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Determinants and Motivators of Dividend Policy: A Study of Cement Industry of Pakistan Islam, Talat; Aamir, Muhammad; Ahmad, Ashfaq; Saeed, Muhammad
Mediterranean Journal of Social Sciences Vol. 3 No. 2 (2012): May 2012
Publisher : Richtmann Publishing

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Abstract

Dividend is one of the most debatable topics for the researchers. Many researchers explore the factors of dividendpolicy. The aim of the study is to find out the factors that motivate the dividend policy among the cement industry. For thepurpose data of eight firms was collected from Karachi Stock exchange and State bank of Pakistan. SPSS 17 was used toanalyze the data and it was found that PE ratio, EPS growth and sale growth are positively associated with the dividend payoutwhile profitability and debt to equity were found to have negative association with dividend payout.
The Impact of Macroeconomic Variables on Stock Prices: An Empirical Analysis of Karachi Stock Exchange Hussain, Muhammad Mubashir; Aamir, Muhammad; Rasool, Nosheen; Fayyaz, Maleeha; Mumtaz, Maryam
Mediterranean Journal of Social Sciences Vol. 3 No. 3 (2012): September 2012
Publisher : Richtmann Publishing

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Abstract

The intention of this study was to investigate the causal relationship, both long-run and short-run, between KSE (Karachi StockExchange) and some macroeconomic variables in Pakistan. The monthly data of all macroeconomic variables and stock prices wastaken from January 2001 to December 2010. In this paper, the variables which have not been previously studied by the researchers inPakistan were also included. The set of macroeconomic variables used in this study as an independent variables were Exchange Rate(ER), Foreign Exchange Reserves (FER), Industrial Production Index (IPI), Interest Rate (IR), Imports (M), Money Supply (MS),Wholesale Price Index (WPI) and Exports (X). The stock price index of KSE, which is the largest stock exchange of Pakistan, was takenas a dependent variable. The statistical techniques, which were employed in this study, include the Augmented Dickey-Fuller (ADF) andKwiatkowski-Phillips-Schmidt-Shin (KPSS) unit root test, Johansen Co-integration test, Vector Error Correction Model (VECM) andGranger Causality test. The study revealed the presence of long-run association between macroeconomics variables and stock prices.FER, IR, M, MS and WPI showed a positive and significant relationship with stock prices, while ER and X indicated a negative andinsignificant impact on stock prices but IPI has a negative but significant relationship with stock prices. The two error correction terms likeVecm1 (-1) and Vecm2 (-1) were resulted from VECM, the first error correction term was significant and indicated short term adjustmentstowards the equilibrium path. The results of Granger Causality showed that MS and WPI have bi-directional relation while ER, FER andM have uni-directional relationship with the stock prices but IPI, IR and X showed not any casual relationship.
Stock Market Prices and Performance of Textile Industry of Pakistan in Last Five Years – An Evidence of EMH Aamir, Muhammad; Khan, Kanwal Iqbal; Rehan, Muhammad Farooq
Mediterranean Journal of Social Sciences Vol. 3 No. 3 (2012): September 2012
Publisher : Richtmann Publishing

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Abstract

This paper explains the performance of the textile sector and its impact on the market prices for the last five years. Textilesector is an important sector for the economy of Pakistan due to its employment potential, availability of raw material and foreignexchange earnings but this sector is not contributing its required role in the economy since the last five years. Why textile industry haslost its share in exports and fails to maintain its position in the economy. Reasons are discussed and explained by building the statisticalrelationship between the performance of the companies and their market prices. Although there are many internal and external factorsfor measuring the performance of the company, but in this research article only EPS (Earning per Share) and Book Value of shares aretaken as a performance measurement tools. The efficient market hypothesis is used as an evidence to explain the relationship betweenthe stock market prices and performance of the textile industry. The sample of twenty companies are taken from textile industry and byusing the SPSS software the relationship between the performance of the companies and their market prices are explained in themeaningful way. These results are helpful in explaining, how performance of the textile industry affects their market prices of shares inthe stock market.
An Efficient Unknown Detection Approach for RFID Data Stream Management System Yaacob, Siti Salwani; Mahdin, Hairulnizam; Wijayanto, Inung; Aamir, Muhammad; Jaya, M. Izham; Mohd Radzuan, Nabilah Filzah; Mubarak-Ali, Al-Fahim
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.2824

Abstract

The presence of unknown RFID tags can occur when new, unread tagged objects are introduced into the system, either accidentally or intentionally. Additionally, unknown tags can result from tag duplication errors, where multiple tags have the same identifier, or tag malfunctions, where a tag fails to transmit its identifier correctly. This research addresses the critical issue of detecting unknown tags, focusing on optimizing processing time and energy efficiency in terms of memory usage when detecting these tags. A novel algorithm called SWOR (Sliding Window XOR-based Detection) is introduced, specifically designed to identify unknown tags within RFID data streams. SWOR utilizes a sliding window mechanism combined with an XOR filter, enabling efficient detection of unknown tags while reducing unnecessary processing, which can lead to prolonged processing times, high memory consumption, and scalability issues. Experimental results demonstrate that SWOR decreases execution time by an average of 27% across various tests, outperforming existing approaches in terms of processing time for RFID event streams. The materials and methods employed include comprehensive simulations and real-world RFID data streams to validate the algorithm's effectiveness. This study highlights the potential for significant improvements in RFID system efficiency and paves the way for future research in optimizing RFID tag detection methodologies. The implications for further research include exploring the integration of SWOR with other RFID system components and examining its performance in diverse operational environments. This research contributes to the development of more robust and efficient RFID systems, thereby enhancing their reliability and scalability for various future applications.
Hybrid Generation Power System for Domestic Applications Ali, Qazi Waqar; Aamir, Muhammad; Nawaz, Arshad; Udin, Zaki; Ullah, Shahid
International Journal of Applied Power Engineering (IJAPE) Vol 3, No 2: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.288 KB) | DOI: 10.11591/ijape.v3.i2.pp82-89

Abstract

This work presents the plan and model of the control strategy for the interconnection of the hybrid energy system able to regulating this load’s voltage and controlling the energy generation with the energy options. The control strategy contains controlling the energy generated through each energy source, in a hierarchical mode using sliding/dropping mode control, while consuming consideration elements that have an impact on each electrical power source and transform the energy generated in order to suitable circumstances for lower power and domestic programs. The cross alternative energy system consists of photovoltaic cellular material, fuel cellular material and battery packs. A numerical equation in order to estimate the perfect voltage involving photovoltaic systems for virtually every solar irradiance and temperature circumstances is suggested. Simulations of a single or a lot more systems interconnected towards the load with the entire proposed control scheme, under different ecological and weight conditions, usually are introduced to indicate this efficiency with the procedure.
Implementation of Hybrid Generation Power System in Pakistan Ali, Qazi Waqar; Aamir, Muhammad; Nawaz, Arshad; Udin, Zaki; Ullah, Shahid
International Journal of Applied Power Engineering (IJAPE) Vol 3, No 2: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.261 KB) | DOI: 10.11591/ijape.v3.i2.pp75-81

Abstract

A solar-wind hybrid power generation system has been presented here. The application based system illustrated in this paper is designed on the basis of the solar and wind data for Pakistan. The power generated by the system is intended for domestic use. The most common source of unconventional power in homes is battery based UPS (Uninterrupted power supply) inverter. The UPS inverter charges the battery with conventional grid power. This system will charge the battery of UPS inverter by using only wind and solar power, which will make the system cost effective and more reliable. The reason for using both solar and wind is that recent studies have proven that combined system can be more productive and consistent and other thing is that neither of them can be used for continuous power generation. In the system illustrated in this paper the solar-wind system provides power periodically which is controlled by electronic methods and a microcontroller is used to monitor the power from both the inputs. The switching action is provided from the microcontroller to the battery charging based on the power received from solar photovoltaic panel and wind generators. In this paper, an efficient system has been presented comprising of solar panel, wind generator, charge controller and charge storage unit (battery). Solar panel is selected as the main input and the wind resource will be used only in the absence of the solar photovoltaic (PV) output.