Testing Capital-Structure and Solvency Factors with Portfolio and IC Analysis
Summary
This report summary describes a study of capital-structure and solvency factors. It says nine capital-structure measures were assessed using grouped portfolio returns, long-short rankings, information coefficients, and Fama–MacBeth analysis. Four ratios were reported to show notable effects: current assets to total assets, non-current assets to total assets, current liabilities to total liabilities, and non-current liabilities to total liabilities. The two asset ratios were highly correlated with each other, as were the two liability ratios, while correlations between the asset and liability groups were weaker.
The summary reports weaker evidence for solvency measures. Among sixteen factors, EBITDA relative to total liabilities had comparatively favorable performance, but its information-coefficient and Fama–MacBeth results were not clear; most other solvency measures were described as ineffective. That factor was said to have low correlation with the others except one. The underlying report is not included in the supplied text, so sample construction, market, period, definitions, statistical significance, and robustness checks cannot be assessed from this summary alone.
Key ideas
- The report summary evaluates capital-structure factors with grouped returns, long-short rankings, IC, and Fama–MacBeth analysis.
- Four asset and liability ratios are reported to have notable effects.
- The two asset ratios and the two liability ratios are each highly correlated within their pairs.
- Most of the sixteen solvency factors are described as weak, while EBITDA relative to liabilities has mixed evidence.
- The supplied summary omits the underlying data, sample period, and robustness details.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.