Evidence in favor of the monetary model of exchange rate determination for the South African Rand is, at best, mixed. A co-integrating relationship between the nominal exchange rate and monetary fundamentals forms the basis of the monetary model. With the econometric literature suggesting that...

This study investigates the impact of the real exchange rate on the non-oil exports of the Republic of Azerbaijan in the framework of cointegration and an asymmetric error correction. Threshold and Momentum Threshold Autoregressive methods are applied over the quarterly period 2000Q1-2010Q4. The...

Various empirical specifications of the permanent income model are investigated using Canadian aggregate data. Tests for structural changes with known and unknown change point are applied to the models estimated by the generalized method of moments. The proportion of current income individuals...

This paper proposes a new time-deformation model for stock returns sampled in transaction time and directed by a generalized duration process. Stochastic volatility in this model is driven by an observed duration process and a latent autoregressive process. Parameter estimation in the model is...

This paper estimates and tests several versions of the consumption-based asset pricing model extended to allow for time-nonseparable preferences and/or liquidity constraint proxies, using Canadian aggregate data. It is found that a habit-persistence effect uncovered in the time-nonseparable...

Availability of high frequency data has improved the capability of computing volatility in an efficient way. Nevertheless, measuring volatility/covariance from the observation of the asset price is challenging for two main reasons: observed asset prices are generally affected by noise...

We propose a multiplicative dynamic factor structure for the conditional modelling of the variances of an N-dimensional vector of financial returns. We identify common and idiosyncratic conditional volatility factors. The econometric framework is based on an observation-driven time series model...

We propose a jump robust positive semidefinite rank-based estimator for the daily covariance matrix based on high-frequency intraday returns. It disentangles covariance estimation into variance and correlation components. This allows to estimate correlations over lower sampling frequencies, to...

We investigate the link between macroeconomic uncertainty and business cycle asymmetry of the U.S. economy. To this end, we propose an unobserved component model in which the shocks are asymmetrically distributed, and the degree of asymmetry varies with macroeconomic uncertainty. An efficient...

We study a bivariate latent factor model for the pricing of commodity fu- tures. The two unobservable state variables representing the short and long term fac- tors are modelled as Ornstein-Uhlenbeck (OU) processes. The Kalman Filter (KF) algorithm has been implemented to estimate the...