Correlation Between PT MNC and Humpuss Intermoda
Can any of the company-specific risk be diversified away by investing in both PT MNC and Humpuss Intermoda 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 PT MNC and Humpuss Intermoda into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT MNC Energy and Humpuss Intermoda Transportasi, you can compare the effects of market volatilities on PT MNC and Humpuss Intermoda 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 PT MNC with a short position of Humpuss Intermoda. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT MNC and Humpuss Intermoda.
Diversification Opportunities for PT MNC and Humpuss Intermoda
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between IATA and Humpuss is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding PT MNC Energy and Humpuss Intermoda Transportasi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Humpuss Intermoda and PT MNC 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 PT MNC Energy are associated (or correlated) with Humpuss Intermoda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Humpuss Intermoda has no effect on the direction of PT MNC i.e., PT MNC and Humpuss Intermoda go up and down completely randomly.
Pair Corralation between PT MNC and Humpuss Intermoda
Assuming the 90 days trading horizon PT MNC Energy is expected to generate 0.47 times more return on investment than Humpuss Intermoda. However, PT MNC Energy is 2.15 times less risky than Humpuss Intermoda. It trades about 0.01 of its potential returns per unit of risk. Humpuss Intermoda Transportasi is currently generating about -0.27 per unit of risk. If you would invest 4,900 in PT MNC Energy on October 22, 2024 and sell it today you would earn a total of 0.00 from holding PT MNC Energy or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT MNC Energy vs. Humpuss Intermoda Transportasi
Performance |
Timeline |
PT MNC Energy |
Humpuss Intermoda |
PT MNC and Humpuss Intermoda Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT MNC and Humpuss Intermoda
The main advantage of trading using opposite PT MNC and Humpuss Intermoda positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT MNC position performs unexpectedly, Humpuss Intermoda 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 Humpuss Intermoda will offset losses from the drop in Humpuss Intermoda's long position.PT MNC vs. Mnc Investama Tbk | PT MNC vs. Exploitasi Energi Indonesia | PT MNC vs. Smartfren Telecom Tbk | PT MNC vs. Humpuss Intermoda Transportasi |
Humpuss Intermoda vs. PT MNC Energy | Humpuss Intermoda vs. Tanah Laut Tbk | Humpuss Intermoda vs. Indorama Synthetics Tbk | Humpuss Intermoda vs. Fortune Mate Indonesia |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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