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- All HBS Web (11)
- Faculty Publications (4)
Show Results For
- All HBS Web (11)
- Faculty Publications (4)
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- 2021
- Working Paper
Going by the Book: Valuation Ratios and Stock Returns
By: Ki-Soon Choi, Eric So and Charles C.Y. Wang
We study the use of firms’ book-to-market ratios (B/M) in value investing and its implications for comovements in firms’ stock returns and trading volumes. We show B/M has become increasingly detached from common alternative valuation ratios over time while also... View Details
Choi, Ki-Soon, Eric So, and Charles C.Y. Wang. "Going by the Book: Valuation Ratios and Stock Returns." Harvard Business School Working Paper, No. 21-126, May 2021.
- August 2020
- Article
Financial Market Risk Perceptions and the Macroeconomy
By: Carolin E. Pflueger, Emil Siriwardane and Adi Sunderam
We propose a novel measure of risk perceptions: the price of volatile stocks (PVS), defined as the book-to-market ratio of low-volatility stocks minus the book-to-market ratio of high-volatility stocks. PVS is high when perceived risk directly measured from surveys and... View Details
Keywords: Risk-centric Business Cycles; Cross-section Of Equities; Real Risk-free Rate; Real Investment; Financial Markets; Risk and Uncertainty; Perception; Investment
Pflueger, Carolin E., Emil Siriwardane, and Adi Sunderam. "Financial Market Risk Perceptions and the Macroeconomy." Quarterly Journal of Economics 135, no. 3 (August 2020).
- 06 Dec 2021
- News
The Popular Stock Metric That Can Lead Investors Astray
- Research Summary
The Cross Section of Expected Firm (Not Equity) Returns
This paper provides the first comprehensive study of expected firm (unlevered equity) returns. After accounting for the debt component of the firm return, I find that many of the cross sectional determinants of expected equity returns, such as the book-to-market... View Details
- 2007
- Working Paper
Evidence from Goodwill Non-impairments on the Effects of Unverifiable Fair-Value Accounting
By: Karthik Ramanna and Ross L. Watts
SFAS 142 requires firms to use unverifiable fair-value estimates to determine goodwill impairments. Standard setters suggest managers will use the discretion given by such estimates to convey private information on future cash flows, while agency theory predicts... View Details
Ramanna, Karthik, and Ross L. Watts. "Evidence from Goodwill Non-impairments on the Effects of Unverifiable Fair-Value Accounting." Harvard Business School Working Paper, No. 08-014, August 2007.
- 10 Jun 2008
- First Look
First Look: June 10, 2008
with book goodwill and two successive years of book-to-market ratios above one). We find non-impairment of goodwill is increasing in firm characteristics predicted to be associated with greater managerial... View Details
Keywords: Martha Lagace
- 02 Apr 2013
- First Look
First Look: April 2
https://www.hbs.edu/faculty/Pages/item.aspx?num=41870 Expected Returns Dynamics Implied by Firm Fundamentals By: Lyle, Matthew R., and Charles C.Y. Wang Abstract—We provide a tractable stock valuation model to study the dynamics of firm-level expected returns and their valuation... View Details
Keywords: Sean Silverthorne
- 06 Mar 2018
- First Look
First Look at Research and Ideas, March 6, 2018
their businesses to shareholders through stock buybacks and dividends rather than invest for the long term, undermining job growth and putting the country’s economic future at risk, often pointing to the high ratio of shareholder payouts... View Details
Keywords: Sean Silverthorne
- 11 Dec 2012
- First Look
First Look: Dec. 11
fundamentals: the book-to-market ratio and expected ROE. We find that the model is easily applied to a large cross section of firms and that firm-level discount rates vary over time and are highly... View Details
Keywords: Sean Silverthorne
- 08 Oct 2013
- First Look
First Look: October 8
firm-level expected returns and their valuation impact using two firm fundamentals: book-to-market ratio and ROE. Applying the model to the cross-section of firms, we find that expected returns and expected... View Details
Keywords: Sean Silverthorne