scholarly journals Monetary policy and unemployment in the Republic of Serbia

Industrija ◽  
2020 ◽  
Vol 48 (2) ◽  
pp. 73-88
Author(s):  
Nevena Veselinović
Keyword(s):  
Monetary Policy ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Vector Error Correction ◽  
Vector Error ◽  
Vec Model ◽  
Long Run ◽  
Key Policy ◽  
The Republic

The main aim of the examination is to conclude whether monetary policy can influence the unemployment rate through the key policy rate and to analyze the fundamental linkages among inflation and unemployment in the Republic of Serbia, considering that those mentioned occurrences are major destabilizers of the developing economy. The Vector error correction model is used as the central model for inquiring the structure of the time series. From the cointegration equation of the VEC model, it can be concluded that there is no long-run equilibrium dynamic between the key policy rate and the unemployment rate in the Republic of Serbia over the period 2009M1-2019M6. Regarding the relationship between inflation and unemployment, there is a positive statistically significant effect of the inflation rate to the unemployment rate in the long-term. In the short term, results indicate that the key policy rate, as well as the inflation rate, do not cause the unemployment rate in the observed period.

scholarly journals Effect of Money Supply on the Stock Market

2017 ◽  
Vol 65 (2) ◽  
pp. 465-472 ◽  
Author(s):  
Vladimír Pícha
Keyword(s):  
Monetary Policy ◽  
Stock Market ◽  
Money Supply ◽  
Policy Framework ◽  
Vector Error Correction ◽  
Flow Of Funds ◽  
Portfolio Balance ◽  
Vector Error ◽  
Long Run ◽  
The Impact

This paper observes effect of money supply on the stock market through the portfolio balance channel as a transmission mechanism of monetary policy. National flow of funds accounts, specifically assets from US households’ portfolios, represent a key data source. Johansen’s cointegration methodology is employed in the empirical part of the paper to analyze both short term and long term relationships among researched variables. Estimates of vector error correction model help to reliably quantify intensity of the effect. Results show money supply excercises influence on valuation of S&P 500 index with 6 months lag. The impact is also distinguishable in the long run, whereas all observed asset classes can positively influence price of S&P 500. Findings are then contextualized in the concluding part of the paper using a monetary policy framework.

scholarly journals Effectiveness of Monetary Policy Instruments on Economic Growth in Jordan Using Vector Error Correction Model

2017 ◽  
Vol 9 (11) ◽  
pp. 194
Author(s):  
Rami Obeid ◽  
Bassam Awad
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Policy Instruments ◽  
Short Term ◽  
Correction Model ◽  
Vector Error Correction ◽  
Real Gdp ◽  
Vector Error ◽  
Effect Of Monetary Policy

The global financial crisis emphasized the important role of the prudent monetary policy in supporting economic growth through maintaining price stability. The monetary policy operational framework that was designed in 2008 was updated to include more instruments for managing monetary policy learning from the crisis lessons. Several studies analyzed various dimensions related to economic growth in Jordan such as Abdul-Khaliq, Soufan, and Abu Shihab (2013) and Assaf (2014), there were no studies that investigated the effect of monetary policy on economic growth in Jordan, at least recently, however. The study aims at measuring the effect of monetary policy instruments on the performance of Jordanian economy. Using quarterly data covering the period (2005-2015), an econometric model was examined using Vector Error Correction Model to assess the impact of monetary policy instruments on economic growth. The foremost advantage of VECM is that it has a nice interpretation of long-term and short-term equations. The results showed the existence of positive long-term and short-term effects of monetary policy instruments on the growth of real GDP. The model included three monetary policy instruments besides money supply. They are required reserve ratio, rediscount rate and overnight interbank loan rates as independent variables, and the real GDP growth as a dependent variable. The stationarity of the model time series was addressed. In addition, the stability of the model was tested using stability diagnostics tools. The results showed also an existence of inverse relationship between rediscount rate and economic growth in Jordan over both long and short terms.

scholarly journals CAN FOREIGN DIRECT INVESTMENT REDUCE UNEMPLOYMENT IN HOME COUNTRIES? ANALYSIS FOR ASEAN COUNTRY

2019 ◽  
Vol 4 (2) ◽  
pp. 143
Author(s):  
ELSA WIDIA ◽  
ENDRIZAL RIDWAN ◽  
FAJRI MUHARJA
Keyword(s):  
Empirical Studies ◽  
Direct Foreign Investment ◽  
Annual Data ◽  
Long Term Effects ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Asean Country

Direct Foreign Investment (FDI) has been considered as one of the important strategies in long-term economic development. FDI is seen not only as a capital transfer but also has an important effect on increasing the host economy. FDI then became popular in many countries, so it was interesting to analyze the effects produced, both positive and negative. This research focuses on countries in the Association of Southeast Asian Nations (ASEAN) with the aim of conducting empirical studies on opportunities for employment creation by FDI. However, due to limited data in several countries, this study only involved Indonesia, Singapore, Malaysia and Thailand. The type of data used in this study is annual data covering from 1980-2017. Using estimation Vector Error Correction Model (VECM) allows to see short-term and long-term effects. The test results prove that the influence between variables is more visible in the long run

COINTEGRATED-BASED FORECAST OF LONG-RUN RELATIONSHIPS

2021 ◽  
Vol 14(63) (1) ◽  
pp. 153-168
Author(s):  
Klara-Dalma Deszke ◽  
Liliana Duguleana
Keyword(s):  
Vector Error Correction ◽  
Final Consumption ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Long Run ◽  
Lag Model ◽  
Relationship Of

The Vector Error Correction Model (VECM) and the Autoregressive Distributed Lag Model (ARDL) are used to estimate the cointegration in the case of long-run relationship of quarterly GDP and Final Consumption in Romania during the period 1995 – 2019. The actual data of 2020 Q1 and Q2 were used to check the best model’s validity. The static and dynamic approaches of the ARDL model were used to forecast the Final Consumption for Q3 and Q4 of the year 2020. Applying the cointegration model shows the long term relationship of GDP and Final Consumption, but also the effects of other factors, seen in the differences of Final Consumption from its Long-Run evolution, and comprised in the cointegrating terms.

Are house prices in the Norwegian capital too high?

2015 ◽  
Vol 8 (2) ◽  
pp. 152-168 ◽  
Author(s):  
Svein Olav Krakstad ◽  
Are Oust
Keyword(s):  
House Prices ◽  
Construction Costs ◽  
Policy Makers ◽  
Correction Model ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Practical Implications

Purpose – This paper aims to investigate whether the homes in the Norwegian capital, Oslo, are overpriced. While house prices in many countries dropped after the financial crisis, those in Norway have continued to increase. Over the past 20 years, real house prices in Oslo have increased by around 7 per cent yearly. Design/methodology/approach – The authors use a vector error correction model to estimate the equilibrium between house prices, rents, construction costs and wages to examine whether house prices in Oslo are overpriced. Findings – Long-term relationships between house prices, rents, construction costs and wages are found and used to estimate equilibrium house prices in Oslo. The overpricing in Oslo compared to estimated equilibrium prices is around 35 per cent. Practical implications – Price–rent, price–construction cost and price–income ratios are often used, by practitioners to say something about over- or underpricing in the housing market. We test and find that house prices, rents and construction costs move toward constant ratios in the long run, while wages are found to be weakly exogenous in the system. Originality/value – Our estimate of overpricing gives households, investors and policy-makers a better understanding of the risk associated with owning dwellings.

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>

scholarly journals Modelling Respon Rasio Keuangan Terhadap Pembiayaan Pada Bank Syariah Di Indonesia

2017 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Heri Sudarsono
Keyword(s):  
Capital Adequacy ◽  
Third Party ◽  
Factors Affecting ◽  
Vector Error Correction ◽  
Financial Report ◽  
Vector Error ◽  
Long Run ◽  
Long Term Effect ◽  
Short Run

<p align="center"><strong> </strong></p><p><em>This research is meant to analyze the factors affecting the amount of financing provided by Islamic banking in Indonesia. The data which is used is taken from the financial report of the Shari’a Bank during the 2011-2015 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 of third party funds (DPK), capital adequacy ratio (CAR), financial deposit ratio (FDR), percentage profit and loss sharing (TBH), give a positive and significant effect on the financing, while BOPO  has negative and significant effect.  Return on asset (ROA) and non perfroming finance (NPF) have no significant effect on the financing. In short run, financing and BOPO give a positive and siqnificant effect on teh financing, then DPK, CAR, FDR, TBH have no sinificant effect on the financing. Therfore, shocks that occur in the financing, ROA, CAR, FDR dan NPF positively responded by financing and will be stable in the long term. While the shocks that occur in the percentage of profit and loss sharing, third party funds, and BOPO responded negatively by financing and will be stable in the long term. </em></p>

THE CAUSAL RELATIONSHIP BETWEEN INSURANCE AND ECONOMIC GROWTH IN NIGERIA (1986-2010)

2012 ◽  
Vol 02 (12) ◽  
pp. 49-57
Author(s):  
TAIWO AKINLO
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Causal Relationship ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This study examined the causal relationship between insurance and economic growth in Nigeria over the period 1986-2010. The Vector Error Correction model (VECM) was adopted. The cointegration test shows that GDP, premium, inflation and interest rate are cointegrated when GDP is the edogeneous variable. The granger causality test reveals that there is no causality between economic growth and premium in short run while premum, inflation and interest rate Granger cause GDP in the long run which means there is unidirectional causality running from premium, inflation and interest rate to GDP. This means insurance contributes to economic growth in Nigeria as they provide the necessary long-term fund for investment and absolving risks.

scholarly journals Monetary Policy and Long Run Economic Growth in Nigeria: An Application of the Vector Error Correction Mechanism

2021 ◽  
Vol 2 (2) ◽  
pp. 71-83
Author(s):  
Vincent Iorja GISAOR
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Error Correction ◽  
Money Supply ◽  
Granger Causality Test ◽  
Causality Test ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Error Correction Mechanism

The inability of most developing economies to use monetary policy to engender real economic growth in their countries prompted the researchers to empirically assess the impact of monetary policy on economic growth in Nigeria between 1980 and 2014. The study employed an econometrics approach making use of the ADF unit root test, Johansen cointegration, Vector error correction model, Pairwise granger causality test and variance decomposition. The Vector Error Correction Mechanism result shows a positive short and long run relationship between both narrow money supply and broad money supply and economic growth in Nigeria with model strength of 75%. The Pairwise granger causality test shows a bi-directional causality between broad money supply and economic growth in Nigeria and was statistically significant at 5% level of confidence. Recommendations were for the government to use her contractionary monetary efforts and implement relevant policies to curtail the inverse effect of the persistent variation in the value of exchange rate, price level and interest rate in Nigeria and adequate regulation of the quantity of money in circulation to avoid hyperinflation and other unpredictable monetary volatilities.

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