Correlation Between Bucharest BET-NG and Ropharma Bras

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

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

Diversification Opportunities for Bucharest BET-NG and Ropharma Bras

0.23

Correlation Coefficient

Bucharest BET-NG  Ropharma Bras

Modest diversification

The 3 months correlation between Bucharest and Ropharma is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Bucharest BET-NG and Ropharma Bras in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ropharma Bras and Bucharest BET-NG 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 Bucharest BET-NG are associated (or correlated) with Ropharma Bras. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ropharma Bras has no effect on the direction of Bucharest BET-NG i.e., Bucharest BET-NG and Ropharma Bras go up and down completely randomly.

Pair Corralation between Bucharest BET-NG and Ropharma Bras

Assuming the 90 days trading horizon Bucharest BET-NG is expected to generate 0.34 times more return on investment than Ropharma Bras. However, Bucharest BET-NG is 2.97 times less risky than Ropharma Bras. It trades about 0.02 of its potential returns per unit of risk. Ropharma Bras is currently generating about -0.05 per unit of risk. If you would invest  120,869  in Bucharest BET-NG on September 28, 2024 and sell it today you would earn a total of  517.00  from holding Bucharest BET-NG or generate 0.43% return on investment over 90 days.

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

Bucharest BET-NG  vs.  Ropharma Bras

Pair Trading with Bucharest BET-NG and Ropharma Bras

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

The idea behind Bucharest BET-NG and Ropharma Bras 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.