We present the regression-based Monte Carlo simulation algorithms for solving the stochastic control models associated with pricing and hedging of the Guaranteed Lifelong Withdrawal Benefit (GLWB) in variable annuities, where the dynamics of the underlying fund value is assumed to evolve...

We consider the optimal strategy of R&D expenditure adopted by a firm that engages in R&D to develop an innovative product to be launched in the market. The firm faces with technological uncertainty associated with the success of the R&D effort and market uncertainty of the stochastic revenue...

We aim to calibrate stochastic volatility models from option prices. We develop an optimal control approach to recover the risk neutral drift term of stochastic volatility. An efficient numerical algorithm is given. Numerical results and empirical studies are presented to demonstrate our...