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PINstimation
About PINstimation
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, er
Key Topics
Details
Category: Technology
pinstimation.comAI Visibility Breakdown
1
Structured Data
8
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
7
Technical AEO
2
AI Discoverability
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Source & Attribution
Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/pinstimation
Cite this score: Engagemii (2026). "AEO Score for PINstimation." Retrieved from https://engagemii.com/aeo/brands/pinstimation
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