Correlation Between Blur and Near

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

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

Diversification Opportunities for Blur and Near

0.97

Correlation Coefficient

Blur  Near

Almost no diversification

The 3 months correlation between Blur and Near is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Blur and Near in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Near and Blur 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 Blur are associated (or correlated) with Near. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Near has no effect on the direction of Blur i.e., Blur and Near go up and down completely randomly.

Pair Corralation between Blur and Near

Assuming the 90 days trading horizon Blur is expected to under-perform the Near. But the crypto coin apears to be less risky and, when comparing its historical volatility, Blur is 1.02 times less risky than Near. The crypto coin trades about -0.17 of its potential returns per unit of risk. The Near is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest  490.00  in Near on December 29, 2024 and sell it today you would lose (217.00) from holding Near or give up 44.29% of portfolio value over 90 days.

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

Blur  vs.  Near

Blur

Risk-Adjusted Performance

Very Weak

Over the last 90 days Blur 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 Blur shareholders.

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.

Pair Trading with Blur and Near

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

The idea behind Blur and Near 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.