R-squared values range from 0 to 1, indicating the fit and explanatory power of a regression model. Values below 0.3 suggest weak explanatory power; above 0.7 indicate strong relationships. In finance ...

Detecting dependence between two random variables is a fundamental problem. Although the Pearson correlation coefficient is effective for capturing linear dependence, it can be entirely powerless for ...

If you ever need to check whether a fund's benchmark is what the fund house claims it to be, then you look up R-Squared. It is a statistical tool that can measure--in 0 to 100 bps--how well a scheme ...

If you ever need to check whether a fund's benchmark is what the fund house claims it to be, then you look up R-Squared. It is a statistical tool that can measure--in 0 to 100 bps--how well a scheme ...