![]() Cosma, Antonio ![]() in Journal of Financial and Quantitative Analysis (2020), 55(1), 331-356 Using a fast numerical technique, we investigate a large database of investors' suboptimal nonexercise of short-maturity American call options on dividend-paying stocks listed on the Dow Jones. The ... [more ▼] Using a fast numerical technique, we investigate a large database of investors' suboptimal nonexercise of short-maturity American call options on dividend-paying stocks listed on the Dow Jones. The correct modeling of the discrete dividend is essential for a correct calculation of the early exercise boundary, as confirmed by theoretical insights. Pricing with stochastic volatility and jumps instead of the Black--Scholes--Merton benchmark cuts the amount lost by investors through suboptimal exercise by one-quarter. The remaining three-quarters are largely unexplained by transaction fees and may be interpreted as an opportunity cost for the investors to monitor optimal exercise. [less ▲] Detailed reference viewed: 118 (9 UL)![]() Cosma, Antonio ![]() Scientific Conference (2016, December) Detailed reference viewed: 143 (4 UL)![]() Cosma, Antonio ![]() Scientific Conference (2016, July) Detailed reference viewed: 103 (5 UL)![]() Cosma, Antonio ![]() Scientific Conference (2016, May) Detailed reference viewed: 95 (4 UL)![]() Cosma, Antonio ![]() E-print/Working paper (2015) We introduce a fast and widely applicable numerical pricing method that uses recursive projections. We characterize its convergence speed. We find that the early exercise boundary of an American call ... [more ▼] We introduce a fast and widely applicable numerical pricing method that uses recursive projections. We characterize its convergence speed. We find that the early exercise boundary of an American call option on a discrete dividend paying stock is higher under the Merton and Heston models than under the Black-Scholes model, as opposed to the continuous dividend case. A large database of call options on stocks with quarterly dividends shows that adding stochastic volatility and jumps to the Black-Scholes benchmark reduces the amount foregone by call holders failing to optimally exercise by 25%. Transaction fees cannot fully explain the suboptimal behavior. [less ▲] Detailed reference viewed: 152 (9 UL)![]() Cosma, Antonio ![]() Scientific Conference (2014, April) Detailed reference viewed: 135 (9 UL) |
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