The Financial Statements of Investment Companies

Loading...
Thumbnail Image
Degree type
Doctor of Philosophy (PhD)
Graduate group
Accounting
Discipline
Business
Subject
financial statements
fund flows
mutual funds
Funder
Grant number
License
Copyright date
01/01/2024
Distributor
Related resources
Author
Li, James
Contributor
Abstract

This dissertation investigates investment companies’ financial statements as a source of information for analyzing their performance. In the first chapter, I isolate ten financial statement components that reflect investment companies’ portfolio management and operating actions that may be predictive of future fund performance. I test these components in a large sample of domestic active equity mutual funds and find that they improve prediction of future fund performance to 2.4% annually out-of-sample. Despite the usefulness of the information, fund investors do not appear to significantly react to the financial report filings: investor flows for open-end funds and premiums/discounts for closed-end funds do not significantly change after filings or in filing months. The observed inaction appears further unrelated to investors’ investment frictions and is weakly associated with their sophistication. In the second chapter, I reproduce my analyses for fixed income investment companies, which represent a different asset class with potentially differing portfolio management and operating actions. In a large sample of domestic active fixed income mutual funds, I find that these financial statement components improve prediction of future performance to 1.3% annually out-of-sample. However, fixed income fund investors also do not appear to significantly react to funds’ financial report filings. Altogether, this dissertation presents new evidence on the information content of investment companies’ financial statements and the value-relevance of financial reporting in the investment company marketplace.

Advisor
Holthausen, Robert
Bushee, Brian
Date of degree
2024
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation