Correlation Between Heartland Financial and PT Gudang
Can any of the company-specific risk be diversified away by investing in both Heartland Financial and PT Gudang 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 Heartland Financial and PT Gudang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Heartland Financial USA and PT Gudang Garam, you can compare the effects of market volatilities on Heartland Financial and PT Gudang 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 Heartland Financial with a short position of PT Gudang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Heartland Financial and PT Gudang.
Diversification Opportunities for Heartland Financial and PT Gudang
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Heartland and GGG is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Heartland Financial USA and PT Gudang Garam in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Gudang Garam and Heartland Financial 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 Heartland Financial USA are associated (or correlated) with PT Gudang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Gudang Garam has no effect on the direction of Heartland Financial i.e., Heartland Financial and PT Gudang go up and down completely randomly.
Pair Corralation between Heartland Financial and PT Gudang
Assuming the 90 days horizon Heartland Financial USA is expected to generate 0.33 times more return on investment than PT Gudang. However, Heartland Financial USA is 3.08 times less risky than PT Gudang. It trades about 0.16 of its potential returns per unit of risk. PT Gudang Garam is currently generating about 0.0 per unit of risk. If you would invest 3,945 in Heartland Financial USA on September 3, 2024 and sell it today you would earn a total of 2,405 from holding Heartland Financial USA or generate 60.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Heartland Financial USA vs. PT Gudang Garam
Performance |
| Timeline |
| Heartland Financial USA |
| PT Gudang Garam |
Heartland Financial and PT Gudang Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Heartland Financial and PT Gudang
The main advantage of trading using opposite Heartland Financial and PT Gudang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Heartland Financial position performs unexpectedly, PT Gudang 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 PT Gudang will offset losses from the drop in PT Gudang's long position.| Heartland Financial vs. FIREWEED METALS P | Heartland Financial vs. Constellation Software | Heartland Financial vs. JAPAN TOBACCO UNSPADR12 | Heartland Financial vs. Jacquet Metal Service |
| PT Gudang vs. MICRONIC MYDATA | PT Gudang vs. DICKER DATA LTD | PT Gudang vs. ONWARD MEDICAL BV | PT Gudang vs. Public Storage |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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