---
title: "About this book"
subtitle: "How the curriculum was built, the editorial standard, and how it fits into ASSIP 2026."
pagetitle: "About — Empirical Finance from the Ground Up (ASSIP 2026)"
description-meta: >
  How the ASSIP 2026 Empirical Finance textbook was drafted, the
  editorial honesty policy, and how to contribute. Hosted by Prof. Lei
  Gao for the GMU ASSIP 2026 cohort.
toc: true
number-sections: false
---

## What this is

This site is the textbook, lab manual, instructor manual, and capstone
gallery for the **Empirical Finance research group of ASSIP 2026 — the
Aspiring Scientists Summer Internship Program** at George Mason
University's College of Science. It runs as **eight full-time weeks**
(Mon–Fri 9 am – 5 pm) from **Mon Jun 22, 2026** through the **ASSIP
Research Symposium on Wed Aug 12, 2026**, with orientation on Thu Jun
18 and the holidays Jun 19 (Juneteenth) and Jul 3 (Independence Day
observance) off.

The curriculum is built around real datasets (CRSP, Compustat, HMDA,
EDGAR, FRED, USPTO, and more — see the
[data dictionary](book/appendices/C-data-dictionary/README.md)) and
real methods (OLS and its standard-error pathologies, IV, DiD, RD,
synthetic control, shift-share, event studies, text-as-data, and an AI
copilot lab).

## Who runs it

- **Faculty mentor:** **[Prof. Lei Gao](https://business.gmu.edu/)**,
  Associate Professor of Finance at George Mason University's Costello
  College of Business. **Prof. Gao's 2026 ASSIP slot is officially
  REMOTE only.**
- **ASSIP director:** **Dr. Amanda Haymond Still**, GMU College of
  Science. Program contact: `cosassip@gmu.edu`.
- **Cohort:** 14 advanced high-school students (15+) and pre-graduation
  undergraduates, selected by GMU's College of Science. Typical ASSIP
  group size is 2–15, so 14 is the high end and is run with a
  **layered mentorship model**: faculty mentor over the whole cohort,
  with PhD / RA sub-leaders working sub-pods on data engineering,
  identification, and writing.

## The ASSIP context

ASSIP (Aspiring Scientists Summer Internship Program) is GMU's
flagship summer research internship for advanced high-school students
(age 15+; 16+ for in-person wet-lab tracks — not applicable to our
remote slot) and undergraduates who have not yet graduated. There is
**no minimum GPA**. Students may participate in at most two summer
sessions. The program costs a **$25 application fee plus $1,299
tuition**, and **full tuition waivers are available** for
Pell-eligible and reduced-lunch students.

Completion yields:

- A **research poster at the ASSIP Research Symposium** (Wed Aug 12,
  2026) — the required core deliverable, with in-person poster
  sessions for on-site interns and virtual breakouts for remote
  interns (our cohort works virtually).
- A **research abstract** published in the *Journal of
  Student-Scientists' Research* (JSSR, GMU Mason Publishing).
- An optional **full paper** for projects that support it.
- **3 GMU College of Science credits.**
- Participation in the ASSIP **scientific-writing and career forum**.

## How it was drafted

The textbook was drafted in a **multi-agent workflow** under human
editorial supervision. The pipeline runs roughly:

1. A **planner** drafts a chapter outline from the syllabus and prior
   reviews, with handoff notes for the writer.
2. A **writer** produces the chapter, the worked examples, the problem
   set, and the companion notebook.
3. A **reviewer** reads the chapter against the planner's outline and
   the editorial standard, flags issues, and writes a revision memo.
4. A **human editor** (Prof. Gao) accepts, rejects, or rewrites — and
   resolves any disagreement between the planner and the reviewer.

Every artifact you see — chapters, problem sets, solution sketches,
notebooks, data cards, capstone specs — went through this pipeline.
The handoff notes are kept under [`agents/handoffs/`](https://github.com/edwardlg/assip-2026-empirical-finance/tree/main/agents/handoffs)
so the editorial process itself is auditable.

## The `[CHECK]` policy

Empirical finance is full of numbers that are *almost right* — a
coefficient quoted from memory, a year off by one, a sample period
that does not quite match the source. The honest way to handle that is
to flag the uncertainty in line, not to launder it into confidence.

Throughout the book you will see tags like:

> The HML factor earned an annualized premium of roughly 4.3 %
> in 1963–1990 `[CHECK against Fama-French 1993 Table 4]`.

A `[CHECK]` is **not** a typo or a TODO. It is an explicit statement
that the surrounding number, claim, or attribution has not yet been
independently verified against a primary source. Tagged claims are
true to the best of the writer's knowledge but the verification step
has not been logged. Students are encouraged to do that verification
themselves and submit corrections.

## A note on synthetic results

The five **capstone projects** ship with illustrative result tables and
figures. Where a capstone shows an estimate — a coefficient, a
t-statistic, a balance table — that estimate is a **synthetic
illustration** generated from realistic but simulated data, *not* a
publication-quality replication. Each capstone landing page carries a
prominent banner saying so. Students executing the capstone for real
will obtain different (and we hope, more interesting) results.

## A note on math

Math is rendered with **KaTeX** for speed and clean typography. Display
equations use the standard double-dollar block:

$$
\widehat{\boldsymbol{\beta}} = (\mathbf{X}'\mathbf{X})^{-1}\mathbf{X}'\mathbf{y},
\qquad
\widehat{\mathrm{Var}}(\widehat{\boldsymbol{\beta}}) =
(\mathbf{X}'\mathbf{X})^{-1}\mathbf{X}' \widehat{\boldsymbol{\Omega}} \mathbf{X} (\mathbf{X}'\mathbf{X})^{-1}.
$$

Inline math like $\Pr(A \mid B) = \Pr(A,B) / \Pr(B)$ uses single dollars.
If a formula does not render, it is a bug — please
[open an issue](https://github.com/edwardlg/assip-2026-empirical-finance/issues/new).

## How to contribute

There are three good ways to help.

### Submit a correction

If you find a `[CHECK]` you can resolve, or a flat error you can fix,
the recommended path is:

1. Fork the repo on GitHub.
2. Edit the relevant `.md` file.
3. Open a pull request with the source of the corrected fact in the
   description.

### Suggest a problem

Problem sets are the most valuable contribution. A good problem
- has a unique correct answer (or a unique correct approach),
- uses only data students can actually obtain,
- ties to a specific chapter and learning objective, and
- comes with a short solution sketch in the same style as the existing
  ones.

### Suggest a reading

Week 5 and Week 6 are reader's-guide weeks. If there is a paper that
*belongs* in the empirical-finance core for advanced high-school and
pre-graduation undergraduate researchers and is not here,
[open an issue](https://github.com/edwardlg/assip-2026-empirical-finance/issues/new)
with the citation and a one-paragraph case.

## License and citation

The text and notebooks are released under
[**CC BY-NC-SA 4.0**](https://creativecommons.org/licenses/by-nc-sa/4.0/).
Code blocks inside the notebooks are additionally released under MIT.

Suggested citation:

> Gao, L. (2026). *Empirical Finance from the Ground Up — ASSIP 2026
> Cohort.* Costello College of Business, George Mason University.
> <https://edwardlg.github.io/assip-2026-empirical-finance/textbook/>

## Contact

- Editorial questions, errata, and partnership inquiries:
  **lgao9 (at) gmu.edu** (Prof. Lei Gao).
- ASSIP program logistics, applications, and admissions:
  **cosassip (at) gmu.edu** (Dr. Amanda Haymond Still, ASSIP Director).
