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Two Essays on Business Description C...

Zhang, Yan.

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Two Essays on Business Description Content Trend and the Cross-Section of Stock Returns.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Two Essays on Business Description Content Trend and the Cross-Section of Stock Returns./
Author:	Zhang, Yan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	78 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-04(E), Section: A.
Contained By:	Dissertation Abstracts International79-04A(E).
Subject:	Finance. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10603730
ISBN:	9780355363432

Two Essays on Business Description Content Trend and the Cross-Section of Stock Returns.
Zhang, Yan.

Two Essays on Business Description Content Trend and the Cross-Section of Stock Returns. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 78 p.

Source: Dissertation Abstracts International, Volume: 79-04(E), Section: A.

Thesis (Ph.D.)--The University of Utah, 2017.

This dissertation examines the business description firms include in their 10-Ks. Using the Latent Dirichlet Allocation topic extraction methodology, I identify the highest trending topic for each industry and each firm's loading on this topic. In the first chapter, after controlling for risk, I find that firms with higher loading on the highest trending topic are more likely to experience lower future returns. These findings are consistent with the notion that investors are willing to pay more for firms that use trendy language, even though the higher prices are not justified by their fundamental values. In the second chapter, I disentangle the relations between 10-K trend loading, earnings management, and analysts' forecast errors during the 10-K release. I find that 10-K trend loading and earnings management are conditionally uncorrelated, and that analysts can make forecast errors contrary to the level of 10-K trend loading, correcting the short-run market underreactions.

ISBN: 9780355363432Subjects--Topical Terms:

542899
Finance.

Two Essays on Business Description Content Trend and the Cross-Section of Stock Returns.
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500 $a Source: Dissertation Abstracts International, Volume: 79-04(E), Section: A.
500 $a Adviser: Shmuel Baruch.
502 $a Thesis (Ph.D.)--The University of Utah, 2017.
520 $a This dissertation examines the business description firms include in their 10-Ks. Using the Latent Dirichlet Allocation topic extraction methodology, I identify the highest trending topic for each industry and each firm's loading on this topic. In the first chapter, after controlling for risk, I find that firms with higher loading on the highest trending topic are more likely to experience lower future returns. These findings are consistent with the notion that investors are willing to pay more for firms that use trendy language, even though the higher prices are not justified by their fundamental values. In the second chapter, I disentangle the relations between 10-K trend loading, earnings management, and analysts' forecast errors during the 10-K release. I find that 10-K trend loading and earnings management are conditionally uncorrelated, and that analysts can make forecast errors contrary to the level of 10-K trend loading, correcting the short-run market underreactions.
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