Correlation Between GEELY AUTOMOBILE and Hitachi Zosen
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and Hitachi Zosen 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 GEELY AUTOMOBILE and Hitachi Zosen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and Hitachi Zosen, you can compare the effects of market volatilities on GEELY AUTOMOBILE and Hitachi Zosen 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 GEELY AUTOMOBILE with a short position of Hitachi Zosen. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and Hitachi Zosen.
Diversification Opportunities for GEELY AUTOMOBILE and Hitachi Zosen
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GEELY and Hitachi is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and Hitachi Zosen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hitachi Zosen and GEELY AUTOMOBILE 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 GEELY AUTOMOBILE are associated (or correlated) with Hitachi Zosen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hitachi Zosen has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and Hitachi Zosen go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and Hitachi Zosen
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 1.52 times more return on investment than Hitachi Zosen. However, GEELY AUTOMOBILE is 1.52 times more volatile than Hitachi Zosen. It trades about 0.07 of its potential returns per unit of risk. Hitachi Zosen is currently generating about 0.05 per unit of risk. If you would invest 186.00 in GEELY AUTOMOBILE on December 21, 2024 and sell it today you would earn a total of 20.00 from holding GEELY AUTOMOBILE or generate 10.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. Hitachi Zosen
Performance |
Timeline |
GEELY AUTOMOBILE |
Hitachi Zosen |
GEELY AUTOMOBILE and Hitachi Zosen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and Hitachi Zosen
The main advantage of trading using opposite GEELY AUTOMOBILE and Hitachi Zosen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, Hitachi Zosen 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 Hitachi Zosen will offset losses from the drop in Hitachi Zosen's long position.GEELY AUTOMOBILE vs. GOLDQUEST MINING | GEELY AUTOMOBILE vs. MIRAMAR HOTEL INV | GEELY AUTOMOBILE vs. ARDAGH METAL PACDL 0001 | GEELY AUTOMOBILE vs. MAGNUM MINING EXP |
Hitachi Zosen vs. RYANAIR HLDGS ADR | Hitachi Zosen vs. MYFAIR GOLD P | Hitachi Zosen vs. REGAL ASIAN INVESTMENTS | Hitachi Zosen vs. Norwegian Air Shuttle |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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