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Properties of Management Earnings Forecasts Following Mergers and Acquisitions.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Properties of Management Earnings Forecasts Following Mergers and Acquisitions./
Author:	Huseman, Olivia Grace.
Description:	1 online resource (61 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.
Contained By:	Dissertation Abstracts International78-12A(E).
Subject:	Accounting. -
Online resource:	click for full text (PQDT)
ISBN:	9780355108002

Properties of Management Earnings Forecasts Following Mergers and Acquisitions.
Huseman, Olivia Grace.

Properties of Management Earnings Forecasts Following Mergers and Acquisitions. - 1 online resource (61 pages)

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.

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

Includes bibliographical references

I study how the properties of management earnings forecasts change after a firm merges with or acquires another company. I find management is more likely to issue a forecast in a merger or an acquisition firm-year than in a non-M&A firm-year. Compared to forecasts issued by the firm in non-M&A periods, the first forecast issued after completing an M&A deal is less likely to be bundled with an earnings announcement and the forecast range is wider, although more likely to be optimistic than non-M&A forecasts. I find the increase in forecast range width and optimism persist in forecasts issued up to the end of the fiscal year but are not present in the initial forecast issued in the subsequent year. Finally, I find variation in M&A experience and M&A type influence management earnings forecast properties. Because prior studies of management forecasts often delete observations containing mergers and acquisitions or simply include the firm's market-to-book, my study informs researchers about how the properties of management forecasts are impacted by the uncertainty from a merger or an acquisition.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355108002Subjects--Topical Terms:

561166
Accounting.
Index Terms--Genre/Form:

554714
Electronic books.

Properties of Management Earnings Forecasts Following Mergers and Acquisitions.
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100 1 $a Huseman, Olivia Grace. $3 1190919
245 1 0 $a Properties of Management Earnings Forecasts Following Mergers and Acquisitions.
264 0 $c 2017
300 $a 1 online resource (61 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.
500 $a Advisers: Daniel W. Collins; S. Paul Hribar.
502 $a Thesis (Ph.D.)--The University of Iowa, 2017.
504 $a Includes bibliographical references
520 $a I study how the properties of management earnings forecasts change after a firm merges with or acquires another company. I find management is more likely to issue a forecast in a merger or an acquisition firm-year than in a non-M&A firm-year. Compared to forecasts issued by the firm in non-M&A periods, the first forecast issued after completing an M&A deal is less likely to be bundled with an earnings announcement and the forecast range is wider, although more likely to be optimistic than non-M&A forecasts. I find the increase in forecast range width and optimism persist in forecasts issued up to the end of the fiscal year but are not present in the initial forecast issued in the subsequent year. Finally, I find variation in M&A experience and M&A type influence management earnings forecast properties. Because prior studies of management forecasts often delete observations containing mergers and acquisitions or simply include the firm's market-to-book, my study informs researchers about how the properties of management forecasts are impacted by the uncertainty from a merger or an acquisition.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Accounting. $3 561166
655 7 $a Electronic books. $2 local $3 554714
690 $a 0272
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of Iowa. $b Business Administration. $3 1179113
773 0 $t Dissertation Abstracts International $g 78-12A(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10262819 $z click for full text (PQDT)