Correlation Between First Trust and 1919 Financial
Can any of the company-specific risk be diversified away by investing in both First Trust and 1919 Financial 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 First Trust and 1919 Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Specialty and 1919 Financial Services, you can compare the effects of market volatilities on First Trust and 1919 Financial 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 First Trust with a short position of 1919 Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and 1919 Financial.
Diversification Opportunities for First Trust and 1919 Financial
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between First and 1919 is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Specialty and 1919 Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 1919 Financial Services and First Trust 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 First Trust Specialty are associated (or correlated) with 1919 Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 1919 Financial Services has no effect on the direction of First Trust i.e., First Trust and 1919 Financial go up and down completely randomly.
Pair Corralation between First Trust and 1919 Financial
Considering the 90-day investment horizon First Trust is expected to generate 1.87 times less return on investment than 1919 Financial. But when comparing it to its historical volatility, First Trust Specialty is 1.02 times less risky than 1919 Financial. It trades about 0.13 of its potential returns per unit of risk. 1919 Financial Services is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 2,886 in 1919 Financial Services on November 3, 2024 and sell it today you would earn a total of 142.00 from holding 1919 Financial Services or generate 4.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
First Trust Specialty vs. 1919 Financial Services
Performance |
| Timeline |
| First Trust Specialty |
| 1919 Financial Services |
First Trust and 1919 Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Trust and 1919 Financial
The main advantage of trading using opposite First Trust and 1919 Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, 1919 Financial 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 1919 Financial will offset losses from the drop in 1919 Financial's long position.| First Trust vs. MFS High Income | First Trust vs. MFS High Yield | First Trust vs. Blackrock Muniholdings Quality | First Trust vs. MFS Government Markets |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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