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Monte Carlo simulations and capital structure research

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Monte Carlo simulations and capital structure research. / Chang, Xin; Dasgupta, Sudipto.
In: International Review of Finance, Vol. 11, No. 1, 03.2011, p. 19-55.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Chang, X & Dasgupta, S 2011, 'Monte Carlo simulations and capital structure research', International Review of Finance, vol. 11, no. 1, pp. 19-55. https://doi.org/10.1111/j.1468-2443.2011.01126.x

APA

Vancouver

Chang X, Dasgupta S. Monte Carlo simulations and capital structure research. International Review of Finance. 2011 Mar;11(1):19-55. Epub 2011 Mar 2. doi: 10.1111/j.1468-2443.2011.01126.x

Author

Chang, Xin ; Dasgupta, Sudipto. / Monte Carlo simulations and capital structure research. In: International Review of Finance. 2011 ; Vol. 11, No. 1. pp. 19-55.

Bibtex

@article{5ff65c94fa16475cb4b04a86001bf799,
title = "Monte Carlo simulations and capital structure research",
abstract = "The evolution of the debt ratio under alternative types of managerial behavior can generate non-standard leverage processes. This creates problems for statistical inference in empirical capital structure research. We argue in this paper that when the data generating process is not standard, a useful way to evaluate the appropriateness of inferences and the empirical methodology is via Monte Carlo simulations that mimic the data generating process under alternative assumptions about managerial behavior. We illustrate with several examples",
author = "Xin Chang and Sudipto Dasgupta",
year = "2011",
month = mar,
doi = "10.1111/j.1468-2443.2011.01126.x",
language = "English",
volume = "11",
pages = "19--55",
journal = "International Review of Finance",
issn = "1468-2443",
publisher = "John Wiley and Sons Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Monte Carlo simulations and capital structure research

AU - Chang, Xin

AU - Dasgupta, Sudipto

PY - 2011/3

Y1 - 2011/3

N2 - The evolution of the debt ratio under alternative types of managerial behavior can generate non-standard leverage processes. This creates problems for statistical inference in empirical capital structure research. We argue in this paper that when the data generating process is not standard, a useful way to evaluate the appropriateness of inferences and the empirical methodology is via Monte Carlo simulations that mimic the data generating process under alternative assumptions about managerial behavior. We illustrate with several examples

AB - The evolution of the debt ratio under alternative types of managerial behavior can generate non-standard leverage processes. This creates problems for statistical inference in empirical capital structure research. We argue in this paper that when the data generating process is not standard, a useful way to evaluate the appropriateness of inferences and the empirical methodology is via Monte Carlo simulations that mimic the data generating process under alternative assumptions about managerial behavior. We illustrate with several examples

U2 - 10.1111/j.1468-2443.2011.01126.x

DO - 10.1111/j.1468-2443.2011.01126.x

M3 - Journal article

VL - 11

SP - 19

EP - 55

JO - International Review of Finance

JF - International Review of Finance

SN - 1468-2443

IS - 1

ER -