Correlation Between BMO SPTSX and First Trust
Can any of the company-specific risk be diversified away by investing in both BMO SPTSX 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 BMO SPTSX and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BMO SPTSX Equal and First Trust AlphaDEX, you can compare the effects of market volatilities on BMO SPTSX 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 BMO SPTSX with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO SPTSX and First Trust.
Diversification Opportunities for BMO SPTSX and First Trust
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BMO and First is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding BMO SPTSX Equal and First Trust AlphaDEX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust AlphaDEX and BMO 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 BMO SPTSX Equal 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 AlphaDEX has no effect on the direction of BMO SPTSX i.e., BMO SPTSX and First Trust go up and down completely randomly.
Pair Corralation between BMO SPTSX and First Trust
Assuming the 90 days trading horizon BMO SPTSX Equal is expected to under-perform the First Trust. But the etf apears to be less risky and, when comparing its historical volatility, BMO SPTSX Equal is 1.02 times less risky than First Trust. The etf trades about -0.12 of its potential returns per unit of risk. The First Trust AlphaDEX is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 4,093 in First Trust AlphaDEX on December 28, 2024 and sell it today you would lose (107.00) from holding First Trust AlphaDEX or give up 2.61% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BMO SPTSX Equal vs. First Trust AlphaDEX
Performance |
Timeline |
BMO SPTSX Equal |
First Trust AlphaDEX |
BMO SPTSX and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO SPTSX and First Trust
The main advantage of trading using opposite BMO SPTSX and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO SPTSX 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.BMO SPTSX vs. BMO Equal Weight | BMO SPTSX vs. BMO Equal Weight | BMO SPTSX vs. BMO Global Infrastructure | BMO SPTSX vs. BMO SPTSX Equal |
First Trust vs. First Trust AlphaDEX | First Trust vs. FT AlphaDEX Industrials | First Trust vs. BMO Equal Weight | First Trust vs. iShares Global Healthcare |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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