Correlation Between Sea Sonic and Singatron Enterprise
Can any of the company-specific risk be diversified away by investing in both Sea Sonic and Singatron Enterprise 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 Sea Sonic and Singatron Enterprise into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sea Sonic Electronics and Singatron Enterprise Co, you can compare the effects of market volatilities on Sea Sonic and Singatron Enterprise 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 Sea Sonic with a short position of Singatron Enterprise. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sea Sonic and Singatron Enterprise.
Diversification Opportunities for Sea Sonic and Singatron Enterprise
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sea and Singatron is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Sea Sonic Electronics and Singatron Enterprise Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singatron Enterprise and Sea Sonic 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 Sea Sonic Electronics are associated (or correlated) with Singatron Enterprise. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singatron Enterprise has no effect on the direction of Sea Sonic i.e., Sea Sonic and Singatron Enterprise go up and down completely randomly.
Pair Corralation between Sea Sonic and Singatron Enterprise
Assuming the 90 days trading horizon Sea Sonic Electronics is expected to generate 1.85 times more return on investment than Singatron Enterprise. However, Sea Sonic is 1.85 times more volatile than Singatron Enterprise Co. It trades about 0.11 of its potential returns per unit of risk. Singatron Enterprise Co is currently generating about -0.04 per unit of risk. If you would invest 6,900 in Sea Sonic Electronics on December 24, 2024 and sell it today you would earn a total of 1,120 from holding Sea Sonic Electronics or generate 16.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sea Sonic Electronics vs. Singatron Enterprise Co
Performance |
Timeline |
Sea Sonic Electronics |
Singatron Enterprise |
Sea Sonic and Singatron Enterprise Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sea Sonic and Singatron Enterprise
The main advantage of trading using opposite Sea Sonic and Singatron Enterprise positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sea Sonic position performs unexpectedly, Singatron Enterprise 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 Singatron Enterprise will offset losses from the drop in Singatron Enterprise's long position.Sea Sonic vs. Chenbro Micom Co | Sea Sonic vs. Sonix Technology Co | Sea Sonic vs. Singatron Enterprise Co | Sea Sonic vs. Scan D |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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