scholarly journals Dividend Smoothing & Implications of Lintner Model–A Study of Indian Consumer Goods Sector using Panel Data

2018 ◽  
Vol 5 (2(1)) ◽  
pp. 87
Author(s):  
Rane Anjali ◽  
Guntur Anjana Raju
Keyword(s):  
Panel Data ◽  
Consumer Goods ◽  
Dividend Smoothing ◽  
Indian Consumer

Effect of Director’s Tunneling on Assets Utilization: Evidence from Corporate Organizations in Nigeria

2019 ◽  
pp. 1-9
Author(s):  
Nwaorgu, Innocent Augustine ◽  
O. Odesa, Jeff ◽  
N. Nzoegbu, Jennifer
Keyword(s):  
Panel Data ◽  
Correlation Analysis ◽  
Multiple Regression ◽  
Research Design ◽  
Consumer Goods ◽  
Descriptive Statistics ◽  
Financial Report ◽  
Ex Post ◽  
Ex Post Facto ◽  
Equity Holding

This study evaluates the effect of director’s tunnelling on asset utilization of companies in consumer goods sector in Nigeria using a panel data collected from annual financial report of thirty listed consumer goods firm in Nigeria between 2011 and 2016. The study was based on ex-post-facto research design and the data collected were analysed using descriptive statistics, correlation analysis and multiple regression. The study finds that the director’s pay and equity holding varies widely among consumer goods firms. Chairman’s pay and director’s equity holding have a statistically significant effect on asset utilization at 5% level. While the director’s pay policy has no statistically significant effect on asset utilization. The finding shows pay, chairman’s pay and director’s equity holding are three major avenues used for tunnelling as they have a significant effect on tunnelling. The study recommends that policymaker should formulate a policy that will reduce the tunnelling tendency of directors and board chairman.

scholarly journals Penggerombolan Data Panel Perusahaan Sektor Barang Konsumsi

2020 ◽  
Vol 9 (1) ◽  
pp. 38-50
Author(s):  
Radinda Putri Maha Dewi ◽  
Pika Silvianti ◽  
Septian Rahardiantoro
Keyword(s):  
Panel Data ◽  
Consumer Goods ◽  
Production Costs ◽  
Marketing Management ◽  
Distribution Costs ◽  
Management Factors ◽  
Group 5 ◽  
Cluster 2 ◽  
Ward Method ◽  
Group 1

The identification of the cluster of consumer goods sector companies is enough important study to examine the characteristics of the company based on its marketing management factors. This study seeks to cluster 23 consumer goods sector companies based on 4 marketing management factors, which are production costs, promotion costs, distribution costs, and sales value in 2012-2016. There are two parts of clustering that are carried out, the clustering of consumer goods sector companies based on the time series pattern for each marketing management factor with the ward method, and clustering of consumer goods sector companies using multivariate panel data using the k-means method. The results of the clustering for each marketing management factor using the ward method produced 2 groups in each factor, with cluster 2 having an average of each factor greater than group 1. The companies found in cluster 2 were PT Indofood CBP Sukses Makmur, PT Indofood Sukses Makmur, PT Mayora Indah, PT Unilever Indonesia Tbk, PT Handjaya Mandala Sampoerna Tbk, International Investama Tbk, PT Kalbe Farma Tbk, and PT Tempo Scan Pacific Tbk. On the other hand, clustering of multivariate panel data produced 6 groups where group 5  is the cluster with the highest average on each factor. Group 5 consists of PT Indofood Sukses Makmur and PT Handjaya Mandala Sampoerna Tbk. The company with the highest value in multivariate panel data is also found in the results of the cluster with the highest value for each marketing management factor.

scholarly journals Dinamika Bisnis Selama Pandemi Covid-19 pada Tingkat Likuiditas Perusahaan Pertanian dan Consumer Goods di Indonesia

2021 ◽  
Vol 4 (1) ◽  
pp. 97-120
Author(s):  
Arsheila Primadita ◽  
Nadia Asandimitra Haryono
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Firm Size ◽  
Consumer Goods ◽  
Debt Ratio ◽  
Working Capital ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Data Regression ◽  
Inventory Turnover

The purpose of this research is to empirically prove the effect of firm size, receivable turnover, debt ratio, inventory turnover, and working capital turnover on liquidity as well as changes during the covid-19 pandemic. The object of this research is taken from the agricultural sector and consumer goods which enlisted on IDX period quarterly IV 2019, quarterly I-II 2020. This type of research is quantitative and used secondary data which consists of a quarterly financial report on IDX. The samples are obtained by using the purposive sampling method and produced 75 samples of industry. The research uses the panel data regression analysis method. Based on the result of panel data regression analysis indicated that only the debt ratio has a negative significant relation to liquidity. Firm size, receivable turnover, inventory turnover and working capital turnover aren’t significant because increase or decrease in these variables do not affect the level of liquidity. During the covid-19 pandemic, there was no change in the relationship between each independent variable on liquidity.Tujuan dari penelitian ini adalah untuk membuktikan secara empiris pengaruh ukuran perusahaan, perputaran piutang, rasio hutang, perputaran persediaan, dan perputaran modal kerja terhadap likuiditas serta perubahan selama pandemi covid-19. Objek penelitian ini diambil dari sektor pertanian dan consumer goods yang terdaftar di BEI periode triwulan IV 2019 sampai dengan triwulan I-II 2020. Jenis penelitian ini adalah kuantitatif dan menggunakan data sekunder yang terdiri dari laporan keuangan triwulanan di BEI. Pengambilan sampel dilakukan dengan menggunakan metode purposive sampling dan menghasilkan 75 sampel perusahaan. Metode yang digunakan dalam penelitian ini adalah metode analisis regresi data panel. Hasil analisis menunjukkan bahwa hanya rasio hutang yang berpengaruh signifikan negatif terhadap likuiditas. Ukuran perusahaan, perputaran piutang, perputaran persediaan dan perputaran modal kerja tidak signifikan karena kenaikan atau penurunan variabel tersebut tidak mempengaruhi tingkat likuiditas. Selama pandemi Covid-19, tidak ada perubahan hubungan antara masing-masing variabel independen terhadap likuiditas.

scholarly journals Impact on Taxation in Indian Consumer Goods Sectors during Covid-19

IARJSET ◽  
2021 ◽  
Vol 8 (10) ◽  
Author(s):  
Pooja Jain ◽  
Dr Keerti Jain
Keyword(s):  
Consumer Goods ◽  
Indian Consumer

scholarly journals The Effect Of Finding Decision , Profitabilityand Dividend Policy To Firm Value Of Consumer Goods Industry At Indonesia Stock Exchange In The Period Of 2012-2016

2019 ◽  
Vol 28 (01) ◽  
pp. 28-43
Author(s):  
Dwi Nur Sahid ◽  
Lis Zulifiati
Keyword(s):  
Panel Data ◽  
Consumer Goods ◽  
Firm Value ◽  
Dividend Policy ◽  
Regression Coefficient ◽  
Stock Exchange ◽  
Estimation Method ◽  
Sampling Technique ◽  
Funding Decision ◽  
Consumer Goods Industry

The purpose of this research is to determine whether the  Funding Decision, Profitability Ratio, and Dividend Policy both individually and simultaneously affect significantly the firm value of the consumer goods industry in the Indonesia Stock Exchange (BEI) period 2012-2016.Funding Decision is represented by using  Debt to Equity Ratio (DER), Profitability is represented by using Return On Equity (ROE), Dividend Policy is represented by using Devidend PayOut Ratio (DPR). By using purposive sampling technique, the sample used in this study amounted to 100 companies from the population of 20 companies and the period of research are 5 years. This causal-comparative research uses panel data with secondary data that collected by using documenting and archiving techniques from Indonesian Capital Market Electronic Library. Multiple regression estimation method from panel data used in this research is Fixed Effect Model. This research shows that Funding Decision (regression coefficient 5,419856), Profitability (regression coefficient -11,14584), and Devidend Policy (regression coefficient 0,468592) individually and silmutaneously affect the stock return of the consumer goods industry sector in the period of 2012-2016 significantly, with the value of Adjusted R2 is 0,940623.

scholarly journals PENGARUH PROFITABILITAS, LIKUIDITAS, HUTANG DAN UKURAN PERUSAHAAN TERHADAP DIVIDEND PAYOUT RATIO

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Regina Fricilya D. Yasmin ◽  
Gendro Wiyono ◽  
Ratih Kusumawardhani
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cash Flow ◽  
Firm Size ◽  
Consumer Goods ◽  
Stock Exchange ◽  
Time Series Regression ◽  
Dividend Payout ◽  
Independent Variables ◽  
Industry Sector

The aim of this paper was to examined the influence of profitability, cash flow, liquidity, leverage and firm size towards dividend payout ratio. The sample includes 11 manufactur companis in consumer goods industry sector listed in Inodnesia Stock Exchange (IDX) on the year period 2016-2019. We use time series regression (panel data) to test the hypothesis of this study. The results shows that independent variables of profitability, liquidity, and leverage have positive and significant impact in dividend payout ratio; whereas, the independent variables of cash flow and firm size have negative and significant impact on dividend payout ratio.Kata Kunci : Dividend Payout Ratio, Profitabilitas, Likuiditas, Hutang, Ukuran Perusahaan

A Case Study on IPR Infringement from Indian Consumer Goods Sector

2012 ◽  
Vol 2 (10) ◽  
pp. 1-2 ◽  
Author(s):  
Suvrashis Sarkar ◽  
◽  
Dr. Stephen D’Silva
Keyword(s):  
Consumer Goods ◽  
Indian Consumer

scholarly journals TOWARDS A DYNAMIC ANALYSIS OF MULTIPLE-STORE SHOPPING: EVIDENCE FROM SPANISH PANEL DATA

2013 ◽  
Vol 14 (1) ◽  
pp. 182-199
Author(s):  
Noemí Martínez-Caraballo ◽  
Manuel Salvador ◽  
Carmen Berné ◽  
Pilar Gargallo
Keyword(s):  
Panel Data ◽  
Dynamic Analysis ◽  
Consumer Goods ◽  
Fast Moving ◽  
Tobit Model ◽  
Sample Period ◽  
Consumer Panel ◽  
Fast Moving Consumer Goods ◽  
Over Time ◽  
Nielsen Homescan

This paper aims to determine why consumer purchasing of fast moving consumer goods varies over time in Spain. More specifically, our objective is to explain multiple-store shopping in the households belonging to the Spanish Nielsen Homescan consumer panel that provides information about household shopping decisions between April 2003 and April 2004. In order to achieve this purpose, a Bayesian Dynamic Tobit model is used. The results allow us to confirm the influence of several demographical and geographical variables on household multiple-store shopping during the sample period.

Impact of Advertising Intensity on Market Risk of a Firm: A Study on the Indian Consumer Goods Sector

2019 ◽  
Vol 21 (6) ◽  
pp. 1376-1386
Author(s):  
Shalini Nath Tripathi ◽  
Dheeraj Misra ◽  
Masood Siddiqui
Keyword(s):  
Regression Analysis ◽  
Consumer Goods ◽  
Stock Exchange ◽  
Market Risk ◽  
Significant Determinant ◽  
Advertising Intensity ◽  
Fast Moving Consumer Goods ◽  
Consumer Durable ◽  
Indian Consumer ◽  
The Impact

The objective of this article is to assess the impact of advertising intensity of a firm on its market risk or beta in the Indian consumer goods sector. Our sample companies are part of four sectoral indices of Bombay Stock Exchange, namely, fast-moving consumer goods (FMCG), consumer durable, auto and telecom indices. Pooled regression analysis is deployed to assess the impact of advertising intensity on market risk. The results reveal that advertising intensity is a significant determinant of market risk, and that beta or market risk of a firm varies inversely with its advertising intensity with reference to the Indian consumer goods sector.

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