Correlation Between NYSE Composite and Lindblad Expeditions

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

By analyzing existing cross correlation between NYSE Composite and Lindblad Expeditions Holdings, you can compare the effects of market volatilities on NYSE Composite and Lindblad Expeditions 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 Lindblad Expeditions. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Lindblad Expeditions.

Diversification Opportunities for NYSE Composite and Lindblad Expeditions

0.66

Correlation Coefficient

NYSE Composite  Lindblad Expeditions

Poor diversification

The 3 months correlation between NYSE and Lindblad is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Lindblad Expeditions Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lindblad Expeditions 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 Lindblad Expeditions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lindblad Expeditions has no effect on the direction of NYSE Composite i.e., NYSE Composite and Lindblad Expeditions go up and down completely randomly.

Pair Corralation between NYSE Composite and Lindblad Expeditions

Assuming the 90 days trading horizon NYSE Composite is expected to generate 5.9 times less return on investment than Lindblad Expeditions. But when comparing it to its historical volatility, NYSE Composite is 7.33 times less risky than Lindblad Expeditions. It trades about 0.17 of its potential returns per unit of risk. Lindblad Expeditions Holdings is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  954.00  in Lindblad Expeditions Holdings on September 2, 2024 and sell it today you would earn a total of  372.00  from holding Lindblad Expeditions Holdings or generate 38.99% return on investment over 90 days.

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

NYSE Composite  vs.  Lindblad Expeditions Holdings

Pair Trading with NYSE Composite and Lindblad Expeditions

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

The idea behind NYSE Composite and Lindblad Expeditions Holdings 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.