Correlation Between Gigastorage Corp and ThinTech Materials
Can any of the company-specific risk be diversified away by investing in both Gigastorage Corp and ThinTech Materials 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 Gigastorage Corp and ThinTech Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gigastorage Corp and ThinTech Materials Technology, you can compare the effects of market volatilities on Gigastorage Corp and ThinTech Materials 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 Gigastorage Corp with a short position of ThinTech Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gigastorage Corp and ThinTech Materials.
Diversification Opportunities for Gigastorage Corp and ThinTech Materials
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gigastorage and ThinTech is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Gigastorage Corp and ThinTech Materials Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ThinTech Materials and Gigastorage Corp 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 Gigastorage Corp are associated (or correlated) with ThinTech Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ThinTech Materials has no effect on the direction of Gigastorage Corp i.e., Gigastorage Corp and ThinTech Materials go up and down completely randomly.
Pair Corralation between Gigastorage Corp and ThinTech Materials
Assuming the 90 days trading horizon Gigastorage Corp is expected to generate 0.76 times more return on investment than ThinTech Materials. However, Gigastorage Corp is 1.32 times less risky than ThinTech Materials. It trades about -0.04 of its potential returns per unit of risk. ThinTech Materials Technology is currently generating about -0.11 per unit of risk. If you would invest 1,510 in Gigastorage Corp on December 25, 2024 and sell it today you would lose (80.00) from holding Gigastorage Corp or give up 5.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gigastorage Corp vs. ThinTech Materials Technology
Performance |
Timeline |
Gigastorage Corp |
ThinTech Materials |
Gigastorage Corp and ThinTech Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gigastorage Corp and ThinTech Materials
The main advantage of trading using opposite Gigastorage Corp and ThinTech Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gigastorage Corp position performs unexpectedly, ThinTech Materials 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 ThinTech Materials will offset losses from the drop in ThinTech Materials' long position.Gigastorage Corp vs. Arbor Technology | Gigastorage Corp vs. Shian Yih Electronic | Gigastorage Corp vs. WT Microelectronics Co | Gigastorage Corp vs. ADLINK Technology |
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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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