Correlation Between LRN and NXS

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

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

Diversification Opportunities for LRN and NXS

0.0

Correlation Coefficient

LRN  NXS

Pay attention - limited upside

The 3 months correlation between LRN and NXS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding LRN and NXS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NXS and LRN 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 LRN are associated (or correlated) with NXS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NXS has no effect on the direction of LRN i.e., LRN and NXS go up and down completely randomly.

Pair Corralation between LRN and NXS

Assuming the 90 days trading horizon LRN is expected to generate 10.77 times less return on investment than NXS. In addition to that, LRN is 2.45 times more volatile than NXS. It trades about 0.01 of its total potential returns per unit of risk. NXS is currently generating about 0.16 per unit of volatility. If you would invest  11.00  in NXS on February 7, 2024 and sell it today you would earn a total of  5.00  from holding NXS or generate 45.45% return on investment over 90 days.

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

LRN  vs.  NXS

LRN

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days LRN has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, LRN is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

NXS

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in NXS are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, NXS exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with LRN and NXS

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

The idea behind LRN and NXS 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.

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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.