Factor momentum returns do not stem from momentum in factor returns. To study the source of returns, this paper decomposes the stock factor momentum portfolio into a factor timing portfolio and a static portfolio, where the former dynamically collects the return due to serial correlations of...

We propose the first factor model that explains cross-sectional variation in optionable stock returns. Our model includes new factors based on option-implied volatility minus realized volatility, the call minus put implied volatility spread, and the difference between changes in call and put...

Stock factor returns exhibit greater predictability from the weighted least squares (WLS) estimator of autoregressions with time-varying volatility. The predictability transmits into superior mean-variance optimal portfolio performance that is hardly achieved by other strategies that utilize...

Standard factor models focus on returns and leave prices undetermined. Thisapproach ignores information contained in the time-series of asset prices, relevantfor long-term investors and for detecting potential mispricing. To address this issue,we propose a novel (co-)integrated methodology to...

More than three decades ago, Jacobs and Levy introduced in the Financial Analysts Journal the idea of disentangling returns across numerous factors via cross-sectional analysis, and examined the benefits of using the time-series of returns to disentangled factors for return forecasting. The...

By choosing investment strategies that intentionally create exposure to factor betas, investors may be obtaining uncompensated risks. We show across a wide variety of factors and geographical markets that factors constructed from fundamental characteristics have earned high returns, whereas...

Factors in prominent asset pricing models are positively autocorrelated. We derive a transformation that turns an autocorrelated factor to a ``time-series efficient'' factor. Time-series efficient factors earn significantly higher Sharpe ratios than the original factors and contain all the...

We show that sentiment from newspaper articles can explain and predict movements in the term structure of US government bonds. This effect is stronger at the short end of the curve, coinciding with greater volatility and investors' need to continually reassess the Fed's reaction function. Facing...

We propose a protocol for identifying genuine risk factors. The underlying premise is that a risk factor must be related to the covariance matrix of returns, must be priced in the cross-section of returns, and should yield a reward-to-risk ratio that is reasonable enough to be consistent with...

We represent risk factors as sums of orthogonal components capturing fluctuations with cycles of different length. The representation leads to novel spectral factor models in which systematic risk is allowed (without being forced) to vary across frequencies. Frequency-specific systematic risk is...