Correlation Between New York and Virtus AllianzGI
Can any of the company-specific risk be diversified away by investing in both New York and Virtus AllianzGI 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 New York and Virtus AllianzGI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New York Mortgage and Virtus AllianzGI Convertible, you can compare the effects of market volatilities on New York and Virtus AllianzGI 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 New York with a short position of Virtus AllianzGI. Check out your portfolio center. Please also check ongoing floating volatility patterns of New York and Virtus AllianzGI.
Diversification Opportunities for New York and Virtus AllianzGI
-0.88 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between New and Virtus is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding New York Mortgage and Virtus AllianzGI Convertible in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Virtus AllianzGI Con and New York 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 New York Mortgage are associated (or correlated) with Virtus AllianzGI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Virtus AllianzGI Con has no effect on the direction of New York i.e., New York and Virtus AllianzGI go up and down completely randomly.
Pair Corralation between New York and Virtus AllianzGI
Assuming the 90 days horizon New York Mortgage is expected to generate 0.83 times more return on investment than Virtus AllianzGI. However, New York Mortgage is 1.21 times less risky than Virtus AllianzGI. It trades about 0.14 of its potential returns per unit of risk. Virtus AllianzGI Convertible is currently generating about 0.04 per unit of risk. If you would invest 1,998 in New York Mortgage on October 1, 2024 and sell it today you would earn a total of 510.00 from holding New York Mortgage or generate 25.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
New York Mortgage vs. Virtus AllianzGI Convertible
Performance |
Timeline |
New York Mortgage |
Virtus AllianzGI Con |
New York and Virtus AllianzGI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New York and Virtus AllianzGI
The main advantage of trading using opposite New York and Virtus AllianzGI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New York position performs unexpectedly, Virtus AllianzGI 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 Virtus AllianzGI will offset losses from the drop in Virtus AllianzGI's long position.New York vs. Annaly Capital Management | New York vs. AGNC Investment Corp | New York vs. MFA Financial | New York vs. Two Harbors Investment |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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