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All Outputs (4)

Managerial overconfidence and corporate cash holdings: Evidence from primary and secondary data (2023)
Journal Article
Dao, T. T. N., Guney, Y., & Hudson, R. (2023). Managerial overconfidence and corporate cash holdings: Evidence from primary and secondary data. Research in international business and finance, 65, Article 101943. https://doi.org/10.1016/j.ribaf.2023.101943

The corporate finance literature argues that overconfident managers tend to hold less cash, and this leads to a significant deviation from optimal cash levels. We analyse the impact of executive overconfidence on the corporate cash holdings of listed... Read More about Managerial overconfidence and corporate cash holdings: Evidence from primary and secondary data.

Modelling credit and investment decisions based on AI algorithmic behavioral pathways (2023)
Journal Article
Rodgers, W., Hudson, R., & Economou, F. (2023). Modelling credit and investment decisions based on AI algorithmic behavioral pathways. Technological Forecasting and Social Change, 191, Article 122471. https://doi.org/10.1016/j.techfore.2023.122471

This paper provides a new approach to understanding bankers' risk-taking behavior. We build upon prior studies that suggest artificial intelligence algorithms are an effective approach to obtaining this understanding. Our approach uses behavioral fin... Read More about Modelling credit and investment decisions based on AI algorithmic behavioral pathways.

Engaged ETFs and firm performance (2023)
Journal Article
El Kalak, I., Hudson, R., & Kemal Tosun, O. (2023). Engaged ETFs and firm performance. European Financial Management, https://doi.org/10.1111/eufm.12459

Exchange Traded Funds (ETFs) have often tracked indices and charged low fees so their incentives to improve firm performance are questionable although little empirical work has investigated this issue. Theoretically, however, we expect firms to perfo... Read More about Engaged ETFs and firm performance.