Assistant Professor of Finance · Texas State University

How retail traders, new markets & AI reshape finance.

I study the behavior of retail investors in options and cryptocurrency markets — and what modern AI means for finance research and teaching. My work appears in the Journal of Financial Markets, the Journal of Behavioral and Experimental Finance, and Finance Research Letters.

AVAILABLE FOR SPEAKING & COLLABORATION
Matthew Flynn
Doctorate
PhD in Finance, Auburn University (2024)
Appointment
Assistant Professor, Texas State University
Focus
Retail Trading · Options · Crypto · AI
01 — About

A researcher at the edge of markets and behavior.

I'm an assistant professor of finance at Texas State University's McCoy College of Business. My research asks how real investors actually behave — why retail traders gamble on stock and Bitcoin options, how banking access shapes who participates in crypto, and how markets price political uncertainty in real time.

Alongside the empirical work, I think hard about what AI means for finance — as a research method, as a teaching challenge, and as a force reshaping the industry. I've spoken on treating AI as a teammate rather than a tool, and my current projects apply textual analysis and machine learning to retail investor behavior.

ARetail Trader Behavior
BOptions Markets
CCryptocurrency & FinTech
DBehavioral Finance
ETextual Analysis & NLP
FAI in Finance & Teaching
02 — Research

Publications & working papers.

SSRN →
Under review & in progress

Automation and High-Skill Labor Markets: Evidence from Robo-Advisors

Under review · Review of Financial Studies

Halo Effects in Asset Prices: Evidence from Televised Business Pitches

Presented at EFMA 2026 · Kristiansand, Norway

Retail Trader Lexicon and Market Impacts: Evidence from Reddit

Supported by a Texas State REP grant

When War Hits Home: Civilian Insecurity, State Conflict, and Crypto Adoption

Working paper

The Sharks are Circling: What We Can Learn about Venture Capital Funding from Shark Tank

Working paper

Breaking the Ice or the Deal? Entrepreneurial Humor, First Impressions, and Investor Funding Decisions

Manuscript in preparation · Target: J. of Management
03 — Teaching

Finance, taught for an AI world.

Recognition
York Fellowship — Auburn University, 2023–24
Best Paper in Investments nominee — FMA Annual Meeting, 2023
Research Enhancement Program grant — Texas State University, 2024

I teach across the undergraduate and graduate finance curriculum, and I care about preparing students to think well alongside AI — the subject of my workshop "AI as a Teammate, not a Tool" at Texas State's AI in Teaching and Learning Symposium.

Texas State University
Business FinanceFIN 3312
Financial Theory & Corporate PolicyQFE 5330
Internship & Independent StudyQFE 5369 / 5395
Auburn University
Principles of Business FinanceFINC 3610
Go deeper

My AI & data methods, talks, and how to work with me.

A closer look at the methods behind the research — plus conference talks, workshops, and speaking on AI in finance and teaching.

Explore methods
04 — Contact

Let's talk.

Whether it's a research collaboration, a speaking invitation, or a conversation about AI in finance — I'd be glad to hear from you.