Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countries

This paper finds that in ASEAN-4, the micro loan characteristics: loan amount and LIBOR whilst the macro characteristics: inflation, net export and GDP growth influence the loan spread in the project finance. However, simultaneously at the country level, the determinants of the loan spread...

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Main Authors: Nasution, Elvi, Sugiarto, Sugiarto, Shinta S, Gracia, Ugut, Ugut, Hulu, Edison
Format: Article
Language:English
Published: Growing Science 2021-01-01
Series:Accounting
Online Access:http://www.growingscience.com/ac/Vol7/ac_2021_69.pdf
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spelling doaj-df9e9db690c44c198f3d4a290240d7042021-04-17T13:12:28ZengGrowing ScienceAccounting2369-73932369-74072021-01-01761507152010.5267/j.ac.2021.3.013Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countriesNasution, ElviSugiarto, SugiartoShinta S, GraciaUgut, UgutHulu, Edison This paper finds that in ASEAN-4, the micro loan characteristics: loan amount and LIBOR whilst the macro characteristics: inflation, net export and GDP growth influence the loan spread in the project finance. However, simultaneously at the country level, the determinants of the loan spread are distinctive to each country’s infrastructure industry characteristic. The paper’s main contribution relates to the determinants of the project finance loan spread at the country level and regional level, ASEAN-4. The purpose of this paper is to fathom the critical risk factors behind the project finance loan pricing differential across the ASEAN-4 countries. Hence, the policy makers, project developers and lenders can have a better understanding of the drivers behind the project finance loan spread pricing. The study adopted an ordinary least square (OLS) regression methodology and collected data from ASEAN-4 countries consisting of Indonesia, Malaysia, Philippines, and Thailand.http://www.growingscience.com/ac/Vol7/ac_2021_69.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Nasution, Elvi
Sugiarto, Sugiarto
Shinta S, Gracia
Ugut, Ugut
Hulu, Edison
spellingShingle Nasution, Elvi
Sugiarto, Sugiarto
Shinta S, Gracia
Ugut, Ugut
Hulu, Edison
Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countries
Accounting
author_facet Nasution, Elvi
Sugiarto, Sugiarto
Shinta S, Gracia
Ugut, Ugut
Hulu, Edison
author_sort Nasution, Elvi
title Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countries
title_short Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countries
title_full Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countries
title_fullStr Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countries
title_full_unstemmed Critical risk factors of the project finance loan spread in the infrastructure sector: Experience from the ASEAN countries
title_sort critical risk factors of the project finance loan spread in the infrastructure sector: experience from the asean countries
publisher Growing Science
series Accounting
issn 2369-7393
2369-7407
publishDate 2021-01-01
description This paper finds that in ASEAN-4, the micro loan characteristics: loan amount and LIBOR whilst the macro characteristics: inflation, net export and GDP growth influence the loan spread in the project finance. However, simultaneously at the country level, the determinants of the loan spread are distinctive to each country’s infrastructure industry characteristic. The paper’s main contribution relates to the determinants of the project finance loan spread at the country level and regional level, ASEAN-4. The purpose of this paper is to fathom the critical risk factors behind the project finance loan pricing differential across the ASEAN-4 countries. Hence, the policy makers, project developers and lenders can have a better understanding of the drivers behind the project finance loan spread pricing. The study adopted an ordinary least square (OLS) regression methodology and collected data from ASEAN-4 countries consisting of Indonesia, Malaysia, Philippines, and Thailand.
url http://www.growingscience.com/ac/Vol7/ac_2021_69.pdf
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