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Capital Structure and Speed of Adjustment in U.S. Firms. A Comparative Study in Microeconomic and Macroeconomic Conditions - A Quantille Regression Approach

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  • Andreas Kaloudis
  • Dimitrios Tsolis

Abstract

The major perspective of this paper is to provide more evidence regarding how "quickly", in different macroeconomic states, companies adjust their capital structure to their leverage targets. This study extends the empirical research on the topic of capital structure by focusing on a quantile regression method to investigate the behavior of firm-specific characteristics and macroeconomic factors across all quantiles of distribution of leverage (book leverage and market leverage). Therefore, depending on a partial adjustment model, we find that the adjustment speed fluctuated in different stages of book versus market leverage. Furthermore, while macroeconomic states change, we detect clear differentiations of the contribution and the effects of the firm-specific and the macroeconomic variables between market leverage and book leverage debt ratios. Consequently, we deduce that across different macroeconomic states the nature and maturity of borrowing influence the persistence and endurance of the relation between determinants and borrowing.

Suggested Citation

  • Andreas Kaloudis & Dimitrios Tsolis, 2018. "Capital Structure and Speed of Adjustment in U.S. Firms. A Comparative Study in Microeconomic and Macroeconomic Conditions - A Quantille Regression Approach," Papers 1811.04473, arXiv.org.
  • Handle: RePEc:arx:papers:1811.04473
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    1. Hanousek, Jan & Kocenda, Evzen & Maurel, Mathilde, 2011. "Direct and indirect effects of FDI in emerging European markets: A survey and meta-analysis," Economic Systems, Elsevier, vol. 35(3), pages 301-322, September.
    2. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Michael C. Jensen, 2010. "The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems," Journal of Applied Corporate Finance, Morgan Stanley, vol. 22(1), pages 43-58, January.
    5. Kayo, Eduardo K. & Kimura, Herbert, 2011. "Hierarchical determinants of capital structure," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 358-371, February.
    6. Marsh, Paul, 1982. "The Choice between Equity and Debt: An Empirical Study," Journal of Finance, American Finance Association, vol. 37(1), pages 121-144, March.
    7. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    8. Michaelas, Nicos & Chittenden, Francis & Poutziouris, Panikkos, 1999. "Financial Policy and Capital Structure Choice in U.K. SMEs: Empirical Evidence from Company Panel Data," Small Business Economics, Springer, vol. 12(2), pages 113-130, March.
    9. Korajczyk, Robert A. & Levy, Amnon, 2003. "Capital structure choice: macroeconomic conditions and financial constraints," Journal of Financial Economics, Elsevier, vol. 68(1), pages 75-109, April.
    10. Charles Muthama & Peter Mbaluka & Elizabeth Kalunda, 2013. "An Empirical Analysis of Macro-Economic Influences on Corporate Capital Structure of Listed Companies in Kenya," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 2(2), pages 1-3.
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