ANALYSIS OF THE POTENTIAL KEY VALUE DRIVERS OF COMPANIES IN THE PERIOD FROM 2009 TO 2019

2020 ◽  
Vol 6 (12) ◽  
pp. 141-149
Author(s):  
E. I. NURGALIEVA ◽  
Keyword(s):  
Statistical Analysis ◽  
Intangible Assets ◽  
Value Drivers ◽  
Enterprise Value ◽  
Asset Value ◽  
Value Net ◽  
The Impact

The article analyzes the impact of various potential key value drivers (revenue, asset value, net property plant and equipment, intangible assets and goodwill) on the value of six corporations in the period from 2009 to 2019. For research, statistical analysis is used. Based on the results obtained, the key value drivers on enterprise value are identified for each corporation.

scholarly journals Earnings Management, Enterprise Scale and Enterprise Value—Research Based on Data and Statistical Analysis Tools

2021 ◽  
Vol 292 ◽  
pp. 02047
Author(s):  
Yang Mengxiao
Keyword(s):  
Statistical Analysis ◽  
Earnings Management ◽  
Firm Value ◽  
Stock Exchange ◽  
Real Earnings Management ◽  
Damage Effect ◽  
Enterprise Value ◽  
Current Value ◽  
The Impact

This paper takes China’s A-share listed companies in Shanghai and Shenzhen Stock Exchange from 2012 to 2016 as samples to analyze the impact of earnings management on current and subsequent enterprise value. It is found that real earnings management not only affects the current value, but also damages the long-term value of enterprises continuously. Further research finds that the size of the firm has a moderating effect, that is, the larger the size of the firm, the damage effect of real earnings management on the firm value is mitigated.

Assessing the impact of COVID-19 on the valuation of Indian companies using a financial model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pitabas Mohanty ◽  
Supriti Mishra
Keyword(s):  
Stock Prices ◽  
Cash Flows ◽  
Cost Structure ◽  
Civil Aviation ◽  
Value Drivers ◽  
Financial Model ◽  
Content Type ◽  
Enterprise Value ◽  
Movie Exhibition ◽  
The Impact

PurposeFear grips stock markets when a pandemic like COVID-19 strikes, severely affecting stock prices. However, fundamental value drivers of companies do not change drastically during pandemics. The sensitivity of firms' cash flows to lockdowns during pandemics depends on their cost structure. This paper develops a financial model incorporating information about value drivers and lockdown sensitivity of companies to find the enterprise value.Design/methodology/approachThe authors develop a financial model that estimates the effects of COVID-19 on enterprise value and helps to identify wrongly valued stocks. The authors apply the model to five Indian stocks from five different industries to study how firms belonging to various sectors get affected differently in this pandemic.FindingsCompanies belonging to civil aviation and retail sectors get more affected by COVID-19 compared to those in movie exhibition, automobile and hotel industries. The cost structure of the latter category of firms reduces their cash flow effect.Practical implicationsThe model can be used by practitioners to understand any pandemic's effect on stock prices. Also, it explains how firms having different cost structures get affected by any crisis and help investors in taking appropriate buy/sell decisions.Originality/valueThe study has two contributions: first, the authors develop a financial model to estimate the effect of COVID-19 on the enterprise value. Second, contrary to popular perception, the authors find companies belonging to movie exhibition, hotel and automobile industries do not get that severely affected.

Assessment of small businesses activities in Ukraine

2019 ◽  
pp. 40-47
Author(s):  
Igor Ponomarenko ◽  
Kateryna Volovnenko
Keyword(s):  
Comparative Analysis ◽  
Statistical Analysis ◽  
Small Business ◽  
Small Businesses ◽  
Government Agencies ◽  
Small Enterprises ◽  
The Subject ◽  
Business Entities ◽  
The Impact ◽  
Micro Enterprises

The subject of the research is a set of approaches to the statistical analysis ofthe activities of small business entities in Ukraine, including micro-enterprises. The purpose of writing this article is to study of the features of functioningof small business entities in Ukraine. Methodology. The research methodology isto use a system-structural and comparative analysis (to study the change in thenumber of small enterprises by major components); monographic (when studyingmethods of statistical analysis of small businesses); economic analysis (when assessing the impact of small business entities on socio-economic phenomena andprocesses in Ukraine). The scientific novelty consists to determine the features ofthe functioning of small businesses in Ukraine in modern conditions. The influenceof the activities of the main socio-economic and political indicators on the activities of small enterprises in recent periods of time has been identified. It has beenestablished that there is flexibility in the development of strategies by small businesses in conditions of significant competition, which makes it possible to quicklyrespond to changing situations in specific markets. Conclusions. The use of acomprehensive statistical analysis of small businesses functioning in Ukraine willallow government agencies to develop a set of measures to optimize the activitiesof these enterprises, which ultimately will positively affect the strengthening oftheir competitiveness and will contribute to the growth of the national economicsystem.

Effects of Quarantine Due to the COVID-19 on Sleep Duration and Quality in Algerians

2020 ◽  
Vol 60 (2) ◽  
pp. 182-193
Author(s):  
Kacem Abdelhadi ◽  
Houar Abdelatif ◽  
Zerf Mohamed ◽  
Bengoua Ali
Keyword(s):  
Statistical Analysis ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Online Survey ◽  
Public Awareness ◽  
Italian Version ◽  
Sleep Timing ◽  
Algerian Population ◽  
Significant Change ◽  
The Impact

SummaryThis study tests the impact of COVID-19 on sleep of Algerian population before and during the COVID-19 quarantine by an estimated online survey, adapted from the PSQI Italian version. Including 1210 participants (age between 18-60 years old). The statistical analysis was carried out using SPSS version 22.0 software. Our results showed a significant change in sleeping quality during quarantine, the sleep timing markedly changed, we also noticed additional use of sleeping medications. Algerian scientists recommend to build public awareness and to provide necessary information regarding Algerian sleep quality, especially for Algerian adults.

The Effect of Public Office Values on Government Trust: Focusing on the Effects of Regulating the Level of Citizenship

2019 ◽  
Vol 118 (2) ◽  
pp. 35-42
Author(s):  
Nam-Sik Yun ◽  
Seok-Kee Lee
Keyword(s):  
Statistical Analysis ◽  
Public Administration ◽  
Public Service ◽  
Public Office ◽  
Institute Of Public Administration ◽  
Service Value ◽  
Korean Government ◽  
Government Sector ◽  
The Impact

Background/Objectives: The study discussed the impact of citizens' perceptions of public office values of integrity, accountability, and fairness, based on the view that government trust is centered on the citizens' perception of the value of public office.  Methods/Statistical analysis: The data was based on a 2017 survey conducted by the Korea Institute of Public Administration on the perception of corruption in the Korean government sector. The study included 1,000 people and was conducted through a survey public service value, citizenship level and government trust. The data were analyzed using the SPSS 22 and AMOS 22.0 program.

The Effect of Public Office Values on Government Trust: Focusing on the Effects of Regulating the Level of Citizenship

2019 ◽  
Vol 118 (8) ◽  
pp. 366-374
Author(s):  
Nam-Sik Yun ◽  
Seok-Kee Lee
Keyword(s):  
Statistical Analysis ◽  
Public Administration ◽  
Public Service ◽  
Public Office ◽  
Institute Of Public Administration ◽  
Service Value ◽  
Korean Government ◽  
Government Sector ◽  
The Impact

The study discussed the impact of citizens' perceptions of public office values of integrity, accountability, and fairness, based on the view that government trust is centered on the citizens' perception of the value of public office. Methods/Statistical analysis: The data was based on a 2017 survey conducted by the Korea Institute of Public Administration on the perception of corruption in the Korean government sector. The study included 1,000 people and was conducted through a survey public service value, citizenship level and government trust. The data were analyzed using the SPSS 22 and AMOS 22.0 program.

scholarly journals Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 421
Author(s):  
Dariusz Puchala ◽  
Kamil Stokfiszewski ◽  
Mykhaylo Yatsymirskyy
Keyword(s):  
Statistical Analysis ◽  
Image Encryption ◽  
Experimental Studies ◽  
Quality Measures ◽  
Input Image ◽  
Jpeg Compression ◽  
Image Statistics ◽  
Compression Stage ◽  
Wide Range ◽  
The Impact

In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used in connection with the JPEG compression standard. The image encryption process takes advantage of fast linear transforms parametrized with private keys and is carried out prior to the compression stage in a way that does not alter those statistical characteristics of the input image that are crucial from the point of view of the subsequent compression. This feature makes the encryption process transparent to the compression stage and enables the JPEG algorithm to maintain its full compression capabilities even though it operates on the encrypted image data. The main advantage of the considered approach is the fact that the JPEG algorithm can be used without any modifications as a part of the encrypt-then-compress image processing framework. The paper includes a detailed mathematical model of the examined scheme allowing for theoretical analysis of the impact of the image encryption step on the effectiveness of the compression process. The combinatorial and statistical analysis of the encryption process is also included and it allows to evaluate its cryptographic strength. In addition, the paper considers several practical use-case scenarios with different characteristics of the compression and encryption stages. The final part of the paper contains the additional results of the experimental studies regarding general effectiveness of the presented scheme. The results show that for a wide range of compression ratios the considered scheme performs comparably to the JPEG algorithm alone, that is, without the encryption stage, in terms of the quality measures of reconstructed images. Moreover, the results of statistical analysis as well as those obtained with generally approved quality measures of image cryptographic systems, prove high strength and efficiency of the scheme’s encryption stage.

scholarly journals Statistical Analysis and Machine Learning Prediction of Fog-Caused Low-Visibility Events at A-8 Motor-Road in Spain

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 679
Author(s):  
Sara Cornejo-Bueno ◽  
David Casillas-Pérez ◽  
Laura Cornejo-Bueno ◽  
Mihaela I. Chidean ◽  
Antonio J. Caamaño ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Probability Distributions ◽  
Pearson Correlation ◽  
Likelihood Method ◽  
Neural Network Approach ◽  
Event Duration ◽  
Full Characterization ◽  
Low Visibility ◽  
Learning Machine ◽  
The Impact

This work presents a full statistical analysis and accurate prediction of low-visibility events due to fog, at the A-8 motor-road in Mondoñedo (Galicia, Spain). The present analysis covers two years of study, considering visibility time series and exogenous variables collected in the zone affected the most by extreme low-visibility events. This paper has then a two-fold objective: first, we carry out a statistical analysis for estimating the fittest probability distributions to the fog event duration, using the Maximum Likelihood method and an alternative method known as the L-moments method. This statistical study allows association of the low-visibility depth with the event duration, showing a clear relationship, which can be modeled with distributions for extremes such as Generalized Extreme Value and Generalized Pareto distributions. Second, we apply a neural network approach, trained by means of the ELM (Extreme Learning Machine) algorithm, to predict the occurrence of low-visibility events due to fog, from atmospheric predictive variables. This study provides a full characterization of fog events at this motor-road, in which orographic fog is predominant, causing important traffic problems during all year. We also show how the ELM approach is able to obtain highly accurate low-visibility events predictions, with a Pearson correlation coefficient of 0.8, within a half-hour time horizon, enough to initialize some protocols aiming at reducing the impact of these extreme events in the traffic of the A-8 motor road.

scholarly journals Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling

Geosciences ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 243
Author(s):  
Hernandez-Martinez Francisco G. ◽  
Al-Tabbaa Abir ◽  
Medina-Cetina Zenon ◽  
Yousefpour Negin
Keyword(s):  
Machine Learning ◽  
Statistical Analysis ◽  
Portland Cement ◽  
Soil Stabilization ◽  
Data Availability ◽  
Data Repository ◽  
Organic Soils ◽  
Experimental Database ◽  
Soil Mixing ◽  
The Impact

This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.

Capturing Effects of Maintenance Practices in Highway Asset Valuation: Replacement-Cost Approach Versus Book-Value Method

2003 ◽  
Vol 1824 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Poovadol Sirirangsi ◽  
Adjo Amekudzi ◽  
Pannapa Herabat
Keyword(s):  
Pavement Management ◽  
Added Value ◽  
Replacement Cost ◽  
Asset Valuation ◽  
Book Value ◽  
Cost Approach ◽  
Trade Offs ◽  
Study Results ◽  
Asset Value ◽  
The Impact

The replacement-cost approach and the book-value method as decision support tools for selecting maintenance alternatives under budget constraints and for capturing the effects of maintenance practices on highway asset value are investigated. By using a case study based on the Thailand Pavement Management System, the replacement-cost approach and the book-value method are applied to analyze maintenance alternatives for selected highways. The versatility of these asset-valuation methods is explored for capturing trade-offs in the type and timing of maintenance and for incorporating the added value of effective maintenance practices and the impact of deferred maintenance in the overall asset value. The study demonstrated that the replacement-cost approach is a more versatile tool for considering the maintenance-related value of highways in maintenance decision making, whereas the book value may be a simpler financial accounting tool. The two approaches may be used together to clarify how maintenance expenditures are being translated into facility replacement value or how the overall value of the infrastructure is being preserved. The study results are potentially useful to agencies interested in capturing the added value of effective maintenance practices in the overall value of their asset base.

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