Correlation Between Digilife Technologies and LION ONE
Can any of the company-specific risk be diversified away by investing in both Digilife Technologies and LION ONE 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 LION ONE 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 LION ONE METALS, you can compare the effects of market volatilities on Digilife Technologies and LION ONE 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 LION ONE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digilife Technologies and LION ONE.
Diversification Opportunities for Digilife Technologies and LION ONE
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Digilife and LION is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Digilife Technologies Limited and LION ONE METALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LION ONE METALS 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 LION ONE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LION ONE METALS has no effect on the direction of Digilife Technologies i.e., Digilife Technologies and LION ONE go up and down completely randomly.
Pair Corralation between Digilife Technologies and LION ONE
Assuming the 90 days trading horizon Digilife Technologies Limited is expected to generate 1.02 times more return on investment than LION ONE. However, Digilife Technologies is 1.02 times more volatile than LION ONE METALS. It trades about -0.01 of its potential returns per unit of risk. LION ONE METALS is currently generating about -0.03 per unit of risk. If you would invest 138.00 in Digilife Technologies Limited on December 4, 2024 and sell it today you would lose (75.00) from holding Digilife Technologies Limited or give up 54.35% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.8% |
| Values | Daily Returns |
Digilife Technologies Limited vs. LION ONE METALS
Performance |
| Timeline |
| Digilife Technologies |
| LION ONE METALS |
Digilife Technologies and LION ONE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Digilife Technologies and LION ONE
The main advantage of trading using opposite Digilife Technologies and LION ONE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digilife Technologies position performs unexpectedly, LION ONE 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 LION ONE will offset losses from the drop in LION ONE's long position.| Digilife Technologies vs. ARDAGH METAL PACDL 0001 | Digilife Technologies vs. East Africa Metals | Digilife Technologies vs. Entravision Communications | Digilife Technologies vs. China Telecom |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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