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.

scholarly journals Test FOR Dynamic Relationship between Financial Development and Economic Growth in Malaysia: A Vector Error Correction Modeling Approach

2007 ◽  
Vol 9 (1) ◽  
pp. 61 ◽  
Author(s):  
Rosilawati Amiruddin ◽  
Abu Hassan Shaari Mohd Nor ◽  
Ismadi Ismail
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Financial Development ◽  
Impulse Response Function ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Dynamic Relationship ◽  
Vector Error ◽  
Error Correction Modeling

This paper purports to study the effectiveness of financial development to Malaysian economic growth utilizing quarterly data. In view of the priority given to dynamic relationship in conducting this study, Vector Autoregressive (VAR) method which encompasses Johansen-Juselius’ Multivariate cointegration, Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Variance Decomposition (VDC) are used as empirical evidence. The result reveals a short-term and long-term dynamic relationship between financial development and economic growth. The importance of financial sector in influencing the economic activity is proven as a clear policy implication.

scholarly journals On One Co-Integration Issue of Trade Links of Azerbaijan, Russia, Belarus and Kazakhstan

2020 ◽  
Vol 17 (2) ◽  
pp. 29-39
Author(s):  
E. G. Orudzhev ◽  
S. M. Huseynova
Keyword(s):  
Time Series ◽  
Error Correction ◽  
Stationary Time Series ◽  
Vector Model ◽  
Microsoft Excel ◽  
Vector Error Correction ◽  
Vector Error ◽  
Equilibrium Relationship ◽  
Foreign Trade Turnover

This article, based on annual data from 1994 to 2018, considers trade and economic processes between Azerbaijan, Russia, Belarus and Kazakhstan through the GDP integration indicators of Azerbaijan and foreign trade turnover with these countries.The purpose of the research. The purpose of the study is to find cointegration relationships between the studied macroeconomic indicators and correct application of the vector model of error correction to describe the equilibrium relationship between the considered data of intercountry interaction and to develop sound economically informative recommendations in the sphere of intercountry trade and economic interaction.Materials and methodology. Official statistics of the State Statistics Committee of Azerbaijan, scientific works of scientists-economists on the inter-country integration processes in the post-soviet region are used. Statistical methods of information processing are applied in relation to the empirical analysis of non-stationary time series of the studied statistical data, and correctly tested modern econometric methods and all the necessary econometric testing procedures are used to build co-integration relations and the vector model of error correction taking into account the effects of external shocks. All the calculations are made in Microsoft Excel and Eviews 8 application software packages.Results. The properties of applying the econometric methodology of studying the statistical relationship between multidimensional nonstationary time series are investigated. For this data, the authors' approach is to use the co-integration tool and the mechanism of vector error correction, which are practically not applicable by economists in Azerbaijan to date. A new specification of the model with respect to the logarithms of the source variables is defined. Based on the minimization of the mean square error, estimates of the model parameters are found. The Granger connection causality is investigated. The Johansen tests are implemented to find the cointegration area, after which the vector error correction model is built, which describes the long-term equilibrium relationship between the studied indicators and the path of returning to the equilibrium trajectory if it deviates from it. When modeling, we used all the necessary statistical procedures required to identify and evaluate the parameters of the model and verify its adequacy and the accuracy of short-term and long-term forecast values by applying Microsoft Excel and Eviews 8 tools.Conclusion. As a result of the study, econometrically sound recommendations are developed, which allow to conduct dynamic analyzes for effective state regulation of export-import operations between the four countries in order to balance the trade and improve the relevant inclusive parameters of the long-term sustainable development of these states.

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 Kondisi makroekonomi dan kinerja perbankan di Indonesia

2021 ◽  
Vol 16 (1) ◽  
pp. 11-28
Author(s):  
Irma Febriana Mk ◽  
Nurbetty Herlina Sitorus ◽  
Rizka Malia
Keyword(s):  
Error Correction ◽  
Industrial Production ◽  
Negative Relationship ◽  
Short Term ◽  
Vector Error Correction ◽  
Production Index ◽  
Vector Error ◽  
Industrial Production Index ◽  
Significant Negative Relationship

The purpose of this study was to see how the long-term and short-term relationship between banking performance and macroeconomic variables. The analysis method used is the vector error correction model (VECM) with the variables ROA, BOPO, LDR, industrial production index, CPI, and BI rate. The results of this study indicate that there is a significant positive relationship between ROA and industrial production index in the long run and a significant negative relationship between ROA and CPI in the long and short term. There is a significant negative relationship between BOPO and the industrial production index in the long and short term. LDR has a significant negative relationship with all macro variables in the long term whereas, in the short term, LDR has a significant negative relationship with the CPI.  Keywords: Banking performance, Macroeconomic, Vector error correction models

scholarly journals Bank Syariah di Indonesia: Analisis Pengaruh Rata-Rata Tingkat Bagi Hasil Deposito dan Rata-Rata Tingkat Suku Bunga Deposito Terhadap Jumlah Deposito dan Jumlah Nasabah Deposito Periode 2009-2014

2017 ◽  
Vol 4 (2) ◽  
pp. 89
Author(s):  
Aprilia Pratiwi ◽  
Noven Suprayogi
Keyword(s):  
Error Correction ◽  
Analytical Techniques ◽  
Return Level ◽  
Islamic Banking ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Independent Variable

This research aimed to determine the average profit-loss sharing level of deposit and the return level of deposit affect to total deposit and the quantity of Islamic banking customer in Indonesia, in time year 2009 until year 2014. The approach is a quantitative approach using VECM (Vector Error Correction Model) analytical techniques, to determine the effect of independent variable to dependent variable. The independent variable of this research is the average profit-loss sharing level of Islamic banking and the return level of deposit in conventional banking. While the dependent variable of this research is the total deposit and the quantity of Islamic banking customer in Indonesia. The result of this research showed that independent variable has a significant effect to total deposit in a long term, both simultaneous and partial. While in the quantity of customer, independent variable has no significant effect, both simultaneous and partial in a long term.

Optimal Hedge Ratio for Brent Oil Market; Baysian Approach

2014 ◽  
Vol 37 ◽  
pp. 82-87
Author(s):  
Mohsen Mehrara ◽  
Monire Hamldar
Keyword(s):  
Error Correction ◽  
Oil Futures ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Oil Market ◽  
Vector Error ◽  
Hedging Ratio ◽  
Daily Data ◽  
Crude Oil Futures ◽  
Optimal Hedge

This paper examines the optimal hedging ratio (OHR) for the Brent Crude Oil Futures using daily data over the period 1990/17/8-2014/11/3. To gain OHR, it is employed a Vector Autoregressive (VAR) and Vector Error Correction (VEC) and Baysian Vector Autoregressive (BVAR) models. At last, the efficiency of these calculated OHR are compared through Edrington's index.

scholarly journals Analysis of Stock Market Integration Among ASEAN Countries by Using Vector Error Correction Model (VECM) Approach

2020 ◽  
Author(s):  
Reni Lestari
Keyword(s):  
Stock Market ◽  
Error Correction ◽  
Stock Exchange ◽  
Error Correction Model ◽  
Stock Index ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error

Globalization has driven the economy of countries to relate to each other. It brings relationships in the capital among countries in the world, especially in ASEAN region countries. This study aimed to analyze the integration of the stock market among countries in the ASEAN region. The stock market was analyzed are the Indonesia Stock Exchange, Malaysia Stock Exchange, Singapore Stock Exchange, Thailand Stock Exchange, Vietnam Stock Exchange, and Philippine Stock Exchange. This study using the Vector Error Correction Model (VECM) as the method. The result of this study shows that, in the long term Singapore Stock Index (STI), Malaysia Stock Index (KLSE), Philippines (PSEi), and Indonesia Stock Index (JKSE) are positively correlated. This means the change of stock index price in one country will affect other related countries in the long term. In the short term of VECM estimation, found the Vietnam Stock Index (VNI), Singapore Stock Exchange (STI), Philippine (PSEi) are positively correlated and negatively correlated with Thailand Stock Exchange (SET). For the managerial implication, the result of this study is expected as a reference or basis of consideration of investment decisions. This because long-term stock market movements are important because they impact international portfolio management and risk diversification.

scholarly journals ANALISIS INTEGRASI SAHAM SYARIAH DI ASIA dengan SAHAM SYARIAH DI INDONESIA

2021 ◽  
Vol 2 (1) ◽  
pp. 1-37
Author(s):  
Penny Rahmah Fadhilah
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Variance Decomposition ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Vector Error

Perkembangan pasar modal syariah di Indonesia tidak lepas dari pengaruh pasar modal luar negeri terutama di Asia.  Faktor tersebut merupakan salah satu implikasi dari bentuk globalisasi yang dapat mendorong kemajuan teknologi sehingga perekonomian dunia semakin terbuka. Negara-negara yang termasuk dalm penelitian ini adalah Jepang, Malaysia, China, dan Indonesia. Penelitian ini menggunakan metode Vector Autoregressive (VAR)/ Vector Error Correction Model (VECM) dengan menggunakan data bulanan sejak September 2011 hingga Januari 2017.Hasil penelitian menunjukkan bahwa terdapat hubungan kausalitas antara bursa saham syariah di Asia dengan bursa saham syariah di Indonesia. Kemudian berdasarkan hubungan kointegrasi, terdapat hubungan jangka panjang antara DJIGRC dengan ISSI. Selain itu, berdasarkan analisis Variance Decomposition (VD) didapatkan hasil bahwa ISSI memberikan kontribusi terbesar pada pergerakan DJIMY. Sedangkan penyumbang kontribusi terbesar terhadap pergerakan bursa saham ISSI adalah DJIGRC.

scholarly journals Analisis Kredit UMKM di Provinsi Aceh: Analisis Empiris Vector Error Correction Model (VECM)

2020 ◽  
Vol 4 (1) ◽  
pp. 59
Author(s):  
Hamdani Hamdani ◽  
Ismail Ismail ◽  
Thasrif Murhadi
Keyword(s):  
Interest Rates ◽  
Error Correction ◽  
Error Correction Model ◽  
Domestic Product ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Aceh Province

The purpose of this study was to determine the effect of regional gross domestic product, non-performing loans, and loan interest rates on credit absorption by SMEs in Aceh province in the long term. The data used is secondary data in the form of a quarter 1st quarter 1995 to third quarter 2015. The model used in this study is a model of Vector Error Correction Model (VECM) to find out the results of short-term estimates, and using Johansen cointegration test to determine the relationship long-term between variables. The data used in this study has been tested with Augmented Dickey Fuller (ADF) to determine the stationary data. Based on this study it was found that in the long term there is a cointegration relationship between the variables studied. In the short term, the variables affecting the gross regional domestic product and has a one-way relationship with SME loans while variable interest rates have a causal relationship with SME loans in Aceh province, while the NPL variable does not have a causal relationship with SME loans. Keywords: SME Loans, Gross Domestic Product, Non Performimg Loan, Interest Rates, Vector Error Correction Model (VECM).

Sign in / Sign up

Export Citation Format

Share Document