Correlation Between ANGANG STEEL and GEELY AUTOMOBILE
Can any of the company-specific risk be diversified away by investing in both ANGANG STEEL and GEELY AUTOMOBILE 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 ANGANG STEEL and GEELY AUTOMOBILE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ANGANG STEEL H and GEELY AUTOMOBILE, you can compare the effects of market volatilities on ANGANG STEEL and GEELY AUTOMOBILE 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 ANGANG STEEL with a short position of GEELY AUTOMOBILE. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANGANG STEEL and GEELY AUTOMOBILE.
Diversification Opportunities for ANGANG STEEL and GEELY AUTOMOBILE
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ANGANG and GEELY is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding ANGANG STEEL H and GEELY AUTOMOBILE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GEELY AUTOMOBILE and ANGANG STEEL 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 ANGANG STEEL H are associated (or correlated) with GEELY AUTOMOBILE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GEELY AUTOMOBILE has no effect on the direction of ANGANG STEEL i.e., ANGANG STEEL and GEELY AUTOMOBILE go up and down completely randomly.
Pair Corralation between ANGANG STEEL and GEELY AUTOMOBILE
Assuming the 90 days trading horizon ANGANG STEEL H is expected to generate 1.09 times more return on investment than GEELY AUTOMOBILE. However, ANGANG STEEL is 1.09 times more volatile than GEELY AUTOMOBILE. It trades about 0.13 of its potential returns per unit of risk. GEELY AUTOMOBILE is currently generating about 0.07 per unit of risk. If you would invest 18.00 in ANGANG STEEL H on December 22, 2024 and sell it today you would earn a total of 5.00 from holding ANGANG STEEL H or generate 27.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
ANGANG STEEL H vs. GEELY AUTOMOBILE
Performance |
Timeline |
ANGANG STEEL H |
GEELY AUTOMOBILE |
ANGANG STEEL and GEELY AUTOMOBILE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ANGANG STEEL and GEELY AUTOMOBILE
The main advantage of trading using opposite ANGANG STEEL and GEELY AUTOMOBILE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANGANG STEEL position performs unexpectedly, GEELY AUTOMOBILE 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 GEELY AUTOMOBILE will offset losses from the drop in GEELY AUTOMOBILE's long position.ANGANG STEEL vs. Aluminum of | ANGANG STEEL vs. FIREWEED METALS P | ANGANG STEEL vs. Lamar Advertising | ANGANG STEEL vs. CORNISH METALS INC |
GEELY AUTOMOBILE vs. Urban Outfitters | GEELY AUTOMOBILE vs. Perseus Mining Limited | GEELY AUTOMOBILE vs. SBM OFFSHORE | GEELY AUTOMOBILE vs. GRIFFIN MINING LTD |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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