The bi-directional causality between financial variables and business cycle

Our paper aims to document how macroeconomic conditions and financial variables can influence and affect each other. In the first part of our paper, we study how the business cycle affects various financial variables; in particular how firms’ debt and equity issuance changes over the business cycle....

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Main Authors: Lim, Guan Wei, Pua, Robin Suan Jin, Tee, Guang Ying
Other Authors: Wu Guiying Laura
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/69738
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-697382019-12-10T11:29:14Z The bi-directional causality between financial variables and business cycle Lim, Guan Wei Pua, Robin Suan Jin Tee, Guang Ying Wu Guiying Laura School of Humanities and Social Sciences DRNTU::Social sciences::Economic theory Our paper aims to document how macroeconomic conditions and financial variables can influence and affect each other. In the first part of our paper, we study how the business cycle affects various financial variables; in particular how firms’ debt and equity issuance changes over the business cycle. We find that both debt and equity issuance are pro-cyclical for small firms. For large firms, debt issuance is pro-cyclical whereas equity issuance of large firms may be weakly pro-cyclical or counter-cyclical depending on which definition of net equity issuance is used. This suggests that large firms may be able to substitute between different financing methods during different phases of the business cycle. In the second part of our paper, we reversed our direction to study how various financial variables affect the business cycle; in particular the feasibility of predicting business cycles using financial variables. We find that in both Probit and Logit model, change in capital expenditure in property, plant and equipment has statistical significant effect on the probability of recession occurrence. Although the impact is about 0.2% increase in probability of recession for every 1% increase in change in capital expenditure in property, plant and equipment, our model is able to classify 75.16% of the data correctly. Bachelor of Arts 2017-03-24T07:35:41Z 2017-03-24T07:35:41Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/69738 en Nanyang Technological University 55 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Social sciences::Economic theory
spellingShingle DRNTU::Social sciences::Economic theory
Lim, Guan Wei
Pua, Robin Suan Jin
Tee, Guang Ying
The bi-directional causality between financial variables and business cycle
description Our paper aims to document how macroeconomic conditions and financial variables can influence and affect each other. In the first part of our paper, we study how the business cycle affects various financial variables; in particular how firms’ debt and equity issuance changes over the business cycle. We find that both debt and equity issuance are pro-cyclical for small firms. For large firms, debt issuance is pro-cyclical whereas equity issuance of large firms may be weakly pro-cyclical or counter-cyclical depending on which definition of net equity issuance is used. This suggests that large firms may be able to substitute between different financing methods during different phases of the business cycle. In the second part of our paper, we reversed our direction to study how various financial variables affect the business cycle; in particular the feasibility of predicting business cycles using financial variables. We find that in both Probit and Logit model, change in capital expenditure in property, plant and equipment has statistical significant effect on the probability of recession occurrence. Although the impact is about 0.2% increase in probability of recession for every 1% increase in change in capital expenditure in property, plant and equipment, our model is able to classify 75.16% of the data correctly.
author2 Wu Guiying Laura
author_facet Wu Guiying Laura
Lim, Guan Wei
Pua, Robin Suan Jin
Tee, Guang Ying
format Final Year Project
author Lim, Guan Wei
Pua, Robin Suan Jin
Tee, Guang Ying
author_sort Lim, Guan Wei
title The bi-directional causality between financial variables and business cycle
title_short The bi-directional causality between financial variables and business cycle
title_full The bi-directional causality between financial variables and business cycle
title_fullStr The bi-directional causality between financial variables and business cycle
title_full_unstemmed The bi-directional causality between financial variables and business cycle
title_sort bi-directional causality between financial variables and business cycle
publishDate 2017
url http://hdl.handle.net/10356/69738
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