Asymmetric Capital Structure Adjustments: New Evidence from a Dynamic Panel Threshold Model

This paper proposes a novel empirical approach, called the dynamic threshold panel-data model of leverage, to testing the validity of the dynamic trade-off theory, allowing for asymmetric and costly capital structure adjustments. This approach enables us to consistently estimate the asymmetric adjustment speeds in two regimes, each of which is associated with a differential adjustment cost. We examine several proxies for adjustment costs, financial flexibility and financial constraints that affect capital structure adjustment. Using an unbalanced panel of U.K. firms between 1996-2003, we find that firms deviating considerably away from the target leverage undertake slower adjustment, low-growth firms adjust more quickly, and internal financial constraints, measured by the dividend payout ratio and firm investment, significantly reduce the speed of adjustment. Overall, the paper documents strong evidence in favor of a positive relationship between leverage and the speed of adjustment, suggesting that highly leveraged firms undertake quicker adjustment to reduce potentially high bankruptcy and liquidation costs, a finding consistent with the dynamic trade-off theory of capital structure.

[1]  Soku Byoun How and When Do Firms Adjust Their Capital Structures Toward Targets? , 2008 .

[2]  Julio Pindado,et al.  Determinants of Financial Insolvency Costs: New Evidence from International Data , 2004 .

[3]  Paulo Renato Soares Terra,et al.  The cost of capital, corporation finance and the theory of investment , 2008 .

[4]  Heitor Almeida,et al.  Financial Constraints, Asset Tangibility, and Corporate Investment , 2004 .

[5]  Yilmaz Guney,et al.  The Determinants of Capital Structure: Capital Market-Oriented versus Bank-Oriented Institutions , 2008, Journal of Financial and Quantitative Analysis.

[6]  R. Taffler Empirical models for the monitoring of UK corporations , 1984 .

[7]  Michael L. Lemmon,et al.  Back to the Beginning: Persistence and the Cross-Section of Corporate Capital Structure , 2006 .

[8]  M. Nerlove,et al.  Biases in dynamic models with fixed effects , 1988 .

[9]  M. Flannery,et al.  Partial Adjustment Toward Target Capital Structures , 2004 .

[10]  A. Auerbach Real Determinants of Corporate Leverage , 1983 .

[11]  R. Davies Hypothesis testing when a nuisance parameter is present only under the alternative , 1977 .

[12]  Ilya A. Strebulaev,et al.  Do Tests of Capital Structure Theory Mean What They Say? , 2004 .

[13]  O. Linton,et al.  A Smoothed Least Squares Estimator for Threshold Regression Models , 2005 .

[14]  Murray Z. Frank,et al.  Trade-Off and Pecking Order Theories of Debt , 2007 .

[15]  Sheridan Titman,et al.  The Debt-Equity Choice , 2001, Journal of Financial and Quantitative Analysis.

[16]  Bruce D. McCullough,et al.  Regression analysis of proportions in finance with self selection , 2008 .

[17]  Peter Schmidt,et al.  Efficient estimation of models for dynamic panel data , 1995 .

[18]  H. Leland. Corporate Debt Value, Bond Covenants, and Optimal Capital Structure , 1994, World Scientific Reference on Contingent Claims Analysis in Corporate Finance.

[19]  W. Newey,et al.  A method of moments interpretation of sequential estimators , 1984 .

[20]  D. Andrews,et al.  Optimal Tests When a Nuisance Parameter Is Present Only Under the Alternative , 1992 .

[21]  Aydin Ozkan Determinants of Capital Structure and Adjustment to Long Run Target: Evidence From UK Company Panel Data , 2001 .

[22]  B. Hansen Sample Splitting and Threshold Estimation , 2000 .

[23]  P. Pope Leverage , Debt Maturity and Firm Investment : An Empirical Analysis , 2010 .

[24]  Robert A. Korajczyk,et al.  Capital Structure Choice: Macroeconomic Conditions and Financial Constraints , 2002 .

[25]  R. Blundell,et al.  Initial Conditions and Moment Restrictions in Dynamic Panel Data Models , 1998 .

[26]  Manuel Arellano Panel Data Econometrics. Advanced Texts in Econometrics , 2002 .

[27]  Mark T. Leary,et al.  Do Firms Rebalance Their Capital Structures? , 2004 .

[28]  M. Arellano,et al.  Another look at the instrumental variable estimation of error-components models , 1995 .

[29]  Artur Raviv,et al.  The Theory of Capital Structure , 1991 .

[30]  Gerdie Everaert,et al.  Bootstrap-based bias correction for dynamic panels , 2007 .

[31]  Sheridan Titman,et al.  The Determinants of Capital Structure Choice , 1988 .

[32]  Julio Pindado,et al.  Determinants of capital structure: new evidence from Spanish panel data , 2001 .

[33]  Peter Schmidt,et al.  Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation , 1997 .

[34]  James P. Ziliak Efficient Estimation with Panel Data When Instruments Are Predetermined: An Empirical Comparison of Moment-Condition Estimators , 1997 .

[35]  Robert Heinkel,et al.  Dynamic Capital Structure Choice: Theory and Tests , 1989 .

[36]  Ravi Jagannathan,et al.  Generalized Method of Moments: Applications in Finance , 2002 .

[37]  Stewart C. Myers,et al.  Testing static tradeoff against pecking order models of capital structure 1 , 1999 .

[38]  S. Kaplan,et al.  Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints? , 1997 .

[39]  Jeffrey Wurgler,et al.  Market Timing and Capital Structure , 2001 .

[40]  W. Drobetz,et al.  Firm Characteristics and Dynamic Capital Structure Adjustment , 2006 .

[41]  Paulo Renato Soares Terra,et al.  MODIGLIANI, F.; MILLER, M.H. 1958. The Cost of Capital, Corporation Finance and the Theory of Investment. American Economic Review , 48 (3):261-297. , 2008 .

[42]  F. Windmeijer A Finite Sample Correction for the Variance of Linear Two-Step GMM Estimators , 2000 .

[43]  Bruce E. Hansen,et al.  Threshold effects in non-dynamic panels: Estimation, testing, and inference , 1999 .

[44]  Firms' Histories and Their Capital Structures , 2005 .

[45]  Armen Hovakimian The Role of Target Leverage in Security Issues and Repurchases , 2001 .

[46]  René M. Stulz,et al.  Leverage, Investment, and Firm Growth , 1994 .

[47]  Robert S. Harris,et al.  Corporate Behavior in Adjusting to Capital Structure and Dividend Targets: An Econometric Study , 1984 .

[48]  David Roodman How to do Xtabond2: An Introduction to Difference and System GMM in Stata , 2006 .

[49]  R. Rajan,et al.  What Do We Know About Capital Structure? Some Evidence from International Data , 1994 .

[50]  R. Litzenberger,et al.  A State-Preference Model of Optimal Financial Leverage , 1973 .

[51]  Cheng Hsiao,et al.  Formulation and estimation of dynamic models using panel data , 1982 .

[52]  Long Chen,et al.  Mechanical mean reversion of leverage ratios , 2007 .

[53]  Rongbing Huang,et al.  Testing Theories of Capital Structure and Estimating the Speed of Adjustment , 2009, Journal of Financial and Quantitative Analysis.

[54]  M. Arellano,et al.  Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations , 1991 .

[55]  I. Welch Common Flaws in Empirical Capital Structure Research , 2006 .

[56]  James A. Ohlson FINANCIAL RATIOS AND THE PROBABILISTIC PREDICTION OF BANKRUPTCY , 1980 .

[57]  M. C. Jensen,et al.  Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers , 1999 .

[58]  Sheridan Titman,et al.  A Dynamic Model of Optimal Capital Structure , 2002 .

[59]  D. Andrews,et al.  Testing for Serial Correlation against an ARMA(1,1) Process , 1996 .

[60]  W. Drobetz,et al.  What determines the speed of adjustment to the target capital structure? , 2006 .

[61]  E. H. Kim,et al.  ON THE EXISTENCE OF AN OPTIMAL CAPITAL STRUCTURE: THEORY AND EVIDENCE , 1984 .

[62]  Adrian Pagan,et al.  Econometric Issues in the Analysis of Regressions with Generated Regressors. , 1984 .

[63]  Jaime F. Zender,et al.  Debt Capacity and Tests of Capital Structure Theories , 2002, Journal of Financial and Quantitative Analysis.

[64]  M. C. Jensen,et al.  Harvard Business School; SSRN; National Bureau of Economic Research (NBER); European Corporate Governance Institute (ECGI); Harvard University - Accounting & Control Unit , 1976 .

[65]  Bruce E. Hansen,et al.  INSTRUMENTAL VARIABLE ESTIMATION OF A THRESHOLD MODEL , 2004, Econometric Theory.

[66]  F. Windmeijer A Finite Sample Correction for the Variance of Linear Two-Step GMM Estimators , 2000 .

[67]  Ronald W. Masulis,et al.  Optimal Capital Structure Under Corporate and Personal Taxation , 1980 .

[68]  Bruce E. Hansen,et al.  Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis , 1996 .

[69]  Michael J. Brennan,et al.  Corporate Income Taxes, Valuation, and the Problem of Optimal Capital Structure , 2019, World Scientific Reference on Contingent Claims Analysis in Corporate Finance.

[70]  K. Chan,et al.  Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model , 1993 .

[71]  Edward I. Altman,et al.  FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY , 1968 .

[72]  S. Myers Determinants of corporate borrowing , 1977 .

[73]  M. Arellano,et al.  The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators , 2003 .

[74]  J. Hahn,et al.  Long difference instrumental variables estimation for dynamic panel models with fixed effects , 2007 .

[75]  S. Dasgupta,et al.  Target Behavior and Financing: How Conclusive is the Evidence? , 2006 .

[76]  A. Heshmati,et al.  The Dynamics of Capital Structure , 2000 .

[77]  E. Fama,et al.  Testing Tradeoff and Pecking Order Predictions About Dividends and Debt , 2000 .

[78]  Ivo Welch,et al.  Capital Structure and Stock Returns , 2003, Journal of Political Economy.