Pricing Crop Revenue Insurance using Parametric Copulas

Duarte, Gislaine Vieira; Ozaki, Vitor Augusto

doi:10.5935/0034-7140.20190015

Cited by 7 publications

(8 citation statements)

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“…Furthermore, these citizens showed, in relation to the "market" macro-area, a perception of irrelevance (score equal to 0) of "LSR power" and negative scores for the items "price volatility" (−2.7) and "market globalisation" (−0.6). This is in line with other scholars, who found that the seasonal variation in food prices leads consumers to uncertainty and risk [56][57][58]. Regarding the "sustainability of production systems" macro-area, these citizens showed a positive score for the item "intensive production" (3.3).…”

Section: Cluster Analysissupporting

confidence: 90%

Profiling Citizens on Perception of Key Factors of Food Security: An Application of K-Means Cluster Analysis

Facendola,

Ottomano Palmisano,

De Boni

et al. 2023

Sustainability

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Cities have been increasingly involved in the development of food policies, becoming key points in achieving food security and fostering the transition to sustainable agri-food systems. The aim of this paper is to identify citizens’ profiles by performing segmentation and profiling according to their socio-economic variables and perception of key factors affecting food security. This is to define appropriate strategies to guide policy makers in a more effective creation of urban food policies. An online survey was filled out by citizens of the Metropolitan City of Bari from July to November 2022. Descriptive analysis, principal component analysis and K-means cluster analysis were applied to the collected data. Four clusters of citizens were obtained and labelled based on socio-economic characteristics and key factors affecting food security perception. Specifically, the “Law-confident” (45% of citizens) and “Hedonist” (36%) clusters revealed the greatest trust in “governance” and “quality certification” aspects. The “Capitalist” (15%) and “Conservatory” (4%) clusters were relatively small groups, characterized respectively by a positive perception of the standardization of food production and governance power, with a focus on strategies regarding food policy implementation, reduction of food loss and waste (FLW) and improvement of food quality certifications systems. The proposed approach and results may support EU policy makers in identifying key macro-areas and matters toward which to direct public funding in order to improve food security in urban areas, and to put in place actions enhancing citizens’ knowledge and awareness of key issues of food security.

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Section: Cluster Analysissupporting

confidence: 90%

Profiling Citizens on Perception of Key Factors of Food Security: An Application of K-Means Cluster Analysis

Facendola,

Ottomano Palmisano,

De Boni

et al. 2023

Sustainability

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“…In the field of actuarial science, copulas have started to obtain a preponderance at the end of the last century and the first decade of the current century, due to their benefits, in particular the high flexibility of modeling the joint distribution of a random n-tuple [7,8,14,15]. This statistical technique has been applied in several fields of investigation related to the payment of claims, pricing, active valorization and, with less relevance, stockpile computation, highlighting the opportunity to model the asymmetric dependence in the tails [11,19,20,46,47,51]. More recently, copulas have been applied in collective risk models and deductible price-fixing, furthermore, improvements in the computational efficiency and how to provide intuitive interpretations of the dependence structure have been investigated [13,39,48].…”

Section: Pricing With Statistical Copulasmentioning

confidence: 99%

Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning: historical comparability analysis for the Colombian health system, 2015–2021

et al. 2023

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The Capitation Payment Unit (CPU) financing mechanism constitutes more than 70% of health spending in Colombia, with a budget allocation of close to 60 trillion Colombian pesos for the year 2022 (approximately 15.7 billion US dollars). This article estimates actuarially, using modern techniques, the CPU for the contributory regime of the General System of Social Security in Health in Colombia, and compares it with what is estimated by the Ministry of Health and Social Protection. Using freely available information systems, by means of statistical copulas functions and artificial neural networks, pure risk premiums are calculated between 2015 and 2021. The study concludes that the weights by risk category are systematically different, showing historical pure premiums surpluses in the group of 0–1 years and deficits (for the regions normal and cities) in the groups over 54 years of age.

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“…Nesse sentido, não se sabe ao certo o saldo líquido, em termos de faturamento, quando se observam apenas a produção ou os preços. Em outras palavras, uma elevada produção pode ser contrabalanceada por preços baixos, e vice-versa, reduzindo o ganho de faturamento pelo produtor (Duarte & Ozaki, 2019).…”

Section: Introductionunclassified

Efeito de alterações no preço de referência sobre as indenizações do Seguro Agrícola de Faturamento da soja no Brasil

Adami

Ozaki

Miquelluti

2022

Rev. Econ. Sociol. Rural

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Resumo: O seguro agrícola de faturamento possui vantagens e desvantagens frente ao seguro agrícola tradicional e, apesar de sua grande penetração no mercado norte-americano, no Brasil essa modalidade ainda é incipiente. Diante disso, o objetivo deste estudo foi avaliar o efeito de alterações no preço de referência (preço base) sobre as indenizações desses contratos para a cultura da soja, em municípios selecionados, no período de 2008 a 2018. Os resultados mostraram que há fraca associação entre as séries de preço e produtividade, pois o efeito estimado ficou próximo de zero, mas de caráter negativo em que preço e produção apresentam comportamento inversamente correlacionados. Além disso, a escolha do parâmetro de preços teve forte influência no valor da indenização, já que ao utilizar o preço de Paranaguá, os produtores receberiam um montante de indenização menor do que aquele a que teriam direito caso utilizassem o preço de referência da sua região. Em particular, para os estados do Mato Grosso e Mato Grosso do Sul, a diferença seria muito maior. Este fato pode ser um indício da baixa contratação do seguro de faturamento por esses produtores, que mesmo com a subvenção federal, têm apresentado demanda menor, comparativamente aos produtores da região Sul.

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Pricing Crop Revenue Insurance using Parametric Copulas

Cited by 7 publications

References 0 publications

Profiling Citizens on Perception of Key Factors of Food Security: An Application of K-Means Cluster Analysis

Profiling Citizens on Perception of Key Factors of Food Security: An Application of K-Means Cluster Analysis

Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning: historical comparability analysis for the Colombian health system, 2015–2021

Efeito de alterações no preço de referência sobre as indenizações do Seguro Agrícola de Faturamento da soja no Brasil

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