Correlation Between Blrc Sgy and Dreyfus New

Can any of the company-specific risk be diversified away by investing in both Blrc Sgy and Dreyfus New 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 Dreyfus New 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 Dreyfus New York, you can compare the effects of market volatilities on Blrc Sgy and Dreyfus New 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 Dreyfus New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blrc Sgy and Dreyfus New.

Diversification Opportunities for Blrc Sgy and Dreyfus New

0.92

Correlation Coefficient

Blrc Sgy  Dreyfus New

Almost no diversification

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

Pair Corralation between Blrc Sgy and Dreyfus New

Assuming the 90 days horizon Blrc Sgy Mnp is expected to under-perform the Dreyfus New. In addition to that, Blrc Sgy is 1.1 times more volatile than Dreyfus New York. It trades about -0.03 of its total potential returns per unit of risk. Dreyfus New York is currently generating about -0.03 per unit of volatility. If you would invest  1,361  in Dreyfus New York on September 26, 2024 and sell it today you would lose (5.00) from holding Dreyfus New York or give up 0.37% of portfolio value over 90 days.

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

Blrc Sgy Mnp  vs.  Dreyfus New York

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.

Dreyfus New York

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Dreyfus New York has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong forward indicators, Dreyfus New 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 Dreyfus New

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

The idea behind Blrc Sgy Mnp and Dreyfus New York 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.