From COVID-19 to Resilience: Quantitative Methods in Economics and Business
Material type:
- text
- computer
- online resource
- 9783036577647
- 9783036577654
- books978-3-0365-7765-4
- Development economics and emerging economies
- agritourism
- agritourism performance
- Anscombe's quartet
- backwardation
- Bitcoin
- broadband
- business performance
- cointegration
- commodities
- construction sector
- containment and closure
- contango
- Cook's distance
- COVID-19
- COVID-19 epidemic
- COVID-19 news
- COVID-19 pandemic
- creative performance
- default rate
- digitization
- economic support
- entrepreneurial resilience
- entropy
- expected credit loss
- extreme event contexts
- financial analysis
- financial markets
- generalized golden ratio (GGR)
- gold
- government bond price volatility
- government policy responses
- granger causality
- gross domestic product
- hedge properties
- hospitality sector
- institutional orientation
- international financial markets
- interval-valued intuitionistic fuzzy set
- k-means clustering
- micro-businesses
- MSGARCH
- orderliness
- pandemics
- panel quantile regression
- personal resident benefit
- quantitative assessment
- regime changes
- resident-micro-business interaction
- resilience
- road safety
- rural hospitality and tourism
- Russia
- safe haven
- SEM
- Slovak enterprises
- structure of copper futures prices
- support for agritourism development
- symmetry
- synergetics
- system structural harmonicity
- telecommunications
- time series
- time-varying
- tourism industry
- volatility
Open Access Unrestricted online access star
The present reprint contains 11 articles accepted for publication and published in the Special Issue From COVID-19 to Resilience: Quantitative Methods in Economics and Business of the MDPI Mathematics journal. These articles cover a wide range of topics analyzing economics and business situations during and post the COVID-19 pandemic. It is hoped that these selected research papers will be found to be impactful by the international scientific community and that these papers will facilitate further research on quantitative techniques for solving complex problems in various disciplines and application fields.
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https://creativecommons.org/licenses/by/4.0/
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