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A General Quantile Function Model for Economic and Financial Time Series

Yuzhi Cai Orcid Logo

Econometric Reviews, Volume: 35, Issue: 7, Pages: 1173 - 1193

Swansea University Author: Yuzhi Cai Orcid Logo

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DOI (Published version): 10.1080/07474938.2014.976528

Abstract

This article proposed a general quantile function model that covers both one- and multiple-dimensional models and that takes several existing models in the literature as its special cases. This article also developed a new uniform Bayesian framework for quantile function modelling and illustrated th...

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Published in: Econometric Reviews
ISSN: 0747-4938 1532-4168
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa21661
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Abstract: This article proposed a general quantile function model that covers both one- and multiple-dimensional models and that takes several existing models in the literature as its special cases. This article also developed a new uniform Bayesian framework for quantile function modelling and illustrated the developed approach through different quantile function models. Many distributions are defined explicitly only via their quanitle functions as the corresponding distribution or density functions do not have an explicit mathematical expression. Such distributions are rarely used in economic and financial modelling in practice. The developed methodology makes it more convenient to use these distributions in analyzing economic and financial data. Empirical applications to economic and financial time series and comparisons with other types of models and methods show that the developed method can be very useful in practice.
Keywords: German DAX, currency exchange rates, quantile functions models, Bayesian
College: Faculty of Humanities and Social Sciences
Issue: 7
Start Page: 1173
End Page: 1193

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