Correlation Between AECOM TECHNOLOGY and TIANQI LITHIUM
Can any of the company-specific risk be diversified away by investing in both AECOM TECHNOLOGY and TIANQI LITHIUM 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 AECOM TECHNOLOGY and TIANQI LITHIUM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AECOM TECHNOLOGY and TIANQI LITHIUM H, you can compare the effects of market volatilities on AECOM TECHNOLOGY and TIANQI LITHIUM 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 AECOM TECHNOLOGY with a short position of TIANQI LITHIUM. Check out your portfolio center. Please also check ongoing floating volatility patterns of AECOM TECHNOLOGY and TIANQI LITHIUM.
Diversification Opportunities for AECOM TECHNOLOGY and TIANQI LITHIUM
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between AECOM and TIANQI is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding AECOM TECHNOLOGY and TIANQI LITHIUM H in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TIANQI LITHIUM H and AECOM TECHNOLOGY 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 AECOM TECHNOLOGY are associated (or correlated) with TIANQI LITHIUM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TIANQI LITHIUM H has no effect on the direction of AECOM TECHNOLOGY i.e., AECOM TECHNOLOGY and TIANQI LITHIUM go up and down completely randomly.
Pair Corralation between AECOM TECHNOLOGY and TIANQI LITHIUM
Assuming the 90 days trading horizon AECOM TECHNOLOGY is expected to under-perform the TIANQI LITHIUM. But the stock apears to be less risky and, when comparing its historical volatility, AECOM TECHNOLOGY is 2.28 times less risky than TIANQI LITHIUM. The stock trades about -0.16 of its potential returns per unit of risk. The TIANQI LITHIUM H is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 286.00 in TIANQI LITHIUM H on December 21, 2024 and sell it today you would earn a total of 16.00 from holding TIANQI LITHIUM H or generate 5.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AECOM TECHNOLOGY vs. TIANQI LITHIUM H
Performance |
Timeline |
AECOM TECHNOLOGY |
TIANQI LITHIUM H |
AECOM TECHNOLOGY and TIANQI LITHIUM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AECOM TECHNOLOGY and TIANQI LITHIUM
The main advantage of trading using opposite AECOM TECHNOLOGY and TIANQI LITHIUM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AECOM TECHNOLOGY position performs unexpectedly, TIANQI LITHIUM 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 TIANQI LITHIUM will offset losses from the drop in TIANQI LITHIUM's long position.AECOM TECHNOLOGY vs. UNIQA INSURANCE GR | AECOM TECHNOLOGY vs. CARSALESCOM | AECOM TECHNOLOGY vs. Tradegate AG Wertpapierhandelsbank | AECOM TECHNOLOGY vs. Sabre Insurance Group |
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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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