Naïve earnings growth extrapolation

Exploiting the unique financial reporting format in China, we document that stocks with the strongest past year-to-date earnings growth experience a significant price run-up of 1.2% during the five trading days before their quarterly earnings announcements and a significant return reversal of -1.35%...

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Main Authors: CUI, Chenyu, LI, Frank Weikai, ZHANG, Xinyi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/6804
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spelling sg-smu-ink.lkcsb_research-78032021-09-28T06:18:03Z Naïve earnings growth extrapolation CUI, Chenyu LI, Frank Weikai ZHANG, Xinyi Exploiting the unique financial reporting format in China, we document that stocks with the strongest past year-to-date earnings growth experience a significant price run-up of 1.2% during the five trading days before their quarterly earnings announcements and a significant return reversal of -1.35% in the five trading days afterward. This inverted V-shaped pattern on cumulative return spreads is more pronounced among smaller firms with lower institutional ownership and fewer analyst coverage, and it is less pronounced among foreign B-share. Consistent with investor excess demand driving the price run-up, we find retail investor sentiment and buy-sell order imbalance rise ahead of earnings announcements for firms with high past earnings growth. Our findings support models of fundamental extrapolation and suggest investors naively extrapolate the salient but not-so-informative year-to-date earnings growth when forming expectations about the upcoming earnings. 2021-08-04T07:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/6804 http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Extrapolation Earnings Announcements Speculative Trading Financial Reporting Finance Finance and Financial Management
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Extrapolation
Earnings Announcements
Speculative Trading
Financial Reporting
Finance
Finance and Financial Management
spellingShingle Extrapolation
Earnings Announcements
Speculative Trading
Financial Reporting
Finance
Finance and Financial Management
CUI, Chenyu
LI, Frank Weikai
ZHANG, Xinyi
Naïve earnings growth extrapolation
description Exploiting the unique financial reporting format in China, we document that stocks with the strongest past year-to-date earnings growth experience a significant price run-up of 1.2% during the five trading days before their quarterly earnings announcements and a significant return reversal of -1.35% in the five trading days afterward. This inverted V-shaped pattern on cumulative return spreads is more pronounced among smaller firms with lower institutional ownership and fewer analyst coverage, and it is less pronounced among foreign B-share. Consistent with investor excess demand driving the price run-up, we find retail investor sentiment and buy-sell order imbalance rise ahead of earnings announcements for firms with high past earnings growth. Our findings support models of fundamental extrapolation and suggest investors naively extrapolate the salient but not-so-informative year-to-date earnings growth when forming expectations about the upcoming earnings.
format text
author CUI, Chenyu
LI, Frank Weikai
ZHANG, Xinyi
author_facet CUI, Chenyu
LI, Frank Weikai
ZHANG, Xinyi
author_sort CUI, Chenyu
title Naïve earnings growth extrapolation
title_short Naïve earnings growth extrapolation
title_full Naïve earnings growth extrapolation
title_fullStr Naïve earnings growth extrapolation
title_full_unstemmed Naïve earnings growth extrapolation
title_sort naïve earnings growth extrapolation
publisher Institutional Knowledge at Singapore Management University
publishDate 2021
url https://ink.library.smu.edu.sg/lkcsb_research/6804
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