Financial Sustainability Evaluation and Forecasting Using the Markov Chain: The Case of the Wine Business

Rekova, N. Yu.; Telnova, Hanna; Kachur, Oleh; Golubkova, Iryna; Baležentis, Tomas; Štreimikienė, Dalia

doi:10.3390/su12156150

Cited by 4 publications

(14 citation statements)

References 25 publications

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“…e following subsections will introduce the two main components of the modeling procedure and the detailed steps of the proposed method. (1,1). Among the existing grey approaches, the typical GM (1, 1) is the simplest and widely used model.…”

Section: Methodsmentioning

confidence: 99%

“…Let x (0) (k) represents the datum at the kth phase. (2) Form an accumulated generating series X (1) �…”

Section: E Typical Gmmentioning

confidence: 99%

“…(6) Solve the ordinary differential equation dx (1) /dt + ax (1) � b with the initial condition x (0) (1) � x (1) (1) to build the grey forecasting model:…”

Section: E Typical Gmmentioning

confidence: 99%

“…Decision-making is the heart of administration and one of the most important tasks for managers [1,2]. To cope with the increasingly fierce market competition environment, managers need to quickly respond to business problems and maintain business advantages, which require timely and correct decisions.…”

Section: Introductionmentioning

confidence: 99%

“…To further improve it, this study proposed a fuzzy-decomposition modeling procedure for enhancing the prediction quality of typical GM (1,1). is new method can build a robust model based on Latent Information (LI) function [31] and bring a better forecasting accuracy than the typical GM (1, 1).…”

Section: Introductionmentioning

confidence: 99%

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A Fuzzy-Decomposition Grey Modeling Procedure for Management Decision Analysis

Guo

Chang

Huang

et al. 2021

Mathematical Problems in Engineering

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To cope with the increasingly fierce market competition environment, enterprises need to quickly respond to business issues and maintain business advantages, which require timely and correct decisions. In this context, the general mathematical modeling method may cause overfitting phenomenon when using small data sets, so it is difficult to ensure good analysis performance. Therefore, it is significant for enterprises to use limited samples to analyze and forecast. Over the past few decades, the grey model and its extensions have been shown to be effective tools for processing small data sets. To further enforce the effectiveness of data uncertainty processing, a fuzzy-decomposition modeling procedure for grey models is developed. Specifically, Latent Information (LI) function is employed to decompose the initial series into three subseries; next, the three subseries are used to build three grey models and create the estimated values of the three subseries; finally, the weighted average method is applying to combine the estimated values of the three subseries into a single final predicted value. After the actual test on the monthly demand data of the thin-film transistor liquid crystal display panels, the proposed fuzzy-decomposition modeling procedure can result in good prediction outcomes and is thus an appropriate decision analysis tool for managers.

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Section: Methodsmentioning

confidence: 99%

“…Let x (0) (k) represents the datum at the kth phase. (2) Form an accumulated generating series X (1) �…”

Section: E Typical Gmmentioning

confidence: 99%

“…(6) Solve the ordinary differential equation dx (1) /dt + ax (1) � b with the initial condition x (0) (1) � x (1) (1) to build the grey forecasting model:…”

Section: E Typical Gmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Fuzzy-Decomposition Grey Modeling Procedure for Management Decision Analysis

Guo

Chang

Huang

et al. 2021

Mathematical Problems in Engineering

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Financial sustainability in agri-food supply chains: A system approach

Hamam,

Spina,

Selvaggi

et al. 2023

Economia Agro-Alimentare

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Historically, both governmental and private sectors have significantly underinvested in the agriculture industry.Increasing agricultural and food system investments is necessary to enhance food security and nutrition, reduce poverty, and adapt to climate change. To achieve long-term benefits, it is crucial to ensure not only that more investments are made, but also that these investments are responsible.The purpose of this paper is to conduct a literature review of financial sustainability and ethical investing in the agriculture industry. The findings indicate that the academic community has begun to focus on these concerns in recent years. Specifically, issues concerning finance in developing nations and the management of irrigation systems are attracting attention.This paper's goal is to encourage more financial institutions, financial services managers, policymakers, and universities to participate in sustainable development projects in the financial services sector.

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Sustainability Assessment: Does the OECD/G20 Inclusive Framework for BEPS (Base Erosion and Profit Shifting Project) Put an End to Disputes Over The Recognition and Measurement of Intellectual Capital?

Popescu

2020

Sustainability

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Nowadays, sustainability assessment procedures, sustainability assessment indicators, and sustainability assessment models are regarded by specialists as powerful decision-supporting tools able to foster sustainable development worldwide by addressing the main economic, financial, social, and environmental challenges. In like manner, the role and relevance of intangible assets have managed to produce an irreversible change in today’s world which also seriously affected the general traits of our economic systems, leading to a phenomenon known by specialists as the “revolution of intangibles”. Over the last decades, the controversies regarding the recognition and measurement of intellectual capital (IC) have led, on the one hand, to the development of possible solutions and systems for calculating and disclosing the performance generated or stimulated by various components of IC, but, on the other hand, they have also been the main premise that favored the use of intangible assets, in general, and intellectual property (IP), in particular, the transfer of results and the reduction of the tax base by transferring income to tax havens or jurisdictions that do not tax these categories of assets. Against these aggressive methods of fiscal planning, the countries reacted unitarily and coordinated through the BEPS (Base Erosion and Profit Shifting Project) plan. Based on the country’s profile as well as on the results of the annual evaluations published by the OECD (Organisation for Economic Co-operation and Development), our study verifies whether there are premises for IP use for income transfer into favorable jurisdictions and whether the measures and solutions proposed by Action 5 of the BEPS end disputes over the recognition and evaluation of IC. In addition, our work presents a novel methodological framework for sustainability assessment, which focuses on establishing important connections between the recognition and measurement of intellectual capital, the role of sustainability assessment tools, and the implications of corporate social responsibility, since, these days, the real “values” associated with a country or business profile may be found in the intangible assets they possess.

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Financial Sustainability Evaluation and Forecasting Using the Markov Chain: The Case of the Wine Business

Cited by 4 publications

References 25 publications

A Fuzzy-Decomposition Grey Modeling Procedure for Management Decision Analysis

A Fuzzy-Decomposition Grey Modeling Procedure for Management Decision Analysis

Financial sustainability in agri-food supply chains: A system approach

Sustainability Assessment: Does the OECD/G20 Inclusive Framework for BEPS (Base Erosion and Profit Shifting Project) Put an End to Disputes Over The Recognition and Measurement of Intellectual Capital?

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