2008
DOI: 10.1007/s10203-007-0079-3
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The optimal capital structure of the firm with stable Lévy assets returns

Abstract: Optimal capital structure, Default risk, Stable processes, Credit spreads, C60, G32, 60G52, 91B28,

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Cited by 13 publications
(3 citation statements)
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“…With continuous monitoring, an analytical treatment becomes possible for a Brownian motion or if we impose strong restrictions on the structure of the considered Lévy process [44,52], such as the assumption that it is spectrally one-sided, i.e., jumps are either always up or always down. Another assumption that makes the factorization feasible is if the jumps are of phase type [4], which includes the Kou double exponential jump model [38] as a special case.…”
Section: Spitzer Identity and Wiener-hopf Factorizationmentioning
confidence: 99%
“…With continuous monitoring, an analytical treatment becomes possible for a Brownian motion or if we impose strong restrictions on the structure of the considered Lévy process [44,52], such as the assumption that it is spectrally one-sided, i.e., jumps are either always up or always down. Another assumption that makes the factorization feasible is if the jumps are of phase type [4], which includes the Kou double exponential jump model [38] as a special case.…”
Section: Spitzer Identity and Wiener-hopf Factorizationmentioning
confidence: 99%
“…In the study [4] the author investigated various properties of the debt and credit of a firm which keeps a constant profile of debt and chooses its bankruptcy level endogenously, to maximize the value of the equity. The paper [5] has a new structural default model under the assumption that a firm's asset return follows a dynamic displaying jumps of both signs. It makes use of stable Lévy processes and computes the values of the firm, debt and equity under this assumption.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Firstly, it offers an enhanced structural approach to credit modelling by considering driving risk processes with asymmetric and leptokurtic distributions. This in particular allows for a better portrayal of "extreme" events such as default, and therefore improves the calibration performance of the structural approach (see Chen andKou 2009, Le Courtois andQuittard-Pinon 2008, for example).…”
Section: Introductionmentioning
confidence: 99%