Correlation Between Cref Inflation and Nasdaq-100(r)
Can any of the company-specific risk be diversified away by investing in both Cref Inflation and Nasdaq-100(r) 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 Cref Inflation and Nasdaq-100(r) into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cref Inflation Linked Bond and Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Cref Inflation and Nasdaq-100(r) 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 Cref Inflation with a short position of Nasdaq-100(r). Check out your portfolio center. Please also check ongoing floating volatility patterns of Cref Inflation and Nasdaq-100(r).
Diversification Opportunities for Cref Inflation and Nasdaq-100(r)
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Cref and Nasdaq-100(r) is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Cref Inflation Linked Bond and Nasdaq 100 2x Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 2x and Cref Inflation 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 Cref Inflation Linked Bond are associated (or correlated) with Nasdaq-100(r). 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 2x has no effect on the direction of Cref Inflation i.e., Cref Inflation and Nasdaq-100(r) go up and down completely randomly.
Pair Corralation between Cref Inflation and Nasdaq-100(r)
Assuming the 90 days trading horizon Cref Inflation is expected to generate 9.21 times less return on investment than Nasdaq-100(r). But when comparing it to its historical volatility, Cref Inflation Linked Bond is 8.72 times less risky than Nasdaq-100(r). It trades about 0.22 of its potential returns per unit of risk. Nasdaq 100 2x Strategy is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 36,537 in Nasdaq 100 2x Strategy on May 21, 2025 and sell it today you would earn a total of 8,810 from holding Nasdaq 100 2x Strategy or generate 24.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cref Inflation Linked Bond vs. Nasdaq 100 2x Strategy
Performance |
Timeline |
Cref Inflation Linked |
Nasdaq 100 2x |
Cref Inflation and Nasdaq-100(r) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cref Inflation and Nasdaq-100(r)
The main advantage of trading using opposite Cref Inflation and Nasdaq-100(r) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cref Inflation position performs unexpectedly, Nasdaq-100(r) 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(r) will offset losses from the drop in Nasdaq-100(r)'s long position.Cref Inflation vs. John Hancock Municipal | Cref Inflation vs. Old Westbury Municipal | Cref Inflation vs. Ab Municipal Bond | Cref Inflation vs. Aig Government Money |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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