The primary purpose of this agreement includes promises from all countries to reduce their emissions and work together to adapt to the impacts of climate change. This agreement provides a robust pathway leading the global effort to achieve sustainable development goals and shift toward a net-zero emissions world. In Paris, held in December 2015, the Paris climate agreement or COP21, started on 4 November 2016, with 195 countries signing it, and 190 approved it as of January 2021, as mentioned by the United Nations Framework Convention on Climate Change (UNFCCC). IntroductionĬlimate change is an emergency beyond national borders it is a worldwide situation where only collaboration between countries can solve it. The results indicated an effect between changing TASI and the three pollutants, PM10, AQI, and O 3. The prediction models showed that the CHAID model performed better than CR-Tree because it used only three indices, namely, PM10, AQI, and O 3, with year and month. The test dataset showed that R 2 scores are 0.995 and 0.986 for CR-Tree and CHAID, respectively, with RMSE values of 387 and 227 for CR-Tree and CHAID, respectively. The linear regression model results found that PM10, NO 2, CO, month, day, and year are significant, whereas O 3, SO 2, and AQI indices are insignificant. ![]() In order to test the performance of two prediction models, R 2 and various error functions are used. In order to achieve the target of this research, the TASI dataset relates to six pollutants using time afterward, the new dataset is divided into three parts-test, validate, and train-after eliminating the outlier data. Based on tree models, the relationship is created using linear regression and two prediction models, Chi-square Automatic Interaction Detection (CHAID), and CR-Tree. ![]() This study aims to find a relationship between Saudi Tadawul All Share Index (TASI) and multiple pollutants, including particulate matter (PM10), ozone (O 3), nitrogen dioxide (NO 2), sulfur dioxide (SO 2), carbon monoxide (CO), and AQI. Many investigators study the effect of stock prices and air quality in the field to show if there is a relationship between changing the stock market and the concentration of various pollutants. The air quality index (AQI) can be described using different pollutant indices.
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