Does Economic Policy Uncertainty Affect Exchange Rate in China and Japan? Evidence from Threshold Cointegration with Asymmetric Adjustment

In this article, we estimate the links between nominal exchange rates (JPY/USD and CNY/USD) and economic policy uncertainty (EPU) in China and Japan by employing monthly data during the period span from January 1997 to September 2020. The threshold cointegration approach focus in TAR, M-TAR, C-TAR and C-MTAR is used. Results indicate the evidence of asymmetric effect in the adjustment process to equilibrium and the M-TAR is the best model to detect threshold effect for the (CNY/USD-CNYEPU) pair and the C-TAR is the best model to detect threshold effect for the (JPY/USD-JPYEPU) pair.

Threshold Cointegration Approach for Assessing the Impact of US Economic Policy Uncertainty on Monetary Policy Decision of African Countries

This study uses threshold cointegration technique to ascertain the relationship between United States (US) economic policy uncertainty (EPU) and monetary policy rate (MPR) of each of the four African countries, namely Egypt, Ghana, Namibia and South Africa using monthly data from March 1998 to April 2020. The impact of US EPU on MPR of each country is assessed by examining the linear cointegration, asymmetric cointegration and causal relationships in the frequency domain between the US EPU and MPR of each African country. The findings provide evidence of long-run threshold cointegration and the adjustment mechanisms towards long-run equilibrium are asymmetric in the short run for the MPR models for Ghana, Namibia and South Africa in the M-TAR specification except for Egypt’s MPR model which does not provide evidence of asymmetric adjustment towards the equilibrium position. The bivariate analysis performed in the spectral frequency domain suggests unidirectional causality between US EPU and MPR of each country and that, the US EPU influences the MPR of each country in the long run. The findings provide important guidelines to monetary policy reviewers to take policy stance that would stimulate economic growth amid US policy uncertainties.

Investigating the Impact of Trade Disruptions on Price Transmission in Commodity Markets: An Application of Threshold Cointegration

Threshold cointegration is introduced as an econometric technique to model the impact of trade disruptions on spatial price transmission in commodity markets so that market participants and policy makers can understand the global impact of trade disruptions on prices. The threshold cointegration technique that is employed is flexible in that it allows the number of thresholds and their location to be determined endogenously and the threshold variable to be exogenous to the system. We innovate on the threshold cointegration technique by selecting a measure of trade disruptions as the threshold variable. This innovation can be used for any commodity market that is spatially connected due to arbitrage; however, to illustrate its usefulness we apply the technique to trade disruptions for canola traded between Canada and China using weekly data between 2014 and 2019 and find that canola trade disruptions between Canada and China impacted global price transmission and resulted in market fragmentation.

Time-varying threshold cointegration with an application to the Fisher hypothesis

This paper extends the threshold cointegration model developed by Gonzalo, J., and J. Y. Pitarakis. 2006. “Threshold Effects in Cointegrating Relationships.” Oxford Bulletin of Economics & Statistics 68: 813–33 and Chen, H. 2015. “Robust Estimation and Inference for Threshold Models with Integrated Regressors.” Econometric Theory 31 (4): 778–810 to allow for a time-varying threshold, which is a function of candidate variables that affect the separation of regimes. We derive the asymptotic distribution of the proposed least-square estimator of the threshold, and study the convergence rate of the threshold estimator. We also suggest test statistics for threshold effect and threshold constancy. Monte Carlo simulations point out that the convergence rate of the threshold estimator is consistent with the asymptotic theory, and the proposed tests have good size and power properties. The empirical usefulness of the proposed model is illustrated by an application to the US data to investigate the Fisher hypothesis.

Economic Policy Uncertainty Linkages among Asian Countries: Evidence from Threshold Cointegration Approach

This paper employs the threshold cointegration methodology to assess the long- and short-run dynamics of asymmetric adjustment between economic policy uncertainty (EPU) of China-India, China-Japan, China-Korea, India-Japan, India-Korea, and Japan-Korea pairs using monthly EPU data ranging from January 1997 to April 2020. The relationship between the EPU pairs is examined in terms of Engle-Granger and threshold cointegrations. The findings provide evidence of long-run threshold cointegration and that the adjustments towards the long-run equilibrium position are asymmetric in the short run for the China-India and India-Japan EPU pairs in M-TAR specification with nonzero threshold values. Also, the results suggest a unidirectional causal relationship between China-India, China-Japan, and India-Korea EPU pairs in the long and short run using the spectral frequency domain causality approach. However, a bidirectional causal relationship between China-Korea, India-Japan, and Japan-Korea pairs exists in the long and short run. Therefore, the findings provide some clues to economic policymakers within the Asian subregion for possible policy uncertainty synergies and spillovers among the Asian countries.