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The Effects of Environmental Regulation on the Singapore Stock Market

journal contribution
posted on 2024-11-02, 11:23 authored by Huy PhamHuy Pham, Van Nguyen, Vikash Ramiah, Priyantha Mudalige, Imad Moosa
This study examines the impact of environmental regulation on the Singapore stock market using the event study methodology. Several asset pricing models are used to estimate sectoral abnormal returns. Additionally, we estimate the change in systematic risk after the introduction of the carbon tax and related regulation. We conduct various robustness tests, including the Corrado non-parametric ranking test, the Chesney non-parametric conditional distribution approach, a representation of market integration, and Fama–French five-factor model. We find evidence showing that the environmental regulations tend to achieve their desired effects in Singapore in which several big polluters (including industrial metals and mining, forestry and papers, and electrical equipment and services) were negatively affected by the announcements of environmental regulations and carbon tax. In addition, our results indicate that the electricity sector, one of the biggest polluters, was negatively affected by the announcement of environmental regulations and carbon tax. We also find that environmental regulations seem to boost the performance of environmentally-friendly sectors whereby we find the alternative energy industry (focusing on new renewable energy technologies) experienced a sizeable positive reaction following the announcements of these regulations.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/jrfm12040175
  2. 2.
    ISSN - Is published in 19118074

Journal

Journal of Risk and Financial Management

Volume

12

Number

175

Issue

4

Start page

1

End page

19

Total pages

19

Publisher

M D P I AG

Place published

Switzerland

Language

English

Copyright

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Former Identifier

2006095814

Esploro creation date

2020-06-22

Fedora creation date

2019-12-18

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