Stacie Mintz – Turning Qualitative Fundamentals into Quantitative Factors (S7E33)

Flirting with Models

Flirting with Models is the show that aims to pull back the curtain and meet the investors who research, design, develop, and manage quantitative investment strategies.

Stacie Mintz – Turning Qualitative Fundamentals into Quantitative Factors (S7E33)

S7 E33 • Aug 3, 2026 • 47 mins

Corey Hoffstein and Stacy Mintz delve into the evolution of quant equity strategies at PGIM Quantitative Solutions. Stacy shares insights from her career, including the development of an internal risk model in 1999 and navigating the quant quake of 2007. The discussion covers the theoretical underpinnings of fundamental quant, the taxonomy of factors, and the concept of linkages in factor modeling. They explore the exclusion of traditional momentum in favor of information momentum and tackle the challenges of finding orthogonal signals. Stacy emphasizes the importance of data relevance and model resilience during market shocks. They also discuss the role of large language models in quant processes and Stacy's personal interests outside of work.

Key Points

PGIM's fundamental quant strategy focuses on identifying high-quality companies with strong growth prospects and reasonable valuations, leveraging unique factors like financing methods and board composition.
The firm emphasizes the importance of maintaining a dynamic, resilient model that adapts to different market conditions while avoiding over-reliance on simplistic or overly complex factors.
Large language models are integrated cautiously into PGIM's research process, ensuring that any insights derived align with the company's fundamental principles and add tangible value to their investment strategies.

Speakers

Corey Hoffstein

Host • 29%

Stacy Mintz

Guest • 70%

Chapters

0:00	Introduction, disclaimers, and guest introduction: Stacy Mintz from PGIM Quantitative Solutions
2:03	Stacy Mintz's career at PGIM and origins of quant equity strategies
3:46	Evidence supporting quant equity and behavioral biases
6:12	Building an internal risk model in 1999 and navigating the quant quake of 2007
10:20	Post-GFC realization: Becoming a different quant
12:16	The research shark tank and evolving the research agenda
13:07	Defining fundamental quant and theoretical underpinnings
15:14	Example of a fundamental factor: The financing factor
17:21	Taxonomy of factors in PGIM's approach
20:00	The concept of linkages in factor modeling
22:21	Exclusion of momentum and development of information momentum
24:19	Long-term research and challenges of finding orthogonal signals
25:45	Exploring recent research areas and information flow in markets
27:19	Importance of data relevance and transformation in models
28:21	Systematic approach to weighting factor scores differently
31:48	Resiliency in models during market shocks and emergent events
35:15	Learnings from COVID and the impact on factor acceptance
37:41	Role and risks of large language models in quant processes
38:58	Turning qualitative metrics into systematic signals
42:28	Managing risks of large language models in research
45:12	Personal obsessions outside of work: Parenting adult children

Transcript

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