Correlation Between DATAGROUP and BOSTON BEER

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

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

Diversification Opportunities for DATAGROUP and BOSTON BEER

0.21

Correlation Coefficient

DATAGROUP  BOSTON BEER

Modest diversification

The 3 months correlation between DATAGROUP and BOSTON is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and BOSTON BEER A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BOSTON BEER A and DATAGROUP 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 DATAGROUP SE are associated (or correlated) with BOSTON BEER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BOSTON BEER A has no effect on the direction of DATAGROUP i.e., DATAGROUP and BOSTON BEER go up and down completely randomly.

Pair Corralation between DATAGROUP and BOSTON BEER

Assuming the 90 days trading horizon DATAGROUP SE is expected to generate 1.03 times more return on investment than BOSTON BEER. However, DATAGROUP is 1.03 times more volatile than BOSTON BEER A . It trades about -0.03 of its potential returns per unit of risk. BOSTON BEER A is currently generating about -0.04 per unit of risk. If you would invest  6,673  in DATAGROUP SE on October 25, 2024 and sell it today you would lose (2,353) from holding DATAGROUP SE or give up 35.26% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	99.8%
Values	Daily Returns

DATAGROUP SE  vs.  BOSTON BEER A

DATAGROUP SE

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical indicators, DATAGROUP is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

BOSTON BEER A

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days BOSTON BEER A has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's technical and fundamental indicators remain rather sound which may send shares a bit higher in February 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

Pair Trading with DATAGROUP and BOSTON BEER

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

The idea behind DATAGROUP SE and BOSTON BEER A 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.