Investor attention and the predictability of the volatility of CNY‐CNH spreads: Evidence from a GARCH‐MIDAS model

Xiaoping Li, Zhipeng Zhang, Junyu Pan and Jihong Duan

Accounting and Finance, 2023, vol. 63, issue 5, 4939-4959

Abstract: Combining the four aspects of self‐, macro, environmental, and policy attention, using backward‐looking rolling regressions, we construct novel international and domestic investor‐attention indices using the search volume index from Google Trends together with Baidu Index to investigate how investor attention affects the CNY‐CNH spreads volatility. Moreover, comparing different GARCH‐MIDAS models and conventional GARCH‐type models is conducted concerning the out‐of‐sample volatility forecasting capability. Our results show that: (i) international and domestic investor attention has a positive impact; and (ii) the GARCH‐MIDAS models involving investor attention improve forecast accuracy. In particular, the model with domestic investor attention has an advantage in forecasting.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/acfi.13191

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:bla:acctfi:v:63:y:2023:i:5:p:4939-4959

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0810-5391

Access Statistics for this article

Accounting and Finance is currently edited by Robert Faff

More articles in Accounting and Finance from Accounting and Finance Association of Australia and New Zealand Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().