Correlation Between Dow Jones and Terregra Asia
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Terregra Asia 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 Dow Jones and Terregra Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Terregra Asia Energy, you can compare the effects of market volatilities on Dow Jones and Terregra Asia 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 Dow Jones with a short position of Terregra Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Terregra Asia.
Diversification Opportunities for Dow Jones and Terregra Asia
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and Terregra is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Terregra Asia Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Terregra Asia Energy and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Terregra Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Terregra Asia Energy has no effect on the direction of Dow Jones i.e., Dow Jones and Terregra Asia go up and down completely randomly.
Pair Corralation between Dow Jones and Terregra Asia
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.18 times more return on investment than Terregra Asia. However, Dow Jones Industrial is 5.45 times less risky than Terregra Asia. It trades about 0.07 of its potential returns per unit of risk. Terregra Asia Energy is currently generating about 0.0 per unit of risk. If you would invest 3,391,085 in Dow Jones Industrial on October 7, 2024 and sell it today you would earn a total of 882,128 from holding Dow Jones Industrial or generate 26.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 94.57% |
Values | Daily Returns |
Dow Jones Industrial vs. Terregra Asia Energy
Performance |
Timeline |
Dow Jones and Terregra Asia Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Terregra Asia Energy
Pair trading matchups for Terregra Asia
Pair Trading with Dow Jones and Terregra Asia
The main advantage of trading using opposite Dow Jones and Terregra Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Terregra Asia 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 Terregra Asia will offset losses from the drop in Terregra Asia's long position.Dow Jones vs. NetSol Technologies | Dow Jones vs. Q2 Holdings | Dow Jones vs. Weyco Group | Dow Jones vs. Newell Brands |
Terregra Asia vs. Kapuas Prima Coal | Terregra Asia vs. Cikarang Listrindo Tbk | Terregra Asia vs. PP Presisi Tbk | Terregra Asia vs. Alfa Energi Investama |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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