const_default_intensity: hazard rate of underlying default
divrate: A continuous rate for dividends and other cashflows such as foreign interest rates
borrow_cost: A continuous rate for stock borrow costs
dividends: A data.frame with columns time, fixed, and proportional. Dividend size at the given time is then expected to be equal to fixed + proportional * S / S0. Fixed dividends will be converted to proportional for purposes of this algorithm. To handle truly fixed dividends, see implied_jump_process_volatility
relative_tolerance: Relative tolerance in option price to achieve before halting the search
max.iter: Number of iterations to try before abandoning the search
max_vola: Maximum volatility to try in the search
Returns
A scalar volatility
Details
To get a straight Black-Scholes implied volatility, simply call this function with const_default_intensity set to zero (the default).
Examples
implied_volatility(2.5,1,100,105,0.01,0.75)implied_volatility(option_price =17, callput = CALL, S0 =250, K=245, r =0.005, time =2, const_default_intensity =0.03)
Other European Options: black_scholes_on_term_structures(), blackscholes(), implied_volatilities_with_rates_struct(), implied_volatilities(), implied_volatility_with_term_struct()