PERKEMBANGAN NERACA PERDAGANGAN DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA

2014 ◽  
Vol 8 (1) ◽  
pp. 51-72
Author(s):  
Ari Mulianta Ginting
Keyword(s):  
Foreign Direct Investment ◽  
Error Correction ◽  
Trade Balance ◽  
Direct Investment ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

Penelitian ini menganalisis perkembangan neraca perdagangan Indonesia dan faktor yang mempengaruhinya selama periode Kuartal I tahun 2006 sampai dengan Kuartal II tahun 2013 menggunakan Vector Error Correction Model (VECM). Neraca perdagangan Indonesia menunjukkan perkembangan yang positif dalam kurun waktu 2006-2011, dan pertumbuhan negatif selama periode 2012-2013. Penelitian ini juga menemukan bahwa baik dalam jangka panjang maupun jangka pendek, konsumsi domestik dan nilai tukar riil berpengaruh negatif dan signifikan terhadap neraca perdagangan Indonesia, sedangkan variabel Investasi Asing Langsung dan PDB Negara lain berpengaruh positif. Nilai error correction model yang negatif dan signifikan menunjukkan adanya koreksi dari pergerakan variabel pada keseimbangan jangka panjang. Hal ini mengindikasikan pentingnya pemerintah untuk mengeluarkan kebijakan yang tepat untuk mengatasi defisit neraca perdagangan Indonesia, antara lain menjaga stabilitas nilai tukar, mengendalikan konsumsi masyarat terhadap barang impor, dan menarik Foreign Direct Investment. This paper examines the development of Indonesia’s trade balance and its determinant factors from the first quarter of 2006 to the second quarter of 2013 using a Vector Error Correction Model (VECM). The development of trade balance from the year 2006-2011 has shown a positive trend. However between the year 2012 and 2013, the trade balance has been negative.The analysis shows that both in the short run and the long run,the domestic consumption and Real Exchage Rate have negative and significant influence on Indonesia’s trade balance. Whilst Foreign Direct Investment and Foreign GDP have positive effect. The coefficient of Error Correction Model is negative and significant implying that there is correction movement from those variabels in the long run. This study suggests that the Government should make the right policy to overcome the deficit of trade balance by maintaining including exchange rate stability,and household consumption of imported goods as well as by attracting Foreign Direct Investment.

scholarly journals Measuring the Dis-Equilibrium in Acreage Response of Black Gram (Vigna mungo (L.) Hepper) in Tamil Nadu – A Vector Error Correction Model

2020 ◽  
pp. 26-36
Author(s):  
R. Sangeetha ◽  
K. R. Ashok ◽  
P. Asha Priyanka
Keyword(s):  
Error Correction ◽  
Tamil Nadu ◽  
Error Correction Model ◽  
Relative Price ◽  
Vector Error Correction Model ◽  
Black Gram ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

The study has observed an increasing trend in pulses production, driven mainly by yield improvements. The contributions of area expansion and prices to black gram growth have been erratic, suggesting that these cannot be the sustainable sources of black gram growth. Further, farmers’ area allocation decisions to pulses are not price-dependent, but depend on non price factors, mainly rainfall. However, the growth in pulses production in the long-run must come from technological changes. Numerous past studies on black gram cultivation in Tamil Nadu is criticized for using the weaker Nerlovian Partial Adjustment models and for analytical interpretation through Ordinary Least Square (OLS) creating spurious results for time series data. This problem can be avoided if Econometric technique of co-integration is used. It is for the present paper measuring the dis-Equilibrium in acreage response of black gram by using a vector error correction model. Our unit root analysis indicates that underlying data series were not stationary and are all integrated of order one, that is I(1). The Johansen co-integration approach indicates the presence of a co-integrating relationship in the acreage response model. Black gram acreage is significantly influenced by relative price of black gram, and other competing crops such as groundnut whenever resourceallocation is concerned famers preferred to allocate irrigated land to other competing crops which are more remunerative and high yielding than black gram crop. The black gram supply elasticity’s are found to be inelastic both in the short-and long-run. The long-run and short run price elasticity’s were 0.41 and 0.28, respectively.

scholarly journals Analisis Pengaruh Kinerja Keuangan terhadap Profitabilitas Bank Syariah di Indonesia

2017 ◽  
Vol 8 (2) ◽  
pp. 175
Author(s):  
Heri Sudarsono
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Third Party ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Factors Affecting ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

<p>This study aimed to analyze the factors affecting the amount of profitability (ROA) provided by Islamic banking in Indonesia. The data which is used is taken from the financial report of the Shari’a Bank during the 2011-2016 periods by using montly financial statement This study uses a Vector Error Correction Model (VECM) to see the long-term effect and response to shock that occur in the studied variables. The result shows that in the long run, the percentage Financing (FIN) and BOPO give a positive siqnifikant effect on the ROA, while third party funds (DPK), percentage profit and loss sharing (TBH), financial to deposit ratio (FDR) has negative and siqnificant effect on the ROA. Sertifikat Bank Indonesia Syariah (SBIS) and non performing finance (NPF) have no significant effect on the ROA. In short run, ROA give a negatif and siqnificant effect on the ROA and FDR give a positif and siqnificant effect, while DPK, FIN, SBIS, TBH, NPF and BOPO have no sinificant effect on the ROA. Therfore, shocks that occur in the ROA, FIN, FDR , NPF dan BOPO positively responded by ROA and will be stable in the long term. While the shocks that occur in the percentage of FDR, SBIS and TBH responded negatively by financing and will be stable in the long term.</p><p>Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi profitabilitas (ROA) perbankan syariah di Indonesia. Data yang digunakan data bulanan dari laporan keuangan bank syariah periode 2010-2015. Penelitian ini mengunakan Vector Error Correction Model (VECM) untuk melihat dampak jangka panjang dan respon terhadap dampak shock pada setiap variabel terhadap pembiayaan. Hasil olah data menunjukkan bahwa FIN dan BOPO berhubungan positif terhadap ROA, sedangkan DPK, TBH, FDR berhubungan negatif terhadap dan ROA SBIS dan NPF tidak berpengaruh terhadap tingkat ROA. Dalam jangka pendek, ROA berhubungan negatif, tetapi FDR terhadap ROA berhubungan positif. Sedangkan DPK, FIN, SBIS, TBH, NPF and BOPO tidak berhubungan dengan pembiayaan. Di lain pihak, respon pembiayan terhadap goncangan yang terjadi terjadi pada ROA, FIN, FDR, NPF dan BOPO direspon positif oleh ROA. Sedangkan respon ROA terhadap goncangan yang terjadi pada FDR, SBIS dan TBH adalah negatif.</p>

MODEL PERMINTAAN UANG DI INDONESIA DENGAN PENDEKATAN VECTOR ERROR CORRECTION MODEL

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Imam Mukhlis
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Demand For Money ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

This research aims to estimate the demand for money model in Indonesia for 2005.22015.12. The variables used in this research are demand for money, interest rate, inflation, and exchange rate (IDR/US$). The stationary test with ADF used to test unit root in the data. Cointegration test applied to estimate the long run relationship between variables. This research employed the Vector Error Correction Model (VECM) to estimate the money demand model in Indonesia. The results showed that all the data was stationer at the difference level (1%). There were long run relationship between interest rate, inflation and exchange rate to demand for money in Indonesia. The VECM model could not explain interaction between explanatory variables to independent variables. In the short run, there were not relationship between interest rate, inflation and exchange rate to demand for money in Indonesia for 2005.2-2015.12.

scholarly journals The Impact Of Dividend Payments On Shareholders Wealth: Evidence From The Vector Error Correction Model

2013 ◽  
Vol 12 (11) ◽  
pp. 1451 ◽  
Author(s):  
Johannes De Wet ◽  
Mvita Mpinda
Keyword(s):  
Error Correction ◽  
Market Price ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Dividend Payments ◽  
Vector Error ◽  
Long Run ◽  
The Impact

To date, a vast body of research has been established on dividend policy. However, little research has been done on the impact of dividend payments on shareholders wealth while considering the short- and long-run effects. This study is based on a sample of 46 companies listed on the Johannesburg Securities Exchange (JSE) for the period 1995 to 2010. The Vector Error Correction Model (VECM) was used to describe the short-run and long-run dynamics or the adjustment of the co-integrated variables toward their equilibrium values. Results indicate that in the long run, dividend yield is positively related to market price per share, while earnings per share do not have a significant impact on the market price per share.

scholarly journals Changes of Relation in Multi-Population Mortality Dependence: An Application of Threshold VECM

Risks ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 14
Author(s):  
Rui Zhou ◽  
Guangyu Xing ◽  
Min Ji
Keyword(s):  
Error Correction ◽  
Threshold Effect ◽  
Mortality Rates ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Multiple Populations ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

Standardized longevity risk transfers often involve modeling mortality rates of multiple populations. Some researchers have found that mortality indexes of selected countries are cointegrated, meaning that a linear relationship exists between the indexes. Vector error correction model (VECM) was used to incorporate this relation, thereby forcing the mortality rates of multiple populations to revert to a long-run equilibrium. However, the long-run equilibrium may change over time. It is crucial to incorporate these changes such that mortality dependence is adequately modeled. In this paper, we develop a framework to examine the presence of equilibrium changes and to incorporate these changes into the mortality model. In particular, we focus on equilibrium changes caused by threshold effect, the phenomenon that mortality indexes alternate between different VECMs depending on the value of a threshold variable. Our framework comprises two steps. In the first step, a statistical test is performed to examine the presence of threshold effect in the VECM for multiple mortality indexes. In the second step, threshold vector error correction model (TVECM) is fitted to the mortality indexes and model adequacy is evaluated. We illustrate this framework with the mortality data of England and Wales (EW) and Canadian populations. We further apply the TVECM to forecast future mortalities and price an illustrative longevity bond with multivariate Wang transform. Our numerical results show that TVECM predicted much faster mortality improvement for EW and Canada than single-regime VECM and thus the incorporation of threshold effect significant increases longevity bond price.

scholarly journals Assessment of cassava supply response in Nigeria using vector error correction model (VECM)

Agricultura ◽  
2016 ◽  
Vol 13 (1-2) ◽  
pp. 79-86
Author(s):  
Oluwakemi Adeola Obayelu ◽  
Samuel Ebute
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Agricultural Commodities ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Cassava Production

Abstract The response of agricultural commodities to changes in price is an important factor in the success of any reform programme in agricultural sector of Nigeria. The producers of traditional agricultural commodities, such as cassava, face the world market directly. Consequently, the producer price of cassava has become unstable, which is a disincentive for both its production and trade. This study investigated cassava supply response to changes in price. Data collected from FAOSTAT from 1966 to 2010 were analysed using Vector Error Correction Model (VECM) approach. The results of the VECM for the estimation of short run adjustment of the variables toward their long run relationship showed a linear deterministic trend in the data and that Area cultivated and own prices jointly explained 74% and 63% of the variation in the Nigeria cassava output in the short run and long-run respectively. Cassava prices (P<0.001) and land cultivated (P<0.1) had positive influence on cassava supply in the short-run. The short-run price elasticity was 0.38 indicating that price policies were effective in the short-run promotion of cassava production in Nigeria. However, in the long-run elasticity cassava was not responsive to price incentives significantly. This suggests that price policies are not effective in the long-run promotion of cassava production in the country owing to instability in governance and government policies.

scholarly journals The Effect of Cultivated Area and the Prices of Buying the Rice on Its Production in AL- Qadisiyah Province-Iraq During (1990-2014) by Using VECM

2018 ◽  
Vol 7 (1) ◽  
pp. 102-113
Author(s):  
Hayder Abbas Drebee
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Purchase Price ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Relationship

The study aims to determine the effect of the cultivated area and the purchase price on the production of rice in the province of Al-Qadissiya - Iraq for the period (1990-2014). Johansen and Juseliusmethod is used to test the co-integration between the variables. Vector Error Correction Model (VECM) is employed to determine the direction of the causality between production and priceof rice, as well as between the production of rice and the  area cultivated in the short and long run. The analysis of the results shows that there is a co-integration among the variables, and the direction of the relationship is a directional move from cultivated area to production of rice, and from price to production of rice in the short and long run. The study recommends to expand the cultivated area along with maintaining the farm and not to converted to other crops, in addition of determining the purchase price of the crop at the beginning of the agricultural season to ensure a good income for farmers in order to motivate them to increase production.

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