scholarly journals Modeling the Clustering Volatility of India’s Wholesale Price Index and the Factors Affecting It

2016 ◽  
Vol 6 (1) ◽  
pp. 141
Author(s):  
Mohammad Naim Azimi
Keyword(s):  
Statistical Analysis ◽  
White Noise ◽  
Price Index ◽  
Wholesale Price ◽  
P Value ◽  
External Shocks ◽  
Factors Affecting ◽  
Arch Effect ◽  
A Value ◽  
Wholesale Price Index

<p>This paper proposes to examine the clustering volatility of India’s Wholesale Price Index throughout the period 1960 to 2014 by applying the ARCH (1) and GARCH (1) model. The pre-conditional requirement for the computation of ARCH (1, 1) required us to perform several other tests i.e. Dickey Fuller, Ordinary Least Squared Regression and post OLS tests for investigating the ARCH effect in the first difference of WPI. The statistical analysis reveals a <em>p-value</em> of 0.569 for the GARCH mean model which is not significant at ∂ 0.05 to explain that the previous period’s volatility can influence the WPI. The coefficient of WPI at first difference exhibits a value of less than 1 which is nice in magnitude with a <em>p</em>-value of 0.005 for ARCH at ∂ 0.05 which is significant to explain the volatility of the WPI. The diagnostic test of autocorrelation in the residuals reveals that the residuals are white noise by exhibiting a corresponding probability value of 0.3757. Since, the overarching objective of this paper is to examine the clustering volatility of the aforementioned variable with regards to the internal shocks, there might have been other factors of external shocks on WPI that have deliberately been overlooked in this paper.</p>

scholarly journals Efektivitas Kredibilitas Bank Sentral terhadap Inflasi bagi Produsen dan Konsumen di Indonesia

2020 ◽  
Vol 20 (2) ◽  
pp. 174-196
Author(s):  
Rakhmat Prabowo ◽  
Mohamad Ikhsan
Keyword(s):  
Central Bank ◽  
Method Of Moments ◽  
Price Index ◽  
Generalized Method Of Moments ◽  
Wholesale Price ◽  
Producer Price ◽  
Core Inflation ◽  
Wholesale Price Index ◽  
The Impact ◽  
Central Bank Credibility

This study is intended to explain the impact of central bank credibility on inflation in Indonesia at the producer and consumer level. In this study, Central Bank Credibility is measured using an index with values between 0 (zero credibility) and 1 (perfect credibility). Generalized Method of Moments (GMM) method is used to analyze the impact of central bank credibility on inflation. Based on the results, central bank credibility can reduce inflation on both producer and consumer price. Central bank credibility is more sensitive towards producer price index compared to Gross Domestic Product (GDP) deflator and wholesale price index while at the consumer level, central bank credibility is more sensitive towards core inflation compared to headline inflation. -------------------------------------- Penelitian ini menjelaskan dampak kredibilitas Bank Sentral terhadap inflasi di Indonesia. Dampak kredibilitas Bank Sentral dianalisis pada tingkat produsen maupun konsumen. Untuk mengukur kredibilitas Bank Sentral, penelitian ini menggunakan indeks kredibilitas bernilai 0 (zero credibility) hingga 1 (perfect credibility). Metode Generalized Method of Moments (GMM) digunakan untuk menganalisis dampak kredibilitas Bank Sentral terhadap inflasi. Berdasarkan hasil empiris, kredibilitas Bank Sentral cenderung lebih memengaruhi inflasi pada Indeks Harga Produsen (IHP) dibandingkan Indeks Harga Perdagangan Besar (IHPB) dan deflator Produk Domestik Bruto (PDB). Kredibilitas Bank Sentral lebih memengaruhi inflasi inti dibandingkan dengan inflasi umum. Dari hasil empiris diketahui bahwa kredibilitas Bank Sentral lebih memengaruhi inflasi pada sisi produsen dibandingkan konsumen.

scholarly journals ESTIMATION OF LONG-RUN RELATIONSHIP OF INFLATION (CPI & WPI), AND OIL PRICES WITH KSE-100 INDEX: EVIDENCE FROM JOHANSEN MULTIVARIATE COINTEGRATION APPROACH

2017 ◽  
Vol 23 (4) ◽  
pp. 567-588 ◽  
Author(s):  
Rizwan RAHEEM AHMED ◽  
Jolita VVEINHARDT ◽  
Dalia ŠTREIMIKIENĖ ◽  
Saghir Pervaiz GHAURI ◽  
Nawaz AHMAD
Keyword(s):  
Crude Oil ◽  
Price Index ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
Impulse Response Function ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Long Run ◽  
Wholesale Price Index ◽  
Relationship Of

This research is an attempt to framework the applied strides to evaluate the long run relationship among commonly used inflation proxies induces such as, wholesale price index (WPI) and consumer price index (CPI), and crude oil price (COP) with KSE100 index returns. In this research we used monthly data for the time period from July 1995 to June 2016, and thus, in this way total 252 observations have been considered. Time series have been made stationary by applying ADF and PP tests at first difference. Johansen multivariate conintegration approach was used to test the long-term association amongst the considered macroeconomic variables. The results indicated that CPI and COP significantly affect KSE100 index returns that indicated CPI along with COP have foreseen power to impact KSE100 index. In contrary, the results of WPI and COP do not have long run relationship with KSE100 index in case of Pakistani economy. Results of variance decomposition exhibited that the index of LKSE100 was realistically rarer exogenous in connection to distinctive factors, as around 92.31% of its variation was explained due to its own specific shocks. It is concluded that CPI and COP can impact the KSE100 index returns. It is confirmed by the results of impulse response function that there is a positive and long run relationship between KSE100 returns and consumer price index (proxy of inflation) and international crude oil prices.

scholarly journals VOLATILITAS HARGA SAHAM DI INDONESIA DAN MALAYSIA

2016 ◽  
Vol 1 (2) ◽  
pp. 109
Author(s):  
Andi Kartika
Keyword(s):  
Financial Market ◽  
Capital Market ◽  
Price Index ◽  
Research Use ◽  
Stock Performance ◽  
Arch Effect ◽  
A Value ◽  
High Return ◽  
Time Price ◽  
Research Show

<p>Disintermediatior phenomena in financial market show that many people tend to invest in capital market more than in banking. That’s happened, because of the return on stock is profitable than banking interest rate. But, there is a big risk in capital market. It’s natural, financial market say that high risk high return, low risk low return. So, if we do not want to loss, we must have ability to analyse stock performance, pecially volatility of stock. This research use to ARCH/GARCH Model<br />to estimation of volatility. The research show that stock growth in 2007 – 2009 tend to decrease for all index (JSX and KLCI). JSX and KLCI just have ARCH effect, so the index influence volatility this time price index. The research show too, that á value e” 0,7 and sum of á and â almost one for all index (JSX and KLCI). That are means, the volatility shock are persistent or the volatility are high and persistent.</p>

Forest Practices Cost Trends in the South

1982 ◽  
Vol 6 (3) ◽  
pp. 130-132 ◽  
Author(s):  
James E. Moak
Keyword(s):  
Price Index ◽  
Wholesale Price ◽  
Site Preparation ◽  
The South ◽  
Mechanical Site Preparation ◽  
Wholesale Price Index ◽  
Forest Practices

Abstract During the period 1952-1979, trends of nine forest practices cost increases have ranged from 6.55 percent annually for planting by hand to 11.19 percent annually for mechanical site preparation in the South. These figures represent an increase over the wholesale price index of 3.21 percent annually for planting by hand and 7.70 percent for mechanical site preparation.

scholarly journals ANALISIS PEMBIAYAAN DAN KREDIT SEKTOR KONSTRUKSI DI INDONESIA: STUDI PERBANKAN SYARIAH DAN KONVENSIONAL

2018 ◽  
Vol 6 (1) ◽  
pp. 21-40
Author(s):  
Nidaa Nazaahah Kusumawati ◽  
Nunung Nuryartono ◽  
Irfan Syauqi Beik
Keyword(s):  
Panel Data ◽  
Interest Rate ◽  
Price Index ◽  
Panel Data Analysis ◽  
Wholesale Price ◽  
Third Party ◽  
Construction Sector ◽  
Factors Affecting ◽  
Study Results ◽  
Regional Product

The construction sector is an important sector in supporting development projects in Indonesia. The development of the construction sector requires the role of the banking sector to provide access of capital through credit or financing. This study aims to analyze the factors affecting construction financing and credit in Islamic and Conventional Banking in Indonesia and among regions in Indonesia. This study uses Vector Autoregression/ Vector Error Correction Model (VAR/VECM) with monthly data from 2006 until 2014 and panel data analysis with yearly data from 2009 until 2013. The study results that the factors affecting financing and credit on Construction Sector in Indonesia are Third Party Funds (DPK), Wholesale price index, fee of SBIS (interest rate of SBI), percentage of Non Performing Financing (Non Performing Loan), Consumer Price Index and equivalent rate of financing (Interest rate of Credit). Furthermore, the factors affecting financing and credit on Construction Sector among regions in Indonesia are Third Party Funds, Gross Domestic Regional Product of Construction Sector, Gross Domestic Regional Product per Capita and percentage of Non Performing Financing (Non Perfoming Loan). Keywords: Construction, Credit, Financing, Panel data, VAR/VECM

scholarly journals Factors Affecting Immigrant Patients Against Utilization of Health Services at Tamalanrea Health Center

2019 ◽  
pp. 188-199
Author(s):  
Nurul Qalbi R ◽  
Prof Indar ◽  
Prof Rahmatiah
Keyword(s):  
Health Services ◽  
Health Center ◽  
Health Workers ◽  
Good Health ◽  
Bivariate Analysis ◽  
P Value ◽  
Factors Affecting ◽  
Utilization Of Health Services ◽  
A Value

Good health care is a community need and is often a measure of development success. The utilization of health service units is still relatively low, although the Puskesmas continue to try to bring health services closer to immigrants. This shows that the lack of confidence of immigrant patients in the health services provided by health workers so that immigrant patients prefer to be referred and continue treatment at the hospital. The purpose of this study is to analyze the factors that influence immigrant patients on the utilization of health services. This research was conducted at Tamalanrea Public Health Center in Makassar City from July-August 2019. The population in this study was 154 people based on data in Tamalanrea Health Center in the last 6 months while the sample in this study was 59 people. Analysis of the data used in this study includes univariate and bivariate analysis stages using multiple regression tests using SPSS version 10. The results of this study indicate that (1) Age has no influence on the utilization of health services, gender has an influence on the utilization of health services in Tamalanrea Health Center ; (2) There is an influence of facilities, and trust in the use of health services with the respective p-value: facilities p = 0.015 and trust p = 0.004. While knowledge has a value of p = 0.665 so that it does not influence the utilization of health services at the Tamalanrea Health Center. The important role of the immigration detection house agency is to help promote and convince immigrants or foreign refugees that first-rate health services can provide the best health services and cure their sickness.

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