Correlation Between UniCredit SpA and Lloyds Banking
Can any of the company-specific risk be diversified away by investing in both UniCredit SpA and Lloyds Banking 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 UniCredit SpA and Lloyds Banking into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UniCredit SpA and Lloyds Banking Group, you can compare the effects of market volatilities on UniCredit SpA and Lloyds Banking 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 UniCredit SpA with a short position of Lloyds Banking. Check out your portfolio center. Please also check ongoing floating volatility patterns of UniCredit SpA and Lloyds Banking.
Diversification Opportunities for UniCredit SpA and Lloyds Banking
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between UniCredit and Lloyds is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding UniCredit SpA and Lloyds Banking Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lloyds Banking Group and UniCredit SpA 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 UniCredit SpA are associated (or correlated) with Lloyds Banking. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lloyds Banking Group has no effect on the direction of UniCredit SpA i.e., UniCredit SpA and Lloyds Banking go up and down completely randomly.
Pair Corralation between UniCredit SpA and Lloyds Banking
Assuming the 90 days trading horizon UniCredit SpA is expected to generate 0.83 times more return on investment than Lloyds Banking. However, UniCredit SpA is 1.2 times less risky than Lloyds Banking. It trades about 0.11 of its potential returns per unit of risk. Lloyds Banking Group is currently generating about 0.07 per unit of risk. If you would invest 2,289 in UniCredit SpA on September 23, 2024 and sell it today you would earn a total of 1,486 from holding UniCredit SpA or generate 64.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
UniCredit SpA vs. Lloyds Banking Group
Performance |
Timeline |
UniCredit SpA |
Lloyds Banking Group |
UniCredit SpA and Lloyds Banking Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UniCredit SpA and Lloyds Banking
The main advantage of trading using opposite UniCredit SpA and Lloyds Banking positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UniCredit SpA position performs unexpectedly, Lloyds Banking 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 Lloyds Banking will offset losses from the drop in Lloyds Banking's long position.UniCredit SpA vs. BNP Paribas SA | UniCredit SpA vs. BNP PARIBAS ADR | UniCredit SpA vs. Intesa Sanpaolo SpA | UniCredit SpA vs. Lloyds Banking Group |
Lloyds Banking vs. BNP Paribas SA | Lloyds Banking vs. BNP PARIBAS ADR | Lloyds Banking vs. Intesa Sanpaolo SpA | Lloyds Banking vs. Lloyds Banking Group |
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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