scholarly journals Dynamic Transmissions and Volatility Spillovers between Global Price and U.S. Producer Price in Agricultural Markets

2020 ◽  
Vol 13 (4) ◽  
pp. 83
Author(s):  
Jin Guo ◽  
Tetsuji Tanaka
Keyword(s):  
Producer Price ◽  
Vector Error Correction ◽  
Volatility Spillovers ◽  
Leading Role ◽  
Vector Error ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Producer Prices ◽  
Corn Prices ◽  
Wheat Price

A considerable number of studies have examined the relationship between global prices and local prices in food-importing nations, but the linkages between international prices and the producer prices of large agricultural exporters have been largely ignored. This paper analyzes the connections between world prices and U.S. producer prices in the wheat, soybeans, and corn markets using a vector error correction generalized autoregressive conditional heteroscedastic model with a multivariate Baba-Engle-Kraft Kroner specification (VECM-GARCH-BEKK) and cross-correlation function (CCF). Our findings indicate firstly that a long-run equilibrium relationship exists between international and U.S. producer prices for the three agricultural crops. It also finds a significant bidirectional causality-in-mean and causality-in-variance between international and U.S. producer prices for these crops. Finally, the empirical results suggest that international wheat and corn prices play a leading role in U.S. local markets in return transmissions and that U.S. wheat price can be considered to be a leading indicator of the global wheat price in volatility transmissions.

scholarly journals The Determinants of Foreign Direct Investment in India

2007 ◽  
Vol 8 (2) ◽  
pp. 79-90
Author(s):  
Yoon Jung Choi
Keyword(s):  
Structural Break ◽  
National Income ◽  
Open Door Policy ◽  
Negative Effects ◽  
Fdi Inflows ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Tariff Rates

India has implemented far-reaching economic reforms since it adopted a market-oriented open door policy in 1991. The current paper examines how changes in the macroeconomic condition have influenced inward FDI in India. The empirical evidence derived through vector error correction estimations show all three macroeconomic variables-national income, wage, and tariff races-form a statistically significant and stable long-run equilibrium relationship with FDI inflows. FDI inflows are revealed to be positively related to market size. In contrast, wage levels and tariff rates have negative effects on FDI inflows, implying chat less protection stimulates more FDI in India. Finally, albeit the existence of a structural break in the model between 1992 and 1993, the influence of economic reform on FDI inducement was not statistically significant.

Dynamics of the Relation Between Producer and Consumer Price Indices

2020 ◽  
pp. 24-40
Author(s):  
Özcan Ceylan
Keyword(s):  
Consumer Price Index ◽  
Economic Policies ◽  
Vector Error Correction ◽  
Common Trend ◽  
Vector Error ◽  
Long Run ◽  
Producer Prices ◽  
Equilibrium Relationships ◽  
Post War ◽  
Second Period

The relation between the Producer Prices Index (PPI) and the Consumer Price Index (CPI) in the U.S. is analyzed for two sub-periods: one spanning from 1947 to 1982, the post-war period marked by demand-side economic policies, and the other one starting by 1983 when supply-side policies pioneered by the Reagan government came into effect. As the series in question are found to be cointegrated, a Vector Error Correction Model is employed for the analysis. Regarding the long-run equilibrium relationships, it is found that the loading for the PPI series are statistically significant for both periods, while the loading for the CPI is barely significant for the first period, and it is insignificant at any acceptable level for the second. Thus, the CPI represents the common trend in the system in both periods, but it does more clearly so in the second period.

Enhancing Economic Growth and Government Revenue Generation in Nigeria: The Role of Diaspora Remittances

2021 ◽  
pp. 003464462110256
Author(s):  
Dal Didia ◽  
Suleiman Tahir
Keyword(s):  
Economic Growth ◽  
Parameter Estimates ◽  
Gross Domestic Product Growth ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Empirical Analysis

Even though remittances constitute the second-largest source of foreign exchange for Nigeria, with a $24 billion inflow in 2018, its impact on economic growth remains unclear. This study, therefore, examined the short-run and long-run impact of remittances on the economic growth of Nigeria using the vector error correction model. Utilizing World Bank data covering 1990–2018, the empirical analysis revealed that remittances hurt economic growth in the short run while having no impact on economic growth in the long run. Our parameter estimates indicate that a 1% increase in remittances would result in a 0.9% decrease in the gross domestic product growth rate in the short run. One policy implication of this study is that Nigeria needs to devise policies and interventions that minimize the emigration of skilled professionals rather than depending on remittances that do not offset the losses to the economy due to brain drain.

scholarly journals Do Erratic Rainfalls Hamper Grain Production? Analysis of Supply Response of Rice to Price and Non-Price Factors

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri
Keyword(s):  
Unit Root Test ◽  
Rice Production ◽  
Vector Error Correction ◽  
Supply Response ◽  
Target Time ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Impact

Increasing rice production has become one of the ultimate goals for South Asian countries. The yield and area under rice production are also facing threats due to the consequences of climate change such as erratic rainfall and seasonal variation. Thus, the main aim of this work was to find out the supply response of rice in Malaysia in relation to both price and non-price factors. To achieve this target, time series analysis was conducted on data from 1970 to 2014 using cointegration, unit root test, and the vector error correction model. The results showed that the planted area and rainfall have a significant effect on rice production; however, the magnitude of the impact of rainfall is less conspicuous for off-season (season 2) rice as compared to main-season rice (season 1). The speed of adjustment from short-run to long-run for season-1 rice production is almost two-and-a-half years (five production seasons), while for season-2 production, it is only about one-and-a-half year (three production seasons). Consequently, the study findings imply the supply of water to be enhanced through better water infrastructure for both seasons. Moreover, the area under season 2 is continuously declining to the point where the government has to make sure that farmers are able to cultivate the same area for rice production by providing uninterrupted supply of critical inputs, particularly water, seed and fertilizers.

Measuring Dynamic Sales Impacts of LBA Using Wireless Communication Technology

2013 ◽  
Vol 662 ◽  
pp. 896-901
Author(s):  
Zong Jin Liu ◽  
Yang Yang ◽  
Zheng Fang ◽  
Yan Yan Xu
Keyword(s):  
Wireless Communication ◽  
Error Correction ◽  
Communication Technology ◽  
Dynamic Error ◽  
Rapid Development ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Vector Error ◽  
Equilibrium Relationship

Because of rapid development of wireless communication technology, there is an increasing adoption of mobile advertising, such as location based advertising (LBA). To what extent can LBA improve advertising effectiveness is an important topic in the field of wireless communication technology research. Most researches quantify long term impacts of advertisings by VAR (Vector Autoregressive) model. However, compared to VAR model, VECM (Vector Error Correction Model) is a better method in that it allows one to estimate both a long-term equilibrium relationship and a short-term dynamic error correction process. In this study, we employ VECM to explore LBA’s (Location Based Advertising) and PUA’s (Pop-up Advertising) sales impact in both short and long terms. The developed VECM reveals that LBA’s sales impact is about more than2 times as big as PUA’s in short dynamic term and nearly 6 times bigger than PUA’s in long equilibrium term. These findings add to advertising and VECM literatures. These results can give managers more confident to apply wireless communication technology to advertising.

The Effect of Real Exchange Rate on Trade Balance in a Resource-Rich Economy: The Case of Mongolia

2018 ◽  
Vol 53 (4) ◽  
pp. 211-224 ◽  
Author(s):  
Gan-Ochir Doojav
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Trade Balance ◽  
Developing Economies ◽  
Jel Classification ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Exchange Rate Depreciation

For resource-rich developing economies, the effect of real exchange rate depreciation on trade balance may differ from the standard findings depending on country specific characteristics. This article employs vector error correction model to examine the effect of real exchange rate on trade balance in Mongolia, a resource-rich developing country. Empirical results show that exchange rate depreciation improves trade balance in both short and long run. In particular, the well-known Marshall–Lerner condition holds in the long run; however, there is no evidence of the classic J-curve effects in the short run. The results suggest that the exchange rate flexibility may help to deal effectively with current account deficits and exchange rate risk. JEL Classification: C32, C51, F14, F32

scholarly journals The spatial integration of potato wholesale markets of Uttarakhand in India

2017 ◽  
Vol 14 (2) ◽  
pp. 20-30 ◽  
Author(s):  
A Kumar ◽  
R Mishra
Keyword(s):  
Wholesale Price ◽  
Likelihood Method ◽  
Spatial Integration ◽  
Market Information ◽  
Demand And Supply ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Price Demand

This paper analyzes the spatial integration of potato markets in Uttarakhand using monthly wholesale price for ten years. The maximum likelihood method of cointegration developed by Johansen (1988) was used in the study. The dynamics of short-run price responses were examined using vector error correction model (VECM). The results indicated that five potato markets reacted on the long-run cointegrating equations while the speed of price adjustment in the short-run was almost absent. Moreover, it was found that the longer the distance between the markets, the weaker the integration was. To increase the efficiency of potato markets in Uttarakhand, there is need to focus on building an improved market information system. This system should be able to disseminate timely market information about price, demand and supply of produce to enable producers, traders and consumers to make proper production and marketing decisions.SAARC J. Agri., 14(2): 20-30 (2016)

scholarly journals Investigating Gold Investment as an Inflationary Hedge

2018 ◽  
Vol 7 (1) ◽  
pp. 30-41 ◽  
Author(s):  
Narinder Pal Singh ◽  
Navneet Joshi
Keyword(s):  
Consumer Price Index ◽  
Wald Test ◽  
Indian Culture ◽  
Vector Error Correction ◽  
Fund Managers ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Portfolio Managers ◽  
Long Run Equilibrium

Gold and Indian culture have been sharing an age-old association. India is one of the top two consumers of gold. Gold is the most popular investment avenue because of its ability to provide liquidity. The average monthly price however has grown by 1,588 percent over the whole period from 1979 to 2017 (June). In this article, we intend to investigate gold as an investment to hedge against inflation. The sample period to study the relationship between gold and inflation is 2011–2017 (March). To analyze long-run equilibrium between gold and inflation (consumer price index [CPI]), Johansen’s cointegration approach has been used. The short- and long-run causality between gold and inflation has been studied using vector error correction model (VECM) and Wald test. The results of cointegration indicate that gold and CPI series are cointegrated and bear long-run equilibrium. Both VECM and Wald test results indicate that there is only long-run causality between CPI and gold prices. However, in short run these variables do not show any causality. Thus, we infer that gold investment can be used as hedge against Inflation. The findings of this research have got direct implications for retail investors, portfolio managers, treasury and fund managers, government, and commercial traders.

scholarly journals Twin deficits in small open Baltic economies

2014 ◽  
Vol 61 (2) ◽  
pp. 227-239
Author(s):  
Veronika Suliková ◽  
Marianna Sinicáková ◽  
Denis Horváth
Keyword(s):  
Current Account ◽  
Current Account Deficit ◽  
Exchange Rate Regime ◽  
Budget Balance ◽  
Twin Deficits ◽  
Vector Error Correction ◽  
Baltic Countries ◽  
Vector Error ◽  
Long Run ◽  
Causality Tests

This paper analyzes the twin deficit hypothesis - simultaneous current account deficit and budget deficit - in three small open Baltic countries (Estonia, Latvia and Lithuania) running under certain forms of the fixed exchange rate regime. The idea of twin deficits is tested using the vector error correction model (VECM), Granger causality tests and forecast variance decomposition, involving three variables: current account, budget balance, and investments. The new estimates confirm significant long-run positive relation between budget balance and current account in Estonia and Lithuania on one hand and the negative one in case of budget balance and investments in all three considered countries. The results of the analysis are specific to each country as they depend on their particular macroeconomic background. The contribution was elaborated within the project VEGA 1/0973/11.

scholarly journals Profitability Variables and Bank Size Effects on Corporate Zakat: Evidence from Indonesian Islamic Banks

2019 ◽  
Vol 4 (1) ◽  
pp. 55-66
Author(s):  
Muhammad Anif Afandi
Keyword(s):  
Impulse Response Function ◽  
Islamic Banks ◽  
Vector Error Correction ◽  
Independent Variables ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Operational Activities ◽  
Conventional Banks ◽  
Research Period

Islamic banks carry out their operational activities based on Islamic principles. Thus, they are not only required to pay taxes but also zakat of 2.5 percent with several conditions. Theoretically, zakat has an impact on Islamic banks larger expenditures compared to conventional banks which are not obliged to. This research examines and analyzes the extent to which profitability variables which are ROA, ROE, and BOPO, and bank size which is represented by total assets, can affect corporate zakat expenditure by Islamic Commercial Banks (BUS) in Indonesia. To do so, the Panel Vector Error Correction Model (PVECM) is used to analyze the subject matters which the period covers from 2012 to 2017. This work finds that in the short-run, all the independent variables were insignificant. However, in the long-run only ROE and BOPO which were significant. The results of the Impulse Response Function (IRF) analysis showed that the dependent variable responds to the shock of its independent variables with fluctuating and even negative trend. In addition, the results of Variance Decomposition (VDC) analysis showed that the contribution of profitability variables and bank size tended to decrease toward the formation of corporate zakat expenditure by BUS until the end of the research period. Keywords: Corporate Zakat Expenditure, Islamic Banks, Profitability, Bank Size, PVECM

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