Modern recession forecasting systems: The signals approach

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Abstract
Global recession fears have been rising with the worldwide outbreak of the
COVID-19 pandemic. Could we have predicted the outcomes of the events that led up to the
current liquidity crisis? Could economic indicators potentially forecast recessions? If yes,
what are those indicators, and how should average people interpret them?
This work aims to create a crisis prediction model as an independent forecasting system for
giving an estimation of the likelihood of a recession. To establish the connections between
indicators of financial stability, we represent a literature review. Then the operability of
these indicators and their updated thresholds are analyzed for the European market. To
determine the effectiveness of the chosen indicators, we used the “Signals Approach”
method. In the end, the results are presented and discussed. This article generally describes
quantitative indicators. Further analysis is needed to make a conclusive statement about
the economic condition.
- Title
- Modern recession forecasting systems: The signals approach
- xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
- 17.
- Author
- Molnar, Albert
- Kadena, Esmeralda
- xmlui.dri2xhtml.METS-1.0.item-contributor-editor
- Fehér-Polgár, Pál
- xmlui.dri2xhtml.METS-1.0.item-date-issued
- 2020
- xmlui.dri2xhtml.METS-1.0.item-rights-access
- Open access
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
- MEB 18th Management, Enterprise and Benchmarking
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
- 2020. Június 25-26.
- xmlui.dri2xhtml.METS-1.0.item-language
- en
- xmlui.dri2xhtml.METS-1.0.item-format-page
- 11 p.
- xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
- recession, forecasting system, financial indicators, signals approach
- xmlui.dri2xhtml.METS-1.0.item-description-version
- Kiadói változat
- xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
- MEB — 18th International Conference on Management, Enterprise, Benchmarking. Proceedings (MEB 2020)
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
- 2020
- xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
- 978-963-449-223-8
- xmlui.dri2xhtml.METS-1.0.item-type-type
- Konferenciaközlemény
- xmlui.dri2xhtml.METS-1.0.item-subject-area
- Társadalomtudományok - közgazdaságtudományok
- xmlui.dri2xhtml.METS-1.0.item-publisher-university
- Óbudai Egyetem
- xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
- Keleti Károly Gazdasági Kar