Geographic distribution of firms and expected stock returns

(2021) Geographic distribution of firms and expected stock returns. Journal of Economic Dynamics and Control, 133, Article number: 104267.

View at publisher

Description

I examine the effects of geographic distribution of firms on the expected stock returns. Information spillovers and coordinated actions by interacting managers increase the cyclicality of wages in agglomerated industries compared to dispersed industries. Consequently, geographic agglomeration provides firms a “natural hedge” against aggregate shocks. In contrast, geographically dispersed firms have higher exposure to aggregate shocks. A portfolio that goes long on geographically dispersed industries minus agglomerated industries – the GDMA portfolio – captures aggregate shocks. Stocks that co-vary closely with the GDMA portfolio returns earn higher expected returns. In the time-series, the premium is more pronounced during recessions when investors shrink from risk. In the cross-section, the premium is more pronounced among low profitable firms that are more vulnerable to adverse shocks.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

45 since deposited on 25 May 2022
25 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 231507
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Dissanayake, Ruchithorcid.org/0000-0002-6063-4174
Measurements or Duration: 18 pages
DOI: 10.1016/j.jedc.2021.104267
ISSN: 0165-1889
Pure ID: 110419159
Divisions: Current > QUT Faculties and Divisions > Faculty of Business & Law
Current > Schools > School of Economics & Finance
Copyright Owner: 2021 Elsevier B.V.
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 25 May 2022 04:48
Last Modified: 01 Mar 2024 00:28