Search Results - subject:"‘early warning’ system"

Can financial sector distress be detected early?

Pietrzak, Marcin - In: Borsa Istanbul Review 22 (2022) 6, pp. 1132-1144

Financial sector distress is a situation in which financial intermediation is either costly or impossible (or both) as proxied by tight financial conditions - high spreads, decline in equity value and high volatility. Tight financial conditions have been identified as a risk factor to the...

Persistent link: https://www.econbiz.de/10014305879

Dynamic forecasting of banking crises with a Qual VAR

Plessis, Emile du - 2022

This paper applies a Qual VAR approach to generate a continuous banking crisis indicator from an underlying latent variable using a Markov Chain Monte Carlo algorithm. Four decades of banking crises are assessed by accounting for the evolutionary nature of precursors, as measured through...

Persistent link: https://www.econbiz.de/10014247704

Country & sector risks handbook ... : major trends of the world economy : analysis and forecast for ... countries and ... sectors

Compagnie française d'assurance pour le commerce extérieur - [Boix-Colombes] : [Coface] - 2022-

Persistent link: https://www.econbiz.de/10013400044

Strengthening Hydromet and Multi-hazard Early Warning Services in Uzbekistan : A Road Map

World Bank Group - 2022

The road map presents a potential pathway to strengthen Uzbekistan's national hydrometeorological (hydromet) and multi-hazard early warning systems and services, based on the needs of the user community. It is based on a technical evaluation and assessment of the needs and capacities of...

Persistent link: https://www.econbiz.de/10013415242

Artificial neural networks for developing early warning system for banking system : Indian context

Gupta, Neha; Kumar, Arya - In: International journal of economics and business … 23 (2022) 2, pp. 229-254

Persistent link: https://www.econbiz.de/10012939761

Predicting financial crises with machine learning methods

Liu, Lanbiao; Chen, Chen; Wang, Bo - In: Journal of forecasting 41 (2022) 5, pp. 871-910

Persistent link: https://www.econbiz.de/10013287882

Credit risk early warning of small and medium-sized enterprises based on blockchain trusted data

Tong, Shekun; Zhang, Ting; Zhang, Zhigang - In: Journal of information & knowledge management : JIKM 21 (2022) 2, pp. 1-12

Persistent link: https://www.econbiz.de/10013389598

Random forest versus logit models : which offers better early warning of fiscal stress?

Jarmulska, Barbara - In: Journal of forecasting 41 (2022) 3, pp. 455-490

Persistent link: https://www.econbiz.de/10013166154

Early detection of Indonesia's vulnerability to currency crisis

Oyong, Rosa Agustina; Didong, Rustam; Safuan, Sugiharso; … - In: International journal of economics and financial issues … 8 (2018) 1, pp. 196-204

Persistent link: https://www.econbiz.de/10011955640

Managerial early warning system as best practice for project selection at a Smart factory

Bertoncel, Tine; Erenda, Ivan; Meško, Maja - In: Amfiteatru economic : an economic and business research … 20 (2018) 49, pp. 805-819

several-stage early warning system that is specific to their industry. The aim of our study is, with the help of semi …-structured group interviews, to examine which stages of a managerial early warning system are present in the case of a global … innovative supplier in the automotive industry. As such, a four-stage managerial early warning system model for a knowledge …

Persistent link: https://www.econbiz.de/10011888342