Correlation Between GEELY AUTOMOBILE and Fukuyama Transporting
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and Fukuyama Transporting 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 Fukuyama Transporting into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and Fukuyama Transporting Co, you can compare the effects of market volatilities on GEELY AUTOMOBILE and Fukuyama Transporting 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 Fukuyama Transporting. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and Fukuyama Transporting.
Diversification Opportunities for GEELY AUTOMOBILE and Fukuyama Transporting
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between GEELY and Fukuyama is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and Fukuyama Transporting Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fukuyama Transporting 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 Fukuyama Transporting. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fukuyama Transporting has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and Fukuyama Transporting go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and Fukuyama Transporting
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 3.68 times more return on investment than Fukuyama Transporting. However, GEELY AUTOMOBILE is 3.68 times more volatile than Fukuyama Transporting Co. It trades about 0.0 of its potential returns per unit of risk. Fukuyama Transporting Co is currently generating about -0.27 per unit of risk. If you would invest 177.00 in GEELY AUTOMOBILE on October 7, 2024 and sell it today you would lose (1.00) from holding GEELY AUTOMOBILE or give up 0.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. Fukuyama Transporting Co
Performance |
Timeline |
GEELY AUTOMOBILE |
Fukuyama Transporting |
GEELY AUTOMOBILE and Fukuyama Transporting Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and Fukuyama Transporting
The main advantage of trading using opposite GEELY AUTOMOBILE and Fukuyama Transporting positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, Fukuyama Transporting 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 Fukuyama Transporting will offset losses from the drop in Fukuyama Transporting's long position.GEELY AUTOMOBILE vs. Apple Inc | GEELY AUTOMOBILE vs. Apple Inc | GEELY AUTOMOBILE vs. Apple Inc | GEELY AUTOMOBILE vs. Apple Inc |
Fukuyama Transporting vs. Elmos Semiconductor SE | Fukuyama Transporting vs. CVR Medical Corp | Fukuyama Transporting vs. IMAGIN MEDICAL INC | Fukuyama Transporting vs. ENVVENO MEDICAL DL 00001 |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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