scholarly journals A Review of Post Privatization Performance of Ashaka Cement Manufacturing Company Nigeria PLC through the use of Financial Ratios

2012 ◽  
Vol 3 (12) ◽  
pp. 382-388
Author(s):  
Abubakar Muhammed Magaji
Keyword(s):  
Capital Investment ◽  
Time Series Data ◽  
Technical Committee ◽  
Series Data ◽  
Company Performance ◽  
Public Enterprises ◽  
Formal Sector ◽  
Set Up ◽  
Cement Manufacturing ◽  
Fixed Capital Investment

Privatization as a reform policy package has been adopted by both developed and developing countries’ economies. Nigeria as a developing country has large public enterprises which has about 57 percent of fixed capital investment and about 66 percent of formal sector employment by 1997. These enterprises performed below expectation due to multiple problems. Technical Committee on Privatization and Commercialization (TCPC) was set up to privatize the enterprises and the privatization have since commenced. The paper reviewed Ashaka cement company performance as a privatized enterprise after privatization. Managers of business organization must have reliable analytical tools for taking a rational decision. Ratio is one of such tools. Time series data from Ashaka Cement Company was used. The performance of the company has improved after privatization.

The Comparison of Land Subsidence between East and West Side of Bangkok, Thailand

2020 ◽  
Vol 17 (3) ◽  
pp. 1
Author(s):  
Angkana Pumpuang ◽  
Anuphao Aobpaet
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Time Series Data ◽  
Series Data ◽  
Industrial Estates ◽  
Vertical Displacements ◽  
Land Deformation ◽  
Extensive Farming ◽  
Chao Phraya River ◽  
Set Up

The land deformation in line of sight (LOS) direction can be measured using time series InSAR. InSAR can successfully measure land subsidence based on LOS in many big cities, including the eastern and western regions of Bangkok which is separated by Chao Phraya River. There are differences in prosperity between both sides due to human activities, land use, and land cover. This study focuses on the land subsidence difference between the western and eastern regions of Bangkok and the most possible cause affecting the land subsidence rates. The Radarsat-2 single look complex (SLC) was used to set up the time series data for long term monitoring. To generate interferograms, StaMPS for Time Series InSAR processing was applied by using the PSI algorithm in DORIS software. It was found that the subsidence was more to the eastern regions of Bangkok where the vertical displacements were +0.461 millimetres and -0.919 millimetres on the western and the eastern side respectively. The districts of Nong Chok, Lat Krabang, and Khlong Samwa have the most extensive farming area in eastern Bangkok. Besides, there were also three major industrial estates located in eastern Bangkok like Lat Krabang, Anya Thani and Bang Chan Industrial Estate. By the assumption of water demand, there were forty-eight wells and three wells found in the eastern and western part respectively. The number of groundwater wells shows that eastern Bangkok has the demand for water over the west, and the pumping of groundwater is a significant factor that causes land subsidence in the area.Keywords: Subsidence, InSAR, Radarsat-2, Bangkok

scholarly journals ANALISIS DETERMINASI PERTUMBUHAN EKONOMI PROVINSI JAMBI

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Ali Fahmi
Keyword(s):  
Economic Growth ◽  
Government Spending ◽  
Capital Investment ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Investment Capital

This research aims to analyze the effect of government spending, investment of foreign capital investment, capital investment In Land and labor against growth of Jambi province during the 2004-2015. This research using Time Series data with regression analysis "Ordinary Least Square (OLS) wear EViews 8.  The findings from this research indicate that Labor become the most variable gives a positive impact against the next economic growth, government spending and investment, while investing PMDN PMA gives negative impact on The Economic Growth Of The Province Of Jambi. PMA investment posit no impact and no signikan against economic growth this is not prevalent, but it is possible the investment PMA in Jambi province is relatively small and still no impact in the absorption of the local Workforce. Menyikapai is an effort to boost the Economic growth of the Province of Jambi then needed a special business development policies should be directed at the activities that are labor-intensive to absorb labor as much as possible. Keywords: economic growth, government spending, PMA, the PMDN, and labor.

Implementing Business Intelligence in Electricity Markets

2010 ◽  
pp. 283-295
Author(s):  
José Ramón Cancelo ◽  
Antoni Espasa
Keyword(s):  
Electricity Markets ◽  
Business Intelligence ◽  
Explicit Knowledge ◽  
Time Series Data ◽  
Contextual Information ◽  
Electricity Consumption ◽  
Point Of View ◽  
Series Data ◽  
Basic Ideas ◽  
Set Up

The authors elaborate on three basic ideas that should guide the implementation of business intelligence tools. First, the authors advocate for closing the gap between structured information and contextual information. Second, they emphasize the need for adopting the point of view of the organization to assess the relevance of any proposal. In the third place, they remark that any new tool is expected to become a relevant instrument to enhance the learning of the organization and to generate explicit knowledge. To illustrate their point, they discuss how to set up a forecasting support system to predict electricity consumption that converts raw time series data into market intelligence, to meet the needs of a major organization operating at the Spanish electricity markets.

scholarly journals Privatisation and commercialisation in Nigeria: Implications and prospects for good governance

2005 ◽  
Vol 36 (3) ◽  
pp. 65-74
Author(s):  
T. O. Asaolu ◽  
O. Oyesanmi ◽  
P. O. Oladele ◽  
A. M. Oladoyin
Keyword(s):  
Sharp Increase ◽  
Good Governance ◽  
Stock Exchange ◽  
Technical Committee ◽  
Company Performance ◽  
Public Enterprises ◽  
Public And Private ◽  
Price Increases ◽  
Company Limited ◽  
The Impact

The privatisation and commercialisation Decree No. 25 of 1988 (amended 1999) which provided the legal backing for the Technical Committee of Privatisation and Commercialisation (TCPC), began the major paradigm shift in the conceptualisation of public enterprises in Nigeria. The paper primarily examined the privatisation exercise in Nigeria since 1988. It also attempted to provide measures that will simplify the complex process of privatisation with the hope of lessening the probability of crisis. The paper considered the impact of privatisation on performance of privatised companies, changes in employment and the increase in the prices of commodities of the enterprises vis-à-vis their gross income towards the overall good governance of the Nigerian society.The data for the paper were mainly secondary; and were drawn from the financial statements of companies in the stock Exchange and other stock Exchange reports, Central Bank Bulletins, publications and published reports of the Bureau of Public Enterprises. Newspapers and publication of the Federal Office of Statistics are other sources. The data were analysed by trend analysis using absolute figures, percentages and ratios based on the past record on privatisation in Nigeria.However, the study discovered that only a few successful enterprises, Flour Mills, African Petroleum, National oil and Chemical Marketing Company Limited (NOLCHEM) were partially privatised. The commercialisation of enterprises such as National Electric Power Authority (NEPA), Nigeria Telecommunications (NITEL) and Nigerian National Petroleum Corporation (NNPC), hardly showed any significant improvement in their operational and economic performance.The papers showed that employment levels were affected by privatisation. Between 1989 and 1993, the public sector accounted for more job losses than privatised companies. When privatised firms employment rose, public and private sectors still had lower employment levels. The sharp increase in prices between 1992 and 1994 did not create a sufficient increase in gross earnings for 1994. The results revealed that a reduction in public control would have an effect (at least in the short term) on prices. Profits increase but the extent to which this increase can attributed to reduction of government controls is not clear. Three banks witnessed sharp increase in investments and profitability immediately after privatisation, and there was a slight decrease before another increase. Results showed that privatisation has improved company performance, especially in the efficiency of resources utilisation. Higher profit to capital employed ratios has been witnessed since privatisation. Debt/Total Asset ratios have not been affected in any adverse way. Results from the study also revealed that price increases in excess of 200% occurred immediately after privatisation. This perhaps has an effect on the profits of the companies (especially those that still maintained monopoly status for a while.However, one fact is clear: the heydays of public enterprises in Nigeria are gone for good. It was on this note that the study concluded that privatisation is the appropriate economic recipe to achieve the much desired human development and good governance.

scholarly journals Smart Helmet: Thresh-Learner–Online Machine Learning on Data Streams

2019 ◽  
Vol 9 (1S3) ◽  
pp. 466-473
Keyword(s):  
Machine Learning ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Real Life ◽  
General Purpose ◽  
Streaming Data ◽  
Series Data ◽  
Dynamic Threshold ◽  
Wide Range ◽  
Set Up

Today, with an enormous generation and availability of time series data and streaming data, there is an increasing need for an automatic analyzing architecture to get fast interpretations and results. One of the significant potentiality of streaming analytics is to train and model each stream with unsupervised Machine Learning (ML) algorithms to detect anomalous behaviors, fuzzy patterns, and accidents in real-time. If executed reliably, each anomaly detection can be highly valuable for the application. In this paper, we propose a dynamic threshold setting system denoted as Thresh-Learner, mainly for the Internet of Things (IoT) applications that require anomaly detection. The proposed model enables a wide range of real-life applications where there is a necessity to set up a dynamic threshold over the streaming data to avoid anomalies, accidents or sending alerts to distant monitoring stations. We took the major problem of anomalies and accidents in coal mines due to coal fires and explosions. This results in loss of life due to the lack of automated alarming systems. We propose Thresh-Learner, a general purpose implementation for setting dynamic thresholds. We illustrate it through the Smart Helmet for coal mine workers which seamlessly integrates monitoring, analyzing and dynamic thresholds using IoT and analysis on the cloud.

scholarly journals Forecasting the volatility of Financial Time Series by Tree Ensembles

2019 ◽  
Vol 12 (3) ◽  
pp. 82-89
Author(s):  
O. S. Vidmant
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Capital Investment ◽  
Time Series Data ◽  
Financial Time Series ◽  
Series Data ◽  
Time Interval ◽  
Short Term ◽  
Computing Power ◽  
Financial Time

The use of new tools for economic data analysis in the last decade has led to significant improvements in forecasting. This is due to the relevance of the question, and the development of technologies that allow implementation of more complex models without resorting to the use of significant computing power. The constant volatility of the world indices forces all financial market players to improve risk management models and, at the same time, to revise the policy of capital investment. More stringent liquidity and transparency standards in relation to the financial sector also encourage participants to experiment with protective mechanisms and to create predictive algorithms that can not only reduce the losses from the volatility of financial instruments but also benefit from short-term investment manipulations. The article discusses the possibility of improving the efficiency of calculations in predicting the volatility by the models of tree ensembles using various methods of data analysis. As the key points of efficiency growth, the author studied the possibility of aggregation of financial time series data using several methods of calculation and prediction of variance: Standard, EWMA, ARCH, GARCH, and also analyzed the possibility of simplifying the calculations while reducing the correlation between the series. The author demonstrated the application of calculation methods on the basis of an array of historical price data (Open, High, Low, Close) and volume indicators (Volumes) of futures trading on the RTS index with a five-minute time interval and an annual set of historical data. The proposed method allows to reduce the cost of computing power and time for data processing in the analysis of short-term positions in the financial markets and to identify risks with a certain level of confidence probability.

scholarly journals Options for calibrating CERES-maize genotype specific parameters under data-scarce environments

2018 ◽  
Author(s):  
A.A Adnan ◽  
J. Diels ◽  
J.M. Jibrin ◽  
A.Y. Kamara ◽  
P. Craufurd ◽  
...  
Keyword(s):  
Field Experiments ◽  
Time Series Data ◽  
Simulation Models ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Planting Dates ◽  
Maize Varieties ◽  
Using Data ◽  
Set Up ◽  
Nitrogen Contents

AbstractMost crop simulation models require the use of Genotype Specific Parameters (GSPs) which provide the Genotype component of G×E×M interactions. Estimation of GSPs is the most difficult aspect of most modelling exercises because it requires expensive and time-consuming field experiments. GSPs could also be estimated using multi-year and multi locational data from breeder evaluation experiments. This research was set up with the following objectives: i) to determine GSPs of 10 newly released maize varieties for the Nigerian Savannas using data from both calibration experiments and by using existing data from breeder varietal evaluation trials; ii) to compare the accuracy of the GSPs generated using experimental and breeder data; and iii) to evaluate CERES-Maize model to simulate grain and tissue nitrogen contents. For experimental evaluation, 8 different experiments were conducted during the rainy and dry seasons of 2016 across the Nigerian Savanna. Breeder evaluation data was also collected for 2 years and 7 locations. The calibrated GSPs were evaluated using data from a 4 year experiment conducted under varying nitrogen rates (0, 60 and 120kg N ha−1). For the model calibration using experimental data, calculated model efficiency (EF) values ranged between 0.86-0.92 and coefficient of determination (d-index) between 0.92-0.98. Calibration of time-series data produced nRMSE below 7% while all prediction deviations were below 10% of the mean. For breeder experiments, EF (0.52-0.81) and d-index (0.46-0.83) ranges were lower. Prediction deviations were below 17% of the means for all measured variables. Model evaluation using both experimental and breeder trials resulted in good agreement (low RMSE, high EF and d-index values) between observed and simulated grain yields, and tissue and grain nitrogen contents. We conclude that higher calibration accuracy of CERES-Maize model is achieved from detailed experiments. If unavailable, data from breeder experimental trials collected from many locations and planting dates can be used with lower but acceptable accuracy.

scholarly journals Macroeconomic Variables And Corruption In Malaysia

2019 ◽  
Vol 5 (2) ◽  
pp. 112
Author(s):  
Zahariah Mohd Zain ◽  
Fatimah Setapa ◽  
Ruzita Baah ◽  
Khaleed Kusnin
Keyword(s):  
Human Capital ◽  
Government Spending ◽  
Capital Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Development Indicator ◽  
The Relationship

Despite the government’s effort to eradicate corruption, it is still impossible to combat it as long as individuals with no integrity and sense of responsibility exists in organizations. ca This study is to investigate the relationship between several macroeconomics variables with corruption. The macroeconomics variables include government spending, human capital, investment and trade openness. This study uses time series data from the year 1994-2016. The data were obtained from Political Risk Service (PRS) and World Development Indicator from World Bank. Ordinary Least Square (OLS) method is used to examine the relationship between all the macroeconomic variables and corruption. The macroeconomic variables found to be significantly related to corruption in Malaysia were human capital and trade openness. However changes in the corruption in Malaysia may not necessarily be influenced by government spending and investment. Furthermore, all variables are found to have a positive relationship with corruption. The general findings of this paper strongly suggested that corruption in Malaysia is increasing continuously. Therefore efforts by the Malaysian government and policy makers are badly needed to fight corruption in order to foster better economic growth through improved business operations, employment and investments.

scholarly journals Exploring Company Performance Measurement for Truck Manufacturers

2020 ◽  
Vol 10 (1) ◽  
pp. 102-124
Author(s):  
Qinqin Zeng ◽  
Wouter W.A. Beelaerts van Blokland
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Analytic Network Process ◽  
Quantitative Model ◽  
Series Data ◽  
Fiscal Year ◽  
Company Performance ◽  
Ideal Solution ◽  
Network Process

This paper aims to develop a quantitative model of company performance from an inventory perspective for truck manufacturers. With the inventory performance as a new dimension, fourteen indicators are identified to form a conceptual framework for truck manufacturers to measure their company performance. Accordingly, techniques of the fuzzy logic and the analytic network process (ANP) are used to generate the quantitative model, considering the interdependency between the indicators and the uncertainty arising from human qualitative judgments. A case study is conducted in nine truck manufacturers, with time series data from the fiscal year 2004 to 2015. The ranking result out of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used as a validation, which proves the higher accuracy of the model developed.

scholarly journals Effect of Good Corporate Governance, DER, Asset Growth Mechanism on Company Performance

2018 ◽  
Vol 1 (2) ◽  
pp. 48-59
Author(s):  
Abdul Rahim ◽  
Kartika Mirawati ◽  
Juhasdi Susono
Keyword(s):  
Corporate Governance ◽  
Time Series Data ◽  
Stock Exchange ◽  
Empirical Studies ◽  
Secondary Data ◽  
Series Data ◽  
Company Performance ◽  
Mining Companies ◽  
Good Corporate Governance ◽  
Asset Growth

This study aims to determine the effect of the mechanism of Good Corporate Governance, DER, Asset Growth on company performance (empirical studies on mining companies listed on the Indonesia, Thailand, Malaysia Stock Exchange period 2010-2017). This research is quantitative research which aims to systematically explain about the facts and properties in an object in the study then merged between variables related to it by presenting secondary data from financial reports from mining companies in the countries of Indonesia, Malaysia, and Thailand. The samples used in this study were 15 mining companies in the countries of Indonesia, Malaysia, and Thailand. In this study, the data analysis method used is the data panel (pooled data) which is a combination of time series data and data between individuals or cross sections in mining companies in Indonesia, Malaysia, and Thailand. This research indicates that the variation of the profit company's performance can be explained by the independent variables analyzed

Sign in / Sign up

Export Citation Format

Share Document