pin_ll

numeric: (named) vector of model parameters
(valid names: <code>'alpha'</code>, <code>'delta'</code>, <code>'epsilon_b'</code>, <code>'epsilon_s'</code>, <code>'mu'</code>),
length must equal 5

param

numeric: vector of daily buys

numbuys

numeric: vector of daily sells

numsells

character: switch between EHO ('EHO') and Lin-Ke ('Lin_Ke') factorization

factorization

Evaluates likelihood function either utilizing factorization by Easley et. al (2010)
or Lin and Ke (2011).

Utilities for fast and stable estimation of the probability of
informed trading (PIN) in the model introduced by Easley et al. (2002)
<DOI:10.1111/1540-6261.00493> are implemented. Since the basic model developed
by Easley et al. (1996) <DOI:10.1111/j.1540-6261.1996.tb04074.x> is nested in the
former due to equating the intensity of uninformed buys and sells, functions
can also be applied to this simpler model structure, if needed.
State-of-the-art factorization of the model likelihood function as well as
most recent algorithms for generating initial values for optimization routines are implemented.
In total, two likelihood factorizations and three methodologies for
starting values are included.
Furthermore, functions for simulating datasets of daily aggregated buys and sells,
calculating confidence intervals for the probability of informed trading and posterior probabilities
of trading days' conditions are available.

pin_ll: Likelihood factorizations

Description

Usage

Arguments

Value

Details

References