Correlation Between Asia Plastic and Victory New
Can any of the company-specific risk be diversified away by investing in both Asia Plastic and Victory New 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 Asia Plastic and Victory New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asia Plastic Recycling and Victory New Materials, you can compare the effects of market volatilities on Asia Plastic and Victory New 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 Asia Plastic with a short position of Victory New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Plastic and Victory New.
Diversification Opportunities for Asia Plastic and Victory New
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Asia and Victory is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Asia Plastic Recycling and Victory New Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Victory New Materials and Asia Plastic 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 Asia Plastic Recycling are associated (or correlated) with Victory New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Victory New Materials has no effect on the direction of Asia Plastic i.e., Asia Plastic and Victory New go up and down completely randomly.
Pair Corralation between Asia Plastic and Victory New
Assuming the 90 days trading horizon Asia Plastic Recycling is expected to under-perform the Victory New. But the stock apears to be less risky and, when comparing its historical volatility, Asia Plastic Recycling is 1.26 times less risky than Victory New. The stock trades about -0.02 of its potential returns per unit of risk. The Victory New Materials is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 978.00 in Victory New Materials on September 3, 2024 and sell it today you would earn a total of 16.00 from holding Victory New Materials or generate 1.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Asia Plastic Recycling vs. Victory New Materials
Performance |
Timeline |
Asia Plastic Recycling |
Victory New Materials |
Asia Plastic and Victory New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Plastic and Victory New
The main advantage of trading using opposite Asia Plastic and Victory New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Plastic position performs unexpectedly, Victory New 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 Victory New will offset losses from the drop in Victory New's long position.Asia Plastic vs. Victory New Materials | Asia Plastic vs. Hunya Foods Co | Asia Plastic vs. YCC Parts MFG | Asia Plastic vs. Kwong Fong Industries |
Victory New vs. Feng Tay Enterprises | Victory New vs. Pou Chen Corp | Victory New vs. Hsinli Chemical Industrial |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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