This paper studies the probability distribution and option pricing for drawdown in a stochastic volatility environment. We derive an analytical approximation formula for them by applying a singular perturbation method ([12]). Then, numerical examples show that the instantaneous correlation...

In the paper, we propose a new calculation scheme for American options in the framework of a forward backward stochastic di erential equation (FBSDE). The well-known decomposition of an American option price with that of a European option of the same maturity and the remaining early exercise...

In the paper, we propose a new calculation scheme for American options in the framework of a forward backward stochastic differential equation (FBSDE). The wellknown decomposition of an American option price with that of a European option of the same maturity and the remaining early exercise...

In the paper, we propose a new calculation scheme for American options in the framework of a forward backward stochastic dierential equation (FBSDE). The well-known decomposition of an American option price with that of a European option of the same maturity and the remaining early exercise...

This paper studies the probability distribution and option pricing for drawdown in a stochastic volatility environment. Their analytical approximation formulas are derived by the application of a singular perturbation method (Fouque et al. [7]). The mathematical validity of the approximation is...

This paper proposes a new approach to style analysis by utilizing a general state space model and Monte Carlo filter. In particular,We regard coefficients of style indices as state variables in the state space model and apply Monte Carlo filter as estimation method. Moreover, an empirical...

This paper studies the probability distribution and option pricing for drawdown in a stochastic volatility environment. Their analytical approximation formulas are derived by the application of a singular perturbation method (Fouque et al. [7]). The mathematical validity of the approximation is...