Correlation Between Itau Unibanco and Lewis Clark
Can any of the company-specific risk be diversified away by investing in both Itau Unibanco and Lewis Clark 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 Itau Unibanco and Lewis Clark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Itau Unibanco Banco and Lewis Clark Bancorp, you can compare the effects of market volatilities on Itau Unibanco and Lewis Clark 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 Itau Unibanco with a short position of Lewis Clark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Itau Unibanco and Lewis Clark.
Diversification Opportunities for Itau Unibanco and Lewis Clark
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Itau and Lewis is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Itau Unibanco Banco and Lewis Clark Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lewis Clark Bancorp and Itau Unibanco 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 Itau Unibanco Banco are associated (or correlated) with Lewis Clark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lewis Clark Bancorp has no effect on the direction of Itau Unibanco i.e., Itau Unibanco and Lewis Clark go up and down completely randomly.
Pair Corralation between Itau Unibanco and Lewis Clark
Given the investment horizon of 90 days Itau Unibanco Banco is expected to under-perform the Lewis Clark. In addition to that, Itau Unibanco is 2.8 times more volatile than Lewis Clark Bancorp. It trades about -0.26 of its total potential returns per unit of risk. Lewis Clark Bancorp is currently generating about 0.0 per unit of volatility. If you would invest 3,000 in Lewis Clark Bancorp on September 22, 2024 and sell it today you would earn a total of 0.00 from holding Lewis Clark Bancorp or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Itau Unibanco Banco vs. Lewis Clark Bancorp
Performance |
Timeline |
Itau Unibanco Banco |
Lewis Clark Bancorp |
Itau Unibanco and Lewis Clark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Itau Unibanco and Lewis Clark
The main advantage of trading using opposite Itau Unibanco and Lewis Clark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Itau Unibanco position performs unexpectedly, Lewis Clark 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 Lewis Clark will offset losses from the drop in Lewis Clark's long position.Itau Unibanco vs. Grupo Financiero Galicia | Itau Unibanco vs. Banco Macro SA | Itau Unibanco vs. Banco Santander Brasil | Itau Unibanco vs. Lloyds Banking Group |
Lewis Clark vs. Banco Bradesco SA | Lewis Clark vs. Itau Unibanco Banco | Lewis Clark vs. Lloyds Banking Group | Lewis Clark vs. Deutsche Bank AG |
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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