Correlation Between Gloria Material and Aker Technology
Can any of the company-specific risk be diversified away by investing in both Gloria Material and Aker 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 Gloria Material and Aker Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gloria Material Technology and Aker Technology Co, you can compare the effects of market volatilities on Gloria Material and Aker 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 Gloria Material with a short position of Aker Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gloria Material and Aker Technology.
Diversification Opportunities for Gloria Material and Aker Technology
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gloria and Aker is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Gloria Material Technology and Aker Technology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aker Technology and Gloria Material 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 Gloria Material Technology are associated (or correlated) with Aker Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aker Technology has no effect on the direction of Gloria Material i.e., Gloria Material and Aker Technology go up and down completely randomly.
Pair Corralation between Gloria Material and Aker Technology
Assuming the 90 days trading horizon Gloria Material Technology is expected to generate 0.53 times more return on investment than Aker Technology. However, Gloria Material Technology is 1.9 times less risky than Aker Technology. It trades about 0.1 of its potential returns per unit of risk. Aker Technology Co is currently generating about -0.07 per unit of risk. If you would invest 4,540 in Gloria Material Technology on December 23, 2024 and sell it today you would earn a total of 265.00 from holding Gloria Material Technology or generate 5.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gloria Material Technology vs. Aker Technology Co
Performance |
Timeline |
Gloria Material Tech |
Aker Technology |
Gloria Material and Aker Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gloria Material and Aker Technology
The main advantage of trading using opposite Gloria Material and Aker Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gloria Material position performs unexpectedly, Aker 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 Aker Technology will offset losses from the drop in Aker Technology's long position.Gloria Material vs. Thunder Tiger Corp | Gloria Material vs. Synmosa Biopharma | Gloria Material vs. Taiwan Glass Ind | Gloria Material vs. Tong Tai Machine Tool |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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