Correlation Between Oppenheimer Rochester and New York
Can any of the company-specific risk be diversified away by investing in both Oppenheimer Rochester and New York 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 Oppenheimer Rochester and New York into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oppenheimer Rochester and New York Tax Free, you can compare the effects of market volatilities on Oppenheimer Rochester and New York 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 Oppenheimer Rochester with a short position of New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oppenheimer Rochester and New York.
Diversification Opportunities for Oppenheimer Rochester and New York
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Oppenheimer and New is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Oppenheimer Rochester and New York Tax Free in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New York Tax and Oppenheimer Rochester 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 Oppenheimer Rochester are associated (or correlated) with New York. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New York Tax has no effect on the direction of Oppenheimer Rochester i.e., Oppenheimer Rochester and New York go up and down completely randomly.
Pair Corralation between Oppenheimer Rochester and New York
Assuming the 90 days horizon Oppenheimer Rochester is expected to under-perform the New York. In addition to that, Oppenheimer Rochester is 1.4 times more volatile than New York Tax Free. It trades about -0.11 of its total potential returns per unit of risk. New York Tax Free is currently generating about -0.08 per unit of volatility. If you would invest 1,071 in New York Tax Free on December 31, 2024 and sell it today you would lose (15.00) from holding New York Tax Free or give up 1.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Oppenheimer Rochester vs. New York Tax Free
Performance |
Timeline |
Oppenheimer Rochester |
New York Tax |
Oppenheimer Rochester and New York Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oppenheimer Rochester and New York
The main advantage of trading using opposite Oppenheimer Rochester and New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oppenheimer Rochester position performs unexpectedly, New York 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 New York will offset losses from the drop in New York's long position.Oppenheimer Rochester vs. Opnhmr Rchstr Ltd | Oppenheimer Rochester vs. Oppenheimer Rochester High | Oppenheimer Rochester vs. Franklin New York | Oppenheimer Rochester vs. Oppenheimer Rchster Amt |
New York vs. New Jersey Tax Free | New York vs. T Rowe Price | New York vs. Virginia Tax Free Bond | New York vs. California Tax Free Bond |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Other Complementary Tools
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules |