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Dynamic corporate capital structure behavior: empirical assessment in the light of heterogeneity and non stationarity

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  • M. E. Bontempi
  • L. Bottazzi
  • R. Golinelli

Abstract

Understanding the dynamics of the leverage ratio is at the heart of the empirical research about firms' capital structure, as they can be very different under alternative theoretical models. The pillars of almost all empirical applications are the maintained assumptions of poolability and stationarity, which are motivated by the need of model s simplicity and treatability, rather than being based on an empirical ground. In this paper we provide robust evidence of non-stationarity for a significantly large share of US firms' debt ratios and of strong heterogeneity in the speeds at which firms adjust towards their targets. These results stimulate new directions of the empirical research on debt ratio dynamics by relying more on the concept of heterogeneous degree of leverage persistence.

Suggested Citation

  • M. E. Bontempi & L. Bottazzi & R. Golinelli, 2015. "Dynamic corporate capital structure behavior: empirical assessment in the light of heterogeneity and non stationarity," Working Papers wp988, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Handle: RePEc:bol:bodewp:wp988
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    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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