Correlation Between BetaPro SPTSX and Picton Mahoney
Can any of the company-specific risk be diversified away by investing in both BetaPro SPTSX and Picton Mahoney 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 Picton Mahoney into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BetaPro SPTSX 60 and Picton Mahoney Fortified, you can compare the effects of market volatilities on BetaPro SPTSX and Picton Mahoney 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 Picton Mahoney. Check out your portfolio center. Please also check ongoing floating volatility patterns of BetaPro SPTSX and Picton Mahoney.
Diversification Opportunities for BetaPro SPTSX and Picton Mahoney
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between BetaPro and Picton is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding BetaPro SPTSX 60 and Picton Mahoney Fortified in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Picton Mahoney Fortified 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 60 are associated (or correlated) with Picton Mahoney. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Picton Mahoney Fortified has no effect on the direction of BetaPro SPTSX i.e., BetaPro SPTSX and Picton Mahoney go up and down completely randomly.
Pair Corralation between BetaPro SPTSX and Picton Mahoney
Assuming the 90 days trading horizon BetaPro SPTSX 60 is expected to under-perform the Picton Mahoney. In addition to that, BetaPro SPTSX is 1.98 times more volatile than Picton Mahoney Fortified. It trades about -0.05 of its total potential returns per unit of risk. Picton Mahoney Fortified is currently generating about -0.03 per unit of volatility. If you would invest 1,855 in Picton Mahoney Fortified on December 30, 2024 and sell it today you would lose (29.00) from holding Picton Mahoney Fortified or give up 1.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
BetaPro SPTSX 60 vs. Picton Mahoney Fortified
Performance |
Timeline |
BetaPro SPTSX 60 |
Picton Mahoney Fortified |
BetaPro SPTSX and Picton Mahoney Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BetaPro SPTSX and Picton Mahoney
The main advantage of trading using opposite BetaPro SPTSX and Picton Mahoney positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BetaPro SPTSX position performs unexpectedly, Picton Mahoney 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 Picton Mahoney will offset losses from the drop in Picton Mahoney's long position.BetaPro SPTSX vs. BetaPro SPTSX 60 | BetaPro SPTSX vs. BetaPro Equal Weight | BetaPro SPTSX vs. BetaPro Gold Bullion | BetaPro SPTSX vs. BetaPro SP 500 |
Picton Mahoney vs. Picton Mahoney Fortified | Picton Mahoney vs. Picton Mahoney Fortified | Picton Mahoney vs. Picton Mahoney Fortified | Picton Mahoney vs. NBI Liquid Alternatives |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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