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Full-Text Articles in Finance and Financial Management
Cross-Cryptocurrency Return Predictability, Li Guo, Bo Sang, Jun Tu, Yu Wang
Cross-Cryptocurrency Return Predictability, Li Guo, Bo Sang, Jun Tu, Yu Wang
Research Collection Lee Kong Chian School Of Business
Using the minute-frequency data on Binance, we find strong evidence of cross-cryptocurrency return predictability. The lagged returns of other cryptocurrencies serve as significant predictors of focal cryptocurrencies up to ten minutes, in line with slow information diffusion. The results are robust across various methods, including the adaptive LASSO and principal component analysis. Furthermore, a long-short portfolio formed on the past returns of cryptocurrencies can generate a daily return of 2.16% out-of-sample after accounting for transaction costs, indicating sizable economic value of cross-cryptocurrency return predictability.
Joint News, Attention Spillover, And Market Returns Predictability, Li Guo, Lin Peng, Yubo Tao, Jun Tu
Joint News, Attention Spillover, And Market Returns Predictability, Li Guo, Lin Peng, Yubo Tao, Jun Tu
Research Collection Lee Kong Chian School Of Business
We analyze over 2.6 million news articles and propose a novel measure of joint news coverage of firms. The measure strongly and negatively predicts market returns, with a monthly R-squared of 3.93% in sample and 6.52% out of sample. The relation is causal, robust to existing predictors, and is especially strong when market uncertainty is high or when market frictions are large. At the firm level, joint news coverage is associated with a 20.3% increase in EDGAR downloads by new IPs from the investor bases of the other covered firms. Our evidence suggests that joint news triggers investor attention spillover …
Tracking Retail Investor Activity, Ekkehart Boehmer, Charles M. Jones, Xiaoyan Zhang, Xinran Zhang
Tracking Retail Investor Activity, Ekkehart Boehmer, Charles M. Jones, Xiaoyan Zhang, Xinran Zhang
Research Collection Lee Kong Chian School Of Business
We provide an easy method to identify marketable retail purchases and sales using recent, publicly available U.S. equity transactions data. Individual stocks with net buying by retail investors outperform stocks with negative imbalances by approximately 10 bps over the following week. Less than half of the predictive power of marketable retail order imbalance is attributable to order flow persistence, while the rest cannot be explained by contrarian trading (proxy for liquidity provision) or public news sentiment. There is suggestive, but only suggestive, evidence that retail marketable orders might contain firm-level information that is not yet incorporated into prices.
Are Disagreements Agreeable? Evidence From Information Aggregation, Dashan Huang, Jiangyuan Li, Liyao Wang
Are Disagreements Agreeable? Evidence From Information Aggregation, Dashan Huang, Jiangyuan Li, Liyao Wang
Research Collection Lee Kong Chian School Of Business
Disagreement measures are known to predict cross-sectional stock returns but fail to predict market returns. This paper proposes a partial least squares disagreement index by aggregating information across individual disagreement measures and shows that this index significantly predicts market returns both in- and out-of-sample. Consistent with the theory in Atmaz and Basak (2018), the disagreement index asymmetrically predicts market returns with greater power in high-sentiment periods, is positively associated with investor expectations of market returns, predicts market returns through a cash flow channel, and can explain the positive volume-volatility relationship.