Which analysis focuses more on financial data and risk measurement?

Quantitative analysis is the correct choice because it emphasizes the use of numerical data to understand risks and make decisions regarding financial implications. This form of analysis employs statistical methods, models, and metrics to measure risk, assess potential losses, and evaluate financial performance. It often involves calculating probabilities and employing quantitative metrics, such as value at risk (VaR), standard deviation, and correlation, to provide a clear, data-driven perspective on risk.

Qualitative analysis, on the other hand, deals with non-numerical data and focuses on subjective judgments, opinions, and the underlying motivations or environmental factors influencing risks. Comparative analysis looks at the similarities and differences between various entities or scenarios but does not primarily measure financial data. Causal analysis is concerned with identifying and examining the cause-and-effect relationships between different variables, which may not directly involve numerical financial data. Thus, quantitative analysis stands out as the method specifically oriented towards financial data and risk measurement.