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Earnings Forecasts and Market Valuat...

Alzaimoor, Najeeba Abdulla.

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Earnings Forecasts and Market Valuation of Profit and Loss-Making Firms.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Earnings Forecasts and Market Valuation of Profit and Loss-Making Firms./
Author:	Alzaimoor, Najeeba Abdulla.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	386 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-10, Section: A.
Contained By:	Dissertations Abstracts International82-10A.
Subject:	Accuracy. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28386139
ISBN:	9798597030593

Earnings Forecasts and Market Valuation of Profit and Loss-Making Firms.
Alzaimoor, Najeeba Abdulla.

Earnings Forecasts and Market Valuation of Profit and Loss-Making Firms. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 386 p.

Source: Dissertations Abstracts International, Volume: 82-10, Section: A.

Thesis (Ph.D.)--The University of Manchester (United Kingdom), 2019.

This item must not be sold to any third party vendors.

This thesis consists of three empirical studies in market-based accounting research. In particular, this thesis focuses on earnings forecasts and the market valuation of profit-making and loss-making firms separately. Overall, these studies contribute to the understanding of forecasting earnings and the properties of the resulting estimates of both profit and loss persistence classifications in understanding the valuation of profit-making and loss-making firms.In the first study, we investigate the possibility of building better cross-sectional models to forecast earnings for profit-making and loss-making firms. We first examine the accuracy of the Hou et al. (2012) (HDZ) model when generating one year-ahead earnings forecasts for profit and loss-making firms separately. We then develop an extended cross-sectional earnings forecasting model that contains all the financial statement items that are reported to be useful for forecasting earnings and the valuation of the firms in prior studies. Our findings suggest that it is better to develop a cross-sectional earnings forecasting model for profit and loss-making firms separately. Further, our expanded models outperform the HDZ models in terms of forecast accuracy for profit-making and loss-making firms generally.In the second study, we examine the ability of one year-ahead earnings forecasts to capture the future prospects of profit-making firms. We use the extended cross-sectional earnings forecasting model developed in the first study to compute the earnings forecasts. We then introduce a classification scheme that assigns profit-making firms into two categories based on whether firms are expected to report a profit (persistent) or a loss (transitory) in the next year. Building on a simple earnings and book value valuation model, we find that our one year-ahead earnings forecasts have an incremental value over and above current earnings and book value in the valuation of profit-making firms. Furthermore, the relative valuation importance of our one year-ahead earnings forecasts, current earnings, and book value depends on profit persistence as defined by our earnings forecasts.In the third study, we examine the ability of one year-ahead earnings forecasts to capture the future prospects of loss-making firms. We use the extended cross-sectional earnings forecasting model developed in the first study to compute the earnings forecasts. We then classify loss-making firms into persistent (negative earnings forecasts) and transitory (positive earnings forecasts) groups based upon the sign of the forecasted earnings. Using the Darrough and Ye (2007) valuation model as our baseline model and the sample of loss-making firms, we demonstrate that the earnings forecasts have incremental information content over and above other important value drivers that are used to indirectly capture a firm's future prospects. In addition, investors price our earnings forecasts conditional upon loss persistence. Further, investors price both current earnings and book value conditional upon loss persistence.

ISBN: 9798597030593Subjects--Topical Terms:

3559958
Accuracy.
Subjects--Index Terms:

Earnings forecasts

Earnings Forecasts and Market Valuation of Profit and Loss-Making Firms.
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500 $a Source: Dissertations Abstracts International, Volume: 82-10, Section: A.
500 $a Advisor: Stark, Andrew;Jiang, Wei.
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506 $a This item must not be sold to any third party vendors.
520 $a This thesis consists of three empirical studies in market-based accounting research. In particular, this thesis focuses on earnings forecasts and the market valuation of profit-making and loss-making firms separately. Overall, these studies contribute to the understanding of forecasting earnings and the properties of the resulting estimates of both profit and loss persistence classifications in understanding the valuation of profit-making and loss-making firms.In the first study, we investigate the possibility of building better cross-sectional models to forecast earnings for profit-making and loss-making firms. We first examine the accuracy of the Hou et al. (2012) (HDZ) model when generating one year-ahead earnings forecasts for profit and loss-making firms separately. We then develop an extended cross-sectional earnings forecasting model that contains all the financial statement items that are reported to be useful for forecasting earnings and the valuation of the firms in prior studies. Our findings suggest that it is better to develop a cross-sectional earnings forecasting model for profit and loss-making firms separately. Further, our expanded models outperform the HDZ models in terms of forecast accuracy for profit-making and loss-making firms generally.In the second study, we examine the ability of one year-ahead earnings forecasts to capture the future prospects of profit-making firms. We use the extended cross-sectional earnings forecasting model developed in the first study to compute the earnings forecasts. We then introduce a classification scheme that assigns profit-making firms into two categories based on whether firms are expected to report a profit (persistent) or a loss (transitory) in the next year. Building on a simple earnings and book value valuation model, we find that our one year-ahead earnings forecasts have an incremental value over and above current earnings and book value in the valuation of profit-making firms. Furthermore, the relative valuation importance of our one year-ahead earnings forecasts, current earnings, and book value depends on profit persistence as defined by our earnings forecasts.In the third study, we examine the ability of one year-ahead earnings forecasts to capture the future prospects of loss-making firms. We use the extended cross-sectional earnings forecasting model developed in the first study to compute the earnings forecasts. We then classify loss-making firms into persistent (negative earnings forecasts) and transitory (positive earnings forecasts) groups based upon the sign of the forecasted earnings. Using the Darrough and Ye (2007) valuation model as our baseline model and the sample of loss-making firms, we demonstrate that the earnings forecasts have incremental information content over and above other important value drivers that are used to indirectly capture a firm's future prospects. In addition, investors price our earnings forecasts conditional upon loss persistence. Further, investors price both current earnings and book value conditional upon loss persistence.
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650 4 $a Performance evaluation. $3 3562292
650 4 $a Investments. $3 566987
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650 4 $a Estimates. $3 3561047
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