Correlation Between Shanghai Electric and TECO 2030
Can any of the company-specific risk be diversified away by investing in both Shanghai Electric and TECO 2030 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 Shanghai Electric and TECO 2030 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shanghai Electric Group and TECO 2030 ASA, you can compare the effects of market volatilities on Shanghai Electric and TECO 2030 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 Shanghai Electric with a short position of TECO 2030. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shanghai Electric and TECO 2030.
Diversification Opportunities for Shanghai Electric and TECO 2030
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Shanghai and TECO is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Shanghai Electric Group and TECO 2030 ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TECO 2030 ASA and Shanghai Electric 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 Shanghai Electric Group are associated (or correlated) with TECO 2030. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TECO 2030 ASA has no effect on the direction of Shanghai Electric i.e., Shanghai Electric and TECO 2030 go up and down completely randomly.
Pair Corralation between Shanghai Electric and TECO 2030
Assuming the 90 days horizon Shanghai Electric Group is expected to generate 0.88 times more return on investment than TECO 2030. However, Shanghai Electric Group is 1.13 times less risky than TECO 2030. It trades about 0.15 of its potential returns per unit of risk. TECO 2030 ASA is currently generating about -0.03 per unit of risk. If you would invest 370.00 in Shanghai Electric Group on September 12, 2024 and sell it today you would earn a total of 395.00 from holding Shanghai Electric Group or generate 106.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Shanghai Electric Group vs. TECO 2030 ASA
Performance |
Timeline |
Shanghai Electric |
TECO 2030 ASA |
Shanghai Electric and TECO 2030 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shanghai Electric and TECO 2030
The main advantage of trading using opposite Shanghai Electric and TECO 2030 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shanghai Electric position performs unexpectedly, TECO 2030 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 TECO 2030 will offset losses from the drop in TECO 2030's long position.Shanghai Electric vs. Xinjiang Goldwind Science | Shanghai Electric vs. American Superconductor | Shanghai Electric vs. Cummins | Shanghai Electric vs. Aquagold International |
TECO 2030 vs. Schneider Electric SA | TECO 2030 vs. Nordex SE | TECO 2030 vs. Xinjiang Goldwind Science | TECO 2030 vs. Nordex SE |
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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