMSDIST(z). Delta for a Call = N(d1) Delta for a Put = N(d1) -1

Finding r analytically Preferred way to solve problems of the form “given that y=f(x) and that we know y, find x” Example: I = C [(1+r)t -1] If we know that I = $ 218.99 and t=10 and C = $1000 what is r? Analytical solution: First you solve the equation, i.e. r = (I/C+1)1/t – 1 then you plug in the numbers r = (218.99/1000+1)1/10 – 1 and finally you find out that r = 2%

Finding r iteratively Simplified example Pick an arbitrary solution value (e.g., r = 1%) and compute the formula: I = C [(1+r)t -1] Try another solution value (e.g., r=1.1%) and compute the formula If the value of I obtained in step 2 is closer to the known value of I ($218.99) than the value of I obtained in step (1) keep increasing the value of r, else reduce it. Keep on going until you find an r that generates a value of I close enough to the target I

Iterative Solutions Easy to use BUT Often only approximations Not guaranteed to find a solution Might miss solutions in case there is more than one y x

Excel Tools Goal seek if you have with one unknown “X” and one known “Y” – as in the example Goal “Y” is a constant No constraints Solver if you have more than one unknown “X”s – e.g., suppose that we did not know t and r and we had two observations Goal “Y” can be a constant, or a min, or a max Can do constraints on the Xs

Implicit Volatility Demo

WINIT What Is New In Technology?