Correlation Between Sino AG and Chevron
Can any of the company-specific risk be diversified away by investing in both Sino AG and Chevron 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 Sino AG and Chevron into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sino AG and Chevron, you can compare the effects of market volatilities on Sino AG and Chevron 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 Sino AG with a short position of Chevron. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sino AG and Chevron.
Diversification Opportunities for Sino AG and Chevron
Modest diversification
The 3 months correlation between Sino and Chevron is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Sino AG and Chevron in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chevron and Sino AG 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 Sino AG are associated (or correlated) with Chevron. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chevron has no effect on the direction of Sino AG i.e., Sino AG and Chevron go up and down completely randomly.
Pair Corralation between Sino AG and Chevron
Assuming the 90 days horizon Sino AG is expected to generate 1.22 times more return on investment than Chevron. However, Sino AG is 1.22 times more volatile than Chevron. It trades about 0.19 of its potential returns per unit of risk. Chevron is currently generating about 0.04 per unit of risk. If you would invest 8,650 in Sino AG on November 28, 2024 and sell it today you would earn a total of 600.00 from holding Sino AG or generate 6.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sino AG vs. Chevron
Performance |
Timeline |
Sino AG |
Chevron |
Sino AG and Chevron Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sino AG and Chevron
The main advantage of trading using opposite Sino AG and Chevron positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sino AG position performs unexpectedly, Chevron 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 Chevron will offset losses from the drop in Chevron's long position.GM vs. Sino AG | ||
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The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against Sino AG as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. Sino AG's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, Sino AG's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to Sino AG.
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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