An interpretable system for predicting the impact of COVID-19 government interventions on stock market sectors.

Yang, Cai; Abedin, Mohammad Zoynul; Zhang, Hongwei; Weng, Futian; Hajek, Petr

Yang, Cai; Abedin, Mohammad Zoynul; Zhang, Hongwei; Weng, Futian; Hajek, Petr.

Afiliación

Yang C; School of Business Administration, Hunan University, Changsha, 410082 China.
Abedin MZ; School of Management, Swansea University, Bay Campus, Fabian Way, SA1 8EN Swansea, Wales UK.
Zhang H; Department of Finance, Performance and Marketing, Teesside University International Business School, Teesside University, Middlesbrough, TS1 3BX Tees Valley UK.
Weng F; School of Mathematics and Statistics, Central South University, Changsha, 410083 Hunan China.
Hajek P; Institute of Metal Resources Strategy, Central South University, Changsha, 410083 China.

Ann Oper Res ; : 1-28, 2023 Apr 24.

Article en En | MEDLINE | ID: mdl-37361085

Palabras clave

COVID-19; Government interventions; SHapley Additive exPlanations; Stock market

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Oper Res Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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