Correlation Between First Trust and American Century
Can any of the company-specific risk be diversified away by investing in both First Trust and American Century 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 American Century into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Tactical and American Century ETF, you can compare the effects of market volatilities on First Trust and American Century 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 American Century. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and American Century.
Diversification Opportunities for First Trust and American Century
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between First and American is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Tactical and American Century ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Century ETF 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 Tactical are associated (or correlated) with American Century. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Century ETF has no effect on the direction of First Trust i.e., First Trust and American Century go up and down completely randomly.
Pair Corralation between First Trust and American Century
Given the investment horizon of 90 days First Trust Tactical is expected to generate 1.02 times more return on investment than American Century. However, First Trust is 1.02 times more volatile than American Century ETF. It trades about 0.05 of its potential returns per unit of risk. American Century ETF is currently generating about 0.03 per unit of risk. If you would invest 4,143 in First Trust Tactical on September 15, 2024 and sell it today you would earn a total of 24.00 from holding First Trust Tactical or generate 0.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Tactical vs. American Century ETF
Performance |
Timeline |
First Trust Tactical |
American Century ETF |
First Trust and American Century Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and American Century
The main advantage of trading using opposite First Trust and American Century positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, American Century 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 American Century will offset losses from the drop in American Century's long position.First Trust vs. Rivernorth Opportunistic Municipalome | First Trust vs. MFS Investment Grade | First Trust vs. Blackrock Muniholdings Ny | First Trust vs. Blackrock Muniholdings Closed |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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