Dataset Information

Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic.

ABSTRACT: In the present study, we provide a motivating example with a financial application under COVID-19 pandemic to investigate autoregressive (AR) modeling and its diagnostics based on asymmetric distributions. The objectives of this work are: (i) to formulate asymmetric AR models and their estimation and diagnostics; (ii) to assess the performance of the parameters estimators and of the local influence technique for these models; and (iii) to provide a tool to show how data following an asymmetric distribution under an AR structure should be analyzed. We take the advantages of the stochastic representation of the skew-normal distribution to estimate the parameters of the corresponding AR model efficiently with the expectation-maximization algorithm. Diagnostic analytics are conducted by using the local influence technique with four perturbation schemes. By employing Monte Carlo simulations, we evaluate the statistical behavior of the corresponding estimators and of the local influence technique. An illustration with financial data updated until 2020, analyzed using the methodology introduced in the present work, is presented as an example of effective applications, from where it is possible to explain atypical cases from the COVID-19 pandemic.

SUBMITTER: Liu Y

PROVIDER: S-EPMC9041637 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic.

Liu Yonghui Y Mao Chaoxuan C Leiva Víctor V Liu Shuangzhe S Silva Neto Waldemiro A WA

Journal of applied statistics 20210424 5

In the present study, we provide a motivating example with a financial application under COVID-19 pandemic to investigate autoregressive (AR) modeling and its diagnostics based on asymmetric distributions. The objectives of this work are: (i) to formulate asymmetric AR models and their estimation and diagnostics; (ii) to assess the performance of the parameters estimators and of the local influence technique for these models; and (iii) to provide a tool to show how data following an asymmetric d ...[more]

PMID: 35707504

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Project description:BackgroundThe technological advancements of the past few decades in various aspects that are directly or indirectly related to health, along with the emphasis on public health in societal development, have improved the quality of life. However, the occurrence of pandemics and crises underscores how various aspects of individual life can be impacted. The financial consequences resulting from the COVID-19 pandemic have particularly affected the field of dentistry and public oral health. This study aims to investigate the financial effects of the COVID-19 virus on dentistry through a scoping review.MethodsA comprehensive literature search was conducted across four databases (Medline through PubMed, Embase, Scopus, and Cochrane Central) using keywords such as COVID-19 and its equivalents, dentistry, oral health, dental education, dental services, dental clinics, financial impact, financial opportunities and economic impact. Articles addressing the financial impact of COVID-19 on dentistry and oral health were then screened and reviewed.ResultsOut of 1015 articles related to COVID-19 and dentistry, 84 were focused on the financial impact of COVID-19 on dentistry. The majority of these articles originated from the United States, Brazil, and Saudi Arabia, with a prevalence of cross-sectional and review articles. The review categorized the articles into two main themes: financial problems and proposed solutions. Moreover, the following themes were extracted: the effects of practice closure on dentists and staff, increased treatment costs and impacts on oral health, personal protective equipment and unforeseen costs, psychological effects of financial issues, and financial challenges within the dental education system.ConclusionsWhile many high-income countries seem able to mitigate COVID-19-induced financial problems, the economic effects on dentistry might persist despite the pandemic's end. These financial challenges have spurred new opportunities and infrastructure development but can pose significant risks to community oral health. This study aimed to highlight these problems and propose solutions, contributing to efforts to improve the oral health of communities globally. Further research is needed to understand long-term impacts.

Dataset Information

Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic.

Publications

Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic.

Similar Datasets

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