Correlation Between DFS Furniture and Hochschild Mining
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Hochschild Mining 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 DFS Furniture and Hochschild Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DFS Furniture PLC and Hochschild Mining plc, you can compare the effects of market volatilities on DFS Furniture and Hochschild Mining 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 DFS Furniture with a short position of Hochschild Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Hochschild Mining.
Diversification Opportunities for DFS Furniture and Hochschild Mining
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DFS and Hochschild is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Hochschild Mining plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hochschild Mining plc and DFS Furniture 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 DFS Furniture PLC are associated (or correlated) with Hochschild Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hochschild Mining plc has no effect on the direction of DFS Furniture i.e., DFS Furniture and Hochschild Mining go up and down completely randomly.
Pair Corralation between DFS Furniture and Hochschild Mining
Assuming the 90 days trading horizon DFS Furniture PLC is expected to generate 0.63 times more return on investment than Hochschild Mining. However, DFS Furniture PLC is 1.59 times less risky than Hochschild Mining. It trades about 0.16 of its potential returns per unit of risk. Hochschild Mining plc is currently generating about 0.09 per unit of risk. If you would invest 11,900 in DFS Furniture PLC on September 17, 2024 and sell it today you would earn a total of 2,500 from holding DFS Furniture PLC or generate 21.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
DFS Furniture PLC vs. Hochschild Mining plc
Performance |
Timeline |
DFS Furniture PLC |
Hochschild Mining plc |
DFS Furniture and Hochschild Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DFS Furniture and Hochschild Mining
The main advantage of trading using opposite DFS Furniture and Hochschild Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Hochschild Mining 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 Hochschild Mining will offset losses from the drop in Hochschild Mining's long position.DFS Furniture vs. Berkshire Hathaway | DFS Furniture vs. Hyundai Motor | DFS Furniture vs. Samsung Electronics Co | DFS Furniture vs. Samsung Electronics Co |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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