A published anomaly earns 12.3% a year over sixty years of US data; seven years of Australian data give a t-statistic of 1.0. What a short sample can say, how microstructure can fake a result, and a protocol that makes either answer informative.
Investors who must trade leave predictable footprints. Three simulations show how the obvious measurements misread them, why competing anticipators can erase the reversal studies look for, and a one-page card that prevents both mistakes.
“Buy” is not an instruction. A forecast curve, a liquidity profile and a cost model together determine a trading path. Three results every portfolio manager should know, and a toy optimiser that shows them.
An event study of intraday 8-K filings from 2015 to 2025, comparing three generations of sentiment models and what their results suggest about technology, alpha decay and trading returns.
Accounting identities, factor regressions and investment skill are different claims. Two synthetic examples show what reconciliation proves, how scaling changes attribution, and why a fitted residual is not evidence of alpha.
The same price path can produce several different decay curves. A worked example separates marked returns, delayed entry and hindsight opportunity—and explains what a decision-relevant cost of waiting must specify.
This material is for information only. It is not investment advice or a recommendation to trade. See each paper for its methodology and full disclaimer.