Correlation Between Nasdaq-100(r) and Lsv Us
Can any of the company-specific risk be diversified away by investing in both Nasdaq-100(r) and Lsv Us 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 Nasdaq-100(r) and Lsv Us into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq 100 2x Strategy and Lsv Managed Volatility, you can compare the effects of market volatilities on Nasdaq-100(r) and Lsv Us 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 Nasdaq-100(r) with a short position of Lsv Us. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq-100(r) and Lsv Us.
Diversification Opportunities for Nasdaq-100(r) and Lsv Us
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Nasdaq-100(r) and Lsv is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq 100 2x Strategy and Lsv Managed Volatility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lsv Managed Volatility and Nasdaq-100(r) 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 Nasdaq 100 2x Strategy are associated (or correlated) with Lsv Us. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lsv Managed Volatility has no effect on the direction of Nasdaq-100(r) i.e., Nasdaq-100(r) and Lsv Us go up and down completely randomly.
Pair Corralation between Nasdaq-100(r) and Lsv Us
Assuming the 90 days horizon Nasdaq 100 2x Strategy is expected to generate 2.88 times more return on investment than Lsv Us. However, Nasdaq-100(r) is 2.88 times more volatile than Lsv Managed Volatility. It trades about 0.2 of its potential returns per unit of risk. Lsv Managed Volatility is currently generating about 0.34 per unit of risk. If you would invest 53,493 in Nasdaq 100 2x Strategy on September 2, 2024 and sell it today you would earn a total of 4,549 from holding Nasdaq 100 2x Strategy or generate 8.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Nasdaq 100 2x Strategy vs. Lsv Managed Volatility
Performance |
| Timeline |
| Nasdaq 100 2x |
| Lsv Managed Volatility |
Nasdaq-100(r) and Lsv Us Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Nasdaq-100(r) and Lsv Us
The main advantage of trading using opposite Nasdaq-100(r) and Lsv Us positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq-100(r) position performs unexpectedly, Lsv Us 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 Lsv Us will offset losses from the drop in Lsv Us' long position.| Nasdaq-100(r) vs. Sp 500 2x | Nasdaq-100(r) vs. Inverse Nasdaq 100 2x | Nasdaq-100(r) vs. Inverse Sp 500 | Nasdaq-100(r) vs. Ultra Nasdaq 100 Profunds |
| Lsv Us vs. Edgar Lomax Value | Lsv Us vs. Aqr Large Cap | Lsv Us vs. Cohen Steers Mlp | Lsv Us vs. Amg River Road |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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