Correlation Between Oslo Exchange and PCI Biotech

Can any of the company-specific risk be diversified away by investing in both Oslo Exchange and PCI Biotech 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 Oslo Exchange and PCI Biotech into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Oslo Exchange Mutual and PCI Biotech Holding, you can compare the effects of market volatilities on Oslo Exchange and PCI Biotech 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 Oslo Exchange with a short position of PCI Biotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oslo Exchange and PCI Biotech.

Diversification Opportunities for Oslo Exchange and PCI Biotech

-0.28

Correlation Coefficient

Oslo Exchange  PCI Biotech

Very good diversification

The 3 months correlation between Oslo and PCI is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Oslo Exchange Mutual and PCI Biotech Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PCI Biotech Holding and Oslo Exchange 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 Oslo Exchange Mutual are associated (or correlated) with PCI Biotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PCI Biotech Holding has no effect on the direction of Oslo Exchange i.e., Oslo Exchange and PCI Biotech go up and down completely randomly.

Pair Corralation between Oslo Exchange and PCI Biotech

Assuming the 90 days trading horizon Oslo Exchange is expected to generate 4.13 times less return on investment than PCI Biotech. But when comparing it to its historical volatility, Oslo Exchange Mutual is 9.44 times less risky than PCI Biotech. It trades about 0.06 of its potential returns per unit of risk. PCI Biotech Holding is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest  140.00  in PCI Biotech Holding on December 1, 2024 and sell it today you would earn a total of  0.00  from holding PCI Biotech Holding or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Oslo Exchange Mutual  vs.  PCI Biotech Holding

Pair Trading with Oslo Exchange and PCI Biotech

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

The idea behind Oslo Exchange Mutual and PCI Biotech Holding 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.