Correlation Between Lsv Small and Power Dividend
Can any of the company-specific risk be diversified away by investing in both Lsv Small and Power Dividend at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Lsv Small and Power Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lsv Small Cap and Power Dividend Index, you can compare the effects of market volatilities on Lsv Small and Power Dividend and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Lsv Small with a short position of Power Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lsv Small and Power Dividend.
Diversification Opportunities for Lsv Small and Power Dividend
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lsv and Power is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Lsv Small Cap and Power Dividend Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Dividend Index and Lsv Small is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Lsv Small Cap are associated (or correlated) with Power Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Dividend Index has no effect on the direction of Lsv Small i.e., Lsv Small and Power Dividend go up and down completely randomly.
Pair Corralation between Lsv Small and Power Dividend
Assuming the 90 days horizon Lsv Small is expected to generate 3.74 times less return on investment than Power Dividend. In addition to that, Lsv Small is 1.39 times more volatile than Power Dividend Index. It trades about 0.01 of its total potential returns per unit of risk. Power Dividend Index is currently generating about 0.06 per unit of volatility. If you would invest 1,027 in Power Dividend Index on September 1, 2025 and sell it today you would earn a total of 28.00 from holding Power Dividend Index or generate 2.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lsv Small Cap vs. Power Dividend Index
Performance |
| Timeline |
| Lsv Small Cap |
| Power Dividend Index |
Lsv Small and Power Dividend Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lsv Small and Power Dividend
The main advantage of trading using opposite Lsv Small and Power Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lsv Small position performs unexpectedly, Power Dividend can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Power Dividend will offset losses from the drop in Power Dividend's long position.| Lsv Small vs. Pimco Diversified Income | Lsv Small vs. Stone Ridge Diversified | Lsv Small vs. Massmutual Premier Diversified | Lsv Small vs. Diversified Bond Fund |
| Power Dividend vs. Abbey Capital Futures | Power Dividend vs. Western Asset Inflation | Power Dividend vs. Altegris Futures Evolution | Power Dividend vs. Goldman Sachs Managed |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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