Correlation Between Cref Inflation-linked and Ab New
Can any of the company-specific risk be diversified away by investing in both Cref Inflation-linked and Ab New 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 Cref Inflation-linked and Ab New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cref Inflation Linked Bond and Ab New York, you can compare the effects of market volatilities on Cref Inflation-linked and Ab New 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 Cref Inflation-linked with a short position of Ab New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cref Inflation-linked and Ab New.
Diversification Opportunities for Cref Inflation-linked and Ab New
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Cref and ALNYX is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Cref Inflation Linked Bond and Ab New York in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab New York and Cref Inflation-linked 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 Cref Inflation Linked Bond are associated (or correlated) with Ab New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab New York has no effect on the direction of Cref Inflation-linked i.e., Cref Inflation-linked and Ab New go up and down completely randomly.
Pair Corralation between Cref Inflation-linked and Ab New
Assuming the 90 days trading horizon Cref Inflation Linked Bond is expected to generate 1.1 times more return on investment than Ab New. However, Cref Inflation-linked is 1.1 times more volatile than Ab New York. It trades about 0.06 of its potential returns per unit of risk. Ab New York is currently generating about 0.04 per unit of risk. If you would invest 7,941 in Cref Inflation Linked Bond on October 25, 2024 and sell it today you would earn a total of 594.00 from holding Cref Inflation Linked Bond or generate 7.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Cref Inflation Linked Bond vs. Ab New York
Performance |
Timeline |
Cref Inflation Linked |
Ab New York |
Cref Inflation-linked and Ab New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cref Inflation-linked and Ab New
The main advantage of trading using opposite Cref Inflation-linked and Ab New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cref Inflation-linked position performs unexpectedly, Ab New 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 Ab New will offset losses from the drop in Ab New's long position.Cref Inflation-linked vs. Pace High Yield | Cref Inflation-linked vs. Buffalo High Yield | Cref Inflation-linked vs. Voya High Yield | Cref Inflation-linked vs. Prudential High Yield |
Ab New vs. Franklin New York | Ab New vs. Franklin New York | Ab New vs. Franklin New York | Ab New vs. Franklin New York |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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