Cluster 1 Cluster 2 Cluster 3 Cluster 4 Provident fundsMutual fundsInsurance 3.9 9.4 11.6 24.0 Insurance Provident funds Insurance Primary vehicle Mutual funds Retirement saving adequacy 11% 18% 28% % of
N/A N/A 746,100 KPI 3 2019 (Baseline) 41% 97% 100% N/A Table 2–VE’s assessment of CHANEL’s SPTs Level of ambition4 KPI 1 ROBUST KPI 2 ROBUST KPI 3 ROBUST 1 This opinion is to be considered as the
Oster’s (2019) testing for coefficient stability. Our results survive all the robustness checks and thus appear to be strongly robust. Therefore, our results likely reflect a causal effect, rather than a
carbon, etc. To ensure consistency and credibility for those wishing to issue or invest with confidence in credible green bonds linked to bioenergy, it is therefore necessary to determine robust and 5
Electricity Authority 326 employees 8. Ministry of Commerce 307 employees Analysis Using Cluster Analysis for clustering Thai investor based on their behavior or Proportions of their money allocated to each
of fixed effects may influence the results. I therefore add industry fixed effects. 16 Third, unlike Barth et al. (1999), I cluster standard errors by firm and year in order to mitigate the effects of
, decades. Investing in innovation and future production, developing talent and ensuring robust supply chains are among the many environmental, social and governance (ESG)- related management actions that
association between Thai investor cluster membership and their financial literacy. Thai investor clusters differ considerably in their financial literacy such that modern investors tend to possess financial
set robust environmental standards for the market. • As many of you know, IFC is at the forefront of creating green financing markets in Asia, including Thailand. Through our recent sustainable
• A related strand of research focuses on price clusters. • Many studies have found that the stock prices tend to cluster around particular numbers (e.g. Harris (1991), Aitken et al. (1996), Brown et al