TY - JOUR
T1 - Debt Market Trends and Predictors of Specialization
T2 - An Analysis of Pakistani Corporate Sector
AU - Khan, Kanwal Iqbal
AU - Qadeer, Faisal
AU - Mata, Mario Nuno
AU - Dantas, Rui Miguel
AU - Xavier Rita, Joao
AU - Martins, Jessica Nunes
N1 - Khan, K. I., Qadeer, F., Mata, M. N., Dantas, R. M., Xavier Rita, J., & Martins, J. N. (2021). Debt Market Trends and Predictors of Specialization: An Analysis of Pakistani Corporate Sector. JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 14(5), 1-16. [224]. https://doi.org/10.3390/jrfm14050224
PY - 2021/5/17
Y1 - 2021/5/17
N2 - Recently, debt structure research has started focusing on the strategic perspective of financing choices, particularly to understand the reasons for debt specialization (DS). This paper examines trends of specialization over time and industry by using a comprehensive dataset on types of debt employed by the public limited companies during 2009-2018. The objective of the current study is to analyze the effect of debt market conditions by identifying significant predictors of DS. Time-series and cross-sectional results confirm the existence of DS, which is further validated by the findings of the cluster analysis. The empirical results indicate that overall, 61% of the companies solely rely on a single type of debt, mostly on short-term obligations accompanied by long-term secured and other debts. Moreover, small, mature, rated, group-affiliated, and low-leverage companies incline more towards this strategy. Credit rating, debt maturity, financial and interest coverage ratios serve as the primary determinants of the debt market that are significantly associated with the measures of DS. The results contribute to the capital structure literature by specifying that financing choice has an important implication in deciding the debt structure composition of the organizations.
AB - Recently, debt structure research has started focusing on the strategic perspective of financing choices, particularly to understand the reasons for debt specialization (DS). This paper examines trends of specialization over time and industry by using a comprehensive dataset on types of debt employed by the public limited companies during 2009-2018. The objective of the current study is to analyze the effect of debt market conditions by identifying significant predictors of DS. Time-series and cross-sectional results confirm the existence of DS, which is further validated by the findings of the cluster analysis. The empirical results indicate that overall, 61% of the companies solely rely on a single type of debt, mostly on short-term obligations accompanied by long-term secured and other debts. Moreover, small, mature, rated, group-affiliated, and low-leverage companies incline more towards this strategy. Credit rating, debt maturity, financial and interest coverage ratios serve as the primary determinants of the debt market that are significantly associated with the measures of DS. The results contribute to the capital structure literature by specifying that financing choice has an important implication in deciding the debt structure composition of the organizations.
KW - debt structure
KW - capital structure
KW - debt specialization
KW - financing choices
KW - debt market conditions
KW - financial instruments
KW - short-term loans
KW - long-term loans
UR - https://www.webofscience.com/wos/alldb/full-record/WOS:000654166600001
U2 - 10.3390/jrfm14050224
DO - 10.3390/jrfm14050224
M3 - Article
VL - 14
SP - 1
EP - 16
JO - Journal of Risk and Financial Management
JF - Journal of Risk and Financial Management
SN - 1911-8066
IS - 5
M1 - 224
ER -