Correlation Between Mercury Industries and SFP Tech
Can any of the company-specific risk be diversified away by investing in both Mercury Industries and SFP Tech 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 Mercury Industries and SFP Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mercury Industries Bhd and SFP Tech Holdings, you can compare the effects of market volatilities on Mercury Industries and SFP Tech 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 Mercury Industries with a short position of SFP Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercury Industries and SFP Tech.
Diversification Opportunities for Mercury Industries and SFP Tech
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Mercury and SFP is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Mercury Industries Bhd and SFP Tech Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SFP Tech Holdings and Mercury Industries 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 Mercury Industries Bhd are associated (or correlated) with SFP Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SFP Tech Holdings has no effect on the direction of Mercury Industries i.e., Mercury Industries and SFP Tech go up and down completely randomly.
Pair Corralation between Mercury Industries and SFP Tech
Assuming the 90 days trading horizon Mercury Industries Bhd is expected to generate 0.76 times more return on investment than SFP Tech. However, Mercury Industries Bhd is 1.31 times less risky than SFP Tech. It trades about 0.23 of its potential returns per unit of risk. SFP Tech Holdings is currently generating about -0.18 per unit of risk. If you would invest 91.00 in Mercury Industries Bhd on November 4, 2024 and sell it today you would earn a total of 6.00 from holding Mercury Industries Bhd or generate 6.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mercury Industries Bhd vs. SFP Tech Holdings
Performance |
| Timeline |
| Mercury Industries Bhd |
| SFP Tech Holdings |
Mercury Industries and SFP Tech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mercury Industries and SFP Tech
The main advantage of trading using opposite Mercury Industries and SFP Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercury Industries position performs unexpectedly, SFP Tech 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 SFP Tech will offset losses from the drop in SFP Tech's long position.| Mercury Industries vs. Choo Bee Metal | Mercury Industries vs. Binasat Communications Bhd | Mercury Industries vs. YX Precious Metals | Mercury Industries vs. Berjaya Food Bhd |
| SFP Tech vs. Impiana Hotels Bhd | SFP Tech vs. Datasonic Group Bhd | SFP Tech vs. Resintech Bhd | SFP Tech vs. Shangri La Hotels |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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