SUSTAINABILITY IN FOREX TRADING: A REVIEW IN SEARCH OF THE SARSA-FIS HYBRID METHOD AS A NOVELTY

Joni Fat (), Parwadi Moengin (), Pudji Astuti () and Sally Cahyati ()
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Joni Fat: Universitas Tarumanagara, Jakarta, Indonesia
Parwadi Moengin: Universitas Trisakti, Jakarta, Indonesia
Pudji Astuti: Universitas Trisakti, Jakarta, Indonesia
Sally Cahyati: Universitas Trisakti, Jakarta, Indonesia

Bulletin of Monetary Economics and Banking, 2025, vol. 28, issue Spesial Issue, 71-94

Abstract: This study employs meta-analysis, rich pictures, timeline analysis, and causal loop diagram to explore the sustainability impacts of the SARSA-FIS hybrid method in forex trading robots. It reviews 56 references (2018-2023), using rich pictures to map AI-driven interactions. Timeline analysis traces AI’s evolution in forex, while causal loop diagram clarifies its role in market dynamics. Responsible algorithms and SRI principles mitigate risks, promoting ethical trading. SARSA-FIS enhances strategies, leveraging AI for sustainable forex practices amidst global uncertainties. The research identifies gaps and positions SARSA-FIS as a novel approach, providing a foundation for advancing AI applications in finance, particularly in forex trading.

Keywords: Digital technologies; Good governance; Institutional quality; ASEAN (search for similar items in EconPapers)
JEL-codes: H11 O31 O38 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:idn:journl:v:28:y:2025:i:spf:p:71-94

DOI: 10.59091/2460-9196.2369

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