Correlation Between DWS Municipal and Oxford Lane
Can any of the company-specific risk be diversified away by investing in both DWS Municipal and Oxford Lane 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 DWS Municipal and Oxford Lane into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DWS Municipal Income and Oxford Lane Capital, you can compare the effects of market volatilities on DWS Municipal and Oxford Lane 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 DWS Municipal with a short position of Oxford Lane. Check out your portfolio center. Please also check ongoing floating volatility patterns of DWS Municipal and Oxford Lane.
Diversification Opportunities for DWS Municipal and Oxford Lane
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between DWS and Oxford is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding DWS Municipal Income and Oxford Lane Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxford Lane Capital and DWS Municipal 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 DWS Municipal Income are associated (or correlated) with Oxford Lane. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxford Lane Capital has no effect on the direction of DWS Municipal i.e., DWS Municipal and Oxford Lane go up and down completely randomly.
Pair Corralation between DWS Municipal and Oxford Lane
Considering the 90-day investment horizon DWS Municipal Income is expected to under-perform the Oxford Lane. In addition to that, DWS Municipal is 1.96 times more volatile than Oxford Lane Capital. It trades about -0.02 of its total potential returns per unit of risk. Oxford Lane Capital is currently generating about 0.17 per unit of volatility. If you would invest 2,237 in Oxford Lane Capital on December 19, 2024 and sell it today you would earn a total of 59.00 from holding Oxford Lane Capital or generate 2.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DWS Municipal Income vs. Oxford Lane Capital
Performance |
Timeline |
DWS Municipal Income |
Oxford Lane Capital |
DWS Municipal and Oxford Lane Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DWS Municipal and Oxford Lane
The main advantage of trading using opposite DWS Municipal and Oxford Lane positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DWS Municipal position performs unexpectedly, Oxford Lane 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 Oxford Lane will offset losses from the drop in Oxford Lane's long position.DWS Municipal vs. DTF Tax Free | DWS Municipal vs. Blackrock Muniyield Quality | DWS Municipal vs. Blackrock Muniholdings Quality | DWS Municipal vs. John Hancock Income |
Oxford Lane vs. Oxford Lane Capital | Oxford Lane vs. Oxford Lane Capital | Oxford Lane vs. The Gabelli Multimedia | Oxford Lane vs. The Gabelli Equity |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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