2016
DOI: 10.1016/j.jcorpfin.2016.07.009
|View full text |Cite
|
Sign up to set email alerts
|

Property crime, earnings variability, and the cost of capital

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0
4

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 15 publications
(16 citation statements)
references
References 71 publications
0
12
0
4
Order By: Relevance
“…The authors benchmark Compustat data against the true state of corporate headquarters listed on the firm's annual 10-K filing on Electronic Data Gathering, Analysis, and Retrieval (EDGAR) and find that error rates on the 2019 Compustat file exceed 10% and approach 20% as one goes back further in time. To mitigate this problem, some researchers supplement Compustat HQ data with the actual state of headquarters extracted from electronic 10-K filings on the Securities and Exchange Commission's (SEC) EDGAR website, using the programming language PHP (e.g., Brushwood et al, 2016), or else use the historical state of incorporation data from firms' 10-K reports on EDGAR that are available on Bill McDonald's website: https://sraf. nd.edu/data/augmented-10-x-header-data/.…”
Section: Methodological Shortcomingsmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors benchmark Compustat data against the true state of corporate headquarters listed on the firm's annual 10-K filing on Electronic Data Gathering, Analysis, and Retrieval (EDGAR) and find that error rates on the 2019 Compustat file exceed 10% and approach 20% as one goes back further in time. To mitigate this problem, some researchers supplement Compustat HQ data with the actual state of headquarters extracted from electronic 10-K filings on the Securities and Exchange Commission's (SEC) EDGAR website, using the programming language PHP (e.g., Brushwood et al, 2016), or else use the historical state of incorporation data from firms' 10-K reports on EDGAR that are available on Bill McDonald's website: https://sraf. nd.edu/data/augmented-10-x-header-data/.…”
Section: Methodological Shortcomingsmentioning
confidence: 99%
“…Cao et al (2019) document that firms headquartered in high corruption regions in China experience greater stock price crash risk, owing to over-investment in value-destroying projects. Finally, using US state-wide property crime rates from the Bureau of Justice Statistics, Brushwood et al (2016) document that higher crime rates increase both the cost of equity and debt capital, since crime rates increase the exposure to systematic risk (Korniotis & Kumar, 2013).…”
Section: Local Corruption and Capital Market Consequencesmentioning
confidence: 99%
“…Cao et al (2019) document that firms headquartered in high corruption regions in China experience greater stock price crash risk, owing to over‐investment in value‐destroying projects. Finally, using US state‐wide property crime rates from the Bureau of Justice Statistics, Brushwood et al (2016) document that higher crime rates increase both the cost of equity and debt capital, since crime rates increase the exposure to systematic risk (Korniotis & Kumar, 2013).…”
Section: Review Of the Literature On Local Corruptionmentioning
confidence: 99%
“…Benyishay and Pearlman (2013) find that high regional crime rates convey negative effects on the growth of microenterprises. Bonaccorsi di Patti (2009) and Brushwood (2016) show that regions with higher crime rates are associated with more uncertain earnings and higher financing costs. Montoya (2016) and Pshisva and Suarez (2004) show that crime and violence in a region cause subsequent declines in economic activity and investment.…”
Section: Introductionmentioning
confidence: 99%