The Debt Capacity of a Government

2021 ◽  
Author(s):  
Bernard Dumas ◽  
Paul Ehling ◽  
Chunyu Yang
Keyword(s):  
GIS Business ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. 39-45
Author(s):  
J. P. Singh

This article sets up a single period value maximization model for the firm based on stochastic end-of-period cash inflows, stochastic bankruptcy costs and taxes based on income rather than wealth. The risk-return trade-off is captured in the Capital Asset Pricing Model. Thus, the model also assumes a perfect capital market and market equilibrium. The model establishes the existence of a unique optimal financial leverage at which the firm value is maximized, this leverage being less than the maximum debt capacity of the firm.


2020 ◽  
Author(s):  
François Derrien ◽  
Alexandre Garel ◽  
Arthur Petit-Romec ◽  
Jean-Philippe Weisskopf

2020 ◽  
Vol 66 (7) ◽  
pp. 2951-2974 ◽  
Author(s):  
Yongqiang Chu

This paper studies how the ease of repossessing collateral in bankruptcy affects corporate leasing policy. Using plausibly exogenous variation of the ability to repossess assets generated by state antirecharacterization laws, I find that the antirecharacterization laws, which make collateral repossession easier for secured lending, reduces corporate leasing. Consistent with the argument that only financially constrained firms value additional debt capacity because of the increased ability to repossess assets, I find that the effect concentrates in financially constrained firms. I also find that the effect is much stronger for firms with less specific assets. In addition, I find that the laws also affect leverage, cash holding, and corporate investment. This paper was accepted by Gustavo Manso, finance.


2010 ◽  
Vol 95 (3) ◽  
pp. 332-355 ◽  
Author(s):  
Mark T. Leary ◽  
Michael R. Roberts

1982 ◽  
Vol 11 (2) ◽  
pp. 42 ◽  
Author(s):  
S. Ghon Rhee ◽  
Franklin L. McCarthy

1990 ◽  
Vol 32 (1) ◽  
pp. 7-12 ◽  
Author(s):  
Arvind K. Jain
Keyword(s):  

2018 ◽  
Vol 20 (2) ◽  
pp. 137 ◽  
Author(s):  
Victoria Cherkasova ◽  
Evgeny Kuzmin

This study explores the impact of a company’s financial flexibility on the effectiveness of its investments.The number of companies that have financial flexibility was calculated with the application of thespare debt capacity method. The research identifies the impact of financial flexibility on investment activity and on the level of suboptimal investments. The data from 1,736 companies in theAsian region, during the 2005-2015time period, are presented. The Asian region has unique institutional, economic and commercial environments that present a great basis for this paper. The results of the research reveal that financially flexible companies spend more on their investment expenditure and conduct more effective investment policiesby reducing the level of over- and underinvestment. Financial flexibility helps companies to make effective investments during a crisis period, but the difference in the flexibility between developed and developing countries and between large and small companies was not observed.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hicham Meghouar ◽  
Mohammed Ibrahimi

PurposeThe purpose of this research is to highlight the financial characteristics of large French targets which were subject to takeovers during the period 2001–2007 and thereafter deduct the implicit motivations of acquirers.Design/methodology/approachUsing a global sample of 128 French listed companies (64 targets and 64 non-targets), the authors carried out Wilcoxon–Mann–Whitney testing and logistic regression in order to test nine hypotheses likely to discriminate between the two categories of companies (targets and non-targets).FindingsAccording to the results, target firms are more unbalanced in terms of growth resources and less rich in liquidity than their peers. They have unused debt capacity, offer greater opportunities for growth than firms in the control group and present low levels of value creation.Research limitations/implicationsThe main limitation of this study is regarding the sample size, limited by the exclusive use of large firms (deals of over $100m). The scope of this research could be broadened in future by including medium-sized companies.Practical implicationsThe authors believe that their results have two major implications. First, they enable market investors to achieve abnormal returns by investing in predicted targets through a portfolio of high takeover probability firms. Second, CEO of companies that are potentially targeted can assess their takeover likelihood in order to act and to manage such a situation for the benefit of their shareholders.Originality/valueThis research concerns the last wave of takeover prior to the subprime-mortgage financial crisis (2001–2007), a period that has not been sufficiently covered in empirical studies. This research contributes to the existing literature in two main respects. First, the results of this study improve our understanding of motivations for takeovers, particularly in the French context. Second, the introduction of new accounting and financial variables, not previously tested in the literature, enriches the available information concerning the profile of takeover targets.


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