Correlation Between Citigroup and Ivy Balanced
Can any of the company-specific risk be diversified away by investing in both Citigroup and Ivy Balanced 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 Citigroup and Ivy Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Ivy Balanced Fund, you can compare the effects of market volatilities on Citigroup and Ivy Balanced 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 Citigroup with a short position of Ivy Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Ivy Balanced.
Diversification Opportunities for Citigroup and Ivy Balanced
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Citigroup and Ivy is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Ivy Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ivy Balanced and Citigroup 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 Citigroup are associated (or correlated) with Ivy Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ivy Balanced has no effect on the direction of Citigroup i.e., Citigroup and Ivy Balanced go up and down completely randomly.
Pair Corralation between Citigroup and Ivy Balanced
Taking into account the 90-day investment horizon Citigroup is expected to generate 3.38 times more return on investment than Ivy Balanced. However, Citigroup is 3.38 times more volatile than Ivy Balanced Fund. It trades about 0.12 of its potential returns per unit of risk. Ivy Balanced Fund is currently generating about 0.02 per unit of risk. If you would invest 6,205 in Citigroup on September 30, 2024 and sell it today you would earn a total of 895.00 from holding Citigroup or generate 14.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Citigroup vs. Ivy Balanced Fund
Performance |
Timeline |
Citigroup |
Ivy Balanced |
Citigroup and Ivy Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and Ivy Balanced
The main advantage of trading using opposite Citigroup and Ivy Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Ivy Balanced 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 Ivy Balanced will offset losses from the drop in Ivy Balanced's long position.The idea behind Citigroup and Ivy Balanced Fund pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Ivy Balanced vs. Ivy Large Cap | Ivy Balanced vs. Ivy Small Cap | Ivy Balanced vs. Ivy High Income | Ivy Balanced vs. Ivy Apollo Multi Asset |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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