Correlation Between Digilife Technologies and ALLEGROEU
Can any of the company-specific risk be diversified away by investing in both Digilife Technologies and ALLEGROEU 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 Digilife Technologies and ALLEGROEU into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Digilife Technologies Limited and ALLEGROEU ZY 01, you can compare the effects of market volatilities on Digilife Technologies and ALLEGROEU 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 Digilife Technologies with a short position of ALLEGROEU. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digilife Technologies and ALLEGROEU.
Diversification Opportunities for Digilife Technologies and ALLEGROEU
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Digilife and ALLEGROEU is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Digilife Technologies Limited and ALLEGROEU ZY 01 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALLEGROEU ZY 01 and Digilife Technologies 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 Digilife Technologies Limited are associated (or correlated) with ALLEGROEU. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALLEGROEU ZY 01 has no effect on the direction of Digilife Technologies i.e., Digilife Technologies and ALLEGROEU go up and down completely randomly.
Pair Corralation between Digilife Technologies and ALLEGROEU
Assuming the 90 days trading horizon Digilife Technologies Limited is expected to under-perform the ALLEGROEU. In addition to that, Digilife Technologies is 2.48 times more volatile than ALLEGROEU ZY 01. It trades about -0.06 of its total potential returns per unit of risk. ALLEGROEU ZY 01 is currently generating about 0.01 per unit of volatility. If you would invest 624.00 in ALLEGROEU ZY 01 on October 21, 2024 and sell it today you would earn a total of 1.00 from holding ALLEGROEU ZY 01 or generate 0.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Digilife Technologies Limited vs. ALLEGROEU ZY 01
Performance |
Timeline |
Digilife Technologies |
ALLEGROEU ZY 01 |
Digilife Technologies and ALLEGROEU Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digilife Technologies and ALLEGROEU
The main advantage of trading using opposite Digilife Technologies and ALLEGROEU positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digilife Technologies position performs unexpectedly, ALLEGROEU 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 ALLEGROEU will offset losses from the drop in ALLEGROEU's long position.Digilife Technologies vs. PennantPark Investment | Digilife Technologies vs. FIRST SAVINGS FINL | Digilife Technologies vs. Rayonier Advanced Materials | Digilife Technologies vs. MidCap Financial Investment |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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