I have noticed that the CBOE will show you the risk-free rate for the options you search. Today the r = 0.017625. I want to be able to calculate this value. Can the r value be pulled from ibapi? I read this paper on the simulatneous solution for implied volatility and risk-free rate.
call price = Φ(d1)S - Φ(d1)Ke^(-rτ), where d2 = [ln(S/K)+(r-σ^2/2)τ]/σ√τ.
Instead of taking the difference between the T bill yield for duration in question and inflation—which may not represent the actual rate—an optimization algorithm is used.
Look at two options: different strikes but same expiry. Compare the option values.
Solve the system of equations:
C1(σ,r) = C1* ;
C2(σ,r) = C2* ; C1* and C2* are the calls' market prices
C1(σ,r) and C2(σ,r) are the B-S formula evlauted at σ and r.
First order Taylor approximation for small δσ δr
If there is a solution to this system, δσ and δr are added to σ and r. This process of finding δσ and δr are repeated until the assumptions of the B-S model are violated.
Using python, I have been able to back-calculate the implied volatility per option. What I don't understand is the risk-free rate. Where is that data coming from? Where the CBOE get/calculate it from?
All of the python examples I have seen show the value for r being supplied by the user. I was hoping for a way to calculate this continuously throughout time.
http://ase.tufts.edu/economics/documents/papers/2014/bianconiImpliedVolatility.pdf
call price = Φ(d1)S - Φ(d1)Ke^(-rτ), where d2 = [ln(S/K)+(r-σ^2/2)τ]/σ√τ.
Instead of taking the difference between the T bill yield for duration in question and inflation—which may not represent the actual rate—an optimization algorithm is used.
Look at two options: different strikes but same expiry. Compare the option values.
Solve the system of equations:
C1(σ,r) = C1* ;
C2(σ,r) = C2* ; C1* and C2* are the calls' market prices
C1(σ,r) and C2(σ,r) are the B-S formula evlauted at σ and r.
First order Taylor approximation for small δσ δr
If there is a solution to this system, δσ and δr are added to σ and r. This process of finding δσ and δr are repeated until the assumptions of the B-S model are violated.
Using python, I have been able to back-calculate the implied volatility per option. What I don't understand is the risk-free rate. Where is that data coming from? Where the CBOE get/calculate it from?
All of the python examples I have seen show the value for r being supplied by the user. I was hoping for a way to calculate this continuously throughout time.
http://ase.tufts.edu/economics/documents/papers/2014/bianconiImpliedVolatility.pdf