Numerical Methods for Partial Differential Equations · 2012 · 31 citations · 24 references
Natural SciencesMathematicsComputational MechanicsDynamical SystemsFinancial EconomicsBoundary ConditionsConvergence AnalysisNumerical AlgorithmsNumerical Methods For Differential EquationsNumerical Methods In FinancePartial Differential EquationsComplexityExponential Time DifferencingFinite Difference DiscretizationFinite Difference SchemesNumerical Solutions Of Partial Differential EquationsPartial Differential Equation SolversPositivity ConstraintsTime Discretization
Abstract In this article, we study the numerical solutions of a class of complex partial differential equation (PDE) systems with free boundary conditions. This problem arises naturally in pricing American options with regime‐switching, which adds significant complexity in the PDE systems due to regime coupling. Developing efficient numerical schemes will have important applications in computational finance. We propose a new method to solve the PDE systems by using a penalty method approach and an exponential time differencing scheme. First, the penalty method approach is applied to convert the free boundary value PDE system to a system of PDEs over a fixed rectangular region for the time and spatial variables. Then, a new exponential time differncing Crank–Nicolson (ETD‐CN) method is used to solve the resulting PDE system. This ETD‐CN scheme is shown to be second order convergent. We establish an upper bound condition for the time step size and prove that this ETD‐CN scheme satisfies a discrete version of the positivity constraint for American option values. The ETD‐CN scheme is compared numerically with a linearly implicit penalty method scheme and with a tree method. Numerical results are reported to illustrate the convergence of the new scheme. © 2012 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 2013
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A Regime-Switching Model of Long-Term Stock Returns
Mary R. Hardy · North American Actuarial Journal · 2001 · 446 citations