Correlation Between BetaPro NASDAQ and BMO Global
Can any of the company-specific risk be diversified away by investing in both BetaPro NASDAQ and BMO Global 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 BMO Global 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 BMO Global High, you can compare the effects of market volatilities on BetaPro NASDAQ and BMO Global 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 BMO Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of BetaPro NASDAQ and BMO Global.
Diversification Opportunities for BetaPro NASDAQ and BMO Global
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BetaPro and BMO is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding BetaPro NASDAQ 100 2x and BMO Global High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Global High 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 BMO Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Global High has no effect on the direction of BetaPro NASDAQ i.e., BetaPro NASDAQ and BMO Global go up and down completely randomly.
Pair Corralation between BetaPro NASDAQ and BMO Global
Assuming the 90 days trading horizon BetaPro NASDAQ 100 2x is expected to generate 3.74 times more return on investment than BMO Global. However, BetaPro NASDAQ is 3.74 times more volatile than BMO Global High. It trades about 0.09 of its potential returns per unit of risk. BMO Global High is currently generating about 0.12 per unit of risk. If you would invest 973.00 in BetaPro NASDAQ 100 2x on October 25, 2024 and sell it today you would earn a total of 32.00 from holding BetaPro NASDAQ 100 2x or generate 3.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
BetaPro NASDAQ 100 2x vs. BMO Global High
Performance |
| Timeline |
| BetaPro NASDAQ 100 |
| BMO Global High |
BetaPro NASDAQ and BMO Global Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BetaPro NASDAQ and BMO Global
The main advantage of trading using opposite BetaPro NASDAQ and BMO Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BetaPro NASDAQ position performs unexpectedly, BMO Global 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 BMO Global will offset losses from the drop in BMO Global'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 |
| BMO Global vs. BMO Short Term Bond | BMO Global vs. BMO Canadian Bank | BMO Global vs. BMO Aggregate Bond | BMO Global vs. BMO Balanced ETF |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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