ArticleThe Science of the total environment2020
SutteARIMA: Short-term forecasting method, a case: Covid-19 and stock market in Spain.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- COVID and World Stock Markets: A Comprehensive Discussion.Frontiers in psychology · 2021Pooled it
- Short-term forecasting and impact analysis of COVID-19 and the stock market in Morocco using ARIMA.PloS one · 2026Article
- Predictive and interpretable machine learning for COVID-19 resurgences: the role of SARS-CoV-2 variants in the post-pandemic era.BMC infectious diseases · 2025Article
- Socioeconomic impact and sufficiency of government financial support during COVID-19 pandemic: A retrospective study.PloS one · 2024Article
- Determining the return volatility of the Ghana stock exchange before and during the COVID-19 pandemic using the exponential GARCH model.SN business & economics · 2023Article
- Stock trend prediction using sentiment analysis.PeerJ. Computer science · 2023Article
- COVID 19 Pandemic, Socio-Economic Behaviour and Infection Characteristics: An Inter-Country Predictive Study Using Deep Learning.Computational economics · 2023Article
- RETRACTED ARTICLE: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.Multimedia tools and applications · 2023Article
- Leveraging machine learning to analyze sentiment from COVID-19 tweets: A global perspective.Engineering reports : open access · 2022Article
- A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.Computers in biology and medicine · 2022Article
- Modelling the spreading of the SARS-CoV-2 in presence of the lockdown and quarantine measures by a kinetic-type reactions approach.Mathematical medicine and biology : a journal of the IMA · 2022Article
- Interpretation of Discrepancies between Cities in the Transmission of COVID-19: Evidence from China in the First Weeks of the Pandemic.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Article
- Linear and Nonlinear Effects in Connectedness Structure: Comparison between European Stock Markets.Entropy (Basel, Switzerland) · 2022Article
- Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey.Signal, image and video processing · 2022Article
- How does Covid-19 affect global equity markets?Financial innovation · 2022Article
- India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability.Soft computing · 2022Article
- Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections- Performance evaluation.Frontiers in medicine · 2022Article
- Implementation of the SutteARIMA method to predict short-term cases of stock market and COVID-19 pandemic in USA.Quality & quantity · 2022Article
- Article
- Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview.Healthcare (Basel, Switzerland) · 2021Review
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2 authors.
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Abstract
This study aimed to predict the short-term of confirmed cases of covid-19 and IBEX in Spain by using SutteARIMA method. Confirmed data of Covid-19 in Spanish was obtained from Worldometer and Spain Stock Market data (IBEX 35) was data obtained from Yahoo Finance. Data started from 12 February 2020-09 April 2020 (the date on Covid-19 was detected in Spain). The data from 12 February 2020-02 April 2020 using to fitting with data from 03 April 2020 - 09 April 2020. Based on the fitting data, we can conducted short-term forecast for 3 future period (10 April 2020 - 12 April 2020 for Covid-19 and 14 April 2020 - 16 April 2020 for IBEX). In this study, the SutteARIMA method will be used. For the evaluation of the forecasting methods, we applied forecasting accuracy measures, mean absolute percentage error (MAPE). Based on the results of ARIMA and SutteARIMA forecasting methods, it can be concluded that the SutteARIMA method is more suitable than ARIMA to calculate the daily forecasts of confirmed cases of Covid-19 and IBEX in Spain. The MAPE value of 0.036 (smaller than 0.03 compared to MAPE value of ARIMA) for confirmed cases of Covid-19 in Spain and was in the amount of 0.026 for IBEX stock. At the end of the analysis, this study used the SutteARIMA method, this study calculated daily forecasts of confirmed cases of Covid-19 in Spain from 10 April 2020 until 12 April 2020 i.e. 158925; 164390; and 169969 and Spain Stock Market from 14 April 2020 until 16 April 2020 i.e. 7000.61; 6930.61; and 6860.62.
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