Quantile regression has important applications in risk management, portfolio optimization, and asset pricing. The current paper studies estimation, inference and …nancial applications of quantile regression with cointegrated time series. In addition, a new cointegration model with varying coe¢ cients is proposed. In the proposed model, the value of cointegrating coe¢ cients may be a¤ected by th...

In recent research, Leybourne and Newbold (2003) have shown commonly employed tests of cointegration to exhibit spurious rejection when applied to independent unit root processes subject to breaks in either level or trend. In the present paper, this research is extended to consider the finite-sample properties of cointegration tests which explicitly incorporate structural change. It is shown th...

This paper applies conventional tests (Johansen, 1995) and new tests (Chao and Phillips,1999) for cointegration to long{run money demand functions using Canadian data from 1872 to 1997. If cointegration is found, recently proposed tests by Quintos (1997) for stability of the cointegration rank are carried out. The paper focuses on two spans of data: one span starting in 1872, the other in 1957 ...

The error correction model is generally thought to be isomorphic to integrated data and the modeling of cointegrated processes, and as such, is considered inappropriate for stationary data. Given that many political time series are not integrated, analysts are unable to take advantages of the error correction model’s ability to capture both long and short-term dynamics in a single statistical m...

This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets might be efficient) or alternatively I(d) with d < 1, which implies mean reversion. The multivariate framework exploiting recent developments in fr...

Using data from Germany, Japan, UK, and the U.S., we explore possible threshold cointegration in nominal shortand long-run interest rates with corresponding inflation rates. Traditional cointegration implies perfect mean reversion in real rates and hence confirms the Fisher hypothesis. Threshold cointegration accounts for the possibility that this mean reversion is active only conditional on ce...

The main purpose of this paper is to discern the dynamic causal relationships (in the Granger (temporal) sense) among sales, advertising and prices in the context of the Portuguese car market. The present research (based on multiple cointegration tests preceded by various unit root or non-stationarity tests) is one of the first attempts at putting the salesmarketing mix analysis within a multiv...

Structural VARs have been extensively used in empirical macroeconomics during the last two decades, particularly in analyses of monetary policy. Existing Bayesian procedures for structural VARs are at best confined to a severly limited handling of cointegration restrictions. This paper extends the Bayesian analysis of structural VARs to cover cointegrated processes with an arbitrary number of c...