Correlation Between Indo Tambangraya and Peabody Energy
Can any of the company-specific risk be diversified away by investing in both Indo Tambangraya and Peabody Energy 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 Indo Tambangraya and Peabody Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indo Tambangraya Megah and Peabody Energy Corp, you can compare the effects of market volatilities on Indo Tambangraya and Peabody Energy 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 Indo Tambangraya with a short position of Peabody Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indo Tambangraya and Peabody Energy.
Diversification Opportunities for Indo Tambangraya and Peabody Energy
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Indo and Peabody is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Indo Tambangraya Megah and Peabody Energy Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peabody Energy Corp and Indo Tambangraya 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 Indo Tambangraya Megah are associated (or correlated) with Peabody Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peabody Energy Corp has no effect on the direction of Indo Tambangraya i.e., Indo Tambangraya and Peabody Energy go up and down completely randomly.
Pair Corralation between Indo Tambangraya and Peabody Energy
Assuming the 90 days horizon Indo Tambangraya Megah is expected to generate 0.95 times more return on investment than Peabody Energy. However, Indo Tambangraya Megah is 1.06 times less risky than Peabody Energy. It trades about -0.06 of its potential returns per unit of risk. Peabody Energy Corp is currently generating about -0.18 per unit of risk. If you would invest 335.00 in Indo Tambangraya Megah on December 28, 2024 and sell it today you would lose (50.00) from holding Indo Tambangraya Megah or give up 14.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 96.83% |
Values | Daily Returns |
Indo Tambangraya Megah vs. Peabody Energy Corp
Performance |
Timeline |
Indo Tambangraya Megah |
Peabody Energy Corp |
Indo Tambangraya and Peabody Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indo Tambangraya and Peabody Energy
The main advantage of trading using opposite Indo Tambangraya and Peabody Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indo Tambangraya position performs unexpectedly, Peabody Energy 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 Peabody Energy will offset losses from the drop in Peabody Energy's long position.Indo Tambangraya vs. Bukit Asam Tbk | Indo Tambangraya vs. Adaro Energy Tbk | Indo Tambangraya vs. Geo Energy Resources | Indo Tambangraya vs. Yanzhou Coal Mining |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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