Correlation Between Gigasolar Materials and Wafer Works
Can any of the company-specific risk be diversified away by investing in both Gigasolar Materials and Wafer Works 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 Gigasolar Materials and Wafer Works into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gigasolar Materials and Wafer Works, you can compare the effects of market volatilities on Gigasolar Materials and Wafer Works 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 Gigasolar Materials with a short position of Wafer Works. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gigasolar Materials and Wafer Works.
Diversification Opportunities for Gigasolar Materials and Wafer Works
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gigasolar and Wafer is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Gigasolar Materials and Wafer Works in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wafer Works and Gigasolar Materials 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 Gigasolar Materials are associated (or correlated) with Wafer Works. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wafer Works has no effect on the direction of Gigasolar Materials i.e., Gigasolar Materials and Wafer Works go up and down completely randomly.
Pair Corralation between Gigasolar Materials and Wafer Works
Assuming the 90 days trading horizon Gigasolar Materials is expected to under-perform the Wafer Works. In addition to that, Gigasolar Materials is 1.13 times more volatile than Wafer Works. It trades about -0.19 of its total potential returns per unit of risk. Wafer Works is currently generating about -0.02 per unit of volatility. If you would invest 3,065 in Wafer Works on August 26, 2024 and sell it today you would lose (40.00) from holding Wafer Works or give up 1.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gigasolar Materials vs. Wafer Works
Performance |
Timeline |
Gigasolar Materials |
Wafer Works |
Gigasolar Materials and Wafer Works Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gigasolar Materials and Wafer Works
The main advantage of trading using opposite Gigasolar Materials and Wafer Works positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gigasolar Materials position performs unexpectedly, Wafer Works 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 Wafer Works will offset losses from the drop in Wafer Works' long position.Gigasolar Materials vs. Trade Van Information Services | Gigasolar Materials vs. Insyde Software | Gigasolar Materials vs. C Media Electronics | Gigasolar Materials vs. Formosa Chemicals Fibre |
Wafer Works vs. Sino American Silicon Products | Wafer Works vs. GlobalWafers Co | Wafer Works vs. Motech Industries Co | Wafer Works vs. Formosa Sumco Technology |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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