Correlation Between Chongqing Machinery and GOODTECH ASA
Can any of the company-specific risk be diversified away by investing in both Chongqing Machinery and GOODTECH ASA 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 Chongqing Machinery and GOODTECH ASA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chongqing Machinery Electric and GOODTECH ASA A, you can compare the effects of market volatilities on Chongqing Machinery and GOODTECH ASA 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 Chongqing Machinery with a short position of GOODTECH ASA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Machinery and GOODTECH ASA.
Diversification Opportunities for Chongqing Machinery and GOODTECH ASA
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chongqing and GOODTECH is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Machinery Electric and GOODTECH ASA A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOODTECH ASA A and Chongqing Machinery 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 Chongqing Machinery Electric are associated (or correlated) with GOODTECH ASA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOODTECH ASA A has no effect on the direction of Chongqing Machinery i.e., Chongqing Machinery and GOODTECH ASA go up and down completely randomly.
Pair Corralation between Chongqing Machinery and GOODTECH ASA
Assuming the 90 days horizon Chongqing Machinery Electric is expected to generate 5.62 times more return on investment than GOODTECH ASA. However, Chongqing Machinery is 5.62 times more volatile than GOODTECH ASA A. It trades about 0.13 of its potential returns per unit of risk. GOODTECH ASA A is currently generating about -0.02 per unit of risk. If you would invest 7.40 in Chongqing Machinery Electric on December 2, 2024 and sell it today you would earn a total of 5.60 from holding Chongqing Machinery Electric or generate 75.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chongqing Machinery Electric vs. GOODTECH ASA A
Performance |
Timeline |
Chongqing Machinery |
GOODTECH ASA A |
Chongqing Machinery and GOODTECH ASA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Machinery and GOODTECH ASA
The main advantage of trading using opposite Chongqing Machinery and GOODTECH ASA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Machinery position performs unexpectedly, GOODTECH ASA 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 GOODTECH ASA will offset losses from the drop in GOODTECH ASA's long position.Chongqing Machinery vs. Summit Hotel Properties | Chongqing Machinery vs. Universal Entertainment | Chongqing Machinery vs. MHP Hotel AG | Chongqing Machinery vs. Ming Le Sports |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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