compute_ekop_lik: Computes the modified likelihood from the EKOP model

In simonsays1980/bayespin: An R package for Bayesian estimation of the probability of informed trading

Description

Calling compute_ekop_lik() computes the modified likelihood function from the model of Easley et al. (1996). The modifications are presented in the paper by Easley et al. (2002) and are applied to the scenario of equal buy and sell rates in the model.

Optimization is performed over the logit transformation of the ratios alpha and delta and therefore these parameter logits get transformed in the likelihood function via the logistic transformation exp()/(1+exp()).

Usage

compute_ekop_lik(data, par, T, methodLik = c("precise", "approx"))

Arguments

data	A data.frame containing the trades data in the following order: mis-specified buys, mis-specified sells, buyer-initiated trades, seller-initiated trades and finally the total number of trades on a specific trading day.
par	A vector specifying the parameter values at which the function should be evaluated. The parameter order is alpha, epsilon, delta, and mu.
T	A double indicating the length of a trading day in minutes.
methodLik	A character specifying, if undefined function values in optimization should be approximated by large defined values (1e+6). This can help to make maximum likelihood estimation more stable.

Value

A double holding the likelihood value of the data and parameter values passed in.

References

• Easley, D., Kiefer, N., O’Hara, M., Paperman, J., 1996. Liquidity, information, and infrequently traded stocks. Journal of Finance 51, 1405–1436.

• Easley, David, Hvidkjaer, Soeren, and O’Hara, Maureen (2002). “Is Information Risk a Determinant of Asset Returns?” In: The Journal of Finance 57.5, pp. 2185–2221. DOI: 10.1111/1540-6261.00493.

See Also

• estimate_mlekop() for the calling function

• compute_ekop_orig_lik() for the original likelihood function of the paper by Easley et al. (1996)

simonsays1980/bayespin documentation built on Dec. 23, 2021, 2:25 a.m.