Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts
The aim of this study was to analyze the association of learning and complexity in the target price forecasts and sell-side analysts’ recommendations on the BM&FBovespa. The sample comprised forecasts of 195 stocks, 75 brokers and 569 analysts between 2005 and 2013, analyzed by linear models...
Saved in:
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
FUCAPE Business School
2017-01-01
|
Series: | BBR: Brazilian Business Review |
Subjects: | |
Online Access: | http://www.redalyc.org/articulo.oa?id=123050102001 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1825207371428790272 |
---|---|
author | Melquiades Pereira de Lima Júnior |
author_facet | Melquiades Pereira de Lima Júnior |
author_sort | Melquiades Pereira de Lima Júnior |
collection | DOAJ |
description | The aim of this study was to analyze the association of learning and complexity in the target price forecasts and sell-side analysts’ recommendations on the BM&FBovespa. The sample comprised forecasts of 195 stocks, 75 brokers and 569 analysts between 2005 and 2013, analyzed by linear models with panel data. Our results suggest that the experience with the stock, with the sector and complexity of the portfolio confirmed the learn by doing, but the overall experience showed contradictions due to information asymmetry. Despite anchoring in their peers, analysts achieved significant returns, but showed forecasts with low accuracy. Therfore, we concluded that more experienced analysts may intentionally contradict themselves in an attempt to bias the market. Finally, we suggest the development of less biased analyst rankings in order to increase the competitiveness and quality in the results of the analyzesThe aim of this study was to analyze the association of learning and complexity in the target price forecasts and sell-side analysts’ recommendations on the BM&FBovespa. The sample comprised forecasts of 195 stocks, 75 brokers and 569 analysts between 2005 and 2013, analyzed by linear models with panel data. Our results suggest that the experience with the stock, with the sector and complexity of the portfolio confirmed the learn by doing, but the overall experience showed contradictions due to information asymmetry. Despite anchoring in their peers, analysts achieved significant returns, but showed forecasts with low accuracy. Therfore, we concluded that more experienced analysts may intentionally contradict themselves in an attempt to bias the market. Finally, we suggest the development of less biased analyst rankings in order to increase the competitiveness and quality in the results of the analyzes. |
format | Article |
id | doaj-art-cd9f97ac1458418ba86f2154cb19e3d6 |
institution | Kabale University |
issn | 1807-734X |
language | English |
publishDate | 2017-01-01 |
publisher | FUCAPE Business School |
record_format | Article |
series | BBR: Brazilian Business Review |
spelling | doaj-art-cd9f97ac1458418ba86f2154cb19e3d62025-02-06T23:39:31ZengFUCAPE Business SchoolBBR: Brazilian Business Review1807-734X2017-01-01142133159Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side AnalystsMelquiades Pereira de Lima JúniorThe aim of this study was to analyze the association of learning and complexity in the target price forecasts and sell-side analysts’ recommendations on the BM&FBovespa. The sample comprised forecasts of 195 stocks, 75 brokers and 569 analysts between 2005 and 2013, analyzed by linear models with panel data. Our results suggest that the experience with the stock, with the sector and complexity of the portfolio confirmed the learn by doing, but the overall experience showed contradictions due to information asymmetry. Despite anchoring in their peers, analysts achieved significant returns, but showed forecasts with low accuracy. Therfore, we concluded that more experienced analysts may intentionally contradict themselves in an attempt to bias the market. Finally, we suggest the development of less biased analyst rankings in order to increase the competitiveness and quality in the results of the analyzesThe aim of this study was to analyze the association of learning and complexity in the target price forecasts and sell-side analysts’ recommendations on the BM&FBovespa. The sample comprised forecasts of 195 stocks, 75 brokers and 569 analysts between 2005 and 2013, analyzed by linear models with panel data. Our results suggest that the experience with the stock, with the sector and complexity of the portfolio confirmed the learn by doing, but the overall experience showed contradictions due to information asymmetry. Despite anchoring in their peers, analysts achieved significant returns, but showed forecasts with low accuracy. Therfore, we concluded that more experienced analysts may intentionally contradict themselves in an attempt to bias the market. Finally, we suggest the development of less biased analyst rankings in order to increase the competitiveness and quality in the results of the analyzes.http://www.redalyc.org/articulo.oa?id=123050102001financial analyststarget price forecaststock recommendationslearningportfolio complexity |
spellingShingle | Melquiades Pereira de Lima Júnior Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts BBR: Brazilian Business Review financial analysts target price forecast stock recommendations learning portfolio complexity |
title | Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts |
title_full | Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts |
title_fullStr | Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts |
title_full_unstemmed | Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts |
title_short | Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts |
title_sort | learning portfolio complexity and informational asymmetry in forecasts of sell side analysts |
topic | financial analysts target price forecast stock recommendations learning portfolio complexity |
url | http://www.redalyc.org/articulo.oa?id=123050102001 |
work_keys_str_mv | AT melquiadespereiradelimajunior learningportfoliocomplexityandinformationalasymmetryinforecastsofsellsideanalysts |