scholarly journals Personal Loan Sales Forecasting Through Time Series Analysis

2021 ◽  
Vol 5 (1) ◽  
pp. 44-51
Author(s):  
Ali İhsan ÖZEROĞLU
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Information Criteria ◽  
Great Likelihood ◽  
Future Expectations ◽  
Loan Sales ◽  
Series Analysis ◽  
Resource Needs ◽  
The Right ◽  
Almost All

Almost all state enterprises and private sector companies try to foresee future expectations. From the viewpoint of economic, productive, and efficient business management, this is highly important. By making rational decisions, all enterprises aim to rich maximum profitability by taking sales, cost, human resource needs, profits into account. For this reason, enterprises have to make reliable and reasonable forecasts to take the right decisions.  Such forecasts might be used in budgeting, cost, and profit analysis. Forecasted scenarios might come true in the future with a great likelihood. The researcher utilizing time series analysis assumes that all findings that come out will be almost the same happened in the past. Analyzing the time series consist of four aims such as defining, modeling forecasting, and controlling. To define a series, it is needed to compute definitional statistics and to draw its graphic. The second purpose of analyzing the time series is to find the appropriate model of the time series. With that work called “Time series and application to sale data”, it is tried to make a suitable guess model by analyzing the data of personal loans of a bank 2004-2010 sale data based on unit. During the stagnation stage of the sequence correlogram and root, analyses are performed. The sequence is analyzed with the help of the Eviews 5,1 program. At the end of the survey, it is seen that natural logarithmic personal loan sale sequences are at their level and in the first gap it is not constant and it is also seen that when the second gap is taken, the constant is obtained. The sequence of which the second gap is taken is shown based on time-way graphs and correlogram. When the constant is provided, the guessed model is formed by taking the second gap. The suitability of the model is observed by the correlogram, Akaike information criteria (AIC), and Schwarz information criteria (SIC) merits.

Corporate Social Responsibility: Insights from Literature Review

2021 ◽  
Vol 25 (1) ◽  
pp. 26-35
Author(s):  
G.K. Deshmukh ◽  
Sanskrity Joseph ◽  
Asha Sahu
Keyword(s):  
Time Series ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Time Series Analysis ◽  
Business Strategy ◽  
Net Worth ◽  
Series Analysis ◽  
Almost All ◽  
Corporate Social ◽  
The Impact

Corporate social Responsibility has become a buzz word in recent times. Its worldwide acceptance due to the social consciousness of enterprises coupled with legal orientation in developing countries like India has made it one of the most researched issue for researchers across continents. This paper is an attempt to review the development in the core concepts and theories which have been put forwarded by different researchers during the time period of 2010-2018. The paper undergoes a time series analysis for the selected period evaluating the evolution and impact assessment of CSR on core managerial concepts like marketing, finance and Human Resource management. The researchers after time series analysis have concluded that CSR is age long practice which has changed its orientation with the changes in objectives of business. It can be easily classified in three conceptual eras on the basis of its objectives. In the initial era it was a self-driven practice mainly influenced by the values of promoters of business. In the later stages it can be related with a business strategy of gaining goodwill. In the present era corporates have understood the value of societal obligation and it has again become a self-driven exercise. Further the impact of CSR has coupled with almost all functions of management which can be easily understood from the host of studies conducted during the selected period. The selected studies indicate that CSR has been instrumental in increasing net worth, customer satisfaction and employee retention.

Information criteria and harmonic models in time series analysis

1990 ◽  
Vol 35 (3-4) ◽  
pp. 187-207 ◽  
Author(s):  
Dominique Haughton ◽  
Jonathan Haughton ◽  
Alan J. Izenman
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Information Criteria ◽  
Series Analysis

scholarly journals A time series analysis of Prochilodus nigricans landings caught by small-scale fisheries in the lower stretch of the Amazon River

2013 ◽  
Vol 73 (1) ◽  
pp. 53-59 ◽  
Author(s):  
IF. Santana ◽  
CEC. Freitas
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Open Source Software ◽  
Age Groups ◽  
Small Scale ◽  
Amazon River ◽  
Small Scale Fisheries ◽  
Series Analysis ◽  
Using Data ◽  
The Right

We developed a time series analysis using data on curimatã (Prochilodus nigricans), which landed in Santarém, a small city located on the right banks of the Amazon River. A 10-year record of monthly average catches per day of P. nigricans was analyzed using forecasting procedures in the open-source software GRETL 1.7.8. We established two models from the identifications made with the correlograms of hyperparametrization and seasonal differences. The autoregressive terms of the model reach three years, indicating that individuals of the species are being caught around the age of three. This may indicate that the curimatãs in the landings at Santarém from 1992 to 2002 were more than two years old, potentially a sign of a lack of fishing pressure on the lower age groups.

Comparative analysis of hatchability dynamics (CAHD) of eggs in selected hatcheries in Ibadan metropolis

2020 ◽  
Vol 45 (3) ◽  
Author(s):  
T. O. Dauda ◽  
S. O. Omotoso ◽  
V. A. Ojuade ◽  
V. A. Ojuade ◽  
M. K. Akinwale
Keyword(s):  
Time Series ◽  
Comparative Analysis ◽  
Time Series Analysis ◽  
Information Criteria ◽  
Cyclic Variation ◽  
Summary Statistics ◽  
Akaike Information Criteria ◽  
Egg Hatchability ◽  
Series Analysis ◽  
Time Plot

We carried out this study to evaluate the plausibility of the representativeness of time series analysis results using egg hatchability data from 2 selected hatcheries: Bronco and Foresight hatcheries, Oluyole, Ibadan (both at Latitude 7º 23´ N and Longitude 3º 82´ E). The initial summary statistics of egg variables showed that in Bronco hatchery, the quantity of eggs set peaked (14935.53) in the months of November but lowest (11298.91) in the months of March. However, variance of eggs set in the months of September was highest (41018287) but lowest (1613430) in the months of March. The quantity of fertile eggs ranged between 10216.96 (March) and 13527.58 (November). Total number of chicks produced was highest (11966.15) in the months of November and lowest (9265.86) in the months of March. The time plot of egg set for hatching returned an unconditional cyclic variance and similarly with egg transferred. Although, total eggs hatched into chicks had different time plot pattern but it was also an unconditional cyclic variation. The Jarque-Bera (JB) statistics returned for egg set, egg transferred, total chicks hatched and ratio for Bronco hatchery are 1654.92, 1011.46, 38.721 and 57.855, respectively, while that of foresight hatchery are 25.038, 27.006, 235.897 and 365.734, respectively. The acf(x …x ) of the egg variable presented a wider value than that of acf of (x …x ) for foresight hatchery hence, the acf (x …x ) =(x …x ) could not be said to be strictly stationary. However, the acf of the x …x presented a cyclical and reducing acf like the original acf hence, (x …x ) =(x …x ). The acf of the ratio of egg set to total chicks hatched gave cyclical but reducing trend for both Bronco and Foresight hatcheries. These trends were also maintained for the x …x hence xtk+h …x = x …x . TheARIMAmodel of the ratio of the egg hatchability variables has the least corrected akaike information criteria nd Bayesian Information Criteria hence it could be adjudged the most parsimonious.

scholarly journals Thermal-Induced Errors Prediction and Compensation for a Coordinate Boring Machine Based on Time Series Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Jun Yang ◽  
Dongsheng Zhang ◽  
Bin Feng ◽  
Xuesong Mei ◽  
Zhenbang Hu
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Error Compensation ◽  
Prediction Accuracy ◽  
Thermal Error ◽  
Information Criteria ◽  
Error Modeling ◽  
Cnc Machine Tools ◽  
Machining Accuracy ◽  
Series Analysis

To improve the CNC machine tools precision, a thermal error modeling for the motorized spindle was proposed based on time series analysis, considering the length of cutting tools and thermal declined angles, and the real-time error compensation was implemented. A five-point method was applied to measure radial thermal declinations and axial expansion of the spindle with eddy current sensors, solving the problem that the three-point measurement cannot obtain the radial thermal angle errors. Then the stationarity of the thermal error sequences was determined by the Augmented Dickey-Fuller Test Algorithm, and the autocorrelation/partial autocorrelation function was applied to identify the model pattern. By combining both Yule-Walker equations and information criteria, the order and parameters of the models were solved effectively, which improved the prediction accuracy and generalization ability. The results indicated that the prediction accuracy of the time series model could reach up to 90%. In addition, the axial maximum error decreased from 39.6 μm to 7 μm after error compensation, and the machining accuracy was improved by 89.7%. Moreover, theX/Y-direction accuracy can reach up to 77.4% and 86%, respectively, which demonstrated that the proposed methods of measurement, modeling, and compensation were effective.

Dynamical Peculiarities of Concatenational Changes in Functional Cardiovascular Parameters

2018 ◽  
Vol 3 (82) ◽  
Author(s):  
Eurelija Venskaitytė ◽  
Jonas Poderys ◽  
Tadas Česnaitis
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Functional State ◽  
The Body ◽  
Functional Changes ◽  
High Intensity Training ◽  
Series Analysis ◽  
Greco Roman ◽  
St Segment ◽  
Standard Lead

Research  background  and  hypothesis.  Traditional  time  series  analysis  techniques,  which  are  also  used  for the analysis of cardiovascular signals, do not reveal the relationship between the  changes in the indices recorded associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-term structural and functional changes.Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval and amplitude of ST segment taken from the V standard lead.Research  results.  Significant  differences  were  found  between  inter-parametric  connections  of  ST  segment amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate of the myocardium and reflected in the dynamics of all investigated interactions.Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions show the exposure of the  functional changes in the body at the onset of the workload. The alterations of the functional state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation of the interactions of physiological signals by using time series analysis methods is suitable for the observation of these processes and the functional state of the body.Keywords: electrocardiogram, time series, functional state.

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