Correlation Between Kinetics Internet and Nasdaq-100 Index
Can any of the company-specific risk be diversified away by investing in both Kinetics Internet and Nasdaq-100 Index 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 Internet and Nasdaq-100 Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kinetics Internet Fund and Nasdaq 100 Index Fund, you can compare the effects of market volatilities on Kinetics Internet and Nasdaq-100 Index 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 Internet with a short position of Nasdaq-100 Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinetics Internet and Nasdaq-100 Index.
Diversification Opportunities for Kinetics Internet and Nasdaq-100 Index
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Kinetics and Nasdaq-100 is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Kinetics Internet Fund and Nasdaq 100 Index Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 Index and Kinetics Internet 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 Internet Fund are associated (or correlated) with Nasdaq-100 Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 Index has no effect on the direction of Kinetics Internet i.e., Kinetics Internet and Nasdaq-100 Index go up and down completely randomly.
Pair Corralation between Kinetics Internet and Nasdaq-100 Index
Assuming the 90 days horizon Kinetics Internet Fund is expected to under-perform the Nasdaq-100 Index. In addition to that, Kinetics Internet is 1.52 times more volatile than Nasdaq 100 Index Fund. It trades about -0.09 of its total potential returns per unit of risk. Nasdaq 100 Index Fund is currently generating about -0.01 per unit of volatility. If you would invest 3,924 in Nasdaq 100 Index Fund on December 2, 2024 and sell it today you would lose (51.00) from holding Nasdaq 100 Index Fund or give up 1.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kinetics Internet Fund vs. Nasdaq 100 Index Fund
Performance |
Timeline |
Kinetics Internet |
Nasdaq 100 Index |
Kinetics Internet and Nasdaq-100 Index Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kinetics Internet and Nasdaq-100 Index
The main advantage of trading using opposite Kinetics Internet and Nasdaq-100 Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinetics Internet position performs unexpectedly, Nasdaq-100 Index 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 Nasdaq-100 Index will offset losses from the drop in Nasdaq-100 Index's long position.Kinetics Internet vs. Buffalo High Yield | Kinetics Internet vs. High Yield Fund Investor | Kinetics Internet vs. Dunham High Yield | Kinetics Internet vs. City National Rochdale |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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