Do investors experience heuristics in earnings forecasting?
This research aims to examine empirically the overreliance on representativeness heuristic and anchoring-adjustment influences experienced by investors in forecasting future earnings. This research was a laboratory experiment with a design of 2x2 full factorial between subject. The results showed t...
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Vilnius Gediminas Technical University
2020-10-01
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doaj-15c7668f675641a3aef7514160e0f6d62020-11-25T03:42:20ZengVilnius Gediminas Technical UniversityBusiness: Theory and Practice1648-06271822-42022020-10-0121210.3846/btp.2020.12018Do investors experience heuristics in earnings forecasting?Riza Praditha0Haliah Haliah1Abdul Hamid Habbe2Yohanis Rura3Accounting Deapartment, STIE Tri Dharma Nusantara, Makassar, IndonesiaAccounting Department, Hasanuddin University, Makassar, IndonesiaAccounting Department, Hasanuddin University, Makassar, IndonesiaAccounting Department, Hasanuddin University, Makassar, Indonesia This research aims to examine empirically the overreliance on representativeness heuristic and anchoring-adjustment influences experienced by investors in forecasting future earnings. This research was a laboratory experiment with a design of 2x2 full factorial between subject. The results showed that representativeness heuristics were only experienced by investors who obtained positive information. Besides, this study also shows that investors do not overreliance on anchoring-adjustment heuristics. Generally, this research shows that cognitive biases occur when the information presented is of good value so that it can be taken into consideration for investors to be more careful in making predictions. Multiple benchmark information can be used as a consideration in evaluating the company’s earnings and stock performance. https://www.transport.vgtu.lt/index.php/BTP/article/view/12018representativenessanchoring-adjustmentmultiple benchmark information |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Riza Praditha Haliah Haliah Abdul Hamid Habbe Yohanis Rura |
spellingShingle |
Riza Praditha Haliah Haliah Abdul Hamid Habbe Yohanis Rura Do investors experience heuristics in earnings forecasting? Business: Theory and Practice representativeness anchoring-adjustment multiple benchmark information |
author_facet |
Riza Praditha Haliah Haliah Abdul Hamid Habbe Yohanis Rura |
author_sort |
Riza Praditha |
title |
Do investors experience heuristics in earnings forecasting? |
title_short |
Do investors experience heuristics in earnings forecasting? |
title_full |
Do investors experience heuristics in earnings forecasting? |
title_fullStr |
Do investors experience heuristics in earnings forecasting? |
title_full_unstemmed |
Do investors experience heuristics in earnings forecasting? |
title_sort |
do investors experience heuristics in earnings forecasting? |
publisher |
Vilnius Gediminas Technical University |
series |
Business: Theory and Practice |
issn |
1648-0627 1822-4202 |
publishDate |
2020-10-01 |
description |
This research aims to examine empirically the overreliance on representativeness heuristic and anchoring-adjustment influences experienced by investors in forecasting future earnings. This research was a laboratory experiment with a design of 2x2 full factorial between subject. The results showed that representativeness heuristics were only experienced by investors who obtained positive information. Besides, this study also shows that investors do not overreliance on anchoring-adjustment heuristics. Generally, this research shows that cognitive biases occur when the information presented is of good value so that it can be taken into consideration for investors to be more careful in making predictions. Multiple benchmark information can be used as a consideration in evaluating the company’s earnings and stock performance.
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topic |
representativeness anchoring-adjustment multiple benchmark information |
url |
https://www.transport.vgtu.lt/index.php/BTP/article/view/12018 |
work_keys_str_mv |
AT rizapraditha doinvestorsexperienceheuristicsinearningsforecasting AT haliahhaliah doinvestorsexperienceheuristicsinearningsforecasting AT abdulhamidhabbe doinvestorsexperienceheuristicsinearningsforecasting AT yohanisrura doinvestorsexperienceheuristicsinearningsforecasting |
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