Need to work on the analysis and empirical model results for banks on a global basis with respect to ESG, chapter 4 of the disertation. THE YEARS FOR CALCULATION PURPOSES WILL BE 2017 TO 2022. I have attached my disertation, and we are at chapter 4.
-This will involve the use of Bloomberg/WDI for data collection-see below. I have also attached Azmi’s article which I am basing my thesis on (but on a global level)
-this will also involve regression.
Tobin’s Q Book value of total assets minus the book value of common equity plus market value of common equity / book
value of total assets
Bloomberg
value of total assets
Bloomberg
Return on assets
(ROA)
Net profit/total assets Bloomberg
(ROA)
Net profit/total assets Bloomberg
Cost of capital Weighted average cost of capital Bloomberg
Cost of equity Based on CAPM Bloomberg
Cost of debt (Interest payments/total interest bearing debt) (1-marginal tax) Bloomberg
Cash flow Net income before extraordinary item plus depreciation and amortization expenses plus R&D expenses/total
assets.
Bloomberg
assets.
Bloomberg
Net interest margin Net interest income/average earning assets Bloomberg
Independent
Focus variables
ESG Composite score based on several ESG parameters Bloomberg
Focus variables
ESG Composite score based on several ESG parameters Bloomberg
E Score based on several environmental parameters Bloomberg
S Score based on several social parameters Bloomberg
G Score based on several governance parameters Bloomberg
Control variables
Bank level
variables
Size Total assets Bloomberg
variables
Size Total assets Bloomberg
Capitalization Total equity/total assets Bloomberg
Liquidity Total deposit/total assets Bloomberg
Efficiency Cost/total income Bloomberg
Asset quality Non-performing loans/total loans Bloomberg
Country-level
variables
GDP growth Percentage change in GDP WDI
variables
GDP growth Percentage change in GDP WDI
Financial
development
Domestic credit to private sector (% of GDP) WDI
development
Domestic credit to private sector (% of GDP) WDI
There is more to this but let me know.