Correlation Between Blrc Sgy and New Economy

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

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

Diversification Opportunities for Blrc Sgy and New Economy

0.53

Correlation Coefficient

Blrc Sgy  New Economy

Very weak diversification

The 3 months correlation between Blrc and New is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Blrc Sgy Mnp and New Economy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Economy Fund and Blrc Sgy 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 Blrc Sgy Mnp are associated (or correlated) with New Economy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Economy Fund has no effect on the direction of Blrc Sgy i.e., Blrc Sgy and New Economy go up and down completely randomly.

Pair Corralation between Blrc Sgy and New Economy

Assuming the 90 days horizon Blrc Sgy Mnp is expected to generate 0.2 times more return on investment than New Economy. However, Blrc Sgy Mnp is 4.98 times less risky than New Economy. It trades about -0.05 of its potential returns per unit of risk. New Economy Fund is currently generating about -0.06 per unit of risk. If you would invest  1,062  in Blrc Sgy Mnp on October 10, 2024 and sell it today you would lose (10.00) from holding Blrc Sgy Mnp or give up 0.94% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.39%
Values	Daily Returns

Blrc Sgy Mnp  vs.  New Economy Fund

Blrc Sgy Mnp

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Blrc Sgy Mnp has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Blrc Sgy is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

New Economy Fund

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days New Economy Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental indicators, New Economy is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Blrc Sgy and New Economy

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

The idea behind Blrc Sgy Mnp and New Economy Fund 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.