2019
DOI: 10.1111/irfi.12260
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A Study on Firms with Negative Book Value of Equity

Abstract: This paper studies the puzzling negative book equity phenomenon among US public firms. Our evidence suggests that negative book equity firms exhibit heterogeneous characteristics. We show that a great portion of these firms, while operating at excessive capital structure with leverage ratio over 100%, are financially and operationally healthy. These healthy negative book equity firms increase their debt primarily motived by a need for funds to fulfill investment demand. We also find that the off‐balance sheet … Show more

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Cited by 8 publications
(4 citation statements)
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“…The same applies to observations with missing be. This is in line with Luo, Liu, and Tripathy (2021), who argue that negative book equity firms are indeed financially healthy but increase their debt to meet current investment demand.…”
Section: Recovering Missing Firm Characteristicssupporting
confidence: 88%
“…The same applies to observations with missing be. This is in line with Luo, Liu, and Tripathy (2021), who argue that negative book equity firms are indeed financially healthy but increase their debt to meet current investment demand.…”
Section: Recovering Missing Firm Characteristicssupporting
confidence: 88%
“…Jan and Ou (2012) find that NBE firms are priced higher than positive BE firms, while Ang (2015) argues that NBE stocks experience substantial loss subsequent to their announcement of negative book value. Luo, Liu, and Tripathy (2019) conclude that not all NBE firms are financially distressed, and some of them use excessive leverage to finance off-balanced intangible assets. Dichev (1998) and Campbell et al (2008) remark that distress risk is not rewarded by higher returns.…”
Section: Literature Reviewmentioning
confidence: 98%
“…more than half of the time. The baseline analysis does not exclude firms which incidentally reported negative equity, because such cases are highly prevalent and often not indicative of financial distress (Jan and Ou, 2012;Luo et al, 2021). Table A.2 provides an overview of the data cleaning steps and the impact on the sample.…”
Section: A1 Data Descriptionmentioning
confidence: 99%