Correlation Between GH Research and Dow Jones
Can any of the company-specific risk be diversified away by investing in both GH Research and Dow Jones 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 GH Research and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GH Research PLC and Dow Jones Industrial, you can compare the effects of market volatilities on GH Research and Dow Jones 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 GH Research with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of GH Research and Dow Jones.
Diversification Opportunities for GH Research and Dow Jones
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between GHRS and Dow is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding GH Research PLC and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and GH Research 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 GH Research PLC are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of GH Research i.e., GH Research and Dow Jones go up and down completely randomly.
Pair Corralation between GH Research and Dow Jones
Given the investment horizon of 90 days GH Research PLC is expected to under-perform the Dow Jones. In addition to that, GH Research is 5.66 times more volatile than Dow Jones Industrial. It trades about -0.06 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.14 per unit of volatility. If you would invest 3,885,286 in Dow Jones Industrial on August 25, 2024 and sell it today you would earn a total of 544,365 from holding Dow Jones Industrial or generate 14.01% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
GH Research PLC vs. Dow Jones Industrial
Performance |
| Timeline |
GH Research and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
GH Research PLC
Pair trading matchups for GH Research
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with GH Research and Dow Jones
The main advantage of trading using opposite GH Research and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GH Research position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| GH Research vs. Molecular Partners AG | GH Research vs. MediciNova | GH Research vs. Anebulo Pharmaceuticals | GH Research vs. Champions Oncology |
| Dow Jones vs. Vistra Energy Corp | Dow Jones vs. Fluence Energy | Dow Jones vs. Old Republic International | Dow Jones vs. Empresa Distribuidora y |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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