Correlation Between BetaPro SPTSX and Bitcoin ETF
Can any of the company-specific risk be diversified away by investing in both BetaPro SPTSX and Bitcoin ETF 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 SPTSX and Bitcoin ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BetaPro SPTSX Capped and Bitcoin ETF CAD, you can compare the effects of market volatilities on BetaPro SPTSX and Bitcoin ETF 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 SPTSX with a short position of Bitcoin ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of BetaPro SPTSX and Bitcoin ETF.
Diversification Opportunities for BetaPro SPTSX and Bitcoin ETF
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BetaPro and Bitcoin is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding BetaPro SPTSX Capped and Bitcoin ETF CAD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin ETF CAD and BetaPro SPTSX 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 SPTSX Capped are associated (or correlated) with Bitcoin ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin ETF CAD has no effect on the direction of BetaPro SPTSX i.e., BetaPro SPTSX and Bitcoin ETF go up and down completely randomly.
Pair Corralation between BetaPro SPTSX and Bitcoin ETF
Assuming the 90 days trading horizon BetaPro SPTSX Capped is expected to under-perform the Bitcoin ETF. In addition to that, BetaPro SPTSX is 1.27 times more volatile than Bitcoin ETF CAD. It trades about -0.15 of its total potential returns per unit of risk. Bitcoin ETF CAD is currently generating about 0.23 per unit of volatility. If you would invest 4,295 in Bitcoin ETF CAD on April 21, 2025 and sell it today you would earn a total of 1,413 from holding Bitcoin ETF CAD or generate 32.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
BetaPro SPTSX Capped vs. Bitcoin ETF CAD
Performance |
Timeline |
BetaPro SPTSX Capped |
Bitcoin ETF CAD |
BetaPro SPTSX and Bitcoin ETF Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BetaPro SPTSX and Bitcoin ETF
The main advantage of trading using opposite BetaPro SPTSX and Bitcoin ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BetaPro SPTSX position performs unexpectedly, Bitcoin ETF 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 Bitcoin ETF will offset losses from the drop in Bitcoin ETF's long position.BetaPro SPTSX vs. BetaPro NASDAQ 100 2x | BetaPro SPTSX vs. BetaPro Canadian Gold | BetaPro SPTSX vs. BetaPro SP 500 | BetaPro SPTSX vs. BetaPro Crude Oil |
Bitcoin ETF vs. Bitcoin ETF | Bitcoin ETF vs. NBI High Yield | Bitcoin ETF vs. NBI Unconstrained Fixed | Bitcoin ETF vs. Mackenzie Developed ex North |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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