C14 - Semiparametric and Nonparametric Methods: General

• Bootstrap Tests of Mean-Variance Efficiency with Multiple Portfolio Groupings

  Staff Working Paper 2014-51 Sermin Gungor, Richard Luger

  We propose double bootstrap methods to test the mean-variance efficiency hypothesis when multiple portfolio groupings of the test assets are considered jointly rather than individually.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C14, C15, G, G1, G12

• Predicting Financial Stress Events: A Signal Extraction Approach

  Staff Working Paper 2014-37 Ian Christensen, Fuchun Li

  The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit an unusual behaviour in the periods preceding a financial stress event.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C14, C4, E, E3, E37, E4, E47, F, F3, F36, F37, G, G0, G01, G1, G17

• Sheep in Wolf’s Clothing: Using the Least Squares Criterion for Quantile Estimation

  Staff Working Paper 2014-24 Heng Chen

  Estimation of the quantile model, especially with a large data set, can be computationally burdensome. This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C13, C14, C2, C21