Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors
Prior research on financial analysts’ consensus earnings forecast errors has tended to explore either incentives-based or inefficient information use-based explanations for the properties of the analysts’ forecast errors. This has limited our understanding of financial analysts’ expectation formatio...
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sg-smu-ink.soa_research-11652010-09-22T09:12:05Z Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors Markov, Stanimir TAN, Min Yen Prior research on financial analysts’ consensus earnings forecast errors has tended to explore either incentives-based or inefficient information use-based explanations for the properties of the analysts’ forecast errors. This has limited our understanding of financial analysts’ expectation formation process as incentives and cognitive biases are likely to simultaneously affect the properties of the analysts’ consensus forecast errors. Our main contribution is in separating these two effects. In particular, using consensus quarterly earnings forecast data, we document that analysts have asymmetric loss function and that they do not fully use information about past earnings and forecast errors in minimizing their expected loss. 2005-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soa_research/166 https://ink.library.smu.edu.sg/context/soa_research/article/1165/viewcontent/markovtan_09_16_05.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Accountancy eng Institutional Knowledge at Singapore Management University Accounting Finance and Financial Management |
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Accounting Finance and Financial Management Markov, Stanimir TAN, Min Yen Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors |
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Prior research on financial analysts’ consensus earnings forecast errors has tended to explore either incentives-based or inefficient information use-based explanations for the properties of the analysts’ forecast errors. This has limited our understanding of financial analysts’ expectation formation process as incentives and cognitive biases are likely to simultaneously affect the properties of the analysts’ consensus forecast errors. Our main contribution is in separating these two effects. In particular, using consensus quarterly earnings forecast data, we document that analysts have asymmetric loss function and that they do not fully use information about past earnings and forecast errors in minimizing their expected loss. |
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Markov, Stanimir TAN, Min Yen |
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Markov, Stanimir TAN, Min Yen |
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Markov, Stanimir |
title |
Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors |
title_short |
Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors |
title_full |
Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors |
title_fullStr |
Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors |
title_full_unstemmed |
Separating the Effects of Asymmetric Incentives and Inefficient Use of Information on Financial Analysts' Consensus Earnings Forecast Errors |
title_sort |
separating the effects of asymmetric incentives and inefficient use of information on financial analysts' consensus earnings forecast errors |
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Institutional Knowledge at Singapore Management University |
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2005 |
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https://ink.library.smu.edu.sg/soa_research/166 https://ink.library.smu.edu.sg/context/soa_research/article/1165/viewcontent/markovtan_09_16_05.pdf |
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