appendix-f

appendix F References and further reading

 

This appendix collects, chapter by chapter, the sources cited in the book along with curated suggestions for deeper study. The “References” subsections point to the specific papers, reports, datasets, and documentation mentioned in the text. The “Further reading” subsections list resources that extend each chapter’s topics beyond the book’s scope. URLs were verified as of August 2026.

F.1 Chapter 1: Introducing AI in finance

F.1.1 References

Morgan Stanley’s GenAI assistant for wealth managers, mentioned as an example of AI-powered research synthesis, is described in this case study:

  • [1] The remark was made on 21 May 2026 at JPMorgan’s China Summit in Shanghai.
  • [2] OpenAI, “Morgan Stanley uses AI evals to shape the future of financial services,” https://openai.com/index/morgan-stanley/

The regulatory frameworks referenced for the data asset layer:

  • [3] Regulation (EU) 2016/679 (General Data Protection Regulation), https://eur-lex.europa.eu/eli/reg/2016/679/oj
  • [4] Board of Governors of the Federal Reserve System, “Comprehensive Capital Analysis and Review (CCAR),” www.federalreserve.gov/supervisionreg/ccar.htm

F.1.2 Further reading

For a structured, vendor-neutral framework for governing AI systems of the kind introduced in this chapter:

FINRA maintains an overview of how AI is being applied across the securities industry:

F.2 Chapter 2: From model to money: A strategist’s guide to real-world financial AI

F.2.1 References

F.2.2 Further reading

F.3 Chapter 3: Working with Generative AI in finance

F.3.1 References

F.3.2 Further reading

F.4 Chapter 4: Risk and compliance: Credit risk fundamentals

F.4.1 References

F.4.2 Further reading

F.5 Chapter 5: End-to-end credit scoring for financial applications: A real-world AI approach

F.5.1 References

F.5.2 Further reading

F.6 Chapter 6: Enhancing BFSI scoring workflows: Advanced binning, monitoring, and explainability

F.6.1 References