Correlation Between Near and LOOM

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

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

Diversification Opportunities for Near and LOOM

0.92

Correlation Coefficient

Near  LOOM

Almost no diversification

The 3 months correlation between Near and LOOM is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Near and LOOM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LOOM and Near 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 Near are associated (or correlated) with LOOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LOOM has no effect on the direction of Near i.e., Near and LOOM go up and down completely randomly.

Pair Corralation between Near and LOOM

Assuming the 90 days trading horizon Near is expected to under-perform the LOOM. But the crypto coin apears to be less risky and, when comparing its historical volatility, Near is 1.2 times less risky than LOOM. The crypto coin trades about -0.18 of its potential returns per unit of risk. The LOOM is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest  7.87  in LOOM on December 1, 2024 and sell it today you would lose (3.43) from holding LOOM or give up 43.58% of portfolio value over 90 days.

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

Near  vs.  LOOM

Near

Risk-Adjusted Performance

Very Weak

Over the last 90 days Near 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 Near shareholders.

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.

Pair Trading with Near and LOOM

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

The idea behind Near and LOOM 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.