The US-China trade war with increasing trade policy uncertainty

2020 ◽  
Vol 13 (2) ◽  
pp. 87-94
Author(s):  
Serdar Ongan ◽  
Ismet Gocer
Keyword(s):  
Trade Policy ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Policy Uncertainty ◽  
Content Type ◽  
Long Run ◽  
Bilateral Trade Balance ◽  
The Us ◽  
Short Run ◽  
Trade Policy Uncertainty

Purpose This study aims to examine the impacts of changing US trade policy uncertainty (henceforth, TPU Index) on US bilateral trade balance with China from a nonlinear methodology perspective. Design/methodology/approach The nonlinear auto regressive distributed lag (ARDL) model, recently developed by Shin et al. (2014), is applied. This model decomposes the TPU Index series into its increases (TPU+) and decreases (TPU−) and creates two new TPU Index series. Findings Empirical findings indicate that increases in the TPU Index improve the US bilateral trade balance only in the short-run (no long-run impact). However, decreases in the TPU Index worsen the US trade balance in the short run but improve it in the long run. Apart from these effects detected on US–China bilateral trade balances, this empirical study draws the conclusion that changing trade policy uncertainty plays a significant determining role for bilateral trade volumes. Originality/value Decomposed TPU index with the nonlinear ARDL model enables us to examine the separate impacts of the changes in TPU+ and TPU− indexes on US bilateral trade balance with China. Therefore, this model may discover potentially concealed-hidden true impacts of TPU index on US bilateral trade balance with this country.

scholarly journals FENOMENA KURVA J PADA NERACA PERDAGANGAN INDONESIA DENGAN ENAM NEGARA MITRA DAGANG UTAMA

2018 ◽  
Vol 1 (2) ◽  
pp. 10
Author(s):  
Anggraeni Tri Hapsari ◽  
Akhmad Syakir Kurnia
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Long Run ◽  
J Curve ◽  
Bilateral Trade Balance ◽  
Trading Partners ◽  
Short Run ◽  
Balance Of Trade ◽  
The Exchange Rate

Whether a J curve phenomenon exists or not on the balance of trade has been an interest for empirical investigation in international economics. The phenomenon is typically associated with the response of the balance of trade to the exchange rate dynamics. Since a country has different trade features with different trading partners, the trade balances adjustment to the exchange rate dynamics should be seen as a head to head phenomenon. This paper investigates the effect of real effective exchange rate (REER) on the bilateral trade balance between Indonesia and its six major trading partners, namely Japan, China, Singapore, United States, South Korea and India on a quarterly basis over the period 1995.1 to 2013.4. The short run and the long run effect of the REER on the balance of trade is expected to be captured using error correction model (ECM) and vector error correction model (VECM). Subsequently, impulse response function is used to trace out the behavior of the bilateral trade balance in response to the REER shock whereas forecast error variance decomposition (FEVD) is used to decay the effect of innovation variables in the system. The result indicates that in the long run a J curve phenomenon appears on the bilateral trade balance between Indonesia and Japan, China, Singapore as well as South Korea. In the short run, a J curve phenomenon is seen on the bilateral trade balance between Indonesia and China as well as Singapore. This confirms that a J curve is a head to head phenomenon that has correlation with the trade features. Thus, the correction mechanism to the trade balance in response to the exchange rate shock (i.e. exchange rate market intervention) should count trade features as a consideration

scholarly journals The US-China Bilateral Trade Balance: Its Size and Determinants

10.3386/w6598 ◽  
1998 ◽  
Author(s):  
Robert Feenstra ◽  
Wen Hai ◽  
Wing Woo ◽  
Shunli Yao
Keyword(s):  
Trade Balance ◽  
Bilateral Trade ◽  
Bilateral Trade Balance ◽  
The Us

scholarly journals The long run relationship between fish production, marine trade balance and foreign direct investment

2020 ◽  
Vol 5 (3) ◽  
pp. 271-280
Author(s):  
Naseem H. Jamei ◽  
Mira Nurmakhanova ◽  
Shahbaz Mustafa ◽  
Alloysius Egbulonu ◽  
Wagdi Hadidan
Keyword(s):  
Foreign Direct Investment ◽  
Trade Balance ◽  
Direct Investment ◽  
Design Methodology ◽  
Fish Production ◽  
Content Type ◽  
Gulf Countries ◽  
Long Run ◽  
Short Run ◽  
The Impact

Purpose This paper aims to focus on testing the long-run relationship between fish production and two main variables, the foreign direct investment inflow and the marine trade balance in Oman, which is one of the Arab Gulf countries, during the period 1985-2016. Design/methodology/approach This study uses what known as the two-step Engle–Granger cointegration test to give evidence for the long-run relationship among the variables. Findings The results show that there are a negative long- and short-run relations between fish production and marine trade balance; moreover, any shocks will be corrected within two periods at the most.  Originality/value This study is one of few studies in using the econometric models to study the impact of fish production on marine trade balance and foreign direct investment.

Intensity of shock transmission amid US-BRICS markets

2015 ◽  
Vol 10 (3) ◽  
pp. 311-328 ◽  
Author(s):  
P. Lakshmi ◽  
S. Visalakshmi ◽  
Kavitha Shanmugam
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Stock Markets ◽  
Subprime Mortgage ◽  
Content Type ◽  
Brics Countries ◽  
Long Run ◽  
The Us ◽  
The Usa ◽  
Short Run

Purpose – The purpose of this paper is to analyze the intensity of transmission of shocks from USA to BRICS countries in the long-run and short-run deviations and swiftness of recovery during US subprime mortgage crisis. This analysis enables the authors to explore the evolving patterns of relationships between these markets and examine whether their co-movements altered either in response to international shocks that originated in advanced markets like USA or due to their domestic fluctuations. Design/methodology/approach – Employing data of daily stock market indices (open and close) of BRICS countries for the period January 2, 2001 to May 31, 2012, this paper examines the interactions and characteristics of price movements of BRICS with US market by applying co-integration tests, vector error correction model and Granger causality relationship. The daily stock market indices data are derived from respective stock exchange web sites. Findings – The results exhibit that both long-run co-integration relationships and short-run Granger causality relationships exist between the stock markets of US-BRICS. Furthermore, this nexus is amplified in the short-run during 2007-2009, when the subprime mortgage financial crisis in the USA cropped up. This finding lends support to the prominence of developed (US) market links in the proliferation of persistent co-movements of BRICS stock markets. Research limitations/implications – The findings imply an increasing degree of global market integration due to quick dissemination of global shocks originating from developed market like USA, and swift recovery which can be attributed to the increased resilience, consistent with the moderated level of domestically driven risk in the BRICS markets. In spite of their similarities, long-run and short-run interdependences with the US stock market exhibit differences among the BRICS. This can be attributed to the regional heterogeneity in long-run risk and return co-movements with the USA. Practical implications – Changes from the US index easily affect these stock markets in the short-run, which implies that the US index may act as a leading indicator for investing funds in BRICS markets. Originality/value – This study would enable the authors to understand whether BRICS economies actually remain resilient to adverse developments in USA and could serve as alternative investment destinations for global portfolio diversification.

On the link between policy uncertainty and housing permits: asymmetric evidence from state-level data in the USA

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsen Bahaman-Oskooee ◽  
Hesam Ghodsi ◽  
Muris Hadzic
Keyword(s):  
Error Correction ◽  
State Level ◽  
Policy Uncertainty ◽  
Content Type ◽  
Asymmetric Effects ◽  
Long Run ◽  
Ardl Approach ◽  
The Usa ◽  
Short Run ◽  
Error Correction Modeling

Purpose The purpose of this study is to assess the symmetric and asymmetric impact of a measure of policy uncertainty on house permits issued in each state of the USA. Design/methodology/approach To assess the symmetric effects, the authors use Pesaran et al.’s (2001) linear autoregressive distributed lag (ARDL) approach to error-correction modeling. To assess the asymmetric effects, they rely upon Shin et al.’s (2014) nonlinear ARDL approach to error-correction modeling. Both approaches have the advantage of producing short-run and long-run effects in one step. Findings The authors find short-run symmetric effects of policy uncertainty on house permits issued in 22 states that lasted into the long run in three states only. However, the numbers were much higher when they estimated the possibility of asymmetric effects of policy uncertainty. Indeed, they found short-run asymmetric effects in 38 states and long-run asymmetric effects in 18 states. Originality/value Some previous studies assessed the effects of a measure of policy uncertainty on house prices. In this paper, the authors extend the same analysis to the supply side of the housing market by assessing the effects of policy uncertainty on house permits in each state of the USA.

Effects of exchange rate and income on the US bilateral trade with China under Chinese managed floating exchange rate system

2018 ◽  
Vol 11 (3) ◽  
pp. 236-246 ◽  
Author(s):  
Yongqing Wang
Keyword(s):  
Exchange Rate ◽  
Bilateral Trade ◽  
Trade Deficit ◽  
Rate System ◽  
Content Type ◽  
Long Run ◽  
The Us ◽  
Floating Exchange Rate ◽  
Exchange Rate System ◽  
Us Dollar

Purpose China’s exchange rate system remains a public concern. This paper aims to investigate the effects of the appreciation of the US dollar (or depreciation of Chinese Yuan) under China’s “managed floating exchange rate system” on the US bilateral trade deficit with China, the US exports to China and the US imports from China. Design/methodology/approach The author uses quarterly data from 2005Q3 to 2017Q3 and applies autoregressive distributed lags model to carry out the empirical analysis. Findings The results suggest that both the US and Chinese income are important determinants of the US bilateral trade deficit with China, the US exports to China and the US imports from China. Further, the appreciation of the US dollar with respect to Chinese currency may discourage the US exports to China, but will not considerably promote the US imports from China in the long run. Finally, the appreciation of the US dollar does not contribute significantly to the US trade deficit with China in the long run. Originality/value Policymakers may want to pay attention to the results of currency depreciation on bilateral trade flows and trade balance in both the short and the long run. The results are different. Policymakers may also want to keep the following in mind: both the US and Chinese income are vital factors of bilateral trade balance, exports and imports.

scholarly journals Pakistan-EU Commodity Trade: Is there Evidence of J-Curve Effect?

2017 ◽  
Vol 17 (2) ◽  
pp. 20160067 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Javed Iqbal ◽  
Muhammad Muzammil
Keyword(s):  
Trade Balance ◽  
Bilateral Trade ◽  
Commodity Trade ◽  
Trade Data ◽  
Currency Depreciation ◽  
Long Run ◽  
J Curve ◽  
Curve Effect ◽  
Short Run ◽  
Trade Partners

In investigating the short run and the long run impact of currency depreciation on Pakistan’s trade balance, previous studies have either relied on using bilateral trade data between Pakistan and her trade partners or between Pakistan and the rest of the world and have found not much support for successful depreciation. Suspecting that these studies may suffer from aggregation bias, in this paper we use disaggregated trade data at commodity level from 77 industries that trade between Pakistan and EU. While we find short-run significant effects in 22 industries, these effects do not last into the long run in most industries. Most of the affected industries are found to be small, as measured by their trade shares.

scholarly journals Linear and Nonlinear Dynamics of the Turkish Trade Balance

2016 ◽  
Vol 8 (2) ◽  
pp. 70 ◽  
Author(s):  
Huseyin Karamelikli
Keyword(s):  
United States ◽  
United Kingdom ◽  
Exchange Rate ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
J Curve ◽  
Short Run

<p>This study empirically analyses bilateral trade of Turkey with her main trade partners using monthly time series data over the period of 2000 to 2015. J-curve theory and short-run dynamics of bilateral trade is tested by linear ARDL and Non-linear ARDL approaches. The empirical results indicate that there is no J-curve effect during short-run for United States and for France; it symmetrically exists to Germany and asymmetrically to United Kingdom. Also long-run relationship between exchange rate and trade balance has mixed results. Asymmetric long-run relationship between exchange rate and trade balance for United States exists where it is symmetrically most appropriate for Germany. In the other hand this study failed to verify any long-run relationship between exchange rate and trade balance for France and for United Kingdom.</p>

On the relation between purchasing manager’s index and trade policy uncertainty: evidence from China, Japan and the USA

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imlak Shaikh
Keyword(s):  
Supply Chain ◽  
Trade Policy ◽  
Economic Activity ◽  
Price Index ◽  
Policy Uncertainty ◽  
Content Type ◽  
Uncertainty Index ◽  
The Usa ◽  
Trade Policy Uncertainty ◽  
Practical Implications

Purpose Trade uncertainty does influence the firm’s new investment, profitability and supply chain finance. Consequently, it results in decreased consumption and low consumer confidence and eventually disrupts global economic activity. This paper aims to propose a model to uncover the effects of trade policy uncertainty (TPU) on the real economic activity and economy’s health measured in terms of the purchasing manager’s index (PMI). Design/methodology/approach This study uses the PMI, trade policy uncertainty index, economic policy uncertainty index and short-term interest rate. The relation between economic activity and uncertainty was studied using nested regression and vector autoregressive model. Findings The empirical results show that PMI of China and Japan were more responsive to the TPU of the USA and remained more fluctuating during the year 2018–2019. Importantly, this paper notices that the US’s PMI reached a low historically subject to its own trade policy and tension with China. Overall, TPU has shown more pronounced effects on PMI across China, Japan and the USA, followed by important economic and political events and major trade tariff uncertainty deals. Practical implications The empirical outcome holds some practical implications trade uncertainty affects not only the economic health of the economy but also market participants, global investors and international political environment, recent trade barriers, tariff wars and ambiguity raise question about free and fair global trade and competitiveness of the member country of the world trade organization. Originality/value The work is a novel that attempts to explain economic activity and supply chain through PMI. Unlike conventional economic indicators, e.g. gross domestic product, producer price index, consumer price index, employment, etc. PMI measures manufacturing industries’ overall status concerning the number of orders, inventory levels, productions, supplier deliveries and employment.

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