Correlation Between PT Indo and DFDS A/S
Can any of the company-specific risk be diversified away by investing in both PT Indo and DFDS A/S 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 Indo and DFDS A/S into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Indo Tambangraya and DFDS AS, you can compare the effects of market volatilities on PT Indo and DFDS A/S 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 Indo with a short position of DFDS A/S. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Indo and DFDS A/S.
Diversification Opportunities for PT Indo and DFDS A/S
Very good diversification
The 3 months correlation between 3IB and DFDS is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding PT Indo Tambangraya and DFDS AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DFDS A/S and PT Indo 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 Indo Tambangraya are associated (or correlated) with DFDS A/S. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DFDS A/S has no effect on the direction of PT Indo i.e., PT Indo and DFDS A/S go up and down completely randomly.
Pair Corralation between PT Indo and DFDS A/S
Assuming the 90 days trading horizon PT Indo Tambangraya is expected to generate 1.77 times more return on investment than DFDS A/S. However, PT Indo is 1.77 times more volatile than DFDS AS. It trades about 0.0 of its potential returns per unit of risk. DFDS AS is currently generating about -0.02 per unit of risk. If you would invest 218.00 in PT Indo Tambangraya on October 4, 2024 and sell it today you would lose (66.00) from holding PT Indo Tambangraya or give up 30.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PT Indo Tambangraya vs. DFDS AS
Performance |
Timeline |
PT Indo Tambangraya |
DFDS A/S |
PT Indo and DFDS A/S Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Indo and DFDS A/S
The main advantage of trading using opposite PT Indo and DFDS A/S positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Indo position performs unexpectedly, DFDS A/S 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 DFDS A/S will offset losses from the drop in DFDS A/S's long position.The idea behind PT Indo Tambangraya and DFDS AS pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.DFDS A/S vs. ANGLER GAMING PLC | DFDS A/S vs. X FAB Silicon Foundries | DFDS A/S vs. Hochschild Mining plc | DFDS A/S vs. Micron Technology |
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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