Showing papers on "Cointegration published in 1997"

Structural analysis of vector error correction models with exogenous I(1) variables (first version)

Abstract: This paper generalizes the existing cointegration analysis literature in two respects. Firstly, the problem of efficient estimation of vector error correction models containing exogenous (1) variables is examined. The asymptotic distributions of the (log-)likelihood ratio statistics for testing cointegrating rank are derived under different intercept and trend specifications and their respective critical values are tabulated. Tests for the presence of an interceptor linear trend in the cointegrating relations are also developed together with model misspecification tests. Secondly, efficient estimation of vector error correction models when the short-run dynamics may differ within and between equations is considered. A re-examination of the purchasing power parity and the uncovered interest rate parity hypotheses is conducted using U.K. data under the maintained assumption of exogenously given foreign and oil prices.

Exports and Economic Growth

Abstract: Uutilizing unit root and cointegration techniques, we find out of 96 countries only 8 show unidirectional or bidirectional causality from exports to GDP with positive relationship between the two variables. Causality from GDP to Exports with positive relationship between the two variables is found for only 9 countries.

International Stock Market Efficiency and Integration: A Study of Eighteen Nations

Abstract: This study examines the relationships among stock prices in eighteen national stock markets by using unit root and cointegration tests for the period 1961--92 All the markets were analyzed individually and collectively in regions to test for market efficiency The results from unit root tests suggest that the world equity markets are weak-form efficient The cointegration test results show that there are only a small number of significant cointegrating vectors over the last three decades However, the number of significant cointegrating vectors increases after the October 1987 stock market crash, a result that is consistent with the contagion effect

Exports, export composition and growth : cointegration and causality evidence for Malaysia

Abstract: This paper comprehensively tests the export-led growth (ELG) hypothesis for Malaysia for the period 1955 - 90, using cointegration and causality testing based on Hsiao's synthesis of the Granger test and Akaike's minimum final prediction error criterion. The results provide support for the ELG hypothesis; aggregate exports Granger-cause real GDP and non-export GDP. This relationship is found to be driven by manufactured exports rather than by traditional exports.

Time-Series Estimation of Structural Import Demand Equations: A Cross-Country Analysis

Abstract: This paper derives a structural import demand equation and estimates it for a large number of countries, using recent time series techniques that address the problem of nonstationarity. Because the statistical properties of the different estimators have been derived only asymptotically, econometric theory does not offer any guidance when it comes to comparing different estimators in small samples. Consequently, the paper derives the small-sample properties of both the ordinary-least-squares (OLS) and the fully-modified (FM) estimators using Monte Carlo methods. It is shown that FM dominates OLS for both the short- and long-run elasticities.

Neural networks in financial engineering: a study in methodology

Abstract: Neural networks have shown considerable successes in modeling financial data series. However, a major weakness of neural modeling is the lack of established procedures for performing tests for misspecified models, and tests of statistical significance for the various parameters that have been estimated. This is a serious disadvantage in applications where there is a strong culture for testing not only the predictive power of a model or the sensitivity of the dependent variable to changes in the inputs but also the statistical significance of the finding at a specified level of confidence. Rarely is this more important than in the case of financial engineering, where the data generating processes are dominantly stochastic and only partially deterministic. Partly a tutorial, partly a review, this paper describes a collection of typical applications in options pricing, cointegration, the term structure of interest rates and models of investor behavior which highlight these weaknesses and propose and evaluate a number of solutions. We describe a number of alternative ways to deal with the problem of variable selection, show how to use model misspecification tests, we deploy a novel way based on cointegration to deal with the problem of nonstationarity, and generally describe approaches to predictive neural modeling which are more in tune with the requirements for modeling financial data series.

Time series models : in econometrics, finance and other fields

Abstract: Statistical Aspects of ARCH and Scholastic Volatility Likelihood-Based Inference for Cointegration of Some Non-Stationary Time Series Forecasting in Macroeconomics Longitudinal Panel Data: An Overview of Current Methodology

Using Nonlinear Tests to Examine Integration Between Real Estate and Stock Markets

Abstract: An alternative approach to test whether the real estate and stock markets are cointegrated is presented. A nonlinear test, which allows for a stochastic trend term as opposed to a deterministic drift term, is developed. The results of the nonlinear model are compared to the results obtained using conventional cointegration tests. The cointegration results support the view that the real estate and stock markets are segmented, whereas the nonlinear model supports the view that the markets are fractionally integrated. There is a nonlinear relationship between the stock and real estate markets, but movement of the real estate market towards the stock market is slow and divergence between the two markets can be prolonged.

Modelling Regional House Prices in the UK

Abstract: Maximum likelihood cointegration methods are used to analyse the determinants of house prices in each of the eleven regions of the UK. Broad similarities in the structure of house price equations are found across regions in England and Wales (but not Scotland or Northern Ireland), indicating that the source of differences in English and Welsh regional house prices should probably be sought in different regional incomes, opportunity costs, and housing starts. Tests of spatial dependence in regional house prices cast doubt on the well-known ‘ripple effect’ hypothesis.

Testing market equilibrium: is cointegration informative?

Abstract: Cointegration methods are increasingly used to test for market efficiency and integration. The economic rationale for these tests, however, is generally unclear. Using a simple spatial equilibrium model to simulate equilibrium price behavior, it is shown that prices in a well-integrated, efficient market need not be cointegrated. Furthermore, the number of cointegrating relationships among prices is not a good indicator of the degree to which a market is integrated.

Cointegration and dynamic simultaneous equations model

Abstract: We demonstrate that despite variables that are integrated, the fundamental issues on structural equation modeling raised by the Cowles Commission remain valid and standard estimation and testing procedures can still be applied. A basic framework linking the multiple time series model and the dynamic simultaneous equation model is provided and implications under the long-run cointegrating relations are discussed. Conditions for identifying both the short-run dynamics and long-run equilibrium conditions are given. Limiting properties of the least squares and simultaneous equation estimators under cointegration are derived. Implications for hypothesis testing are also discussed.

Macroeconomic variables and stock prices in a small open economy: The case of Singapore

Abstract: Using a subset of macroeconomic variables (narrow and broad money supply, nominal exchange rates and foreign currency reserves), that are especially pertinent in the context of a small open economy, this paper tests for the presence of informational inefficiencies in the Singapore stock market The paper uses the techniques of cointegration and causality together with forecasting equations to test for informational inefficiencies in both the long and short run respectively The results indicate that three of the four macro variables are cointegrated with stock prices, suggesting potential inefficiencies in the long run The causality tests and forecasting equations provide conflicting evidence on the informational efficiency of the stock market in the short run Finally, the implications of these findings at both the macro and micro level are discussed

An empirical investigation of the causal relationship between openness and economic growth in China

Abstract: This study investigates the causal relationship between openness and economic growth in China. The integration and cointegration properties of the data are analysed and the models of Granger, Sims, Geweke and Hsiao are used to identify a bi-directional causal relationship between GNP and exports plus imports. This bi-directional causation is consistent with China's development strategy of protected export promotion

A comparative analysis of the propagation of stock market fluctuations in alternative models of dynamic causal linkages

Abstract: The patterns of dynamic linkages are examined among national stock prices of four Asian Newly Industrializing Countries stock markets - Taiwan, South Korea, Singapore and Hong Kong - in models incorporating the established markets of Japan, USA, UK and Germany. Recent time-series techniques are employed, including unit root testing, multivariate cointegration, vector error-correction modelling (VECM), forecast error variance decomposition (VDC) and impulse response functions (IRFs). The results consistently appear to suggest the relatively leading role of all established markets in driving fluctuations in the NIC stock markets. In other words, all established markets and Hong Kong, consistently were the initial receptors of exogenous shocks to the (long-term) equilibrium relationships and the other NIC markets, particularly the Singaporean and Taiwanese markets had to bear most of the burden of short-run adjustment to re-establish the long-term equilibrium relationship. In comparison to all other NIC mark...

Time Series and Dynamic Models

Abstract: In this book Christian Gourieroux and Alain Monfort provide an up-to-date and comprehensive analysis of modern time series econometrics. They have succeeded in synthesising in an organised and integrated way a broad and diverse literature. While the book does not assume a deep knowledge of economics, one of its most attractive features is the close attention it pays to economic models and phenomena throughout. The coverage represents a major reference tool for graduate students, researchers and applied economists. The book is divided into four sections. Section one gives a detailed treatment of classical seasonal adjustment or smoothing methods. Section two provides a thorough coverage of various mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks, multipliers, cointegration and fractionally integrated models. The final section describes the main contribution of filtering and smoothing theory to time series econometric problems.

Testing for food market integration revisited

Abstract: This article considers the statistical performance of four commonly used econometric tests for market integration: the Law of One Price, the Ravallion Model, cointegration and Granger causality. A spatial price equilibrium (SPE) model, that is subject to both production shocks and general price inflation, and mimics many of the key characteristics of integrated food markets, is constructed. The model is used to generate food price time series of lengths that are typical of the short sample sizes available in most developing countries, for both instantaneously integrated and independent markets. A series of Monte Carlo experiments on these artificial food price time series are performed, which show that all four of the conventional tests for market integration are statistically flawed.

Cointegration and Long-Horizon Forecasting

Abstract: We consider the forecasting of cointegrated variables, and we show that at long horizons" nothing is lost by ignoring cointegration when forecasts are evaluated using standard multivariate" forecast accuracy measures. In fact, simple univariate Box-Jenkins forecasts are just as accurate. " Our results highlight a potentially important deficiency of standard forecast accuracy" measures they fail to value the maintenance of cointegrating relationships among" variables and we suggest alternatives that explicitly do so.

Determinants of the real exchange rate in South Africa

Abstract: The real exchange rate is a key policy variable in South Africa’s open economy. A cointegration framework is used with single equation equilibrium correction models to investigate the short-run and long-run equilibrium determinants of the quarterly real exchange rate, 1970:1–1995:1. The cointegrated equilibrium is obtained from a theoretical model characterising equilibrium as the achievement of internal and external balance for sustainable capital flows and trade and tax regimes, and given terms of trade and technology. For a spectrum of exchange rate regimes, we discuss the evolution of a broad range of theoretical economic fundamentals and short-run policy factors.

Sectoral Productivity, Government Spending and Real Exchange Rates: Empirical Evidence for OECD Countries

Abstract: This paper investigates the long- and short-run determinants of the real exchange rate using a panel of data for fourteen OECD countries. The data are analyzed using time series and panel unit root and panel cointegration methods. Two dynamic productivity-based models are used to motivate the empirical exercise. The candidate determinants include productivity levels in the traded and in the nontraded sectors, government spending, the terms of trade, income per capita, and the real price of oil. The empirical results indicate that it is easier to detect cointegration in panel data than in the available time series; moreover, the estimate of the rate of reversion to a cointegrating vector defined by real exchange rates and sectoral productivity differentials is estimated with greater precision as long as homogeneity of parameters is imposed upon the panel. It is more difficult to find evidence for cointegration when allowing for heterogeneity across currencies. The most empirically successful model of the real exchange rate includes sectoral productivity measures in the long run relation and government spending in the short run dynamics.

Analyzing the sustainability of fiscal deficitsin developing countries

Abstract: The author surveys the recent literature on the sustainability of fiscal deficits, most of which focuses on the United States and other industrial countries, to see how useful it might be in developing countries. The accounting approach to analysis focuses on steady states and assumes that a fiscal deficit (or surplus) that leads to unchanging debt/GDP ratios over time is sustainable. The data required to apply this approach are relatively modest. The present-value constraint (PVC) approach assumes that the sustainability of fiscal policy depends ultimately on what level of fiscal deficit is financeable, which depends in turn on the behavior of lenders. Recent empirical implementations of this approach concentrate on methods for testing whether maintaining current fiscal policy (as captured by historical time series on government spending, revenue, and debt) violates the present-value-constraint or, equivalently, the no-Ponzi-game (NPG) condition. The econometric methods used in this literature (such as tests for the prsence of unit roots and cointegration) require long-time series over a constant fiscal regime, requirements that may be unrealistic in many countries. Typically, analyzing the sustainability of deficits in developing countries involves issues that are not particularly important in industrialized countries. Developing countries rely far more on seignorage to finance deficits, although the degree of that reliance varies greatly among countries; the simultaneous presence of both domestic and foreign-currency borrowing is central in a growing number of developing countries; and concessional lending and grants may also be an important part of fiscal finance. The author generalizes the PVC approach to economies that use money-financing of deficits, economies for which concessional financing is available, and economies that incur both domestic and foreign debt. He proposes a possible compromise in approaches: rather than use time series techniques to describe constant fiscal regimes, one can specify fiscal rules into the foreseeable future based on country-specific information about fiscal targets (perhaps as stated in IMF stabilization programs). Then one can calculate the implied time path for domestic and foreign debt, given current debt levels as initial conditions. Using this hypothesized time path for debt, one can ask whether it satisfies the no-Ponzi-game condition. If it does, fiscal policy is -by this definition- sustainable. If the NPG condition is violated, fiscal policy is unsustainable.