(with Priyank Gandhi, Jens Jackwerth and Alberto Plazzi)
ABSTRACT: Using comprehensive data on London Interbank Offer Rate (Libor) submissions from 2001 through 2012, we provide evidence consistent with banks manipulating Libor to profit from Libor-related positions and to signal their creditworthiness during distressed times. Evidence of manipulation is stronger for banks that were eventually sanctioned by regulators and disappears for all banks in the aftermath of the Libor investigations that began in 2010. Our findings suggest that the threat of large penalties and the loss of reputation that accompany public enforcement can be effective in deterring financial market misconduct.
(with Peter Koudijs)
ABSTRACT: We combine annual stock market data for the most important equity markets of the last four centuries: the Netherlands and UK (1629–1812), UK (1813–1870), and US (1871–2015). We show that dividend yields are stationary and consistently forecast returns. The documented predictability holds for annual and multi-annual horizons and works both in- and out-of-sample, providing strong evidence that expected returns in stock markets are time- varying. In part, this variation is related to the business cycle, with expected returns increasing in recessions. We also find that, except for the period after 1945, dividend yields predict dividend growth rates.
(with Jose Marin)
ABSTRACT: Fund managers are double agents; they serve both fund investors and owners of management firms. This conflict of interest may result in trading to support securities prices. Tests of this hypothesis in the Spanish mutual fund industry indicate that bank-affiliated mutual funds systematically increase their holdings in the controlling bank stock around seasoned equity issues, at the time of bad news about the controlling bank, before anticipated price drops, and after non-anticipated price drops. The results seem mainly driven by bank managers’ incentives. Ownership of asset management companies thus matters and can distort capital allocation and asset prices.
ABSTRACT: The dividend-price ratio is a noisy proxy for expected returns when expected dividend growth is time-varying. This paper uses a new and forward-looking measure of dividend growth extracted from S&P 500 futures and options to correct the dividend-price ratio for changes in expected dividend growth. Over January 1994 through June 2011, dividend growth implied by derivative markets reliably forecasts future dividend growth, and the corrected dividend-price ratio predicts S&P500 returns substantially better than the standard dividend-price ratio, in-sample and out-of-sample. Time-varying expected dividend growth is important to explain price movements, especially because it is highly correlated with expected returns.
ABSTRACT: We show that Standard & Poor’s (S&P) 500 futures are pulled toward the at-the-money strike price on days when serial options on the S&P 500 futures expire (pinning) and are pushed away from the cost-of-carry adjusted at-the-money strike price right before the expiration of options on the S&P 500 index (anti-cross-pinning). These effects are driven by the interplay of market makers’ rebalancing of delta hedges due to the time decay of those hedges as well as in response to reselling (and early exercise) of in-the-money options by individual investors. The associated shift in notional futures value is at least $115 million per expiration day.
(with Rasa Karapandza)
last version: March 2020
EFA 2018, Colorado Finance Summit 2018, AFA 2019, News & Finance Conference 2019, SFS Cavalcade 2019
ABSTRACT: We study national newspaper reporting and investor beliefs across the U.S., Germany, and Japan. Using comprehensive hand-coded media data for the automotive industry, we show that news about companies is systematically more positive in companies’ home countries than abroad. Home-country media slant increases during bad times for companies, and it correlates strongly with equity prices. Cross-country difference in news tone predicts temporary price deviations of cross-listed stocks. Abnormally high home-media news tone predicts low monthly domestic stock returns. The effects are strongest for confirmatory news and weakest when home-biased investors are likely distracted by sporting events.
(with Stefano Cassella, Huseyin Gulen, and Peter Kelly)
last version: March 2020
Quadrant Behavioral Finance Conference 2019, TAU Finance Conference 2019, Colorado Finance Summit 2019, ASU Sonoran Winter Finance Conference 2020
ABSTRACT: Ample evidence suggests that individuals are overly optimistic about future outcomes. But does the length of a particular forecast horizon affect optimism levels? In this paper, we extend Brunnermeier and Parker’s (2005) optimal expectations framework to a multi-period model, which casts the novel prediction that optimism grows with the forecast horizon. We provide empirical evidence that forecasters exhibit horizon bias when making predictions about a wide variety of macroeconomic variables, in the United States and abroad. Using analysts’ earnings forecasts, we also confirm the presence of a horizon bias in the stock market. We then argue that the horizon bias can help explain the puzzling time-series variation in the term structure of equity returns. Consistent with the intuition from a simple present-value model, we find that periods of above-average horizon bias are associated with negative term premia, whereas periods of below-average horizon bias are associated with positive term premia. Finally, we explore our model’s implication that the horizon bias should increase with the skewness of future outcomes. We confirm that the level of horizon bias in the stock market correlates with the market’s implied skewness. We further find that the interaction between horizon bias and skewness generates strong and robust forecasts of future equity term premia.
(with Ruslan Goyenko)
last version: November 2020
ABSTRACT: We estimate investor disagreement from synthetic long and short stock trades in the equity options market. We show that high disagreement predicts low stock returns after positive earnings surprises and high stock returns after negative earnings surprises. The negative effect is stronger for high-beta stocks and stocks that are more difficult to sell short. In the cross-section of all stocks and the subset of the 500 largest companies, high disagreement robustly predicts low monthly and weekly stock returns.
(with Peter Koudijs)
last version: April 2020
AFA 2021 (scheduled), EFA 2020 (scheduled)
ABSTRACT: One of the most puzzling findings in asset pricing is that expected returns dominate variation in the dividend-to-price ratio, leaving little room for dividend growth rates. Even more puzzling is that this dominance only emerged after 1945. We develop a present value model to argue that a general increase in equity duration can explain these findings. As cash flows to investors accrue further into the future, shocks to highly persistent expected returns become relatively more important than shocks to growth rates. We provide supportive empirical evidence from dividend strips, the time-series, and the cross-section of stocks.