This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...

The importance of the common features in macroeconomics particularly in real business cycle studies is by now widely understood and manifests itself in numerous studies. On the other hand, there has been very few works related to developing countries. This paper attempts to fill this gap, at...

We study the intranational purchasing power parity (PPP) between 17 pairs of Canadian cities for the period 1984–2010, using multivariate tests of threshold cointegration in a threshold vector error correction model. Our results confirm the existence of cointegration with threshold symmetric...

This paper presents a dynamic portfolio credit model following the regulatory framework, using macroeconomic and latent risk factors to predict the aggregate loan portfolio loss in a banking system. The latent risk factors have three levels: global across the entire banking system,...

This paper investigates the relationship between trading volume and price volatility in the crude oil and natural gas futures markets when using high-frequency data. By regressing various realized volatility measures (with/without jumps) on trading volume and trading frequency, our results...

This paper investigates the extent to which modern DSGE models, which feature local currency pricing, home bias, nontraded goods, and incomplete markets, can generate nonlinear real exchange rate dynamics that are consistent with those found in the time series literature using data from the...

In this paper we discuss the calibration issues of power models built on mean-reverting processes combined with long memory. The unknown parameters of fractional mean-reversion processes are estimated by a hybrid estimation method, which is built upon the marriage of the quadratic variation and...

Standard VAR and Bayesian VAR models are proven to be reliable tools for modeling and forecasting, yet they are still linear and they do not consider time-variation in parameters. VAR modeling is subject to the Lucas critique and fails to take into account the inherent nonlinearities of the...

This paper considers a multivariate extension of the test for neglected nonlinearity proposed by Tsay (1986) that uses principal components to overcome the problem of dimensionality that is common with tests of this type. Monte Carlo experiments reveal that the modified multivariate test...

Uncertainty about length of life, longevity risk, is a growing financial problem for pension funds and annuity providers. They would like to transfer longevity risk away to institutions better placed to deal with it. Unfortunately, there is a lack of financial instruments to hedge against this...