Time series interpolation and application of its methods in financial analysis

In the modern market economy conditions, financial information is very significant when evaluating the results of enterprises’ financial status and activity results. General economic, mathematical, heuristic methods are used for this type of analysis. The article analyses application opportunities for one of the mathematical research methods–time series–as well as its research instruments, discusses the place and role of interpolation methods in a financial analysis. The article reveals that interpolation methods which may be used to determined former values of an enterprise’s financial indicators or identify reasons which determined the enterprise’s financial status and activity results are the following: 1) graphic and arithmetic interpolation in a linear equation; 2) geometric interpolation based on the compound percentage formula and 3) interpolation by averaging.

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Disadvantages of the methodology and practice of analysis of the financial status of the enterprise: causes, consequences, ways of elimination

Economics Entrepreneurship Management ◽

10.23939/eem2021.01.069 ◽

2021 ◽

Vol 8 (1) ◽

pp. 69-79

Author(s):

V. Chubai ◽

◽

A. Zhyrnova

Keyword(s):

Financial Analysis ◽

Scientific Work ◽

Financial Information ◽

Optimal Management ◽

Management Decisions ◽

Financial Status ◽

Financial Condition ◽

Different Types ◽

High Level

Today, businesses operate in conditions of significant competition and a high level of unpredictability of changes in the environment. Therefore, for each company even more important is the importance of making optimal management decisions. A significant number of decisions are made based on the results of the analysis of the financial condition of the enterprise. However, the existing methodology and practice of financial analysis have many different types of shortcomings that significantly distort the results of the analysis. The main shortcomings can be grouped into the following groups: organizational, methodological, technical, legislative, conceptual, informational. As a result of their presence, many users of financial information form incorrect conclusions and make suboptimal management decisions, which negatively affects the future results of the enterprise, related entities and the economy in general. Therefore, the purpose of scientific work is to study the shortcomings of the methodology and practice of financial analysis, and to find ways to address these shortcomings. The article examines foreign and domestic experience in analysing the financial condition of enterprises; identified and grouped the shortcomings of the methodology and practice of this type of analysis; the importance of taking into account the factors of its internal and external environments during the analysis of the financial condition of the enterprise is substantiated; recommendations for eliminating a number of shortcomings of the analysis of the financial condition of enterprises are offered. The results of the study will help to obtain much more reliable results of financial analysis, which will improve the quality of management decisions of operational, tactical and strategic nature.

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The role of parental self-regulation and household chaos in parent-toddler interactions: A time-series study.

Journal of Family Psychology ◽

10.1037/fam0000814 ◽

2020 ◽

Author(s):

Sanne B. Geeraerts ◽

Joyce Endendijk ◽

Kirby Deater-Deckard ◽

Jorg Huijding ◽

Marike H. F. Deutz ◽

...

Keyword(s):

Time Series ◽

Self Regulation ◽

Household Chaos ◽

Time Series Study ◽

Series Study

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What's Happening to Profits at Cazenovia Creations?

AIS Educator Journal ◽

10.3194/1935-8156-8.1.24 ◽

2013 ◽

Vol 8 (1) ◽

pp. 24-29 ◽

Cited By ~ 1

Author(s):

Margaret Garnsey ◽

Andrea Hotaling

Keyword(s):

Financial Analysis ◽

Financial Statements ◽

Internal Controls ◽

Net Income ◽

Database Query ◽

Microsoft Access ◽

Level Data ◽

Query Tool ◽

Transaction Level

ABSTRACT In this case, students assume the role of an accounting professional asked by a client to investigate why net income is not as strong as expected. The students must first analyze a set of financial statements to identify areas of possible concern. After determining the areas to investigate, the students use a database query tool to see if they can determine causes by examining transaction level data. Finally, the students are asked to professionally communicate their findings and recommendations to their client. The case provides students with experience in using query-based approaches to answering business questions. It is appropriate for students with basic query and financial analysis skills and knowledge of internal controls. A Microsoft Access database with transaction details for the final seven months of the current year as well as financial statements for the current and prior year are provided.

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The Role of Accounting and Financial Information in the Consolidation of the Financial Logic of Capitalism: Analysis from the Financial Crisis

SSRN Electronic Journal ◽

10.2139/ssrn.1523356 ◽

2009 ◽

Author(s):

Jorge Suárez Tirado

Keyword(s):

Financial Crisis ◽

Financial Information

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Exploring the Role of Meteorological Factors in Predicting Incident Pulmonary Tuberculosis: A Time-Series Study in Eastern China

SSRN Electronic Journal ◽

10.2139/ssrn.3667848 ◽

2020 ◽

Author(s):

Zhongqi Li ◽

Hongqiu Pan ◽

Qiao Liu ◽

Jianming Wang

Keyword(s):

Time Series ◽

Pulmonary Tuberculosis ◽

Meteorological Factors ◽

Eastern China ◽

Time Series Study ◽

Series Study

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The Role of Assumptions in Ohlson Model Performance: Lessons for Improving Equity-Value Modeling

Mathematics ◽

10.3390/math9050513 ◽

2021 ◽

Vol 9 (5) ◽

pp. 513

Author(s):

Olga Fullana ◽

Mariano González ◽

David Toscano

Keyword(s):

Time Series ◽

Model Performance ◽

Listed Firms ◽

Valuation Model ◽

Residual Income Valuation ◽

Equity Value ◽

Short Run ◽

Time Series Approach ◽

Linear Information

In this paper, we test whether the short-run econometric conditions for the basic assumptions of the Ohlson valuation model hold, and then we relate these results with the fulfillment of the short-run econometric conditions for this model to be effective. Better future modeling motivated us to analyze to what extent the assumptions involved in this seminal model are not good enough approximations to solve the firm valuation problem, causing poor model performance. The model is based on the well-known dividend discount model and the residual income valuation model, and it adds a linear information model, which is a time series model by nature. Therefore, we adopt the time series approach. In the presence of non-stationary variables, we focus our research on US-listed firms for which more than forty years of data with the required cointegration properties to use error correction models are available. The results show that the clean surplus relation assumption has no impact on model performance, while the unbiased accounting property assumption has an important effect on it. The results also emphasize the uselessness of forcing valuation models to match the value displacement property of dividends.

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Calibrating the CreditRisk+ Model at Different Time Scales and in Presence of Temporal Autocorrelation †

Mathematics ◽

10.3390/math9141679 ◽

2021 ◽

Vol 9 (14) ◽

pp. 1679

Author(s):

Jacopo Giacomelli ◽

Luca Passalacqua

Keyword(s):

Time Series ◽

Default Risk ◽

Real Life ◽

Statistical Error ◽

Real Data ◽

Sampling Period ◽

Calibration Procedure ◽

Industry Standards ◽

Default Rate

The CreditRisk+ model is one of the industry standards for the valuation of default risk in credit loans portfolios. The calibration of CreditRisk+ requires, inter alia, the specification of the parameters describing the structure of dependence among default events. This work addresses the calibration of these parameters. In particular, we study the dependence of the calibration procedure on the sampling period of the default rate time series, that might be different from the time horizon onto which the model is used for forecasting, as it is often the case in real life applications. The case of autocorrelated time series and the role of the statistical error as a function of the time series period are also discussed. The findings of the proposed calibration technique are illustrated with the support of an application to real data.

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Seasonality in extra-pulmonary tuberculosis notifications in Germany 2004-2014- a time series analysis

BMC Public Health ◽

10.1186/s12889-021-10655-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Tanja Charles ◽

Matthias Eckardt ◽

Basel Karo ◽

Walter Haas ◽

Stefan Kröger

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Disease Onset ◽

Age Groups ◽

Age Group ◽

Pulmonary Tb ◽

Series Analysis ◽

Disease Site ◽

Extra Pulmonary

Abstract Background Seasonality in tuberculosis (TB) has been found in different parts of the world, showing a peak in spring/summer and a trough in autumn/winter. The evidence is less clear which factors drive seasonality. It was our aim to identify and evaluate seasonality in the notifications of TB in Germany, additionally investigating the possible variance of seasonality by disease site, sex and age group. Methods We conducted an integer-valued time series analysis using national surveillance data. We analysed the reported monthly numbers of started treatments between 2004 and 2014 for all notified TB cases and stratified by disease site, sex and age group. Results We detected seasonality in the extra-pulmonary TB cases (N = 11,219), with peaks in late spring/summer and troughs in fall/winter. For all TB notifications together (N = 51,090) and for pulmonary TB only (N = 39,714) we did not find a distinct seasonality. Additional stratified analyses did not reveal any clear differences between age groups, the sexes, or between active and passive case finding. Conclusion We found seasonality in extra-pulmonary TB only, indicating that seasonality of disease onset might be specific to the disease site. This could point towards differences in disease progression between the different clinical disease manifestations. Sex appears not to be an important driver of seasonality, whereas the role of age remains unclear as this could not be sufficiently investigated.

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