Correlation Between Hochschild Mining and Lindsell Train
Can any of the company-specific risk be diversified away by investing in both Hochschild Mining and Lindsell Train 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 Lindsell Train 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 Lindsell Train Investment, you can compare the effects of market volatilities on Hochschild Mining and Lindsell Train 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 Lindsell Train. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hochschild Mining and Lindsell Train.
Diversification Opportunities for Hochschild Mining and Lindsell Train
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hochschild and Lindsell is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Hochschild Mining plc and Lindsell Train Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lindsell Train Investment 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 Lindsell Train. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lindsell Train Investment has no effect on the direction of Hochschild Mining i.e., Hochschild Mining and Lindsell Train go up and down completely randomly.
Pair Corralation between Hochschild Mining and Lindsell Train
Assuming the 90 days trading horizon Hochschild Mining plc is expected to generate 1.84 times more return on investment than Lindsell Train. However, Hochschild Mining is 1.84 times more volatile than Lindsell Train Investment. It trades about 0.1 of its potential returns per unit of risk. Lindsell Train Investment is currently generating about 0.03 per unit of risk. If you would invest 18,020 in Hochschild Mining plc on September 19, 2024 and sell it today you would earn a total of 3,480 from holding Hochschild Mining plc or generate 19.31% 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. Lindsell Train Investment
Performance |
Timeline |
Hochschild Mining plc |
Lindsell Train Investment |
Hochschild Mining and Lindsell Train Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hochschild Mining and Lindsell Train
The main advantage of trading using opposite Hochschild Mining and Lindsell Train positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hochschild Mining position performs unexpectedly, Lindsell Train 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 Lindsell Train will offset losses from the drop in Lindsell Train's long position.Hochschild Mining vs. UNIQA Insurance Group | Hochschild Mining vs. Monster Beverage Corp | Hochschild Mining vs. Flow Traders NV | Hochschild Mining vs. Auto Trader Group |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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