Correlation Between PURA and LRN

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

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

Diversification Opportunities for PURA and LRN

0.1

Correlation Coefficient

PURA  LRN

Average diversification

The 3 months correlation between PURA and LRN is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding PURA and LRN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LRN and PURA 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 PURA are associated (or correlated) with LRN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LRN has no effect on the direction of PURA i.e., PURA and LRN go up and down completely randomly.

Pair Corralation between PURA and LRN

If you would invest  4.20  in PURA on January 25, 2024 and sell it today you would earn a total of  0.00  from holding PURA or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	4.55%
Values	Daily Returns

PURA  vs.  LRN

PURA

Risk-Adjusted Performance

0 of 100

Very Weak

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

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.

Pair Trading with PURA and LRN

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

The idea behind PURA and LRN 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.