{"title":"Trends and persistence in global olive oil prices after COVID-19","authors":"Manuel Monge","doi":"10.1057/s41272-024-00481-x","DOIUrl":null,"url":null,"abstract":"<p>Once the coronavirus pandemic was declared by government authorities in March 2020 and several measures were adopted around the world to limit the effects of COVID-19, the limit agroeconomic processing affected important operations such as not being able to prepare the olive trees for the next harvest. This lack of processes has caused the consumer to perceive an increase in prices due to the shortage of product and the growing demand for olive oil around the world. This research paper, through the use of advanced statistical and econometric techniques, attempts to perform a specific analysis and understand the persistence of the data and the trend of global olive oil prices. Artificial intelligence techniques such as neural network models are also used to predict long-term price behavior. Using ARFIMA (p, d, q) model, the results suggest a non-mean reversion behavior, suggesting that the shock is expected to be permanent, causing a change in trend. This result is in line with that obtained using machine learning techniques, where the forecast suggests an increase of the prices around + 11.36% in the next 12 months.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"215 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Revenue and Pricing Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41272-024-00481-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Once the coronavirus pandemic was declared by government authorities in March 2020 and several measures were adopted around the world to limit the effects of COVID-19, the limit agroeconomic processing affected important operations such as not being able to prepare the olive trees for the next harvest. This lack of processes has caused the consumer to perceive an increase in prices due to the shortage of product and the growing demand for olive oil around the world. This research paper, through the use of advanced statistical and econometric techniques, attempts to perform a specific analysis and understand the persistence of the data and the trend of global olive oil prices. Artificial intelligence techniques such as neural network models are also used to predict long-term price behavior. Using ARFIMA (p, d, q) model, the results suggest a non-mean reversion behavior, suggesting that the shock is expected to be permanent, causing a change in trend. This result is in line with that obtained using machine learning techniques, where the forecast suggests an increase of the prices around + 11.36% in the next 12 months.
期刊介绍：
The?Journal of Revenue and Pricing Management?serves the community of researchers and practitioners dedicated to improving understanding through insight and real life situations. Each article emphasizes meaningful answers to problems whether cutting edge science or real solutions. The journal places an emphasis disseminating the best articles from the best minds and benchmarked businesses within the field of Revenue Management and Pricing.Revenue management (RM) also known as Yield Management (YM) is a management activity that marries the diverse disciplines of operations research/management science analytics economics human resource management software development marketing economics e-commerce consumer behaviour and consulting to manage demand for a firm's products or services with the goal of profit maximisation. From a practitioner standpoint RM encompasses a range of activities related to demand management including pricing segmentation capacity and inventory allocation demand modelling and business process management.Journal of Revenue and Pricing Management?aims to:formulate and disseminate a body of knowledge called 'RM and pricing' to practitioners educators researchers and students;provide an international forum for a wide range of practical theoretical and applied research in the fields of RM and pricing;represent a multi-disciplinary set of views on key and emerging issues in RM and pricing;include a cross-section of methodologies and viewpoints on research including quantitative and qualitative approaches case studies and empirical and theoretical studies;encourage greater understanding and linkage between the fields of study related to revenue management and pricing;to publish new and original ideas on research policy and managementencourage and engage with professional communities to adopt the Journal as the place of knowledge excellence i.e. INFORMS Revenue Management & Pricing section AGIFORS and Revenue Management Society and Revenue Management and Pricing International Ltd.Published six times a year?Journal of Revenue and Pricing Management?publishes a wide range of peer-reviewed practice papers research articles and professional briefings written by industry experts - including:Practice papers - addressing the issues facing practitioners in industry and consultancyApplied research papers - from leading institutions on all areas of research of interest to practitioners and the implications for practiceCase studies - focusing on the real-life challenges and problems faced by major corporations how they were approached and what was learnedModels and theories - practical models and theories which are being used in revenue managementThoughts - assessment of the key issues new trends and future ideas by leading experts and practitionersApprentice - the publication of tomorrows ideas by students of todayBook/conference reviews - reviewing leading conferences and major new books on RM and pricingThe Journal is essential reading for senior professionals in private and public sector organisations and academic observers in universities and business schools - including:Pricing AnalystsRevenue ManagersHeads of Revenue ManagementHeads of Yield ManagementDirectors of PricingHeads of MarketingChief Operating OfficersCommercial DirectorsDirectors of SalesDirectors of OperationsHeads of ResearchPricing ConsultantsProfessorsLecturers
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