Correlation Between LOOM and Astar

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

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

Diversification Opportunities for LOOM and Astar

0.93

Correlation Coefficient

LOOM  Astar

Almost no diversification

The 3 months correlation between LOOM and Astar is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding LOOM and Astar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Astar and LOOM 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 LOOM are associated (or correlated) with Astar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Astar has no effect on the direction of LOOM i.e., LOOM and Astar go up and down completely randomly.

Pair Corralation between LOOM and Astar

Assuming the 90 days trading horizon LOOM is expected to under-perform the Astar. In addition to that, LOOM is 1.52 times more volatile than Astar. It trades about -0.13 of its total potential returns per unit of risk. Astar is currently generating about -0.19 per unit of volatility. If you would invest  5.89  in Astar on December 29, 2024 and sell it today you would lose (2.90) from holding Astar or give up 49.24% of portfolio value over 90 days.

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

LOOM  vs.  Astar

LOOM

Risk-Adjusted Performance

Very Weak

Over the last 90 days LOOM 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 fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for LOOM shareholders.

Astar

Risk-Adjusted Performance

Very Weak

Over the last 90 days Astar 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 fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Astar shareholders.

Pair Trading with LOOM and Astar

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

The idea behind LOOM and Astar 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.