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Google search in exchange rate models: Hype or hope?

Herzog, Bodo; dos Santos, Lana - In: Journal of Risk and Financial Management 14 (2021) 11, pp. 1-40

This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include...

Persistent link: https://www.econbiz.de/10013201195

Do post-Corona European economic policies lift growth prospects? Exploring an ML-methodology

Herzog, Bodo - In: Journal of Risk and Financial Management 15 (2022) 3, pp. 1-13

This article explores the determinants of people's growth prospects in survey data as well as the impact of the European recovery fund to future growth. The focus is on the aftermath of the Corona pandemic, which is a natural limit to the sample size. We use Eurobarometer survey data and...

Persistent link: https://www.econbiz.de/10013201423

Dynamic exepectation theory: Insights for market participants

Herzog, Bodo - In: Journal of Risk and Financial Management 12 (2019) 2, pp. 1-14

. Finally, the model is suitable for an AI approach and has major implications on the behaviour of market participants. …

Persistent link: https://www.econbiz.de/10012611121

Artificial intelligence and firm performance: Does machine intelligence shield firms from risks?

Ho, Linh Tu; Gan, Christopher; Jin, Shan; Le, Bryan - In: Journal of Risk and Financial Management 15 (2022) 7, pp. 1-20

(AI) and conventional listed firms using stock market indices. The single-group and multiple-group Interrupted Time …). The results show that the negative impact of COVID-19 on the AI stock market was less severe than on the conventional … stock market in the first month of the pandemic. The performance of the AI stock market recovered quicker than the …

Persistent link: https://www.econbiz.de/10014332503

Artificial intelligence-driven talent management system: Exploring the risks and options for constructing a theoretical foundation

Faqihi, Ali; Miah, Shah Jahan - In: Journal of Risk and Financial Management 16 (2023) 1, pp. 1-18

AI (Artificial intelligence) has the potential to improve strategies to talent management by implementing advanced … automated systems for workforce management. AI can make this improvement a reality. The objective of this study is to discover … the new requirements for generating a new AI-oriented artefact so that the issues pertaining to talent management are …

Persistent link: https://www.econbiz.de/10014332806