Correlation Between Kinetics Small and Hunter Small
Can any of the company-specific risk be diversified away by investing in both Kinetics Small and Hunter Small 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 Kinetics Small and Hunter Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kinetics Small Cap and Hunter Small Cap, you can compare the effects of market volatilities on Kinetics Small and Hunter Small 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 Kinetics Small with a short position of Hunter Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinetics Small and Hunter Small.
Diversification Opportunities for Kinetics Small and Hunter Small
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kinetics and Hunter is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Kinetics Small Cap and Hunter Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hunter Small Cap and Kinetics 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 Kinetics Small Cap are associated (or correlated) with Hunter Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hunter Small Cap has no effect on the direction of Kinetics Small i.e., Kinetics Small and Hunter Small go up and down completely randomly.
Pair Corralation between Kinetics Small and Hunter Small
Assuming the 90 days horizon Kinetics Small Cap is expected to generate 2.27 times more return on investment than Hunter Small. However, Kinetics Small is 2.27 times more volatile than Hunter Small Cap. It trades about 0.11 of its potential returns per unit of risk. Hunter Small Cap is currently generating about 0.03 per unit of risk. If you would invest 15,649 in Kinetics Small Cap on October 31, 2024 and sell it today you would earn a total of 3,373 from holding Kinetics Small Cap or generate 21.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kinetics Small Cap vs. Hunter Small Cap
Performance |
| Timeline |
| Kinetics Small Cap |
| Hunter Small Cap |
Kinetics Small and Hunter Small Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kinetics Small and Hunter Small
The main advantage of trading using opposite Kinetics Small and Hunter Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinetics Small position performs unexpectedly, Hunter Small 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 Hunter Small will offset losses from the drop in Hunter Small's long position.| Kinetics Small vs. Alpine Ultra Short | Kinetics Small vs. Angel Oak Ultrashort | Kinetics Small vs. Touchstone Ultra Short | Kinetics Small vs. Blackrock Global Longshort |
| Hunter Small vs. Tiaa Cref High Yield Fund | Hunter Small vs. Siit High Yield | Hunter Small vs. Neuberger Berman Income | Hunter Small vs. Victory High Yield |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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