Correlation Between China Finance and Via Renewables
Can any of the company-specific risk be diversified away by investing in both China Finance and Via Renewables 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 China Finance and Via Renewables into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Finance Online and Via Renewables, you can compare the effects of market volatilities on China Finance and Via Renewables 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 China Finance with a short position of Via Renewables. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Finance and Via Renewables.
Diversification Opportunities for China Finance and Via Renewables
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between China and Via is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding China Finance Online and Via Renewables in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Via Renewables and China Finance 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 China Finance Online are associated (or correlated) with Via Renewables. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Via Renewables has no effect on the direction of China Finance i.e., China Finance and Via Renewables go up and down completely randomly.
Pair Corralation between China Finance and Via Renewables
Assuming the 90 days horizon China Finance Online is expected to generate 26.56 times more return on investment than Via Renewables. However, China Finance is 26.56 times more volatile than Via Renewables. It trades about 0.05 of its potential returns per unit of risk. Via Renewables is currently generating about 0.07 per unit of risk. If you would invest 0.01 in China Finance Online on September 19, 2024 and sell it today you would earn a total of 0.00 from holding China Finance Online or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Finance Online vs. Via Renewables
Performance |
Timeline |
China Finance Online |
Via Renewables |
China Finance and Via Renewables Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Finance and Via Renewables
The main advantage of trading using opposite China Finance and Via Renewables positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Finance position performs unexpectedly, Via Renewables 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 Via Renewables will offset losses from the drop in Via Renewables' long position.China Finance vs. SPENN Technology AS | China Finance vs. OFX Group Ltd | China Finance vs. HUMANA INC | China Finance vs. Barloworld Ltd ADR |
Via Renewables vs. CMS Energy | Via Renewables vs. ACRES Commercial Realty | Via Renewables vs. Atlanticus Holdings Corp |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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