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Can machine learning methods predict beta?

Alanis, Emmanuel; Lesseig, Vance; Payne, Janet D.; … - In: Applied economics 57 (2025) 21, pp. 2742-2756

Persistent link: https://www.econbiz.de/10015442863

Can machine learning reduce volatility in electricity markets? : lessons from the economic calculation debate

Oğuz, Fuat; Peker, Mustafa Çağrı - In: Economic affairs : journal of the Institute of Economic … 45 (2025) 1, pp. 62-77

Persistent link: https://www.econbiz.de/10015373446

Can machine learning surpass human investors? : evidence from adaptive herding behaviour in US, China and India

Ooi Kok Loang - In: Journal of applied economics 28 (2025) 1, pp. 1-22

This study examined the effectiveness of machine learning models in capturing adaptive herding behaviour in the US, China, and India. Utilising data from January 2010 to December 2023, this study incorporates market sentiment (Thomson Reuters MarketPsych Indices), news sentiment (Bloomberg...

Persistent link: https://www.econbiz.de/10015618490

Can market competition enhance the utilization of data elements? : analysis from the dual perspectives of managerial incentives and entrepreneurial orientation

Liu, Ji; Xu, Zheng; Zhang, Jing; Zhou, Kun - In: International review of financial analysis 103 (2025), pp. 1-9

Persistent link: https://www.econbiz.de/10015609395

Can market fragmentation explain the limited success of political attempts to promote grain legume cultivation in Germany?

Mittag, Franziska; Hess, Sebastian - In: Agricultural and Food Economics : AFE 13 (2025) 1, pp. 1-33

Grain legumes, such as field peas, field beans, sweet lupins and soybeans, are known to increase biodiversity within the appropriate crop rotation and are an important source of import-substituting feed protein. National and regional policy schemes have long tried to support the cultivation of...

Persistent link: https://www.econbiz.de/10015576579