Correlation Between ITMAX System and Dow Jones
Can any of the company-specific risk be diversified away by investing in both ITMAX System 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 ITMAX System and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ITMAX System Berhad and Dow Jones Industrial, you can compare the effects of market volatilities on ITMAX System 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 ITMAX System with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of ITMAX System and Dow Jones.
Diversification Opportunities for ITMAX System and Dow Jones
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between ITMAX and Dow is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding ITMAX System Berhad 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 ITMAX System 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 ITMAX System Berhad 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 ITMAX System i.e., ITMAX System and Dow Jones go up and down completely randomly.
Pair Corralation between ITMAX System and Dow Jones
Assuming the 90 days trading horizon ITMAX System Berhad is expected to under-perform the Dow Jones. In addition to that, ITMAX System is 2.03 times more volatile than Dow Jones Industrial. It trades about 0.0 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.03 per unit of volatility. If you would invest 4,220,822 in Dow Jones Industrial on September 24, 2024 and sell it today you would earn a total of 63,204 from holding Dow Jones Industrial or generate 1.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ITMAX System Berhad vs. Dow Jones Industrial
Performance |
Timeline |
ITMAX System and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
ITMAX System Berhad
Pair trading matchups for ITMAX System
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with ITMAX System and Dow Jones
The main advantage of trading using opposite ITMAX System and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ITMAX System 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.ITMAX System vs. Malayan Banking Bhd | ITMAX System vs. Public Bank Bhd | ITMAX System vs. Petronas Chemicals Group | ITMAX System vs. Tenaga Nasional Bhd |
Dow Jones vs. Teleflex Incorporated | Dow Jones vs. Sonida Senior Living | Dow Jones vs. Avadel Pharmaceuticals PLC | Dow Jones vs. Cardinal Health |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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