Correlation Between Oxford Lane and Nuveen Municipalome
Can any of the company-specific risk be diversified away by investing in both Oxford Lane and Nuveen Municipalome 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 Oxford Lane and Nuveen Municipalome into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oxford Lane Capital and Nuveen Municipalome, you can compare the effects of market volatilities on Oxford Lane and Nuveen Municipalome 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 Oxford Lane with a short position of Nuveen Municipalome. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oxford Lane and Nuveen Municipalome.
Diversification Opportunities for Oxford Lane and Nuveen Municipalome
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Oxford and Nuveen is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Oxford Lane Capital and Nuveen Municipalome in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nuveen Municipalome and Oxford Lane 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 Oxford Lane Capital are associated (or correlated) with Nuveen Municipalome. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nuveen Municipalome has no effect on the direction of Oxford Lane i.e., Oxford Lane and Nuveen Municipalome go up and down completely randomly.
Pair Corralation between Oxford Lane and Nuveen Municipalome
Given the investment horizon of 90 days Oxford Lane Capital is expected to generate 1.46 times more return on investment than Nuveen Municipalome. However, Oxford Lane is 1.46 times more volatile than Nuveen Municipalome. It trades about 0.11 of its potential returns per unit of risk. Nuveen Municipalome is currently generating about -0.19 per unit of risk. If you would invest 506.00 in Oxford Lane Capital on September 13, 2024 and sell it today you would earn a total of 19.00 from holding Oxford Lane Capital or generate 3.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Oxford Lane Capital vs. Nuveen Municipalome
Performance |
Timeline |
Oxford Lane Capital |
Nuveen Municipalome |
Oxford Lane and Nuveen Municipalome Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oxford Lane and Nuveen Municipalome
The main advantage of trading using opposite Oxford Lane and Nuveen Municipalome positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oxford Lane position performs unexpectedly, Nuveen Municipalome 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 Nuveen Municipalome will offset losses from the drop in Nuveen Municipalome's long position.Oxford Lane vs. Capital Southwest | Oxford Lane vs. XAI Octagon Floating | Oxford Lane vs. Cornerstone Strategic Return | Oxford Lane vs. Cornerstone Strategic Value |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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