Correlation Between San Fu and Great Computer
Can any of the company-specific risk be diversified away by investing in both San Fu and Great Computer 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 San Fu and Great Computer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between San Fu Chemical and Great Computer, you can compare the effects of market volatilities on San Fu and Great Computer 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 San Fu with a short position of Great Computer. Check out your portfolio center. Please also check ongoing floating volatility patterns of San Fu and Great Computer.
Diversification Opportunities for San Fu and Great Computer
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between San and Great is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding San Fu Chemical and Great Computer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great Computer and San Fu 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 San Fu Chemical are associated (or correlated) with Great Computer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great Computer has no effect on the direction of San Fu i.e., San Fu and Great Computer go up and down completely randomly.
Pair Corralation between San Fu and Great Computer
Assuming the 90 days trading horizon San Fu is expected to generate 142.24 times less return on investment than Great Computer. But when comparing it to its historical volatility, San Fu Chemical is 20.86 times less risky than Great Computer. It trades about 0.01 of its potential returns per unit of risk. Great Computer is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,190 in Great Computer on October 25, 2024 and sell it today you would earn a total of 605.00 from holding Great Computer or generate 50.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
San Fu Chemical vs. Great Computer
Performance |
Timeline |
San Fu Chemical |
Great Computer |
San Fu and Great Computer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with San Fu and Great Computer
The main advantage of trading using opposite San Fu and Great Computer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if San Fu position performs unexpectedly, Great Computer 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 Great Computer will offset losses from the drop in Great Computer's long position.San Fu vs. Nuvoton Technology Corp | San Fu vs. Shiny Chemical Industrial | San Fu vs. Jinan Acetate Chemical | San Fu vs. Coremax Corp |
Great Computer vs. Fortune Information Systems | Great Computer vs. Evergreen International Storage | Great Computer vs. Wistron Information Technology | Great Computer vs. Datavan International |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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