A data analysis of sales, profit, and discount trends using the Global Superstore dataset. Includes visualizations, statistical analysis, and business insights using R.

Lets look at how we can use R to automate the process of extracting relevant data from the Singapore capital allocation database.

Here I share the updated database of excess returns to equity and the firm for ~120 publicly traded Chilean companies across sectors. Starting with how the market is pricing risk (both country and equity risk premiums), and then moving on to the cost of equity at each debt ratio, and then estimated the interest coverage ratio, synthetic rating, and cost of debt, taking care to ensure that if the interest expenses exceed the operating income, tax benefits would be lost. These hurdle rates also represent benchmarks that businesses have to beat to create value. When we invest capital in risky businesses, we need to not just make money, but make enough to cover what we could have earned on investments of equivalent risk.

Here I share the updated database of excess returns to equity and the firm for ~124 publicly traded UAE companies companies across sectors. Starting with how the market is pricing risk (both country and equity risk premiums), and then moving on to the cost of equity at each debt ratio, and then estimated the interest coverage ratio, synthetic rating, and cost of debt, taking care to ensure that if the interest expenses exceed the operating income, tax benefits would be lost. These hurdle rates also represent benchmarks that businesses have to beat to create value. When we invest capital in risky businesses, we need to not just make money, but make enough to cover what we could have earned on investments of equivalent risk.