Definition. A market-microstructure paper studies how prices form: limit order books, market making, impact, adverse selection, liquidity. The genre splits cleanly into theory (stochastic models of books and dealers) and empirics (measurement on tick data), and each half fails differently — so the first evaluation step is deciding which paper you’re holding, because the checklists barely overlap.
The worked example: true here, false there
An empirical paper measures order-book-imbalance predictability: top-of-book imbalance predicts the next mid-move with 65% accuracy on NASDAQ large caps, 2014, ITCH data. Every word of that sentence is a scope condition. The same measurement on small caps (wider ticks, sparser books), on 2024 data (different HFT ecology), on a crypto CLOB (different fee/queue mechanics), or from a consolidated SIP feed (different timestamps, no queue detail) can shrink toward coin-flip. The paper is correct; the reader who deploys it on Binance perpetuals is not. Microstructure results are the most venue- and era-local in all of quant finance — generalization is the reader’s risk, not the author’s claim.
The empirical checklist
- ☐ Dataset provenance first: exchange-native feed with order IDs (ITCH/OUCH-class), consolidated tape, or vendor-processed book snapshots? Results about queues and cancellations require the first; papers inferring them from trades-and-quotes are estimating, not measuring.
- ☐ Venue, universe, period stated and narrow: treat every result as tagged with them. Check whether the sample predates structural breaks (maker-taker changes, tick-size regimes, the venue’s HFT maturity).
- ☐ Timestamp discipline: exchange vs receipt time, clock sync across feeds — at these horizons timestamp semantics is the methodology.
- ☐ Microstructure noise handled: bid-ask bounce and discreteness masquerade as predictability and inflate high-frequency volatility estimates; look for noise-robust estimators or mid-quote (not trade-price) construction.
- ☐ Economic translation with maker/taker realism: a 55% next-tick edge is worthless crossing the spread and possibly viable providing liquidity — which flips the relevant cost model from taker fees to queue position and adverse selection.
The theory checklist
- ☐ Assumption audit as the whole game: Poisson arrivals, exponential fills, constant spreads, no feedback from the agent’s own quotes — each is a known counterfactual. The question isn’t purity; it’s which assumption, when relaxed, kills the conclusion.
- ☐ Calibration section present? Theory papers that fit their model to any real book earn a rigor tier above those that don’t; “Lab Rats” quadrant placement is the default otherwise.
- ☐ Testable prediction extracted: the best theory papers imply a measurement someone could run. If you can’t state one, the paper is mathematics with market-flavored notation — sometimes valuable, never evidence.
Questions to ask while reading
- Would this result survive on a different venue, era, or fee structure — and does the paper test even one?
- What data would I need to reproduce this, and can it be bought?
- For prediction claims: is the horizon before or after the venue’s round-trip latency makes it actionable?
- For theory: which single assumption does the conclusion lean on hardest?
- Is “liquidity” defined as spread, depth, resiliency, or impact — and consistently?
What our scoring captures — and misses
The quadrant system was practically designed for this genre: the theory half lands in Lab Rats, the measurement half in Street Traders, and papers doing both — model plus calibration — surface as Holy Grail. The structural blind spot is scope: rigor scores reward how well a paper establishes its claim, not how far the claim travels, and microstructure claims travel worse than any other genre’s. Read the hub with venue-and-period tags in your head; the score tells you the paper is sound, not that it’s yours.
Companions: LOB imbalance: measures and misses → · Market making mechanics → · HFT & execution hub → · From the corpus: VWAP prediction: methods and benchmarks →