Correlation Between Lotte Chemical and Asiaplast Industries
Can any of the company-specific risk be diversified away by investing in both Lotte Chemical and Asiaplast Industries 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 Lotte Chemical and Asiaplast Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Chemical Titan and Asiaplast Industries Tbk, you can compare the effects of market volatilities on Lotte Chemical and Asiaplast Industries 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 Lotte Chemical with a short position of Asiaplast Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Chemical and Asiaplast Industries.
Diversification Opportunities for Lotte Chemical and Asiaplast Industries
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lotte and Asiaplast is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Chemical Titan and Asiaplast Industries Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asiaplast Industries Tbk and Lotte Chemical 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 Lotte Chemical Titan are associated (or correlated) with Asiaplast Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asiaplast Industries Tbk has no effect on the direction of Lotte Chemical i.e., Lotte Chemical and Asiaplast Industries go up and down completely randomly.
Pair Corralation between Lotte Chemical and Asiaplast Industries
Assuming the 90 days trading horizon Lotte Chemical is expected to generate 42.31 times less return on investment than Asiaplast Industries. But when comparing it to its historical volatility, Lotte Chemical Titan is 1.93 times less risky than Asiaplast Industries. It trades about 0.0 of its potential returns per unit of risk. Asiaplast Industries Tbk is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 18,328 in Asiaplast Industries Tbk on August 28, 2024 and sell it today you would earn a total of 35,672 from holding Asiaplast Industries Tbk or generate 194.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Chemical Titan vs. Asiaplast Industries Tbk
Performance |
Timeline |
Lotte Chemical Titan |
Asiaplast Industries Tbk |
Lotte Chemical and Asiaplast Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Chemical and Asiaplast Industries
The main advantage of trading using opposite Lotte Chemical and Asiaplast Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Chemical position performs unexpectedly, Asiaplast Industries 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 Asiaplast Industries will offset losses from the drop in Asiaplast Industries' long position.Lotte Chemical vs. Kedaung Indah Can | Lotte Chemical vs. Langgeng Makmur Industri | Lotte Chemical vs. Kabelindo Murni Tbk | Lotte Chemical vs. Mustika Ratu Tbk |
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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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