Correlation Between Oxford Lane and China Fund
Can any of the company-specific risk be diversified away by investing in both Oxford Lane and China Fund 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 China Fund 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 China Fund, you can compare the effects of market volatilities on Oxford Lane and China Fund 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 China Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oxford Lane and China Fund.
Diversification Opportunities for Oxford Lane and China Fund
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Oxford and China is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Oxford Lane Capital and China Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Fund 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 China Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Fund has no effect on the direction of Oxford Lane i.e., Oxford Lane and China Fund go up and down completely randomly.
Pair Corralation between Oxford Lane and China Fund
Given the investment horizon of 90 days Oxford Lane Capital is expected to generate 0.55 times more return on investment than China Fund. However, Oxford Lane Capital is 1.83 times less risky than China Fund. It trades about 0.08 of its potential returns per unit of risk. China Fund is currently generating about 0.03 per unit of risk. If you would invest 403.00 in Oxford Lane Capital on September 12, 2024 and sell it today you would earn a total of 121.50 from holding Oxford Lane Capital or generate 30.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.7% |
Values | Daily Returns |
Oxford Lane Capital vs. China Fund
Performance |
Timeline |
Oxford Lane Capital |
China Fund |
Oxford Lane and China Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oxford Lane and China Fund
The main advantage of trading using opposite Oxford Lane and China Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oxford Lane position performs unexpectedly, China Fund 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 China Fund will offset losses from the drop in China Fund'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 |
China Fund vs. Oxford Lane Capital | China Fund vs. Orchid Island Capital | China Fund vs. Guggenheim Strategic Opportunities | China Fund vs. Stone Harbor Emerging |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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