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COVID-19 and the liquidity network

Farzami, Yasmine; Gregory-Allen, Russell; Molchanov, … - In: Finance research letters 42 (2021), pp. 1-8

Persistent link: https://www.econbiz.de/10014581396

European firms, panic borrowing and credit lines drawdowns : what did we learn from the COVID-19 shock?

Cerrato, Mario; Ramia, Hormoz - 2022

Persistent link: https://www.econbiz.de/10013466046

European firms, panic borrowing and credit lines drawdowns : what did we learn from the covid-19 shock?

Cerrato, Mario; Ramian, Hormoz - 2023

Persistent link: https://www.econbiz.de/10014234217

The S-score of financial sustainability for professional football clubs

Evans, Richard - In: Journal of sports economics 25 (2024) 3, pp. 322-345

Persistent link: https://www.econbiz.de/10014581172

Das französische Insolvenzrecht

Weber, Karl-Heinz - 1996 - 3. Aufl.

Persistent link: https://www.econbiz.de/10013427437

Machine learning algorithms applied to the estimation of liquidity : the 10-year United States treasury bond

Luque Raya, Ignacio Manuel; Luque Raya, Pablo - In: European journal of management and business economics : … 33 (2024) 3, pp. 341-365

Purpose - Having defined liquidity, the aim is to assess the predictive capacity of its representative variables, so … representative of liquidity will be used to formulate the predictions. The results of various machine learning models will be … compared, leading to some reflections on the predictive value of the liquidity variables, with a view to defining their …

Persistent link: https://www.econbiz.de/10014581255