I'm currently taking an options and futures class and my professor brought up a point about vega that I would like to share.
So, vega is defined as the rate of change of the value of the portfolio with respect to the volatility, sigma. But in the Black-Scholes model, sigma or volatility is assumed to be constant and known (which we all know is not true, volatility smiles and the like). So trying to measure the sensitivity of our portfolio (or option) to volatility while using a model that assumes volatility is constant, doesn't that seem kind of whack!
Just food for thought, I would love to hear how this is done in practice and anyone with some real-world experience can talk about it.
-fabz
So, vega is defined as the rate of change of the value of the portfolio with respect to the volatility, sigma. But in the Black-Scholes model, sigma or volatility is assumed to be constant and known (which we all know is not true, volatility smiles and the like). So trying to measure the sensitivity of our portfolio (or option) to volatility while using a model that assumes volatility is constant, doesn't that seem kind of whack!
Just food for thought, I would love to hear how this is done in practice and anyone with some real-world experience can talk about it.
-fabz