• C++ Programming for Financial Engineering
    Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!
    Python for Finance with Intro to Data Science
    Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!
    An Intuition-Based Options Primer for FE
    Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

Rubenstein, Unscrambling the binary code, 1991

Thanks again Andy.

On the first page, how did d, one plus the payout rate, and r enter the log?

The textbook risk neutral approach has them outside the log.

What's the expression for S in terms of r and d?
 
Thanks again Andy.

On the first page, how did d, one plus the payout rate, enter the option formula?

The textbook risk neutral approach does not have the d term.

Only because they take d=0; this is a more general case.
 
Never mind. I think I figured it out. I reread the start of the paper carefully and it says,

"... the underlying asset return can be assumed to follow a lognormal random walk."

The SDE should be:

($dS=\sigma SdW+[\log(d)-\log(r)]Sdt$)

Thanks for your time Doug.
 
Back
Top