Open Access. Powered by Scholars. Published by Universities.®

Business Commons

Open Access. Powered by Scholars. Published by Universities.®

Research Collection Lee Kong Chian School Of Business

Portfolio and Security Analysis

Return predictability

Articles 1 - 10 of 10

Full-Text Articles in Business

Investor Sentiment And Paradigm Shifts In Equity Premium Forecasting, Liya Chu, Kai Li, Tony Xue-Zhong He, Jun Tu Apr 2022

Investor Sentiment And Paradigm Shifts In Equity Premium Forecasting, Liya Chu, Kai Li, Tony Xue-Zhong He, Jun Tu

Research Collection Lee Kong Chian School Of Business

This study investigates the impact of investor sentiment on excess equity return forecasting. A high (low) investor sentiment may weaken the connection between fundamental economic (behavioral-based non-fundamental) predictors and market returns. We find that although fundamental variables can be strong predictors when sentiment is low, they tend to lose their predictive power when investor sentiment is high. Non-fundamental predictors perform well during high-sentiment periods while their predictive ability deteriorates when investor sentiment is low. These paradigm shifts in equity return forecasting provide a key to understanding and resolving the lack of predictive power for both fundamental and non-fundamental variables debated …


Joint News, Attention Spillover, And Market Returns Predictability, Li Guo, Lin Peng, Yubo Tao, Jun Tu Nov 2021

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 Oct 2021

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.


International Volatility Risk And Chinese Stock Return Predictability, Jian Chen, Fuwei Jiang, Yangshu Liu, Jun Tu Feb 2017

International Volatility Risk And Chinese Stock Return Predictability, Jian Chen, Fuwei Jiang, Yangshu Liu, Jun Tu

Research Collection Lee Kong Chian School Of Business

This paper investigates the predictive ability of international volatility risks for the daily Chinese stock market returns. We employ the innovations in implied volatility indexes of seven major international markets as our international volatility risk proxies. We find that international volatility risks are negatively associated with contemporaneous Chinese daily overnight stock returns, while positively forecast next-day Chinese daytime stock returns. The US volatility risk (ΔVIX) is particularly powerful in forecasting Chinese stock returns, and plays a dominant role relative to the other six international volatility measures. ΔVIX's forecasting power remains strong after controlling for Chinese domestic volatility and is robust …


Can Us Economic Variables Predict Chinese Stock Market?, Jeremy Goh, Fuwei Jiang, Jun Tu, Yuchen Wang Nov 2012

Can Us Economic Variables Predict Chinese Stock Market?, Jeremy Goh, Fuwei Jiang, Jun Tu, Yuchen Wang

Research Collection Lee Kong Chian School Of Business

In the last few decades, we observed a significant increase in global economic activities and these activities may have an impact on both China's economy and stock market. Given the potential impact, we empirically examine whether US economic variables are leading indicators of the Chinese stock market. Prior to China joining the World Trade Organization (WTO) in the end of 2001, we find no statistical relationship between US economic variables and the Chinese stock market returns. However, we find US economic variables have statistically significant predictive power for periods after China's admission into the WTO. In addition, we show that …


The Disparity Between Long-Term And Short-Term Forecasted Earnings Growth, Zhi Da, Mitchell Craig Warachka May 2011

The Disparity Between Long-Term And Short-Term Forecasted Earnings Growth, Zhi Da, Mitchell Craig Warachka

Research Collection Lee Kong Chian School Of Business

We find the disparity between long-term and short-term analyst forecasted earnings growth is a robust predictor of future returns and long-term analyst forecast errors. After adjusting for industry characteristics, stocks whose long-term earnings growth forecasts are far above or far below their implied short-term forecasts for earnings growth have negative and positive subsequent risk-adjusted returns along with downward and upward revisions in long-term forecasted earnings growth, respectively. Additional results indicate that investor inattention toward firm-level changes in long-term earnings growth is responsible for these risk-adjusted returns.


How Predictable Is The Chinese Stock Market?, Fuwei Jiang, David E. Rapach, Jack K. Strauss, Jun Tu Jul 2010

How Predictable Is The Chinese Stock Market?, Fuwei Jiang, David E. Rapach, Jack K. Strauss, Jun Tu

Research Collection Lee Kong Chian School Of Business

We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both in-sample and out-of-sample tests highlight significant predictability in the aggregate market portfolio of the Chinese stock market and substantial differences in return predictability across components. Among industry portfolios, Finance and insurance, Real estate, and Service exhibit the most predictability, while portfolios of small-cap and low ownership concentration firms also display considerable predictability. Two key findings provide economic explanations for …


Institutional Investors And Equity Returns: Are Short-Term Institutions Better Informed?, Xuemin (Sterling) Yan, Zhe Zhang Feb 2009

Institutional Investors And Equity Returns: Are Short-Term Institutions Better Informed?, Xuemin (Sterling) Yan, Zhe Zhang

Research Collection Lee Kong Chian School Of Business

We show that the positive relation between institutional ownership and future stock returns documented in Gompers and Metrick (2001) is driven by short-term institutions. Furthermore, short-term institutions' trading forecasts future stock returns. This predictability does not reverse in the long run and is stronger for small and growth stocks. Short-term institutions' trading is also positively related to future earnings surprises. By contrast, long-term institutions' trading does not forecast future returns, nor is it related to future earnings news. Our results are consistent with the view that short-term institutions are better informed and they trade actively to exploit their informational advantage.


Which Shorts Are Informed?, Ekkehart Boehmer, Charles M. Jones, Xiaoyan Zhang Apr 2008

Which Shorts Are Informed?, Ekkehart Boehmer, Charles M. Jones, Xiaoyan Zhang

Research Collection Lee Kong Chian School Of Business

We construct a long daily panel of short sales using proprietary NYSE order data. From 2000 to 2004, shorting accounts for more than 12.9% of NYSE volume, suggesting that shorting constraints are not widespread. As a group, these short sellers are well informed. Heavily shorted stocks underperform lightly shorted stocks by a risk-adjusted average of 1.16% over the following 20 trading days (15.6% annualized). Institutional nonprogram short sales are the most informative; stocks heavily shorted by institutions underperform by 1.43% the next month (19.6% annualized). The results indicate that, on average, short sellers are important contributors to efficient stock prices.


Style Effects In The Cross-Section Of Stock Returns, Melvyn Teo, Sung-Jun Woo Nov 2004

Style Effects In The Cross-Section Of Stock Returns, Melvyn Teo, Sung-Jun Woo

Research Collection Lee Kong Chian School Of Business

Using CRSP stock and mutual fund data, we find strong evidence for reversals at the style level (e.g., large value, small growth, etc.). There are significant excess and risk-adjusted returns for stocks in styles characterized by the worst past returns and net inflows. We also find evidence for momentum and positive feedback trading at the style level. These value and momentum effects are driven neither by fundamental risk nor by stock-level reversals and momentum. Taken together, the results are consistent with the style-level positive feedback trading model of Barberis and Shleifer (2003).