Correlation Between San Fu and Johnson Chemical
Can any of the company-specific risk be diversified away by investing in both San Fu and Johnson Chemical 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 Johnson Chemical 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 Johnson Chemical Pharmaceutical, you can compare the effects of market volatilities on San Fu and Johnson Chemical 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 Johnson Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of San Fu and Johnson Chemical.
Diversification Opportunities for San Fu and Johnson Chemical
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between San and Johnson is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding San Fu Chemical and Johnson Chemical Pharmaceutica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Johnson Chemical Pha 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 Johnson Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Johnson Chemical Pha has no effect on the direction of San Fu i.e., San Fu and Johnson Chemical go up and down completely randomly.
Pair Corralation between San Fu and Johnson Chemical
Assuming the 90 days trading horizon San Fu Chemical is expected to under-perform the Johnson Chemical. But the stock apears to be less risky and, when comparing its historical volatility, San Fu Chemical is 1.29 times less risky than Johnson Chemical. The stock trades about -0.1 of its potential returns per unit of risk. The Johnson Chemical Pharmaceutical is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 7,160 in Johnson Chemical Pharmaceutical on December 22, 2024 and sell it today you would earn a total of 340.00 from holding Johnson Chemical Pharmaceutical or generate 4.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
San Fu Chemical vs. Johnson Chemical Pharmaceutica
Performance |
Timeline |
San Fu Chemical |
Johnson Chemical Pha |
San Fu and Johnson Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with San Fu and Johnson Chemical
The main advantage of trading using opposite San Fu and Johnson Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if San Fu position performs unexpectedly, Johnson Chemical 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 Johnson Chemical will offset losses from the drop in Johnson Chemical'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 |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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