User profiles for G. W. Schwert
G. William SchwertDistinguished University Professor Emeritus of Finance and Statistics, University of … Verified email at simon.rochester.edu Cited by 41631 |
Anomalies and market efficiency
GW Schwert - Handbook of the Economics of Finance, 2003 - Elsevier
Anomalies are empirical results that seem to be inconsistent with maintained theories of
asset-pricing behavior. They indicate either market inefficiency (profit opportunities) or …
asset-pricing behavior. They indicate either market inefficiency (profit opportunities) or …
Short-term interest rates as predictors of inflation: On testing the hypothesis that the real rate of interest is constant
CR Nelson, GW Schwert - The American Economic Review, 1977 - JSTOR
In an innovative and provocative paper in this Review, Eugene Fama presents evidence
which appears to be consistent with the joint hypothesis that the real rate of in-terest, ignoring …
which appears to be consistent with the joint hypothesis that the real rate of in-terest, ignoring …
Securities transaction taxes: an overview of costs, benefits and unresolved questions
GW Schwert, PJ Seguin - Financial Analysts Journal, 1993 - Taylor & Francis
… William Schwert is the Gleason Professor of Finance and Statistics at the William E. Simon
… Schwert shows that stock volatility has not been unusually high, except for a brief period …
… Schwert shows that stock volatility has not been unusually high, except for a brief period …
Heteroskedasticity in stock returns
GW Schwert, PJ Seguin - the Journal of Finance, 1990 - Wiley Online Library
We use predictions of aggregate stock return variances from daily data to estimate time‐varying
monthly variances for size‐ranked portfolios. We propose and estimate a single factor …
monthly variances for size‐ranked portfolios. We propose and estimate a single factor …
Stock returns and real activity: A century of evidence
GW Schwert - The Journal of Finance, 1990 - Wiley Online Library
This paper analyzes the relation between real stock returns and real activity from 1889–1988.
It replicates Fama's (1990) results for the 1953–1987 period using an additional 65 years …
It replicates Fama's (1990) results for the 1953–1987 period using an additional 65 years …
Effects of model specification on tests for unit roots in macroeconomic data
GW Schwert - Journal of monetary economics, 1987 - Elsevier
… GW Schwert, Unit root tests for macroeconomic … GW Schwert, Unit root tests for
macroeconomic … GW Schwert, Unit root tests for macroeconomic data …
macroeconomic … GW Schwert, Unit root tests for macroeconomic data …
Alternative models for conditional stock volatility
AR Pagan, GW Schwert - Journal of econometrics, 1990 - Elsevier
This paper compares several statistical models for monthly stock return volatility. The focus
is on US data from 1834-1925 because the post-1926 data have been analyzed in more …
is on US data from 1834-1925 because the post-1926 data have been analyzed in more …
Tests for unit roots: A Monte Carlo investigation
GW Schwert - Journal of business & economic statistics, 2002 - Taylor & Francis
… Schwert (1987) applied the unit-root tests discussed in this article to 17 important US
macroeconomic time series and concluded that many of the tests would falsely reject the unit-root …
macroeconomic time series and concluded that many of the tests would falsely reject the unit-root …
Expected stock returns and volatility
This paper examines the relation between stock returns and stock market volatility. We find
evidence that the expected market risk premium (the expected return on a stock portfolio …
evidence that the expected market risk premium (the expected return on a stock portfolio …
Why does stock market volatility change over time?
GW Schwert - The journal of finance, 1989 - Wiley Online Library
This paper analyzes the relation of stock volatility with real and nominal macroeconomic
volatility, economic activity, financial leverage, and stock trading activity using monthly data from …
volatility, economic activity, financial leverage, and stock trading activity using monthly data from …