Correlation Between MPI and Silitech Technology
Can any of the company-specific risk be diversified away by investing in both MPI and Silitech Technology 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 MPI and Silitech Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MPI Corporation and Silitech Technology Corp, you can compare the effects of market volatilities on MPI and Silitech Technology 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 MPI with a short position of Silitech Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of MPI and Silitech Technology.
Diversification Opportunities for MPI and Silitech Technology
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MPI and Silitech is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding MPI Corp. and Silitech Technology Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silitech Technology Corp and MPI 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 MPI Corporation are associated (or correlated) with Silitech Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silitech Technology Corp has no effect on the direction of MPI i.e., MPI and Silitech Technology go up and down completely randomly.
Pair Corralation between MPI and Silitech Technology
Assuming the 90 days trading horizon MPI Corporation is expected to generate 2.21 times more return on investment than Silitech Technology. However, MPI is 2.21 times more volatile than Silitech Technology Corp. It trades about 0.15 of its potential returns per unit of risk. Silitech Technology Corp is currently generating about 0.01 per unit of risk. If you would invest 11,139 in MPI Corporation on September 26, 2024 and sell it today you would earn a total of 75,261 from holding MPI Corporation or generate 675.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MPI Corp. vs. Silitech Technology Corp
Performance |
Timeline |
MPI Corporation |
Silitech Technology Corp |
MPI and Silitech Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MPI and Silitech Technology
The main advantage of trading using opposite MPI and Silitech Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MPI position performs unexpectedly, Silitech Technology 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 Silitech Technology will offset losses from the drop in Silitech Technology's long position.MPI vs. Sino American Silicon Products | MPI vs. Formosa Sumco Technology | MPI vs. Radiant Opto Electronics Corp | MPI vs. Faraday Technology Corp |
Silitech Technology vs. Ichia Technologies | Silitech Technology vs. Cheng Uei Precision | Silitech Technology vs. Gemtek Technology Co | Silitech Technology vs. Sunplus Technology Co |
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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