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Using 10-K Text to Gauge Financial Constraints
by
McDonald, Bill
, Bodnaruk, Andriy
, Loughran, Tim
in
1996-2011
/ Capital
/ Capital structure
/ Constraints
/ Control variables
/ Defined benefit pension plan
/ Dividends
/ Employee pension plans
/ Equity
/ Linear regression
/ Liquidity
/ Pension plans
/ Pensions
/ Quantitative analysis
/ Recycling
/ Sales growth
/ Underfunded pension plans
2015
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Using 10-K Text to Gauge Financial Constraints
by
McDonald, Bill
, Bodnaruk, Andriy
, Loughran, Tim
in
1996-2011
/ Capital
/ Capital structure
/ Constraints
/ Control variables
/ Defined benefit pension plan
/ Dividends
/ Employee pension plans
/ Equity
/ Linear regression
/ Liquidity
/ Pension plans
/ Pensions
/ Quantitative analysis
/ Recycling
/ Sales growth
/ Underfunded pension plans
2015
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Using 10-K Text to Gauge Financial Constraints
by
McDonald, Bill
, Bodnaruk, Andriy
, Loughran, Tim
in
1996-2011
/ Capital
/ Capital structure
/ Constraints
/ Control variables
/ Defined benefit pension plan
/ Dividends
/ Employee pension plans
/ Equity
/ Linear regression
/ Liquidity
/ Pension plans
/ Pensions
/ Quantitative analysis
/ Recycling
/ Sales growth
/ Underfunded pension plans
2015
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Journal Article
Using 10-K Text to Gauge Financial Constraints
2015
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Overview
Measuring the extent to which a firm is financially constrained is critical in assessing capital structure. Extant measures of financial constraints focus on macro firm characteristics such as age and size, variables highly correlated with other firm attributes. We parse 10-K disclosures filed with the U.S. Securities and Exchange Commission (SEC) using a unique lexicon based on constraining words. We find that the frequency of constraining words exhibits very low correlation with traditional measures of financial constraints and predicts subsequent liquidity events, such as dividend omissions or increases, equity recycling, and underfunded pensions, better than widely used financial constraint indexes.
Publisher
Cambridge University Press,Cambridge University Press$h1966
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