Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Modeling Default Probability by KMV Model. / Weissova, Ivana; Siekelova, Anna; Dengov, Viktor; Misankova, Maria.
5TH INTERNATIONAL CONFERENCE ON APPLIED SOCIAL SCIENCE (ICASS 2015), PT 2. INFORMATION ENGINEERING RESEARCH INSTITUTE PRESS, 2015. p. 411-416 (Advances in Education Research; Vol. 81).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TY - GEN
T1 - Modeling Default Probability by KMV Model
AU - Weissova, Ivana
AU - Siekelova, Anna
AU - Dengov, Viktor
AU - Misankova, Maria
PY - 2015
Y1 - 2015
N2 - This document explains and demonstrates one of the most popular models which determine company's default probability. This model is based on the structural approach, it is KMV model. KMV model is also known as Credit Monitor Model. It was created by Moody's Corporation. KMV model is based on the Merton Optional Concept where credit risk is controlled by dynamic value of company's assets. KMV model is best used for publicly traded companies whose the value of assets is determined by market. The main aim of KMV model is predict the expected default frequency, therefore default probability for individual debtors. This probability is based on the company's capital structure, on the market value of company's assets and their volatility. In the theoretical part this document explains the process of using KMV model. In the practical part is KMV model used on the model example.
AB - This document explains and demonstrates one of the most popular models which determine company's default probability. This model is based on the structural approach, it is KMV model. KMV model is also known as Credit Monitor Model. It was created by Moody's Corporation. KMV model is based on the Merton Optional Concept where credit risk is controlled by dynamic value of company's assets. KMV model is best used for publicly traded companies whose the value of assets is determined by market. The main aim of KMV model is predict the expected default frequency, therefore default probability for individual debtors. This probability is based on the company's capital structure, on the market value of company's assets and their volatility. In the theoretical part this document explains the process of using KMV model. In the practical part is KMV model used on the model example.
KW - KMV model
KW - Default probability
KW - Credit risk
KW - CREDIT RISK MODELS
KW - VALUATION
U2 - WOS:00038058210007
DO - WOS:00038058210007
M3 - Conference contribution
SN - 978-1-61275-072-9
T3 - Advances in Education Research
SP - 411
EP - 416
BT - 5TH INTERNATIONAL CONFERENCE ON APPLIED SOCIAL SCIENCE (ICASS 2015), PT 2
PB - INFORMATION ENGINEERING RESEARCH INSTITUTE PRESS
T2 - 5th International Conference on Applied Social Science (ICASS 2015)
Y2 - 4 October 2015 through 5 October 2015
ER -
ID: 39055264