Correlation Between BetaPro NASDAQ and First Trust
Can any of the company-specific risk be diversified away by investing in both BetaPro NASDAQ and First Trust 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 BetaPro NASDAQ and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BetaPro NASDAQ 100 2x and First Trust Indxx, you can compare the effects of market volatilities on BetaPro NASDAQ and First Trust 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 BetaPro NASDAQ with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of BetaPro NASDAQ and First Trust.
Diversification Opportunities for BetaPro NASDAQ and First Trust
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BetaPro and First is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding BetaPro NASDAQ 100 2x and First Trust Indxx in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Indxx and BetaPro NASDAQ 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 BetaPro NASDAQ 100 2x are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Indxx has no effect on the direction of BetaPro NASDAQ i.e., BetaPro NASDAQ and First Trust go up and down completely randomly.
Pair Corralation between BetaPro NASDAQ and First Trust
Assuming the 90 days trading horizon BetaPro NASDAQ 100 2x is expected to under-perform the First Trust. In addition to that, BetaPro NASDAQ is 5.84 times more volatile than First Trust Indxx. It trades about -0.16 of its total potential returns per unit of risk. First Trust Indxx is currently generating about 0.16 per unit of volatility. If you would invest 1,114 in First Trust Indxx on September 4, 2024 and sell it today you would earn a total of 39.00 from holding First Trust Indxx or generate 3.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
BetaPro NASDAQ 100 2x vs. First Trust Indxx
Performance |
Timeline |
BetaPro NASDAQ 100 |
First Trust Indxx |
BetaPro NASDAQ and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BetaPro NASDAQ and First Trust
The main advantage of trading using opposite BetaPro NASDAQ and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BetaPro NASDAQ position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.BetaPro NASDAQ vs. BetaPro SP 500 | BetaPro NASDAQ vs. BetaPro NASDAQ 100 2x | BetaPro NASDAQ vs. BetaPro SP 500 | BetaPro NASDAQ vs. BetaPro SPTSX 60 |
First Trust vs. International Zeolite Corp | First Trust vs. European Residential Real | First Trust vs. Financial 15 Split | First Trust vs. Rubicon Organics |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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