Correlation Between SigmaTron International and Data IO
Can any of the company-specific risk be diversified away by investing in both SigmaTron International and Data IO 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 SigmaTron International and Data IO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SigmaTron International and Data IO, you can compare the effects of market volatilities on SigmaTron International and Data IO 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 SigmaTron International with a short position of Data IO. Check out your portfolio center. Please also check ongoing floating volatility patterns of SigmaTron International and Data IO.
Diversification Opportunities for SigmaTron International and Data IO
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SigmaTron and Data is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding SigmaTron International and Data IO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data IO and SigmaTron International 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 SigmaTron International are associated (or correlated) with Data IO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data IO has no effect on the direction of SigmaTron International i.e., SigmaTron International and Data IO go up and down completely randomly.
Pair Corralation between SigmaTron International and Data IO
Given the investment horizon of 90 days SigmaTron International is expected to under-perform the Data IO. In addition to that, SigmaTron International is 1.11 times more volatile than Data IO. It trades about -0.1 of its total potential returns per unit of risk. Data IO is currently generating about 0.09 per unit of volatility. If you would invest 246.00 in Data IO on September 17, 2024 and sell it today you would earn a total of 37.00 from holding Data IO or generate 15.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SigmaTron International vs. Data IO
Performance |
Timeline |
SigmaTron International |
Data IO |
SigmaTron International and Data IO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SigmaTron International and Data IO
The main advantage of trading using opposite SigmaTron International and Data IO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SigmaTron International position performs unexpectedly, Data IO 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 Data IO will offset losses from the drop in Data IO's long position.SigmaTron International vs. IONQ Inc | SigmaTron International vs. Quantum | SigmaTron International vs. Super Micro Computer | SigmaTron International vs. Red Cat Holdings |
Data IO vs. Maris Tech | Data IO vs. CTS Corporation | Data IO vs. Cps Technologies | Data IO vs. Micropac Industries |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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