Optimization in a Simulation Setting: Use of Function Approximation in Debt Strategy Analysis Staff Working Paper 2007-13 David Bolder, Tiago Rubin The stochastic simulation model suggested by Bolder (2003) for the analysis of the federal government's debt-management strategy provides a wide variety of useful information. It does not, however, assist in determining an optimal debt-management strategy for the government in its current form. Content Type(s): Staff research, Staff working papers Research Topic(s): Debt management, Econometric and statistical methods, Financial markets, Fiscal policy JEL Code(s): C, C0, C1, C14, C15, C5, C51, C52, C6, C61, C65, E, E6, G, G1, H, H6, H63
Conditioning Information and Variance Bounds on Pricing Kernels with Higher-Order Moments: Theory and Evidence Staff Working Paper 2006-38 Fousseni Chabi-Yo The author develops a strategy for utilizing higher moments and conditioning information efficiently, and hence improves on the variance bounds computed by Hansen and Jagannathan (1991, the HJ bound) and Gallant, Hansen, and Tauchen (1990, the GHT bound). Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Market structure and pricing JEL Code(s): C, C6, C61, G, G1, G12, G13
The Stochastic Discount Factor: Extending the Volatility Bound and a New Approach to Portfolio Selection with Higher-Order Moments Staff Working Paper 2005-2 Fousseni Chabi-Yo, René Garcia, Eric Renault The authors extend the well-known Hansen and Jagannathan (HJ) volatility bound. HJ characterize the lower bound on the volatility of any admissible stochastic discount factor (SDF) that prices correctly a set of primitive asset returns. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Market structure and pricing JEL Code(s): C, C6, C61, G, G1, G11, G12