TESTING FOR PURCHASING POWER PARITY AND UNCOVERED INTEREST PARITY IN THE PRESENCE OF MONETARY AND EXCHANGE RATE REGIME SHIFTS

Testing for purchasing power parity (PPP) and uncovered interest parity (UIP) has been the focus of many empirically oriented studies. While these simple economic theories of exchange rate and interest rate determination are theoretically attractive, the empirical support for these equilibrium conditions is at best mixed. Many potential reasons have been cited in the literature for the failure of such studies, ranging from market imperfections to inappropriate modelling strategies. The current state‐of‐the‐art procedure involves testing for two cointegrating vectors in a multivariate error correction model which may be economically identified as the PPP and UIP relations. However, such a procedure does not account for policy regime shifts which distort the underlying PPP and UIP relations. In this paper, a Markov‐switching vector error correction model (VECM) is considered for time series data in which monetary and exchange rate regime shifts are known to be present. Weak evidence in favour of PPP and UIP is established in a standard linear VECM, although the residuals of this model indicate that it is inappropriate in terms of functional form. The Markov‐switching VECM, however, provides convincing evidence in favour of both the PPP and UIP relations and a marked improvement in the residual distributions.     

Sign predictions of exchange rate changes: Charts as proxies for Bayesian inferences

Sign Predictions of Exchange Rate Changes: Charts as Proxies for Bayesian Inferences. - One recurrent and controversial feature of high-frequency exchange rate returns is the apparent profitability of simple chartist rules. This paper attests the relevance of these rules for predicting the upward and downward tendencies in speculative prices. First, it is shown by means of a variant to the standard Markov switching model that there are swings in the mean for various weekly exchange rate returns. The paper proceeds by showing that certain chartist rules detect these regime shifts quite accurately. As such, these rules can be interpreted as workable proxies for the Bayesian filtering rule of Hamilton.     

Forecasting the Euro exchange rate using vector error correction models

Forecasting the Euro Exchange Rate Using Vector Error Correction Models. — This paper presents an exchange rate model for the Euro exchange rates of four major currencies, namely the US dollar, the British pound, the Japanese yen and the Swiss franc. The model is based on the monetary approach of exchange rate theory which uses fundamental macroeconomic variables to explain the exchange rate. A crucial point when using such a model is its proper estimation through cointegration analysis. The euro exchange rate model is therefore estimated in the form of a Vector Autoregressive (VAR) model with cointegrating vectors (VECM). We find that when cointegration analysis is undertaken properly, the naive random walk prediction can be out-performed for the US dollar, the British pound and the Japanese yen, but not for the Swiss franc.     

Modelling interest rate volatility: Regime switches and level links

Modelling Interest Rate Volatility: Regime Switches and Level Links.— This paper presents a model encompassing the Markov switching model and the model based on a volatility-level link. This encompassing model allows to test these competing classes of volatility models against each other. If is found that both classes capture essential but different features of the interest rate volatility process. A volatility model incorporating both features, i.e., regime switches and level links, clearly outperforms both alternatives. The consequences of this finding, both for volatility prediction and for the selection of the more appropriate theoretical (continuous time) interest rate model, are discussed.     

国际大宗商品价格冲击、传递效应与中国的通货膨胀动态

本文在Philips曲线设定下,通过扩展该模型实证考察国际大宗商品价格冲击对中国通货膨胀动态的影响作用。本文在线性模型设定以及Markov机制转换设定下考察国际大宗商品价格冲击对中国国内通货膨胀的传递效应。本文实证研究结果表明,国际大宗商品价格动态变化不仅在统计意义上显著地影响着中国通货膨胀动态,而且个别类别的国际大宗商品价格变化对中国通货膨胀动态的传递效应相对明显。最后,结合经验研究结果,本文提供了相关政策建议和启示。     

The case for price level or inflation targeting—What happened to monetary policy effectiveness during the Japanese disinflation?

This paper examines whether price level or inflation targeting would have been appropriate policy choices for Japan during its disinflation and deflation period. We employ Markov switching and structural vector autoregressions, together with structural IS equations, to investigate monetary policy effectiveness during the Japanese disinflation. We find evidence of regime switching in the mid-1990s in a model including the nominal policy interest rate. When monetary policy shocks are identified by using the McCallum rule for monetary base, a monetary expansion is found to have a statistically significant impact on prices. Moreover, a lower real ex ante interest rate can still stimulate the economy despite the zero lower bound on nominal interest rates.     

Stock Markets,Banks and Long Run Economic Growth: A Panel Cointegration-Based Analysis

The aim of this paper is to investigate the long run relationship between the development of banks and stock markets and economic growth. We make use of a Johansen-based panel cointegration methodology allowing for cross-country dependence to test the number of cointegrating vectors among these three variables for 5 developing countries. In addition, we test the direction of potential causality between financial and economic development. Our results conclude to the existence of a single cointegrating vector between financial development and growth and of causality going from financial development to economic growth. We find little evidence of reverse causation as well as bi-directional causality. We interpret this as evidence supporting the significance of financial development for economic development although banks and stock markets may have different effects depending on the level of economic development.     

The trade balance effects of U.S. foreign direct investment in Mexico

This paper examines the effect of U.S. foreign direct investment (FDI) in Mexico on U.S. exports to and imports from Mexico. The rise of intrafirm exports and imports following U.S. FDI in Mexico suggests that FDI affects trade flows. Empirical estimation proceeds with tests for stationarity and cointegration. The finding of cointegration among the variables leads to estimation of the hypothesized relationships with a vector error-correction model. Impulse response functions and variance decomposition reveal that FDI leads to increased exports and imports during the time period considered.     

LONG-RUN M3 DEMAND IN SOUTH AFRICA: A COINTEGRATED VAR MODEL

This paper presents a system cointegration analysis of a long‐run demand for money (measured in terms of M3) in South Africa. In particular, the paper estimates a cointegrated vector autoregression model, consisting of real money, income and the opportunity cost of holding money. Using a variety of theory consistent identification schemes, the money demand function is identified along with other two cointegrating relations, namely, an IS‐type relationship and a relationship relating inflation to the spread between long‐ and short‐term interest rates. The model shows that of the variables used, only income and real money are error‐correcting to the money demand relation. The money demand relation is found to be relatively stable over the sample period, when short‐run fluctuations are corrected for. The model further shows that the long‐run link between money and inflation is rather weak.     

Housing Wealth, Financial Wealth and Consumption in China

The paper investigates the relationship between changes in asset wealth and the trend movements of household consumption in urban China. Using the vector error correction cointegration model we demonstrate that there is a unique long-run cointegrating relationship between household consumption, disposable income, financial wealth and housing wealth in urban China. We find that housing wealth is the only factor that restores the long-run equilibrium relationship when the cointegrated system is disturbed by an external shock. In addition, our permanent-transitory variance decomposition analysis indicates that nearly all variance in the movement of consumption is permanent, supporting the classical random walk hypothesis of consumption behavior. However, a large proportion of variance in the short-run movements of housing wealth is found to be transitory.     

Nonlinear Exchange Rate Pass-Through: The Role of National Debt

This study uses the panel smooth transition regression model with a debt ratio as the transition variable to evaluate the level of exchange rate pass-through. This model can investigate the threshold effect of the debt ratio on the pass-through. To perform the empirical estimation, we choose the 22 Organization for Economic Co-operation and Development member countries during 1994–2013 as sample objects. The empirical results show that the exchange rate pass-through displays a nonlinear and smooth transition process, depending on each period of debt ratio of the export country in different regimes. That is, the pass-through is nonlinear and varies with time and across countries. The larger the debt ratio is, the lower the pass-through would be. The threshold for the pass-through to generate smooth regime switching is 36.62% of debt ratio.     

U.S. petroleum consumption behavior and oil price uncertainty: Tests of cointegration and parameter instability

This study utilizes cointegration theory to correctly characterize U.S. petroleum consumption behavior. Initial estimates show the absence of any long-run, unique relationship among petroleum consumption, real income, and relative prices. However, the introduction of oil price uncertainty into this relationship shows the presence of a cointegrating relationship. Oil price uncertainty was introduced in two ways, namely, as an exogenous I(1) variable and as a regressand. Estimates of the cointegrating relationship are obtained using a variety of techniques such as the Johansen system, the Phillips-Hansen, the Stock-Watson, the Park canonical cointegrating regression, the Phillips spectral, and the Engle-Granger test procedures. Parameter instability of the cointegrating relationship is tested using methods discussed in Hansen [1992] and Hansen and Johansen [1993]. While previous studies in this literature have yielded mixed results on the issue of cointegration and ignored tests for parameter instability of the cointegrated systems, this study has presented new evidence on an empirically stable petroleum oil demand function.     

Dynamic Relationships between Exchange Rates and Foreign Direct Investment: Empirical Evidence from Korea

This paper examines the short‐run and long‐run dynamic relationships between exchange rates and foreign direct investment (FDI) in Korea. Monthly data retrieved from the Bank of Korea from January 1999 to March 2012 are examined. A cointegration test, a vector error correction model, the Wald test and impulse responses techniques are applied to analyze the data. The present study finds that, first, long‐run causation between exchange rates and FDI flows exists, which implies that a change in exchange rates negatively affects FDI flows in the long run. Second, short‐run causation between exchange rates and FDI flows exists, which confirms that there is reciprocal feedback between the two variables. Finally, the study finds evidence of a structural break from the global financial crisis of 2007–2009 shock to FDI flows in Korea. An external shock affects changes in the endogenous variables and, thus, causes instability in the cointegrating vector in the system.     

USING THRESHOLD COINTEGRATION TO EXAMINE ASYMMETRIC PRICE ADJUSTMENTS BETWEEN ADR'S AND THEIR UNDERLYING SECURITIES - THE CASE OF TAIWAN

Many recent studies have focused on the relationship between American Depository Receipts (ADRs) and their foreign underlying stocks, because of the price interaction and arbitrage opportunities provided by the dual listings. The cointegration and its corresponding error correction model employed in some recent studies assume that the tendency to move towards a long‐run equilibrium is present all the time. However, the presence of costs of adjustments may prevent economic agents from adjusting continuously. As an extension of previous studies, this paper applies the threshold cointegration model that allows for asymmetric adjustment towards a long‐run equilibrium to inspect the linkage between Taiwanese ADRs and their underlying shares. By employing the threshold error correction model, the short‐term adjustments also are examined. We find some evidence of asymmetric adjustments in our data. The tests for asymmetries are also implemented with the maximum likelihood estimation for the complete multivariate threshold cointegration model instead of the univariate model.     

Inflation and Market Uncertainty in South Africa

Comparison of the movements in the VIX index, the rand – dollar exchange rate and South African CPI inflation reveals a striking resemblance between them, raising the question as to whether or not there is an empirical relationship among them. The aim of this paper is to determine whether or not changes in market uncertainty, as reflected in the VIX index, influence South African inflation. Given that the VIX index reflects market uncertainty, its impact on the inflation rate may differ between times of heightened uncertainty and normality, thus suggesting the presence of multiple regimes. To cater for this possibility, the analysis first uses the general‐to‐specific procedure (including squared and cubed values of dependent and independent variables) with impulse indicator saturation dummies to look for non‐linear behaviour in the form of statistically significant squared and cubed variables and clustered periods of outlier dummies that might reflect an alternative regime. Finding such periods, the analysis next uses a Markov‐switching model to model this non‐linear behaviour explicitly. The results show that market volatility as measured by the VIX indeed explains South African inflation. Moreover, as shown by the second regime of the Markov‐switching model, when market volatility is elevated, its influence on inflation also increases.     

Business cycle transmission and interdependence between Japan and Australia

This paper investigates business cycle transmission and interdependence between Australia and Japan over the period 1961.1–1994.4. Vector autoregression (VAR) and vector error correction (VEC) models were constructed utilizing GDP/GNPs, producer prices, interest rates and money supplies. The model is tested for cointegration. Two cointegrating vectors are found, and a vector error correction (VEC) model is estimated. The coefficients and the F-tests of the VEC are used to measure the effect of one economy upon the other. Impulse responses from a VAR are examined for evidence of business cycle transmission, and recursive least squares estimates are used to check for structural change in the relationship. Figures are used to graphically demonstrate these relationships and have been collected in an appendix, which can be found at the end of the text.While the two countries engage in a close trading relationship, the two economies are found to be only somewhat interdependent in macroeconometric terms. Japan is found to transmit some of its business cycle fluctuations to Australia, but there is little reverse transmission.     

Dynamic forecasting of sticky-price monetary exchange rate model

The Dornbusch-Frankel monetary model is used to estimate the out-of-sample forecasting performance for the U.S. or Canadian dollar exchange rate. By using Johansen's multivariate cointegration, up to three cointegrating vectors were found between the exchange rate and macroeconomic fundamentals. This means that there is a long-run relationship between exchange rate and economic fundamentals. Based on error-correction models, the random-walk model outperforms the Dornbusch-Frankel model at every forecasting horizon. The random-walk model also dominates the Dornbusch-Frankel model with the modified money demand function at every forecasting horizon except one month. However, this paper shows that the share price variable can improve the accuracy of forecasts of exchange rates at short-run horizons.     

The stock market and the ringgit exchange rate: a note

This paper presents and tests an augmented monetary model that includes the effect of stock prices on the bilateral exchange rates. The model is applied to the ringgit/US dollar (RM/US) and ringgit/Japanese yen (RM/JY) exchange rates. The empirical analysis is conducted by the Johansen method of cointegration. Using the data from the recent float that ends with 1996:Q4, the study is motivated, among others, by an interesting preliminary finding that although the augmented monetary model is cointegrated, it is subject to parameter instability and that the parameter time dependency can be attributed at least partly to a particular subset of the variables in the system including stock prices. We find that a restricted VAR model which imposes exogeneity restrictions on I(1) variables, such as stock prices, among others, exhibits both cointegration and parameter stability. In addition, we demonstrate that exchange rate adjusts to clear any disequilibrium in the long-run relationship. The empirical findings tend to suggest that the equity market is significant in affecting the exchange rate and in explaining at least in part the parameter instability evidenced in the cointegrating system. Hence, we conclude that models of equilibrium exchange rate should be extended to include equity markets in addition to bond markets.     

The Importance of the Exchange Rate Regime in Limiting Misalignment

This paper explores how the choice of a country’s exchange rate regime may affect exchange rate misalignment for developing and developed countries. A measure of misalignment is obtained by using a panel cointegration vector estimator. This paper finds that for developing countries, an intermediate exchange rate regime (a regime falling somewhere between a pure float and a hard peg) is most effective in preventing exchange rate misalignment. Additionally, the choice of an exchange rate regime as a means to limit misalignment matters for developing countries, but does not seem to matter for developed countries.     

The Power of Cointegration Tests Versus Data Frequency and Time Spans

Using Monte Carlo methods, this study illustrates the potential benefits of using high frequency data series to conduct cointegration analysis. The study also provides an account of why the results are different from those reported by Hakkio and Rush (1991). The simulation results show that when the studies are restricted by relatively short time spans of 30 to 50 years, increasing data frequency may yield considerable power gain and less size distortion, especially when the cointegrating residual is not nearly nonstationary, and/or when the models with nonzero lag orders are required for testing cointegration. The study may help clarify some misconceptions and misinterpretations surrounding the role of data frequency and sample size in cointegration analysis.