Correlation Between Hochschild Mining and Teleperformance
Can any of the company-specific risk be diversified away by investing in both Hochschild Mining and Teleperformance 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 Teleperformance 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 Teleperformance SE, you can compare the effects of market volatilities on Hochschild Mining and Teleperformance 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 Teleperformance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hochschild Mining and Teleperformance.
Diversification Opportunities for Hochschild Mining and Teleperformance
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Hochschild and Teleperformance is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Hochschild Mining plc and Teleperformance SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Teleperformance SE 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 Teleperformance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Teleperformance SE has no effect on the direction of Hochschild Mining i.e., Hochschild Mining and Teleperformance go up and down completely randomly.
Pair Corralation between Hochschild Mining and Teleperformance
Assuming the 90 days trading horizon Hochschild Mining plc is expected to generate 1.54 times more return on investment than Teleperformance. However, Hochschild Mining is 1.54 times more volatile than Teleperformance SE. It trades about 0.02 of its potential returns per unit of risk. Teleperformance SE is currently generating about 0.01 per unit of risk. If you would invest 27,045 in Hochschild Mining plc on April 24, 2025 and sell it today you would lose (145.00) from holding Hochschild Mining plc or give up 0.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hochschild Mining plc vs. Teleperformance SE
Performance |
Timeline |
Hochschild Mining plc |
Teleperformance SE |
Hochschild Mining and Teleperformance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hochschild Mining and Teleperformance
The main advantage of trading using opposite Hochschild Mining and Teleperformance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hochschild Mining position performs unexpectedly, Teleperformance 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 Teleperformance will offset losses from the drop in Teleperformance's long position.Hochschild Mining vs. European Metals Holdings | Hochschild Mining vs. Southern Copper Corp | Hochschild Mining vs. Sovereign Metals | Hochschild Mining vs. Bisichi Mining PLC |
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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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