monty-se / 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, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.
RepositoryStats indexes 579,555 repositories, of these monty-se/PINstimation is ranked #546,625 (6th percentile) for total stargazers, and #476,089 for total watchers. Github reports the primary language for this repository as R, for repositories using this language it is ranked #3,219/3,319.
monty-se/PINstimation has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.
There have been 4 releases, the latest one was published on 2023-03-21 (about a year ago) with the name PINstimation v0.1.2.
Homepage URL: https://pinstimation.com/
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updated: 2024-11-05 @ 02:57pm, id: 495844034 / R_kgDOHY36wg