Correlation Between Sterling Construction and Unilever Plc
Can any of the company-specific risk be diversified away by investing in both Sterling Construction and Unilever Plc 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 Sterling Construction and Unilever Plc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sterling Construction and Unilever Plc, you can compare the effects of market volatilities on Sterling Construction and Unilever Plc 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 Sterling Construction with a short position of Unilever Plc. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sterling Construction and Unilever Plc.
Diversification Opportunities for Sterling Construction and Unilever Plc
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sterling and Unilever is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Sterling Construction and Unilever Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Unilever Plc and Sterling Construction 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 Sterling Construction are associated (or correlated) with Unilever Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Unilever Plc has no effect on the direction of Sterling Construction i.e., Sterling Construction and Unilever Plc go up and down completely randomly.
Pair Corralation between Sterling Construction and Unilever Plc
Assuming the 90 days horizon Sterling Construction is expected to under-perform the Unilever Plc. In addition to that, Sterling Construction is 3.85 times more volatile than Unilever Plc. It trades about -0.09 of its total potential returns per unit of risk. Unilever Plc is currently generating about 0.01 per unit of volatility. If you would invest 5,418 in Unilever Plc on December 23, 2024 and sell it today you would earn a total of 30.00 from holding Unilever Plc or generate 0.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sterling Construction vs. Unilever Plc
Performance |
Timeline |
Sterling Construction |
Unilever Plc |
Sterling Construction and Unilever Plc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sterling Construction and Unilever Plc
The main advantage of trading using opposite Sterling Construction and Unilever Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sterling Construction position performs unexpectedly, Unilever Plc 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 Unilever Plc will offset losses from the drop in Unilever Plc's long position.Sterling Construction vs. LI METAL P | Sterling Construction vs. UNIVMUSIC GRPADR050 | Sterling Construction vs. THORNEY TECHS LTD | Sterling Construction vs. ACCSYS TECHPLC EO |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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