How do disposition effect and anchoring bias interact to impact momentum in stock returns?

2019 ◽  
Vol 53 ◽  
pp. 238-256 ◽  
Author(s):  
Jungshik Hur ◽  
Vivek Singh
2012 ◽  
Vol 48 (1) ◽  
pp. 47-76 ◽  
Author(s):  
Ling Cen ◽  
Gilles Hilary ◽  
K. C. John Wei

AbstractWe test the implications of anchoring bias associated with forecast earnings per share (FEPS) for forecast errors, earnings surprises, stock returns, and stock splits. We find that analysts make optimistic (pessimistic) forecasts when a firm’s FEPS is lower (higher) than the industry median. Further, firms with FEPS greater (lower) than the industry median experience abnormally high (low) future stock returns, particularly around subsequent earnings announcement dates. These firms are also more likely to engage in stock splits. Finally, split firms experience more positive forecast revisions, more negative forecast errors, and more negative earnings surprises after stock splits.


2020 ◽  
Vol 10 (29) ◽  
pp. 9-37
Author(s):  
Gholamhossein Asadi ◽  
Maryam Davallou ◽  
Sobhan Eskini

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wendy Kesuma ◽  
Irwan Adi Ekaputra ◽  
Dony Abdul Chalid

PurposeThis paper investigates whether individual investors are attentive to stock splits and whether higher split ratios (stronger private information signals) reduce the disposition effect.Design/methodology/approachThis study employs stock split events and transaction data in the Indonesia Stock Exchange (IDX) from January 2004 to December 2017. The authors measure individual investors' attention using buy-initiated trades. To test the effect of split signal on disposition effect, the authors regress individual investors' sell-initiated trades on past stock returns.FindingsUnlike Birru (2015), the authors find that individual investors are attentive to stock splits, especially when stock split ratios are high. In turn, stock splits tend to weaken the disposition effect. The higher the stock split ratios, the weaker the disposition effect.Research limitations/implicationsThis study has a limitation in that the authors exclude all stock splits with dividend events around the split date. These stock splits cover 37% of all splits in Indonesia.Practical implicationsPractically, individual investors should look for stock-related information to reduce disposition bias.Originality/valueTo the best of authors’ knowledge, this study is the first to test individual investors' attention on stock splits based on their buy-initiated trades. This study is also the first to test the impact of stock split ratios on the disposition effect reduction. This study's findings enrich the scant literature on individual investors' attention and how to reduce their disposition effect bias.


2018 ◽  
Vol 10 (5) ◽  
pp. 165
Author(s):  
Huan Cai ◽  
Meining Wang ◽  
Chaonan Bai

This paper focuses on investors’ different behavioral biases in China’s segmented stock markets and investigates the correlation between average holding periods, stock returns and investors’ disposition effect between 2010 and 2014. The results show that the disposition effect is prevalent in A-share market but is very weak in Growth Enterprise market and there is a lack of evidence to support the existence of disposition effect in B-share market. The study supports the view that investors’ experience and sophistication can partly help reduce investors’ behavioral biases in stock markets. It also indicates that investors in A-shares market prefer to hold stocks with larger market capitalization for longer periods, while investors of B-shares markets and Growth Enterprise market do not reveal a specific preference for market capitalization.


Author(s):  
Ying Tay Lee ◽  
Devinaga Rasiah ◽  
Ming Ming Lai

Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices.


2018 ◽  
Author(s):  
Stanimira Milcheva ◽  
Yildiray Yildirim ◽  
Zhu Bing

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