Correlation Between Hochschild Mining and Games Workshop
Can any of the company-specific risk be diversified away by investing in both Hochschild Mining and Games Workshop 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 Hochschild Mining and Games Workshop into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hochschild Mining plc and Games Workshop Group, you can compare the effects of market volatilities on Hochschild Mining and Games Workshop 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 Hochschild Mining with a short position of Games Workshop. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hochschild Mining and Games Workshop.
Diversification Opportunities for Hochschild Mining and Games Workshop
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hochschild and Games is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Hochschild Mining plc and Games Workshop Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Games Workshop Group and Hochschild Mining 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 Hochschild Mining plc are associated (or correlated) with Games Workshop. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Games Workshop Group has no effect on the direction of Hochschild Mining i.e., Hochschild Mining and Games Workshop go up and down completely randomly.
Pair Corralation between Hochschild Mining and Games Workshop
Assuming the 90 days horizon Hochschild Mining plc is expected to generate 1.69 times more return on investment than Games Workshop. However, Hochschild Mining is 1.69 times more volatile than Games Workshop Group. It trades about 0.09 of its potential returns per unit of risk. Games Workshop Group is currently generating about 0.05 per unit of risk. If you would invest 83.00 in Hochschild Mining plc on March 29, 2025 and sell it today you would earn a total of 208.00 from holding Hochschild Mining plc or generate 250.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hochschild Mining plc vs. Games Workshop Group
Performance |
Timeline |
Hochschild Mining plc |
Games Workshop Group |
Hochschild Mining and Games Workshop Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hochschild Mining and Games Workshop
The main advantage of trading using opposite Hochschild Mining and Games Workshop positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hochschild Mining position performs unexpectedly, Games Workshop 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 Games Workshop will offset losses from the drop in Games Workshop's long position.Hochschild Mining vs. ECHO INVESTMENT ZY | Hochschild Mining vs. American Eagle Outfitters | Hochschild Mining vs. WisdomTree Investments | Hochschild Mining vs. Odyssean Investment Trust |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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