Wing Cheung

A Cambridge PhD and former Head of Portfolio Analytics at Lehman Brothers and Nomura, Dr Cheung led Europe’s No. 1-ranked Quant team. His Unified Portfolio Theory has inspired award-winning FinTech solutions and over 30 publications, attracting more than 10,000 SSRN downloads and placing him in the top 0.4% of over 2.5 million authors globally. He combines 15 years of industry thought leadership with academic excellence in executive education and quantitative consulting.

• Theoretical Foundations: High-dimensional decision theory, the philosophy of science, meta-theory, structural credit modelling, risk-neutral pricing, and falsifiable theory validation.
• Descriptive Behavioural Finance: Investment rationale, human cognition, from psychological constructs to descriptive accountability, and the harmonisation of economic rationality with behavioural reality.
• Portfolio Management & Trading: Unified Portfolio Theory, joint-test critique, Markowitz vs. 1/N, paradox of conviction, cost-aware construction, and holistic factor and risk management.
• Financial Technology: Universal optimiser, robo-advisor (WealthTech), performance attribution (RegTech), custom factor analytics, holistic factor management (InvesTech), and artificial intelligence (AI) vs. real intelligence (RI).

Research Summary & Impact

Cheung’s work reshapes the landscape of portfolio theory, validation, and practice, advancing it from a normative mandate and observational craft towards a falsifiable science.

• Theorisation | Unified Portfolio Theory: The 1^st behaviour-consistent theory to unify the fragmented portfolio-selection landscape (see Quantitative Finance 2633449, 2645380; working paper: SSRN 6014714).
• Validation | Resolving the Joint-Test Impasse: Resolves a 70-year-old joint-test problem, rendering portfolio theory empirically testable (see working paper: SSRN 4894466).
• Practice | The Conviction Law of Active Management: Derives portfolio concentration as a structural necessity, challenging the diversification paradigm (e.g., MPT, GK) (see working paper: SSRN 6649139).
• Meta-Theory | Axiom-Based Scientific Validation: Provides an axiomatic framework for assessing the scientific status of financial theories (see working paper: SSRN 6014714).
• Applications | FinTech IP & Solutions: Develops award-winning FinTech tools (e.g., EPD, FoF Optimiser, robo-advisor 2.0) bridging theory and practice.
• Specialised Valuation | Distressed Debt Pricing: Develops structural recovery models for distressed markets, integrating PE and strategic buyer valuation (see working papers: SSRN 6127566, SSRN 6308838, SSRN 6189998, SSRN 6524599).
• Methodological Toolkit: Pioneers Mechanism Dissection, Skill-Controlled View Simulation, and Comparative Subjectivity Testing, etc., making finance falsifiable.

His research explores the intersection of quantitative engineering, cognitive science, and the philosophy of decision-making. With a current focus on empirically validating Unified Portfolio Theory, his broader agenda seeks to reconcile rigorous mathematical models with human heuristics and rapidly evolving technology. He welcomes interdisciplinary collaboration and PhD enquiries in decision science, human-machine collaboration, financial informatics, and governance. Furthermore, he actively seeks partnerships across Computer Science, Psychology, Economics, and Law to incorporate interdisciplinary insights that extend theory beyond traditional finance and inform regulated practice.

SSRN Author page:

https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1171776