Correlation Between Oxford Lane and Voya Index
Can any of the company-specific risk be diversified away by investing in both Oxford Lane and Voya Index 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 Voya Index 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 Voya Index Solution, you can compare the effects of market volatilities on Oxford Lane and Voya Index 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 Voya Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oxford Lane and Voya Index.
Diversification Opportunities for Oxford Lane and Voya Index
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Oxford and Voya is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Oxford Lane Capital and Voya Index Solution in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voya Index Solution 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 Voya Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voya Index Solution has no effect on the direction of Oxford Lane i.e., Oxford Lane and Voya Index go up and down completely randomly.
Pair Corralation between Oxford Lane and Voya Index
Given the investment horizon of 90 days Oxford Lane Capital is expected to under-perform the Voya Index. In addition to that, Oxford Lane is 3.43 times more volatile than Voya Index Solution. It trades about -0.21 of its total potential returns per unit of risk. Voya Index Solution is currently generating about 0.25 per unit of volatility. If you would invest 1,864 in Voya Index Solution on May 6, 2025 and sell it today you would earn a total of 160.00 from holding Voya Index Solution or generate 8.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oxford Lane Capital vs. Voya Index Solution
Performance |
Timeline |
Oxford Lane Capital |
Voya Index Solution |
Oxford Lane and Voya Index Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oxford Lane and Voya Index
The main advantage of trading using opposite Oxford Lane and Voya Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oxford Lane position performs unexpectedly, Voya Index 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 Voya Index will offset losses from the drop in Voya Index's long position.Oxford Lane vs. Cornerstone Strategic Value | Oxford Lane vs. Cornerstone Strategic Return | Oxford Lane vs. Eagle Point Credit | Oxford Lane vs. Guggenheim Strategic Opportunities |
Voya Index vs. Ab Global Risk | Voya Index vs. Legg Mason Global | Voya Index vs. Morgan Stanley Global | Voya Index vs. Morningstar Global Income |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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