Correlation Between Swan Defined and First Trust
Can any of the company-specific risk be diversified away by investing in both Swan Defined 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 Swan Defined and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Swan Defined Risk and First Trust Intermediate, you can compare the effects of market volatilities on Swan Defined 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 Swan Defined with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swan Defined and First Trust.
Diversification Opportunities for Swan Defined and First Trust
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Swan and First is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Swan Defined Risk and First Trust Intermediate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Intermediate and Swan Defined 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 Swan Defined Risk 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 Intermediate has no effect on the direction of Swan Defined i.e., Swan Defined and First Trust go up and down completely randomly.
Pair Corralation between Swan Defined and First Trust
Assuming the 90 days horizon Swan Defined is expected to generate 1.45 times less return on investment than First Trust. But when comparing it to its historical volatility, Swan Defined Risk is 1.55 times less risky than First Trust. It trades about 0.36 of its potential returns per unit of risk. First Trust Intermediate is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest 1,715 in First Trust Intermediate on April 26, 2025 and sell it today you would earn a total of 162.00 from holding First Trust Intermediate or generate 9.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Swan Defined Risk vs. First Trust Intermediate
Performance |
Timeline |
Swan Defined Risk |
First Trust Intermediate |
Swan Defined and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Swan Defined and First Trust
The main advantage of trading using opposite Swan Defined and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swan Defined 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.Swan Defined vs. Qs Global Equity | Swan Defined vs. Tfa Alphagen Growth | Swan Defined vs. Ftfa Franklin Templeton Growth | Swan Defined vs. Old Westbury Large |
First Trust vs. Franklin Templeton Limited | First Trust vs. Blackrock Floating Rate | First Trust vs. Cohen Steers Limited | First Trust vs. Nuveen Preferred and |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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