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This paper applies the maximum likelihood (ML) approaches to implementing the structural model of corporate bond, as suggested by Li and Wong (2008). Two structural models extended Merton and Longstaff & Schwartz (LS) models are used in determining these prices, yields, yield spreads and probabi...

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Main Author: SUARDI (NIM 20107011), LENNY
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/12329
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:12329
spelling id-itb.:123292017-09-27T14:41:46Z#TITLE_ALTERNATIVE# SUARDI (NIM 20107011), LENNY Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/12329 This paper applies the maximum likelihood (ML) approaches to implementing the structural model of corporate bond, as suggested by Li and Wong (2008). Two structural models extended Merton and Longstaff & Schwartz (LS) models are used in determining these prices, yields, yield spreads and probability of default by using equity, total liabilities and bond prices data. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This paper applies the maximum likelihood (ML) approaches to implementing the structural model of corporate bond, as suggested by Li and Wong (2008). Two structural models extended Merton and Longstaff & Schwartz (LS) models are used in determining these prices, yields, yield spreads and probability of default by using equity, total liabilities and bond prices data.
format Theses
author SUARDI (NIM 20107011), LENNY
spellingShingle SUARDI (NIM 20107011), LENNY
#TITLE_ALTERNATIVE#
author_facet SUARDI (NIM 20107011), LENNY
author_sort SUARDI (NIM 20107011), LENNY
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/12329
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