Open Access. Powered by Scholars. Published by Universities.®

Econometrics Commons

Open Access. Powered by Scholars. Published by Universities.®

Finance

Series

Decision theory

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Econometrics

Optimal Nonparametric Range-Based Volatility Estimation, Tim Bollerslev, Jia Li, Qiyuan Li Jan 2024

Optimal Nonparametric Range-Based Volatility Estimation, Tim Bollerslev, Jia Li, Qiyuan Li

Research Collection School Of Economics

We present a general framework for optimal nonparametric spot volatility estimation based on intraday range data, comprised of the first, highest, lowest, and last price over a given time-interval. We rely on a decision-theoretic approach together with a coupling-type argument to directly tailor the form of the nonparametric estimator to the specific volatility measure of interest and relevant loss function. The resulting new optimal estimators offer substantial efficiency gains compared to existing commonly used range-based procedures.


Bayesian Hypothesis Testing In Latent Variable Models, Yong Li, Jun Yu Feb 2012

Bayesian Hypothesis Testing In Latent Variable Models, Yong Li, Jun Yu

Research Collection School Of Economics

Hypothesis testing using Bayes factors (BFs) is known not to be well defined under the improper prior. In the context of latent variable models, an additional problem with BFs is that they are difficult to compute. In this paper, a new Bayesian method, based on the decision theory and the EM algorithm, is introduced to test a point hypothesis in latent variable models. The new statistic is a by-product of the Bayesian MCMC output and, hence, easy to compute. It is shown that the new statistic is appropriately defined under improper priors because the method employs a continuous loss function. …