ENHANCING MARKET RISK FORECASTING WITH BEDROCK AND  CLAUDE INTEGRATION IN A JAVA MICROSERVICES  ARCHITECTURE

Naveen Kumar Vayyasi

ENHANCING MARKET RISK FORECASTING WITH BEDROCK AND CLAUDE INTEGRATION IN A JAVA MICROSERVICES ARCHITECTURE

Authors

Naveen Kumar Vayyasi

Keywords:

Market Risk, Value-at-Risk, Amazon Bedrock, Claude AI, Microservices Architecture, Financial Forecasting, Sentiment Analysis, Risk Management

Abstract

Financial institutions face escalating complexity in market risk forecasting as global marketsexhibit increased volatility, interconnectedness, and sensitivity to diverse information sourcesincluding news sentiment, regulatory announcements, and geopolitical events. This researchinvestigates the integration of Amazon Bedrock and Anthropic's Claude AI models within Java-based microservices architectures to enhance market risk prediction capabilities

References

Anderson, K., Martinez, R., and Chen, L. (2021) 'Foundation model deployment in financial services: infrastructure patterns and operational considerations', Journal of Financial Technology, 14(3), pp. 289-315.

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Published

2022-02-05

How to Cite

Naveen Kumar Vayyasi. (2022). ENHANCING MARKET RISK FORECASTING WITH BEDROCK AND CLAUDE INTEGRATION IN A JAVA MICROSERVICES ARCHITECTURE. Journal of Computational Analysis and Applications (JoCAAA), 30(2), 929–949. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4884