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Economic influences on plantation sector stock prices In malaysia: a quantile regression approach

This study aims to examine the relationship between microeconomic, sentiment, and macroeconomic variables across three quantiles (q25, q50, and q75) of stock prices in the Malaysian plantation sector. This study used Earnings per share (EPS) and return on equity (ROE) as the proxy for microeconomic...

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Main Authors: Wong Vui Ken, Saizal Pinjaman
Format: Article
Language:English
English
Published: Macrothink Institute 2024
Subjects:
HB1-3840 Economic theory. Demography
Q1-390 Science (General)
Online Access:https://eprints.ums.edu.my/id/eprint/41962/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41962/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41962/
https://doi.org/10.5296/ber.v14i4.22099
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spelling my.ums.eprints.419622024-11-20T04:23:39Z https://eprints.ums.edu.my/id/eprint/41962/ Economic influences on plantation sector stock prices In malaysia: a quantile regression approach Wong Vui Ken Saizal Pinjaman HB1-3840 Economic theory. Demography Q1-390 Science (General) This study aims to examine the relationship between microeconomic, sentiment, and macroeconomic variables across three quantiles (q25, q50, and q75) of stock prices in the Malaysian plantation sector. This study used Earnings per share (EPS) and return on equity (ROE) as the proxy for microeconomic variables, consumer sentiment index (CSI), and business condition index (BCI) as the proxy for sentiment variables, while inflation (INF which proxy from consumer price index) and exchange rate (ER, RM/USD) as the proxy for macroeconomic variables. Using a panel dataset covering 32 listed companies in plantation sector from 2008Q3 to 2023Q3. Result of quantile regression indicates that EPS, BCI, INF have a consistently positive and statistically significant relationship with stock prices across all quantiles. ROE has a mixed impact, with a positive relationship at the 25th and 50th quantile, but with a negative relationship at the 75th quantile. Furthermore, CSI and ER have a consistently negative and statistically significant relationship with stock prices across all quantiles. Macrothink Institute 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41962/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41962/2/FULL%20TEXT.pdf Wong Vui Ken and Saizal Pinjaman (2024) Economic influences on plantation sector stock prices In malaysia: a quantile regression approach. Business and Economic Research, 14 (4). pp. 1-14. ISSN 2162-4860 https://doi.org/10.5296/ber.v14i4.22099
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic HB1-3840 Economic theory. Demography
Q1-390 Science (General)
spellingShingle HB1-3840 Economic theory. Demography
Q1-390 Science (General)
Wong Vui Ken
Saizal Pinjaman
Economic influences on plantation sector stock prices In malaysia: a quantile regression approach
description This study aims to examine the relationship between microeconomic, sentiment, and macroeconomic variables across three quantiles (q25, q50, and q75) of stock prices in the Malaysian plantation sector. This study used Earnings per share (EPS) and return on equity (ROE) as the proxy for microeconomic variables, consumer sentiment index (CSI), and business condition index (BCI) as the proxy for sentiment variables, while inflation (INF which proxy from consumer price index) and exchange rate (ER, RM/USD) as the proxy for macroeconomic variables. Using a panel dataset covering 32 listed companies in plantation sector from 2008Q3 to 2023Q3. Result of quantile regression indicates that EPS, BCI, INF have a consistently positive and statistically significant relationship with stock prices across all quantiles. ROE has a mixed impact, with a positive relationship at the 25th and 50th quantile, but with a negative relationship at the 75th quantile. Furthermore, CSI and ER have a consistently negative and statistically significant relationship with stock prices across all quantiles.
format Article
author Wong Vui Ken
Saizal Pinjaman
author_facet Wong Vui Ken
Saizal Pinjaman
author_sort Wong Vui Ken
title Economic influences on plantation sector stock prices In malaysia: a quantile regression approach
title_short Economic influences on plantation sector stock prices In malaysia: a quantile regression approach
title_full Economic influences on plantation sector stock prices In malaysia: a quantile regression approach
title_fullStr Economic influences on plantation sector stock prices In malaysia: a quantile regression approach
title_full_unstemmed Economic influences on plantation sector stock prices In malaysia: a quantile regression approach
title_sort economic influences on plantation sector stock prices in malaysia: a quantile regression approach
publisher Macrothink Institute
publishDate 2024
url https://eprints.ums.edu.my/id/eprint/41962/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41962/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41962/
https://doi.org/10.5296/ber.v14i4.22099
_version_ 1817843831506206720
score 13.223943

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