Correlation Between Atlanticus Holdings and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Atlanticus Holdings and Dow Jones 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 Atlanticus Holdings and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Atlanticus Holdings and Dow Jones Industrial, you can compare the effects of market volatilities on Atlanticus Holdings and Dow Jones 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 Atlanticus Holdings with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Atlanticus Holdings and Dow Jones.
Diversification Opportunities for Atlanticus Holdings and Dow Jones
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Atlanticus and Dow is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Atlanticus Holdings and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Atlanticus Holdings 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 Atlanticus Holdings are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Atlanticus Holdings i.e., Atlanticus Holdings and Dow Jones go up and down completely randomly.
Pair Corralation between Atlanticus Holdings and Dow Jones
Given the investment horizon of 90 days Atlanticus Holdings is expected to generate 3.45 times more return on investment than Dow Jones. However, Atlanticus Holdings is 3.45 times more volatile than Dow Jones Industrial. It trades about 0.31 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.15 per unit of risk. If you would invest 3,535 in Atlanticus Holdings on August 30, 2024 and sell it today you would earn a total of 2,338 from holding Atlanticus Holdings or generate 66.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Atlanticus Holdings vs. Dow Jones Industrial
Performance |
Timeline |
Atlanticus Holdings and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Atlanticus Holdings
Pair trading matchups for Atlanticus Holdings
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Atlanticus Holdings and Dow Jones
The main advantage of trading using opposite Atlanticus Holdings and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Atlanticus Holdings position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Atlanticus Holdings vs. 360 Finance | Atlanticus Holdings vs. Lexinfintech Holdings | Atlanticus Holdings vs. Qudian Inc | Atlanticus Holdings vs. Enova International |
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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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