Fuchun Li - Latest

• A Consistent Test for Multivariate Conditional Distributions

  Staff Working Paper 2009-34 Fuchun Li, Greg Tkacz

  We propose a new test for a multivariate parametric conditional distribution of a vector of variables y_t given a conditional vector x_t.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C2, C22

• Testing for Financial Contagion with Applications to the Canadian Banking System

  Staff Working Paper 2009-14 Fuchun Li

  The author proposes a new test for financial contagion based on a non-parametric measure of the cross-market correlation. The test does not depend on the assumption that the data are drawn from a given probability distribution; therefore, it allows for maximal flexibility in fitting into the data.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C12, G, G0, G01, G1, G15

• Linking Real Activity and Financial Markets: The Bonds, Equity, and Money (BEAM) Model

  Staff Working Paper 2006-42 Céline Gauthier, Fuchun Li

  The authors estimate a small monthly macroeconometric model (BEAM, for bonds, equity, and money) of the Canadian economy built around three cointegrating relationships linking financial and real variables over the 1975–2002 period.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Financial stability JEL Code(s): C, C5, E, E4

• Testing the Parametric Specification of the Diffusion Function in a Diffusion Process

  Staff Working Paper 2005-35 Fuchun Li

  A new consistent test is proposed for the parametric specification of the diffusion function in a diffusion process without any restrictions on the functional form of the drift function.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates JEL Code(s): C, C1, C12, C14

• A Consistent Bootstrap Test for Conditional Density Functions with Time-Dependent Data

  Staff Working Paper 2001-21 Fuchun Li, Greg Tkacz

  This paper describes a new test for evaluating conditional density functions that remains valid when the data are time-dependent and that is therefore applicable to forecasting problems. We show that the test statistic is asymptotically distributed standard normal under the null hypothesis, and diverges to infinity when the null hypothesis is false.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C15, E, E3, E37

• Evaluating Linear and Non-Linear Time-Varying Forecast-Combination Methods

  Staff Working Paper 2001-12 Fuchun Li, Greg Tkacz

  This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C53, E, E2, E27

• Pricing Interest Rate Derivatives in a Non-Parametric Two-Factor Term-Structure Model

  Staff Working Paper 1999-19 John Knight, Fuchun Li, Mingwei Yuan

  Diffusion functions in term-structure models are measures of uncertainty about future price movements and are directly related to the risk associated with holding financial securities. Correct specification of diffusion functions is crucial in pricing options and other derivative securities. In contrast to the standard parametric two-factor models, we propose a non-parametric two-factor term-structure model that […]

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Market structure and pricing JEL Code(s): C, C1, C14, C2, C22, G, G1, G13