Correlation Between NYSE Composite and Oxford Biomedica

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Oxford Biomedica 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 NYSE Composite and Oxford Biomedica into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NYSE Composite and Oxford Biomedica plc, you can compare the effects of market volatilities on NYSE Composite and Oxford Biomedica 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 NYSE Composite with a short position of Oxford Biomedica. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Oxford Biomedica.

Diversification Opportunities for NYSE Composite and Oxford Biomedica

0.38

Correlation Coefficient

NYSE Composite  Oxford Biomedica

Weak diversification

The 3 months correlation between NYSE and Oxford is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Oxford Biomedica plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxford Biomedica plc and NYSE Composite 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 NYSE Composite are associated (or correlated) with Oxford Biomedica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxford Biomedica plc has no effect on the direction of NYSE Composite i.e., NYSE Composite and Oxford Biomedica go up and down completely randomly.

Pair Corralation between NYSE Composite and Oxford Biomedica

Assuming the 90 days trading horizon NYSE Composite is expected to generate 12.93 times less return on investment than Oxford Biomedica. But when comparing it to its historical volatility, NYSE Composite is 8.41 times less risky than Oxford Biomedica. It trades about 0.13 of its potential returns per unit of risk. Oxford Biomedica plc is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest  230.00  in Oxford Biomedica plc on February 15, 2024 and sell it today you would earn a total of  156.00  from holding Oxford Biomedica plc or generate 67.83% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

NYSE Composite  vs.  Oxford Biomedica plc

Pair Trading with NYSE Composite and Oxford Biomedica

The main advantage of trading using opposite NYSE Composite and Oxford Biomedica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Oxford Biomedica 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 Biomedica will offset losses from the drop in Oxford Biomedica's long position.

The idea behind NYSE Composite and Oxford Biomedica plc pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.