Correlation Between XAI Octagon and Oxford Lane
Can any of the company-specific risk be diversified away by investing in both XAI Octagon 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 XAI Octagon and Oxford Lane into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XAI Octagon Floating and Oxford Lane Capital, you can compare the effects of market volatilities on XAI Octagon 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 XAI Octagon with a short position of Oxford Lane. Check out your portfolio center. Please also check ongoing floating volatility patterns of XAI Octagon and Oxford Lane.
Diversification Opportunities for XAI Octagon and Oxford Lane
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between XAI and Oxford is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding XAI Octagon Floating 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 XAI Octagon 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 XAI Octagon Floating 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 XAI Octagon i.e., XAI Octagon and Oxford Lane go up and down completely randomly.
Pair Corralation between XAI Octagon and Oxford Lane
Given the investment horizon of 90 days XAI Octagon Floating is expected to under-perform the Oxford Lane. But the stock apears to be less risky and, when comparing its historical volatility, XAI Octagon Floating is 1.83 times less risky than Oxford Lane. The stock trades about -0.13 of its potential returns per unit of risk. The Oxford Lane Capital is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 484.00 in Oxford Lane Capital on December 27, 2024 and sell it today you would lose (23.00) from holding Oxford Lane Capital or give up 4.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
XAI Octagon Floating vs. Oxford Lane Capital
Performance |
Timeline |
XAI Octagon Floating |
Oxford Lane Capital |
XAI Octagon and Oxford Lane Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XAI Octagon and Oxford Lane
The main advantage of trading using opposite XAI Octagon and Oxford Lane positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XAI Octagon 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.XAI Octagon vs. Oxford Lane Capital | XAI Octagon vs. Capital Southwest | XAI Octagon vs. Cornerstone Strategic Return | XAI Octagon vs. Cornerstone Strategic Value |
Oxford Lane vs. Capital Southwest | Oxford Lane vs. XAI Octagon Floating | Oxford Lane vs. Cornerstone Strategic Return | Oxford Lane vs. Cornerstone Strategic Value |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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