Correlation Between Biotechnology Fund and Nasdaq 100
Can any of the company-specific risk be diversified away by investing in both Biotechnology Fund and Nasdaq 100 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 Biotechnology Fund and Nasdaq 100 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Biotechnology Fund Class and Nasdaq 100 Fund Class, you can compare the effects of market volatilities on Biotechnology Fund and Nasdaq 100 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 Biotechnology Fund with a short position of Nasdaq 100. Check out your portfolio center. Please also check ongoing floating volatility patterns of Biotechnology Fund and Nasdaq 100.
Diversification Opportunities for Biotechnology Fund and Nasdaq 100
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Biotechnology and Nasdaq is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Biotechnology Fund Class and Nasdaq 100 Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 Fund and Biotechnology Fund 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 Biotechnology Fund Class are associated (or correlated) with Nasdaq 100. 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 Fund has no effect on the direction of Biotechnology Fund i.e., Biotechnology Fund and Nasdaq 100 go up and down completely randomly.
Pair Corralation between Biotechnology Fund and Nasdaq 100
Assuming the 90 days horizon Biotechnology Fund Class is expected to generate 0.97 times more return on investment than Nasdaq 100. However, Biotechnology Fund Class is 1.03 times less risky than Nasdaq 100. It trades about 0.19 of its potential returns per unit of risk. Nasdaq 100 Fund Class is currently generating about 0.09 per unit of risk. If you would invest 4,131 in Biotechnology Fund Class on November 9, 2024 and sell it today you would earn a total of 178.00 from holding Biotechnology Fund Class or generate 4.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Biotechnology Fund Class vs. Nasdaq 100 Fund Class
Performance |
Timeline |
Biotechnology Fund Class |
Nasdaq 100 Fund |
Biotechnology Fund and Nasdaq 100 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Biotechnology Fund and Nasdaq 100
The main advantage of trading using opposite Biotechnology Fund and Nasdaq 100 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Biotechnology Fund position performs unexpectedly, Nasdaq 100 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 will offset losses from the drop in Nasdaq 100's long position.Biotechnology Fund vs. Transamerica Mlp Energy | Biotechnology Fund vs. Franklin Natural Resources | Biotechnology Fund vs. Alpsalerian Energy Infrastructure | Biotechnology Fund vs. Short Oil Gas |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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