Stock market reaction to inflation announcement in the Indian stock market: A sectoral analysis
Gurmeet Singh,
Lakshmi Padmakumari and
David McMillan
Cogent Economics & Finance, 2020, vol. 8, issue 1, 1723827
Abstract:
This study investigates the reaction of stock returns to the inflation announcement using time series data from 2012 to 2018. To check the market efficiency or semi-strong efficiency of the Indian Stock Market for inflation announcement, we have used an event study methodology. We selected nine events based on consensus estimate and actual inflation number; we put events into subgroups based on over-estimation, under-estimation, and accurate estimation. We performed an event study on inflation-sensitive sectors such as Banking, Energy, Realty, Service, and FMCG. To check for the above objectives, we calculated Average Abnormal Return (AAR), Cumulative Abnormal Return (CAR), and Cumulative Average Abnormal Return (CAAR). The finding of the study suggests that there are considerable abnormal returns, which are a function of the sector and the regime. Some sectors are more sensitive to inflation announcements, and some regimes are again more sensitive to inflation announcements.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2020.1723827 (text/html)
Access to full text is restricted to subscribers.
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:taf:oaefxx:v:8:y:2020:i:1:p:1723827
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20
DOI: 10.1080/23322039.2020.1723827
Access Statistics for this article
Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang
More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().