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An Augmented q-Factor Model with Expected Growth
In the investment theory, firms with high expected investment growth earn higher expected
returns than firms with low expected investment growth, holding investment and expected …
returns than firms with low expected investment growth, holding investment and expected …
Common risk factors in cryptocurrency
We find that three factors—cryptocurrency market, size, and momentum—capture the cross‐
sectional expected cryptocurrency returns. We consider a comprehensive list of price‐and …
sectional expected cryptocurrency returns. We consider a comprehensive list of price‐and …
Shared analyst coverage: Unifying momentum spillover effects
Identifying firm connections by shared analyst coverage, we find that a connected-firm (CF)
momentum factor generates a monthly alpha of 1.68%(t= 9.67). In spanning regressions, the …
momentum factor generates a monthly alpha of 1.68%(t= 9.67). In spanning regressions, the …
Which factors?
Many recently proposed, seemingly different factor models are closely related. In spanning
tests, the q-factor model largely subsumes the Fama–French five-and six-factor models, and …
tests, the q-factor model largely subsumes the Fama–French five-and six-factor models, and …
Which investors matter for equity valuations and expected returns?
Based on an asset demand system, we develop a framework to quantify the impact of market
trends and changes in regulation on asset prices, price informativeness, and the wealth …
trends and changes in regulation on asset prices, price informativeness, and the wealth …
Bayesian solutions for the factor zoo: We just ran two quadrillion models
We propose a novel framework for analyzing linear asset pricing models: simple, robust, and
applicable to high‐dimensional problems. For a (potentially misspecified) stand‐alone …
applicable to high‐dimensional problems. For a (potentially misspecified) stand‐alone …
Man versus machine learning: The term structure of earnings expectations and conditional biases
We introduce a real-time measure of conditional biases to firms' earnings forecasts. The
measure is defined as the difference between analysts' expectations and a statistically …
measure is defined as the difference between analysts' expectations and a statistically …
Market anomalies and disaster risk: Evidence from extreme weather events
MG Lanfear, A Lioui, MG Siebert - Journal of financial markets, 2019 - Elsevier
We document strong abnormal effects due to US landfall hurricanes over the period 1990 to
2017 on stock returns and illiquidity across portfolios of stocks sorted by market equity (ME) …
2017 on stock returns and illiquidity across portfolios of stocks sorted by market equity (ME) …