Correlation Between LRN and XMX

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

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

Diversification Opportunities for LRN and XMX

0.17

Correlation Coefficient

LRN  XMX

Average diversification

The 3 months correlation between LRN and XMX is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding LRN and XMX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XMX 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 XMX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XMX has no effect on the direction of LRN i.e., LRN and XMX go up and down completely randomly.

Pair Corralation between LRN and XMX

Assuming the 90 days trading horizon LRN is expected to generate 1.85 times more return on investment than XMX. However, LRN is 1.85 times more volatile than XMX. It trades about -0.05 of its potential returns per unit of risk. XMX is currently generating about -0.18 per unit of risk. If you would invest  0.59  in LRN on January 30, 2024 and sell it today you would lose (0.10) from holding LRN or give up 16.87% of portfolio value over 90 days.

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

LRN  vs.  XMX

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 unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in May 2024. The latest tumult may also be a sign of longer-term up-swing for LRN shareholders.

XMX

Risk-Adjusted Performance

12 of 100

Good

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

Pair Trading with LRN and XMX

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

The idea behind LRN and XMX 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.