Publications
The
conditional CAPM does not explain asset-pricing anomalies
with
Stefan Nagel
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Recent
studies suggest that the conditional CAPM might hold,
period-by-period, and that time-variation in risk and expected
returns can explain why the unconditional CAPM fails.
We argue, however, that variation in betas and the equity
premium would have to be implausibly large to explain important
asset-pricing anomalies like momentum and the value premium.
We also provide a simple new test of the conditional CAPM
using direct estimates of conditional alphas and betas from
short-window regressions, avoiding the need to specify conditioning
information.
The tests show that the conditional CAPM performs nearly as
poorly as the unconditional CAPM, consistent with our analytical
results.
Forthcoming in Journal of Financial Economics (revised
February 2005)
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Stock
returns, aggregate earnings surprises, and behavioral finance
with
S.P. Kothari and Jerold Warner
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We
study the stock market's reaction to aggregate earnings news.
Prior research shows that, for individual firms, stock
prices react positively to earnings news but require several
quarters to fully reflect the information in earnings.
We find a substantially different pattern in aggregate data.
First, returns are unrelated to past earnings, suggesting
that prices neither underreact nor overreact to aggregate earnings
news.
Second, aggregate returns correlate negatively with
concurrent earnings; over the last 30 years, for example, stock prices increased
5.7% in quarters with negative earnings growth and only 2.1%
otherwise.
This finding suggests that earnings and discount rates move
together over time, and provides new evidence that discount-rate
shocks explain a significant fraction of aggregate stock returns.
Forthcoming in Journal of Financial
Economics (revised May 2005)
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Predicting
returns with financial ratios
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This
article studies whether
financial ratios like dividend yield can predict aggregate stock returns.
Predictive regressions are subject to small-sample biases,
but the correction by previous studies can substantially understate
forecasting power.
I show that dividend yield predicts market returns from 1946
– 2000, as well as in various subsamples.
Book-to-market and the earnings-price ratio predict returns
during the shorter sample 1963 – 2000.
The evidence remains strong despite the unusual price run-up
in recent years.
Journal of Financial Economics 74 (November 2004), 209-235.
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Discussion
of 'The Internet downturn: Finding valuation factors in Spring 2000'
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This
article reviews ‘The Internet downturn: Finding valuation factors
in Spring 2000’ by Elizabeth Keating, Thomas Lys, and Robert Magee
(KLM).
Their paper contributes to a growing literature on the
valuation of Internet firms, finding a number of strong relations
among market prices, financial ratios, and assorted ‘new
economy’ measures of performance.
I argue that their results tell us more about investors’
(mis-) perceptions in Spring 2000 than about the underlying
economics of Internet firms.
Moreover, the valuations seem unlikely to repeat.
KLM’s findings may not generalize to other firms or time
periods.
Journal of Accounting and Economics
34 (January 2003), 237-247
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Learning,
asset-pricing tests, and market efficiency
with Jay Shanken
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This
paper studies the asset-pricing implications of parameter uncertainty.
We show that, when investors must learn about expected cash flows,
empirical tests can find patterns in the data that differ from those
perceived by rational investors. Returns might appear predictable to an econometrician, or
appear to deviate from the CAPM, but investors can neither perceive nor
exploit this predictability. Returns
may also appear excessively volatile even though prices react efficiently
to cash flow news. We conclude
that parameter uncertainty can be important for characterizing and testing
market efficiency.
Journal
of Finance 57 (June 2002), 1113-1145
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Momentum
and autocorrelation in stock returns
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This
paper studies momentum in stock returns, focusing on the role of industry,
size, and book-to-market (B/M) factors.
Size and B/M portfolios exhibit momentum as strong as that in
individual stocks and industries.
The size and B/M portfolios are well diversified, so momentum
cannot be attributed to firm- or industry-specific returns.
Further, industry, size, and B/M portfolios are negatively
autocorrelated and cross-serially correlated over intermediate horizons.
The evidence suggests that stocks covary ‘too strongly’ with
each other.
I argue that excess covariance, not underreaction, explains
momentum in the portfolios.
Review of Financial Studies
15 (Special 2002), 533-563.
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The
time-series relations among expected return, risk, and book-to-market
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This
paper examines the time-series relations among expected return, risk, and
book-to-market (B/M) at the portfolio level.
I find that B/M predicts economically and statistically significant
time-variation in expected stock returns.
Further, B/M is strongly associated with changes in risk, as
measured by the Fama and French (1993) three-factor model.
After controlling for risk, B/M provides no incremental information
about expected returns.
The evidence suggests that the three-factor model explains
time-varying expected returns better than a characteristics-based model.
Journal
of Financial Economics 54 (October 1999), 5-43
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On
the Predictability of Stock Returns: Theory and Evidence
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Empirical
studies show that stock returns are predictable both cross-sectionally and
over time. Broadly speaking, this dissertation investigates whether the
empirical patterns are consistent with market efficiency. The paper consists of two essays. In the first essay, I
investigate the ability of firms’ book-to-market ratios to predict
returns, which has been documented extensively in cross-sectional tests.
To help understand the source of this predictability, I examine the
time-series relations among expected return, risk, and book-to-market. I
show that book-to-market captures significant
time-variation in risk, but provides no incremental information about
expected returns. In the second essay, I explore the effects of estimation
risk, or investor uncertainty about the parameters of the cashflow
process, on the behavior of prices and returns. I show that, with
estimation risk, the observable properties of prices and returns can
differ significantly from the properties perceived by rational investors.
Estimation risk can generate return predictability in
ways that resemble irrational pricing.
Dissertation
(Simon Graduate School of Business Administration, University of
Rochester), 2000.
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