Heterogeneity in Speed of Adjustment using Finite Mixture Models

Many empirical analyses of firms' speed of leverage adjustment (SOA) impose a strong constraint: an average SOA is estimated for all firms in a sample. We demonstrate the usefulness of finite mixture models (FMM) in corporate finance by analysing estimates of firms' SOA. Applying FMM to a...

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Main Authors: Durand, Robert, Greene, William, Harris, Mark, Khoo, Joye
Format: Journal Article
Language:English
Published: Elsevier 2021
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/88779
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author Durand, Robert
Greene, William
Harris, Mark
Khoo, Joye
author_facet Durand, Robert
Greene, William
Harris, Mark
Khoo, Joye
author_sort Durand, Robert
building Curtin Institutional Repository
collection Online Access
description Many empirical analyses of firms' speed of leverage adjustment (SOA) impose a strong constraint: an average SOA is estimated for all firms in a sample. We demonstrate the usefulness of finite mixture models (FMM) in corporate finance by analysing estimates of firms' SOA. Applying FMM to a sample of US firms during 1972–2017, we find five distinct types of firm behaviours, each with its own SOA. Moreover, the same explanatory variables can have quite differing effects across the groups. We also offer the applied researcher a battery of validation techniques that can be used in a FMM context. FMM should be a standard part of finance researchers’ tool-kits.
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spelling curtin-20.500.11937-887792022-06-27T06:52:09Z Heterogeneity in Speed of Adjustment using Finite Mixture Models Durand, Robert Greene, William Harris, Mark Khoo, Joye Social Sciences Economics Business & Economics Speed of leverage adjustment Finite mixture models Dynamic panel data OPTIMAL CAPITAL STRUCTURE PANEL-DATA MODELS CORPORATE GOVERNANCE STRUCTURE DECISIONS DYNAMIC-MODELS HEALTH-CARE COMPONENTS EQUITY INFORMATION ESTIMATORS Many empirical analyses of firms' speed of leverage adjustment (SOA) impose a strong constraint: an average SOA is estimated for all firms in a sample. We demonstrate the usefulness of finite mixture models (FMM) in corporate finance by analysing estimates of firms' SOA. Applying FMM to a sample of US firms during 1972–2017, we find five distinct types of firm behaviours, each with its own SOA. Moreover, the same explanatory variables can have quite differing effects across the groups. We also offer the applied researcher a battery of validation techniques that can be used in a FMM context. FMM should be a standard part of finance researchers’ tool-kits. 2021 Journal Article http://hdl.handle.net/20.500.11937/88779 10.1016/j.econmod.2021.105713 English Elsevier restricted
spellingShingle Social Sciences
Economics
Business & Economics
Speed of leverage adjustment
Finite mixture models
Dynamic panel data
OPTIMAL CAPITAL STRUCTURE
PANEL-DATA MODELS
CORPORATE GOVERNANCE
STRUCTURE DECISIONS
DYNAMIC-MODELS
HEALTH-CARE
COMPONENTS
EQUITY
INFORMATION
ESTIMATORS
Durand, Robert
Greene, William
Harris, Mark
Khoo, Joye
Heterogeneity in Speed of Adjustment using Finite Mixture Models
title Heterogeneity in Speed of Adjustment using Finite Mixture Models
title_full Heterogeneity in Speed of Adjustment using Finite Mixture Models
title_fullStr Heterogeneity in Speed of Adjustment using Finite Mixture Models
title_full_unstemmed Heterogeneity in Speed of Adjustment using Finite Mixture Models
title_short Heterogeneity in Speed of Adjustment using Finite Mixture Models
title_sort heterogeneity in speed of adjustment using finite mixture models
topic Social Sciences
Economics
Business & Economics
Speed of leverage adjustment
Finite mixture models
Dynamic panel data
OPTIMAL CAPITAL STRUCTURE
PANEL-DATA MODELS
CORPORATE GOVERNANCE
STRUCTURE DECISIONS
DYNAMIC-MODELS
HEALTH-CARE
COMPONENTS
EQUITY
INFORMATION
ESTIMATORS
url http://hdl.handle.net/20.500.11937/88779