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Full-Text Articles in Business

Peer Effects In Equity Research, Kenny Phua, Mandy Tham, Chi Shen Wei Mar 2023

Peer Effects In Equity Research, Kenny Phua, Mandy Tham, Chi Shen Wei

Research Collection Lee Kong Chian School Of Business

We study the importance of peer effects among sell-side analysts who work at the same brokerage house, but cover different firms. By mapping the information network within each brokerage, we identify analysts who occupy central positions in their network. Central analysts incorporate more information from their coworkers and produce better research. Using shocks to network structures around brokerage mergers, we identify the influence of peer effects and the importance of industry expertise on analysts’ performance. A portfolio strategy that exploits the forecast revisions of central analysts earns up to 24% per annum.


Inside Brokers, Frank Weikai Li, Abhiroop Mukherjee, Rik Sen Sep 2021

Inside Brokers, Frank Weikai Li, Abhiroop Mukherjee, Rik Sen

Research Collection Lee Kong Chian School Of Business

We identify the broker each corporate insider trades through, and find that analysts and mutual fund managers affiliated with such “inside brokers” have a substantial information advantage on the insider’s firm. Affiliated analysts issue more accurate earnings forecasts, and affiliated mutual funds trade the insider’s stock more profitably than their peers, following insider trades through their brokerage. Notably, this advantage persists well after these insider trades are publicly disclosed. Our results challenge the prevalent perception that information asymmetry arising from insider trading is acute only before trade disclosure, and suggest that brokers facilitating these trades are in a position to …


Hedge Funds And Their Prime Broker Analysts, Sung Gon Chung, Manoj Kulchania, Melvyn Teo Jun 2021

Hedge Funds And Their Prime Broker Analysts, Sung Gon Chung, Manoj Kulchania, Melvyn Teo

Research Collection Lee Kong Chian School Of Business

Are sell-side analysts reluctant to go against the investment views of their hedge funds when these hedge funds are their prime brokerage clients? We show that prime broker analysts tend to upgrade stocks recently bought by their clients. For stocks with upgraded recommendations, post-announcement cumulative abnormal returns are significantly lower for those purchased by the prime brokerage clients. Our results are stronger with high-dollar-turnover clients who generate more trading commissions. We also find that a hedge fund with a large bet on a stock has a stronger incentive to pressure the fund’s prime brokers to issue a favorable recommendation on …


What Do Short Sellers Know?, Ekkehart Boehmer, Charles M. Jones, Juan (Julie) Wu, Xiaoyan Zhang Nov 2020

What Do Short Sellers Know?, Ekkehart Boehmer, Charles M. Jones, Juan (Julie) Wu, Xiaoyan Zhang

Research Collection Lee Kong Chian School Of Business

Using NYSE short-sale order data, we investigate whether short sellers' informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24% of the overall underperformance of heavily shorted stocks. Importantly, short sellers use both public news and private information to anticipate news regarding earnings and analysts. Shorting's predictive ability remains significant after controlling for information in analyst actions and displays no reversal patterns, indicating that short sellers know more than analysts, and the nature of their information …


Security Analysts And Capital Market Anomalies, Li Guo, Frank Weikai Li, K.C. John Wei Jul 2020

Security Analysts And Capital Market Anomalies, Li Guo, Frank Weikai Li, K.C. John Wei

Research Collection Lee Kong Chian School Of Business

We examine whether analysts use information in well-known stock return anomalies when making recommendations. We find results contrary to the common view that analysts are sophisticated information intermediaries who help improve market efficiency. Specifically, when analysts make more favorable recommendations to stocks classified as overvalued, these stocks tend to have particularly large negative abnormal returns ex post. Moreover, analysts whose recommendations are more aligned with anomaly signals are more skilled and elicit greater recommendation announcement returns. Our results suggest that analysts' biased recommendations could be a source of market frictions that impede the efficient correction of mispricing.


Sell-Side Analysts' Benchmarks, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach Jan 2020

Sell-Side Analysts' Benchmarks, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach

Research Collection Lee Kong Chian School Of Business

Sell-side analysts employ different benchmarks when defining their recommendations. A buy for some brokers means the stock is expected to outperform its industry, while for other brokers it means the stock is expected to outperform the market, or some return threshold. We show that these stated benchmarks have implications for the distribution of recommendations, price reactions to recommendations, and the investment value of recommendations. We conclude that, depending on the question, academics may need to account for the benchmarks when studying analysts’ outputs, and investors may find the benchmarks beneficial in interpreting analysts’ advice.


Do Security Analysts Learn From Their Colleagues?, Kenny Phua, T. Mandy Tham, Chi Shen Wei Oct 2017

Do Security Analysts Learn From Their Colleagues?, Kenny Phua, T. Mandy Tham, Chi Shen Wei

Research Collection Lee Kong Chian School Of Business

We examine how learning from colleagues affects security analyst forecast outcomes. We represent the brokerage house as an information network of analysts connected through industry overlaps in their coverage portfolios. Analysts who are more centrally connected in their brokerage network produce more accurate forecast estimates and generate more influential forecast revisions. Consistent with learning, more central analysts tend to unwind their colleagues’ recent forecast errors in their forecast revisions. Learning appears to benefit all colleagues, as working at more interconnected brokerages (i.e., denser networks) improves forecast accuracy for all analysts.


What Are Analysts Really Good At?, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach Dec 2013

What Are Analysts Really Good At?, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach

Research Collection Lee Kong Chian School Of Business

Sell-side analysts employ different benchmarks when defining their stock recommendations. For example, a ‘buy’ for some brokers means the stock is expected to outperform its peers in the same sector (“industry benchmarkers”), while for other brokers it means the stock is expected to outperform the market (“market benchmarkers”), or just some absolute return (“total benchmarkers”). We use these benchmarks to analyze the role of stock picking, industry picking and market timing in contributing to the performance of stock recommendations. We are able to do so given that different benchmarks suggest the use of different sets of abilities. Analysis of the …


What Are Analysts Really Good At?, Rong Wang, Leonardo Madureira, Rong Wang, Tzachi Zach Dec 2013

What Are Analysts Really Good At?, Rong Wang, Leonardo Madureira, Rong Wang, Tzachi Zach

Research Collection Lee Kong Chian School Of Business

Sell-side analysts employ different benchmarks when defining their stock recommendations. For example, a ‘buy’ for some brokers means the stock is expected to outperform its peers in the same sector (“industry benchmarkers”), while for other brokers it means the stock is expected to outperform the market (“market benchmarkers”), or just some absolute return (“total benchmarkers”). We use these benchmarks to analyze the role of stock picking, industry picking and market timing in contributing to the performance of stock recommendations. We are able to do so given that different benchmarks suggest the use of different sets of abilities. Analysis of the …


Stock Picking, Industry Picking And Market Timing In Sell-Side Research, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach Jun 2013

Stock Picking, Industry Picking And Market Timing In Sell-Side Research, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach

Research Collection Lee Kong Chian School Of Business

Sell-side analysts employ different benchmarks when defining their stock recommendations. For example, a ‘buy’ for some brokers means the stock is expected to outperform its peers in the same sector (“industry benchmarkers”), while for other brokers it means the stock is expected to outperform the market (“market benchmarkers”), or just some absolute return (“total benchmarkers”). We use these benchmarks to analyze the role of stock picking, industry picking and market timing in contributing to the performance of stock recommendations. We are able to do so given that different benchmarks suggest the use of different sets of abilities. Analysis of the …


What Are Analysts Really Good At?, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi. Zach Jan 2012

What Are Analysts Really Good At?, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi. Zach

Research Collection Lee Kong Chian School Of Business

Sell-side analysts employ different benchmarks when defining their stock recommendations. Forexample, a ‘buy’ for some brokers means the stock is expected to outperform its peers in the same sector(“industry benchmarkers”), while for other brokers it means the stock is expected to outperform themarket (“market benchmarkers”), or just some absolute return (“total benchmarkers”). We use thesebenchmarks to analyze the role of stock picking, industry picking and market timing in contributing to theperformance of stock recommendations. We are able to do so given that different benchmarks suggest theuse of different sets of abilities. Analysis of the relation between analysts’ recommendations and theirlong-term …


Industry Recommendations: Characteristics, Investment Value, And Relation To Firm Recommendations, Ohad Kadan, Madureira Leonardo, Rong Wang, Tzachi Zach Jul 2010

Industry Recommendations: Characteristics, Investment Value, And Relation To Firm Recommendations, Ohad Kadan, Madureira Leonardo, Rong Wang, Tzachi Zach

Research Collection Lee Kong Chian School Of Business

We study analysts’ industry recommendations. We find that the distribution of industry recommendations is quite balanced. Analysts show more optimism towards industries with high levels of R&D, past profitability and past returns. Industry recommendations possess investment value as portfolios based on these recommendations generate risk-adjusted abnormal returns. Finally, industry recommendations contain information which is orthogonal to that included in firm recommendations, and more so for brokers who benchmark their firm recommendations to industry peers. Consequently, the investment value of analysts’ recommendations is enhanced when both industry and firm recommendations are used.


The Quality Of Analysts Earnings Forecasts During The Asian Crisis: Evidence From Singapore, Roger Loh, Mujtaba Mian Jun 2003

The Quality Of Analysts Earnings Forecasts During The Asian Crisis: Evidence From Singapore, Roger Loh, Mujtaba Mian

Research Collection Lee Kong Chian School Of Business

Examines the efficiency of security analysts' earnings forecasts in Singapore. Regression of actual earnings change on forecasted change; Extremism in forecasted change; Impact of business crisis on the quality of earnings forecasts.