AI-Based Detection of Hedge Fund Fraud

A Qualitative Survey — Companion Repository

11Sections21Charts61Questions
$4.5TAUM
10.6%AUC Degradation
10Open Problems
105Papers Reviewed
F1 ≈ 0.88Best Reported
I

Foundations

01Introduction 02Background
II

Methods

03Detection Pipeline 04Literature Review
III

Assessment

05Adversarial & Regulatory 06Research Agenda
IV

Synthesis

07Conclusion 08Reproducibility
A

Appendices

A0Search Protocol A1Feature Engineering A2Glossary
Q

Quiz PDFs (61 questions)

Q01Introduction
6 questions
 Q02Background
8 questions
 Q03Detection Pipeline
7 questions
 Q04Literature Review
6 questions
 Q05Adversarial & Regulatory
7 questions
 Q06Research Agenda
8 questions
 Q07Conclusion
5 questions
 Q08Reproducibility
5 questions
 QA0Search Protocol
4 questions
 QA1Feature Engineering
5 questions
I

All Charts (21)

01Introduction(2 charts)View Slides
Survey ComparisonSurvey Comparison AUM GrowthAUM Growth
04Literature Review(2 charts)View Slides
Method FamiliesMethod Families Literature GapsLiterature Gaps
06Research Agenda(2 charts)View Slides
Open Problems MapOpen Problems Map Priority MatrixPriority Matrix
08Reproducibility(2 charts)View Slides
Search FunnelSearch Funnel Database CoverageDatabase Coverage
A0Search Protocol(1 chart)View Slides
Boolean QueryBoolean Query
A1Feature Engineering(1 chart)View Slides
Feature TableFeature Table
A2Glossary(0 charts)View Slides
GitHub|Download| Digital-AI-Finance | MIT License | Companion to “AI-Based Detection of Hedge Fund Fraud: A Qualitative Survey”