This paper proposes new iterative reduced-rank regression procedures for seasonal cointegration analysis. The suggested methods are motivated by the idea that modelling jointly the cointegration restrictions at the different frequencies may induce some efficiency gain in finite samples. Monte Carlo simulations indicate that the new tests and estimators perform well with respect to already exist...

In this study, we assess the dynamic evolution of short-term correlation, long-term cointegration and Error Correction Model (hereafter referred to as ECM)-based long-term Granger causality between each pair of US, UK, and Eurozone stock markets from 1980 to 2015 using the rolling-window technique. A comparative analysis of pairwise dynamic integration and causality of stock markets, measured i...

Contents Abstract Keywords 1. Introduction 2. Preliminaries and stylized facts 3. Theoretical models 4. F r o m theory to empirical analysis 4.1. The neoclassical model: one capital good, exogenous technical progress 4.2. The neoclassical model: multiple capital goods 4.3. Endogenous growth: asymptotically linear technology 4.4. Nonconvexities and poverty traps 4.5. Endogenous growth: R&D and e...

The likelihood ratio test of cointegration rank is the most widely used test for cointegration. Many studies have shown by simulation that the small sample distribution is not well approximated by the limiting distribution. We suggest using the bootstrap to generate small sample critical values instead of correcting the test statistics. The idea of bootstrapping the trace test of cointegration ...

We propose a new transaction-level bivariate log-price model, which yields fractional or standard cointegration. To the best of our knowledge, all existing models for cointegration require the choice of a fixed sampling interval ∆t. By contrast, our proposed model is constructed at the transaction level, thus determining the properties of returns at all sampling frequencies. The two ingredients...