Correlation Between Oslo Exchange and Stolt Nielsen

Can any of the company-specific risk be diversified away by investing in both Oslo Exchange and Stolt Nielsen 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 Stolt Nielsen 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 Stolt Nielsen Limited, you can compare the effects of market volatilities on Oslo Exchange and Stolt Nielsen 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 Stolt Nielsen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oslo Exchange and Stolt Nielsen.

Diversification Opportunities for Oslo Exchange and Stolt Nielsen

-0.55

Correlation Coefficient

Oslo Exchange  Stolt Nielsen

Excellent diversification

The 3 months correlation between Oslo and Stolt is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Oslo Exchange Mutual and Stolt Nielsen Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stolt Nielsen Limited 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 Stolt Nielsen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stolt Nielsen Limited has no effect on the direction of Oslo Exchange i.e., Oslo Exchange and Stolt Nielsen go up and down completely randomly.

Pair Corralation between Oslo Exchange and Stolt Nielsen

Assuming the 90 days trading horizon Oslo Exchange Mutual is expected to generate 0.28 times more return on investment than Stolt Nielsen. However, Oslo Exchange Mutual is 3.56 times less risky than Stolt Nielsen. It trades about -0.17 of its potential returns per unit of risk. Stolt Nielsen Limited is currently generating about -0.11 per unit of risk. If you would invest  139,886  in Oslo Exchange Mutual on September 20, 2024 and sell it today you would lose (3,405) from holding Oslo Exchange Mutual or give up 2.43% of portfolio value over 90 days.

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

Oslo Exchange Mutual  vs.  Stolt Nielsen Limited

Pair Trading with Oslo Exchange and Stolt Nielsen

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

The idea behind Oslo Exchange Mutual and Stolt Nielsen Limited 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.