Correlation Between BetaPro Equal and IShares JP
Can any of the company-specific risk be diversified away by investing in both BetaPro Equal and IShares JP 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 Equal and IShares JP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BetaPro Equal Weight and iShares JP Morgan, you can compare the effects of market volatilities on BetaPro Equal and IShares JP 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 Equal with a short position of IShares JP. Check out your portfolio center. Please also check ongoing floating volatility patterns of BetaPro Equal and IShares JP.
Diversification Opportunities for BetaPro Equal and IShares JP
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between BetaPro and IShares is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding BetaPro Equal Weight and iShares JP Morgan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares JP Morgan and BetaPro Equal 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 Equal Weight are associated (or correlated) with IShares JP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares JP Morgan has no effect on the direction of BetaPro Equal i.e., BetaPro Equal and IShares JP go up and down completely randomly.
Pair Corralation between BetaPro Equal and IShares JP
Assuming the 90 days trading horizon BetaPro Equal Weight is expected to generate 5.79 times more return on investment than IShares JP. However, BetaPro Equal is 5.79 times more volatile than iShares JP Morgan. It trades about 0.05 of its potential returns per unit of risk. iShares JP Morgan is currently generating about 0.07 per unit of risk. If you would invest 1,490 in BetaPro Equal Weight on October 21, 2024 and sell it today you would earn a total of 18.00 from holding BetaPro Equal Weight or generate 1.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
BetaPro Equal Weight vs. iShares JP Morgan
Performance |
| Timeline |
| BetaPro Equal Weight |
| iShares JP Morgan |
BetaPro Equal and IShares JP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BetaPro Equal and IShares JP
The main advantage of trading using opposite BetaPro Equal and IShares JP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BetaPro Equal position performs unexpectedly, IShares JP 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 IShares JP will offset losses from the drop in IShares JP's long position.| BetaPro Equal vs. BetaPro NASDAQ 100 2x | BetaPro Equal vs. BetaPro Canadian Gold | BetaPro Equal vs. BetaPro SP 500 | BetaPro Equal vs. BetaPro Crude Oil |
| IShares JP vs. iShares IG Corporate | IShares JP vs. iShares 1 10Yr Laddered | IShares JP vs. iShares Floating Rate | IShares JP vs. iShares Convertible Bond |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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