Correlation Between Asiaplast Industries and Champion Pacific
Can any of the company-specific risk be diversified away by investing in both Asiaplast Industries and Champion Pacific 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 Asiaplast Industries and Champion Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asiaplast Industries Tbk and Champion Pacific Indonesia, you can compare the effects of market volatilities on Asiaplast Industries and Champion Pacific 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 Asiaplast Industries with a short position of Champion Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asiaplast Industries and Champion Pacific.
Diversification Opportunities for Asiaplast Industries and Champion Pacific
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Asiaplast and Champion is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Asiaplast Industries Tbk and Champion Pacific Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Champion Pacific Ind and Asiaplast Industries 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 Asiaplast Industries Tbk are associated (or correlated) with Champion Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Champion Pacific Ind has no effect on the direction of Asiaplast Industries i.e., Asiaplast Industries and Champion Pacific go up and down completely randomly.
Pair Corralation between Asiaplast Industries and Champion Pacific
Assuming the 90 days trading horizon Asiaplast Industries Tbk is expected to under-perform the Champion Pacific. In addition to that, Asiaplast Industries is 2.05 times more volatile than Champion Pacific Indonesia. It trades about -0.04 of its total potential returns per unit of risk. Champion Pacific Indonesia is currently generating about 0.05 per unit of volatility. If you would invest 50,000 in Champion Pacific Indonesia on September 12, 2024 and sell it today you would earn a total of 2,000 from holding Champion Pacific Indonesia or generate 4.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Asiaplast Industries Tbk vs. Champion Pacific Indonesia
Performance |
Timeline |
Asiaplast Industries Tbk |
Champion Pacific Ind |
Asiaplast Industries and Champion Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asiaplast Industries and Champion Pacific
The main advantage of trading using opposite Asiaplast Industries and Champion Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asiaplast Industries position performs unexpectedly, Champion Pacific 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 Champion Pacific will offset losses from the drop in Champion Pacific's long position.Asiaplast Industries vs. Kedaung Indah Can | Asiaplast Industries vs. Kabelindo Murni Tbk | Asiaplast Industries vs. Champion Pacific Indonesia | Asiaplast Industries vs. Bhuwanatala Indah Permai |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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