Correlation Between GEELY AUTOMOBILE and NEW MILLENNIUM
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and NEW MILLENNIUM 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 NEW MILLENNIUM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and NEW MILLENNIUM IRON, you can compare the effects of market volatilities on GEELY AUTOMOBILE and NEW MILLENNIUM 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 NEW MILLENNIUM. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and NEW MILLENNIUM.
Diversification Opportunities for GEELY AUTOMOBILE and NEW MILLENNIUM
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GEELY and NEW is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and NEW MILLENNIUM IRON in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NEW MILLENNIUM IRON 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 NEW MILLENNIUM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NEW MILLENNIUM IRON has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and NEW MILLENNIUM go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and NEW MILLENNIUM
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 1.24 times more return on investment than NEW MILLENNIUM. However, GEELY AUTOMOBILE is 1.24 times more volatile than NEW MILLENNIUM IRON. It trades about 0.12 of its potential returns per unit of risk. NEW MILLENNIUM IRON is currently generating about 0.06 per unit of risk. If you would invest 142.00 in GEELY AUTOMOBILE on October 8, 2024 and sell it today you would earn a total of 34.00 from holding GEELY AUTOMOBILE or generate 23.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. NEW MILLENNIUM IRON
Performance |
Timeline |
GEELY AUTOMOBILE |
NEW MILLENNIUM IRON |
GEELY AUTOMOBILE and NEW MILLENNIUM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and NEW MILLENNIUM
The main advantage of trading using opposite GEELY AUTOMOBILE and NEW MILLENNIUM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, NEW MILLENNIUM 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 NEW MILLENNIUM will offset losses from the drop in NEW MILLENNIUM's long position.GEELY AUTOMOBILE vs. Apple Inc | GEELY AUTOMOBILE vs. Apple Inc | GEELY AUTOMOBILE vs. Apple Inc | GEELY AUTOMOBILE vs. Apple Inc |
NEW MILLENNIUM vs. RYMAN HEALTHCAR | NEW MILLENNIUM vs. Wenzhou Kangning Hospital | NEW MILLENNIUM vs. NIGHTINGALE HEALTH EO | NEW MILLENNIUM vs. AWILCO DRILLING PLC |
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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