Correlation Between Yonyu Plastics and Ocean Plastics
Can any of the company-specific risk be diversified away by investing in both Yonyu Plastics and Ocean Plastics 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 Yonyu Plastics and Ocean Plastics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yonyu Plastics Co and Ocean Plastics Co, you can compare the effects of market volatilities on Yonyu Plastics and Ocean Plastics 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 Yonyu Plastics with a short position of Ocean Plastics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yonyu Plastics and Ocean Plastics.
Diversification Opportunities for Yonyu Plastics and Ocean Plastics
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Yonyu and Ocean is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Yonyu Plastics Co and Ocean Plastics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ocean Plastics and Yonyu Plastics 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 Yonyu Plastics Co are associated (or correlated) with Ocean Plastics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ocean Plastics has no effect on the direction of Yonyu Plastics i.e., Yonyu Plastics and Ocean Plastics go up and down completely randomly.
Pair Corralation between Yonyu Plastics and Ocean Plastics
Assuming the 90 days trading horizon Yonyu Plastics Co is expected to generate 1.56 times more return on investment than Ocean Plastics. However, Yonyu Plastics is 1.56 times more volatile than Ocean Plastics Co. It trades about -0.11 of its potential returns per unit of risk. Ocean Plastics Co is currently generating about -0.23 per unit of risk. If you would invest 2,725 in Yonyu Plastics Co on October 1, 2024 and sell it today you would lose (255.00) from holding Yonyu Plastics Co or give up 9.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yonyu Plastics Co vs. Ocean Plastics Co
Performance |
Timeline |
Yonyu Plastics |
Ocean Plastics |
Yonyu Plastics and Ocean Plastics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yonyu Plastics and Ocean Plastics
The main advantage of trading using opposite Yonyu Plastics and Ocean Plastics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yonyu Plastics position performs unexpectedly, Ocean Plastics 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 Ocean Plastics will offset losses from the drop in Ocean Plastics' long position.Yonyu Plastics vs. Formosa Chemicals Fibre | Yonyu Plastics vs. China Steel Corp | Yonyu Plastics vs. Formosa Petrochemical Corp | Yonyu Plastics vs. Cathay Financial Holding |
Ocean Plastics vs. Formosa Chemicals Fibre | Ocean Plastics vs. China Steel Corp | Ocean Plastics vs. Formosa Petrochemical Corp | Ocean Plastics vs. Cathay Financial Holding |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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