Filter Results:
(5)
Show Results For
- All HBS Web
(32)
- Faculty Publications (5)
Show Results For
- All HBS Web
(32)
- Faculty Publications (5)
Page 1 of 5
Results
- 2021
- Working Paper
Stock Investors' Returns Are Exaggerated
By: Jesse M. Fried, Paul Ma and Charles C.Y. Wang
The stock market generates less wealth than it appears. We show that total shareholder return (TSR), the standard measure of stock investor performance, substantially exaggerates returns earned by these investors in aggregate, and thus by most investors. The main... View Details
Keywords: All-shareholder Returns; Capital Flows; Dividend Reinvestment; Equity Premium; Total Shareholder Returns; Stocks; Investment Return; Market Timing
Fried, Jesse M., Paul Ma, and Charles C.Y. Wang. "Stock Investors' Returns Are Exaggerated." Harvard Business School Working Paper, No. 22-036, November 2021.
- April 2021
- Article
Evaluating Firm-Level Expected-Return Proxies: Implications for Estimating Treatment Effects
By: Charles M.C. Lee, Eric C. So and Charles C.Y. Wang
We introduce a parsimonious framework for choosing among alternative expected-return proxies (ERPs) when estimating treatment effects. By comparing ERPs’ measurement-error variances in the cross section and in time series, we provide new evidence on the relative... View Details
Keywords: Implied Cost Of Capital; Expected Returns; Cost of Capital; Investment Return; Performance Evaluation
Lee, Charles M.C., Eric C. So, and Charles C.Y. Wang. "Evaluating Firm-Level Expected-Return Proxies: Implications for Estimating Treatment Effects." Review of Financial Studies 34, no. 4 (April 2021): 1907–1951.
- Article
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR website, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Perception; Internet and the Web; Investment
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Journal of Financial Economics 116, no. 2 (May 2015): 410–431.
- 2016
- Working Paper
The Search for Peer Firms: When Do Crowds Provide Wisdom?
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
In knowledge-based economies, many business enterprises defy traditional industry boundaries. In this study, we evaluate six "big data" approaches to peer firm identifications and show that some, but not all, "wisdom-of-crowd" techniques perform exceptionally well. We... View Details
Keywords: Peer Firm; EDGAR Co-search; Analyst Co-coverage; Wisdom Of Crowds; Performance Benchmarking; Crowd Of Crowds; Internet and the Web; Accounting
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "The Search for Peer Firms: When Do Crowds Provide Wisdom?" Harvard Business School Working Paper, No. 15-032, October 2014. (Revised November 2016.)
- 2014
- Working Paper
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)