|Journal of Contemporary Issues in Business Research ISSN 2305-8277|
Author(s): Inderpreet Kular 1, and Sukhdev Singh 2
Abstract: The main objective of this paper is to examine the consumer purchase behavior with the help of consumer awareness towards Processed Cereal Food Products in Punjab. Research was carried out in three cities (Ludhiana, Jalandhar and Amritsar) of Punjab. A sample of 300 respondents was taken and analyzed with the help of SPSS and One-sample t test, ANOVA, Chi-square test, Regression through SPSS software. Research revealed that cereal food is majorly consumed for the breakfast. Secondly it was found that people with higher income consume more Processed Cereal Food than people with middle income or lower income.p>
Keywords: Demographics; Processed Cereal Food; PUNJAB; Purchase Behavior; One-sample t test; ANOVA; Chi-square test.
- Punjab Technical University, Punjab1
- Guru Nanak Dev Engineering College, Ludhiana2
Author(s): Nadia Belkhir Boujelbéne
Abstract: In this paper, we present an original essay that aims to discuss the relationship between return on equity and illiquidity in some selected firms in Tunisian Stock Exchange. We concentrate especially on the effect of the impact of cost liquidity on firm performance. The result of the survey indicates that there is a positive relationship between firms’ performance and illiquidity. In other words, firms’ performance includes an illiquidity premium which compensates the transaction costs borne by the investors in the market.
Keywords: Firm performance, Illiquidity, Return on equity; Cost Liquidity; Tunisian stock exchange.
- Research Unit Corporate Finance Financial Theory – COFFIT, University of Sfax, Tunisia
Author(s): Maniha Zakai
Abstract: The gross domestic product (GDP), an essential gauge of an economy's economic presentation, is the market assessment of all final services and goods produced in the boundaries of a nation in a year. Within this paper, the features of annual data of Pakistan’s GDP acquired from International Monetary Fund (IMF) starting from 1953 to 2012 are studied. To model the GDP, a set of Autoregressive integrated Moving Average (ARIMA) models are constructed following Box-Jenkins technique. ARIMA (1,1,0) has been obtained through expert modeler method by considering best fit model. Finally, forecast values for a few coming year have been generated applying the best fitted ARIMA model. The finding shows that the forecast values of Pakistan’s GDP will be 23477Billion rupees in 2013 and 103918 billion rupees in 2025.
Keywords: ARIMA model; GDP; Pakistan; Time series modeling.
- University of Central Punjab