“Empirical Corporate Finance: Opportunities and Challenges”—Editorial Synthesis of the Special Issue
Philip Sinnadurai ()
Additional contact information
Philip Sinnadurai: Independent Researcher, Sydney, NSW 2122, Australia
JRFM, 2022, vol. 15, issue 9, 1-8
Abstract:
This concept paper synthesises the special issue with an integrated discussion of all four papers published therein, from the viewpoint of the theme of this special issue: opportunities and challenges for future empirical research in corporate finance. The four papers highlight that future empirical research faces the challenge of acknowledging fundamental paradigms in the literature. These include analytical models of capital structure, agency theory, the literature on Initial Public Offering anomalies and earnings valuation. An opportunity for future empirical research is to use these foundations to contribute to emerging paradigms. The latter include the empirical evidence of the shareholder wealth effects of government investment, managerial overinvestment and the acknowledgement of unlisted entities within capital markets research.
Keywords: corporate finance; agency theory; capital structure; government shareholding; Initial Public Offerings; overinvestment; private companies; valuation (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1911-8074/15/9/377/pdf (application/pdf)
https://www.mdpi.com/1911-8074/15/9/377/ (text/html)
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:gam:jjrfmx:v:15:y:2022:i:9:p:377-:d:896981
Access Statistics for this article
JRFM is currently edited by Ms. Chelthy Cheng
More articles in JRFM from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().