Correlation Between Integrated Micro and SM Investments
Can any of the company-specific risk be diversified away by investing in both Integrated Micro and SM Investments 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 Integrated Micro and SM Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Integrated Micro Electronics and SM Investments Corp, you can compare the effects of market volatilities on Integrated Micro and SM Investments 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 Integrated Micro with a short position of SM Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integrated Micro and SM Investments.
Diversification Opportunities for Integrated Micro and SM Investments
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Integrated and SM Investments is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Integrated Micro Electronics and SM Investments Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SM Investments Corp and Integrated Micro 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 Integrated Micro Electronics are associated (or correlated) with SM Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SM Investments Corp has no effect on the direction of Integrated Micro i.e., Integrated Micro and SM Investments go up and down completely randomly.
Pair Corralation between Integrated Micro and SM Investments
Assuming the 90 days trading horizon Integrated Micro Electronics is expected to under-perform the SM Investments. In addition to that, Integrated Micro is 1.47 times more volatile than SM Investments Corp. It trades about -0.03 of its total potential returns per unit of risk. SM Investments Corp is currently generating about 0.04 per unit of volatility. If you would invest 83,600 in SM Investments Corp on September 19, 2024 and sell it today you would earn a total of 5,400 from holding SM Investments Corp or generate 6.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Integrated Micro Electronics vs. SM Investments Corp
Performance |
Timeline |
Integrated Micro Ele |
SM Investments Corp |
Integrated Micro and SM Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Integrated Micro and SM Investments
The main advantage of trading using opposite Integrated Micro and SM Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Integrated Micro position performs unexpectedly, SM Investments 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 SM Investments will offset losses from the drop in SM Investments' long position.Integrated Micro vs. Dizon Copper Silver | Integrated Micro vs. GT Capital Holdings | Integrated Micro vs. Allhome Corp | Integrated Micro vs. Jollibee Foods Corp |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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