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 The Impact of Bank Indonesia Regulation No. 17/3/2015 on Exchange Rate: Analysis Using Vector Error Correction Model (VECM)

2021 ◽  
Vol 12 (2) ◽  
pp. 131-141
Author(s):  
Muhamad Yudi Setiawan ◽  
Tanti Novianti ◽  
Mukhamad Najib
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Negative Effect ◽  
The Exchange Rate ◽  
The Impact

The weakening of the Rupiah against the US dollar has encouraged Bank Indonesia to issued Bank Indonesia Regulation (Peraturan Bank Indonesia - PBI) No. 17/3/2015. The research aimed to analyze the factors that affected the Rupiah exchange rate, the effect of PBI No. 17/3/2015 on the movement of the Rupiah exchange rate, and the behavior of exchange rate movement to the shocks on the variables that influenced it. The research applied secondary data, namely monthly data from January 2008 to April 2019 taken from reliable sources such as National Development Planning Agency (Bappenas), Bank Indonesia (BI), and Statistics Indonesia (BPS). It was explanatory research with a quantitative approach. The studied data were processed with the Vector Error Correction Model (VECM) method to identify long and short-term effects. The results of the long-term equation show that export-import has a negative effect on the exchange rate. Similarly, inflation has no significant effect on the exchange rate. Then, the money supply has a significantly negative effect on the exchange rate. However, the interest rate of Bank Indonesia positively affects the exchange rate. Next, the implementation of PBI No. 17/3/2015 has a significant and positive impact on the exchange rate. Last, the crisis condition does not affect the changes in exchange rates.

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>

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.

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 IDENTIFIKASI BANJIR IMPOR KENTANG DAN DAMPAKNYA TERHADAP HARGA DOMESTIK KENTANG DI INDONESIA

2018 ◽  
Vol 2 (2) ◽  
pp. 156-175
Author(s):  
Hadiwiyono Hadiwiyono ◽  
Muhammad Firdaus ◽  
Lukytawati Anggraeni
Keyword(s):  
Error Correction ◽  
Function Analysis ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Domestic Price ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Safeguard Mechanism ◽  
The Impact

Indonesia needed to be cautious of import surge since it has potential to influence import value and price in the era of trade globalization. The main purpose of this reasearch was to examine whether import surge occurred for horticulture commodities in Indonesia, especially for potato. The methods used for identifying occurrence of import surge was based on Special Safeguard Mechanism framework of World Trade Organization which will strengthened with Vector Error Correction Model to analyse the impact of import surge to domestic prices. Based on Special Safeguard Mechanism framework, volume-based Special Safeguard Mechanism triggered in almost all year during 2002-2012 but price-based Special Safeguard Mechanism is not triggered in those years. Based on Impuls Response Function analysis, the impact of import surge shock to domestic price was relatively low but occurred permanently. Based on Forecast Error Variance Decomposition analysis, import surge variables contributed slightly to the domestic price variability but it tend to increased as time. Keywords: Horticulture, Potato, Special Safeguard Mechanism, Import Surge, Vector Error Correction Model

scholarly journals An Empirical Analysis of The Impact of Islamic Banking on Real Output in Indonesia

2020 ◽  
Vol 11 (2) ◽  
pp. 329-345
Author(s):  
Hadi Sasana ◽  
Deni Ramdani ◽  
Ivo Novitaningtyas
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Error Correction Model ◽  
Islamic Banking ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Actual Output ◽  
The Impact

Abstract: The role and contribution of Islamic finance on economic growth in Indonesia has increased gradually and steadily. This is because the Islamic economy's universal and comprehensively basic principle is the primary foundation of Islamic banking. This research aimed to analyze the role of Islamic Banking on Indonesia's real sector during 2007.01 – 2016.04. This study used the Vector Error Correction Model (VECM) as a tool to analyze secondary data. The result showed that in Indonesia, sharia deposit positively and significantly influenced actual output in the short term. In addition, in the long-term, sharia financing positively and significantly influenced actual output. Moreover, Granger Causality Test proved the occurrence of one-way causality between actual output and inflation. Thus, Islamic banking can encourage actual output in Indonesia. The results of this study become a consideration for stakeholders and policymakers to pay more attention to strategies and policies that support economic growth in Indonesia.Abstrak: Perkembangan keuangan syariah di Indonesia semakin meningkat setiap tahunnya. Prinsip-prinsip dasar ekonomi syariah yang universal dan komprehensif merupakan landasan utama perbankan syariah. Tujuan penelitian ini untuk menginvestigasi peran perbankan syariah terhadap sektor riil di Indonesia selama periode 2007.01 – 2016.04. Penelitian ini menggunakan Vector Error Correction Model (VECM) sebagai alat untuk menganalisis data sekunder. Hasil penelitian menemukan bahwa dalam jangka pendek deposito syariah berpengaruh positif dan signifikan terhadap output rill. Selain itu, dalam jangka panjang pembiayaan syariah berpengaruh positif dan signifikan terhadap output riil di Indonesia. Lebih lanjut, Uji Kausalitas Granger membuktikan terjadinya kausalitas satu arah antara output riil dan inflasi. Dengan demikian, perbankan syariah mampu mendorong output riil di Indonesia. Hasil penelitian ini menjadi bahan pertimbangan bagi para pemangku kepentingan dan pengambil kebijakan untuk lebih memperhatikan strategi dan kebijakan yang mendukung pertumbuhan ekonomi di Indonesia.

scholarly journals Vector Error Correction Model on FDI and their Impact in the Republic of Macedonia

2018 ◽  
Vol 21 (2) ◽  
pp. 19-35 ◽  
Author(s):  
Irena Kikerkova ◽  
Elena Naumovska ◽  
Katerina Toshevska-Trpchevska ◽  
Elena Makrevska Disoska
Keyword(s):  
Error Correction ◽  
Growth And Development ◽  
Political Stability ◽  
Error Correction Model ◽  
Current Account Balance ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Impact

Abstract The subject of this paper is the foreign direct investment (FDI) inflow in Macedonia and its impact upon the economic growth and development of the country. Its basic purpose is to analyse the interconnection of FDI with a number of economic, political and institutional variables in Macedonia. We decided to apply Vector Error Correction Model (VECM) on FDI impact upon the Macedonian economy. The FDI indicator is calculated as a function of certain fundamental economic variables (GDP growth rate, labor productivity rate, openness to trade, current account balance) as well as of Worldwide Governance Indicators (control of corruption, government effectiveness, political stability, regulatory quality and rule of law). Results obtained by the econometric model should provide relevant conclusions on the impact of the up-to-date FDI inflow upon the growth and development of the Macedonian economy.

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