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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Air Pollution, Regulations On Emission And Firms' Social Responsibility, Jun Myung Song
Air Pollution, Regulations On Emission And Firms' Social Responsibility, Jun Myung Song
Sim Kee Boon Institute for Financial Economics
This paper examines whether firms adjust their strategy in emission when air pollution is severe. Considering high PM 2.5 as severe air pollution across 65 countries, I show that firms from countries with severe air pollution have low emission score, suggesting that they put less effort in reducing emission. This is because if they improve emission strategy, firm performance deteriorates. However, such relationship disappears when the government’s environmental stringency is strong, suggesting that government’s intervention is crucial for sustainable environment. This paper concludes with analysis on the factors which can mediate the negative impact of air pollution on firms’ emission …
Downscaling Of Physical Risks For Climate Scenario Design, Enrico Biffis, Shuai Wang
Downscaling Of Physical Risks For Climate Scenario Design, Enrico Biffis, Shuai Wang
Sim Kee Boon Institute for Financial Economics
Southeast Asia is arguably one of the areas most vulnerable to natural disasters due to its dense population, coastal urbanization, and rainfall variability driven by the local monsoon systems. In this report, we focus on the impact of global warming in the region along four climate dimensions: temperature, precipitation, wind speed and coastal surge. The latter represents the surge of water from the ocean in excess of astronomical tides. Our objective is to downscale the outputs of global climate models to temporal and spatial resolutions of interest to market participants wishing to quantify climate risk vulnerability via climate stress testing …
An Ai Approach To Measuring Financial Risk, Lining Yu, Wolfgang Karl Hardle, Lukas Borke, Thijs Benschop
An Ai Approach To Measuring Financial Risk, Lining Yu, Wolfgang Karl Hardle, Lukas Borke, Thijs Benschop
Sim Kee Boon Institute for Financial Economics
AI artificial intelligence brings about new quantitative techniques to assess the state of an economy. Here, we describe a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter (λ" role="presentation" style="box-sizing: border-box; display: inline; font-style: normal; font-weight: normal; line-height: normal; font-size: 18px; text-indent: 0px; text-align: left; text-transform: none; letter-spacing: normal; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;">λλ) of a linear quantile lasso regression. The FRM is calculated by taking the average …