Transportation sector and Chinese stock volatility forecasting: Evidence from freight and passenger traffic

Lili Zhang and Juandan Zhong

Finance Research Letters, 2024, vol. 60, issue C

Abstract: Based on the GARCH-MIDAS model, this paper explores the forecasting power of four transportation sub-sectors. The empirical results show that the freight volume and passenger traffic of air aviation outperform other models during MCS and DoC tests. This illustrates the important role of air aviation in the operation of a country's economy. The findings of this paper could help the government to formulate infrastructure planning and provide insights into the allocation of different resources to different transportation sectors.

Keywords: Volatility forecasting; Transportation sector; GARCH-MIDAS (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S154461232301334X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:60:y:2024:i:c:s154461232301334x

DOI: 10.1016/j.frl.2023.104962

Access Statistics for this article

Finance Research Letters is currently edited by R. Gençay

More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().