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Sampling properties of the Bayesian posterior mean with an application to WALS estimation

De Luca, Giuseppe; Magnus, Jan R.; Peracchi, Franco - 2020

Many statistical and econometric learning methods rely on Bayesian ideas, often applied or reinterpreted in a frequentist setting. Two leading examples are shrinkage estimators and model averaging estimators, such as weighted-average least squares (WALS). In many instances, the accuracy of these...

Persistent link: https://www.econbiz.de/10012176861

EmmPack 1.01 : C/C++ code for use with Ox for estimation of univariate stochastic volatility models with the efficient method of moments

Sluis, Pieter J. van der - 1998

Econometric estimation using simulation techniques, such as the efficient method of moments, may betime consuming. The …

Persistent link: https://www.econbiz.de/10010533201

Tail distribution of the maximum of correlated Gaussian random variables

Botev, Zdravko I.; Mandjes, Michel; Ridder, Ad - 2015

In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...

Persistent link: https://www.econbiz.de/10011431354

Decomposing portfolio value-at-risk : a general analysis

Hallerbach, Winfried G. - 1999 - This rev.: May 10, 1999

the underlying statistical distributions, a variety of analyticalmethods and simulation-based methods are available. Aside … orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … and incremental VaR in either a non-normal analytical setting or a MonteCarlo / historical simulation context.This paper …

Persistent link: https://www.econbiz.de/10011301159

Return and risk of pairs trading using a simulation-based Bayesian procedure for predicting stable ratios of stock prices

Gatarek, Lukasz; Hoogerheide, Lennart; Dijk, Herman K. van - 2014

implicit statistical arbitrage method. We use a simulation-based Bayesian procedure for predicting stable ratios, defined in a …

Persistent link: https://www.econbiz.de/10010259626

On importance sampling for state space models

Jungbacker, Borus; Koopman, Siem Jan - 2005

and smoother and the simulation smoother which do not rely on a linear Gaussian observation equation. Furthermore, results …

Persistent link: https://www.econbiz.de/10011348357

Judging contending estimators by simulation : tournaments in dynamic panel data models

Kiviet, J. F. - 2005

their performance in simulation experiments. This leads to a list of eight methodologic aspirations. Against their … background we criticize aspects of many simulation studies that have been used in the past to compare competing estimators for … simulation design inspired by an analysis of the (non-)invariance properties of estimators and occasionally by available higher …

Persistent link: https://www.econbiz.de/10011348362

Penalized indirect inference

Blasques, Francisco; Duplinskiy, Artem - 2015

Parameter estimates of structural economic models are often difficult to interpret at the light of the underlying economic theory. Bayesian methods have become increasingly popular as a tool for conducting inference on structural models since priors offer a way to exert control over the...

Persistent link: https://www.econbiz.de/10010464781

The impact of effect size heterogeneity on meta-analysis : a Monte Carlo experiment

Koetse, Mark J.; Florax, Raymond J. G. M.; Groot, Henri … - 2007

In this paper we use Monte Carlo simulation to investigate the impact of effect size heterogeneity on the results of a …

Persistent link: https://www.econbiz.de/10011372995

Time series models with a common stochastic variance for analysing economic time series

Koopman, Siem Jan; Bos, Charles S. - 2002

The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...

Persistent link: https://www.econbiz.de/10011327834