Correlation Between DATA MODUL and Berkshire Hathaway

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

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

Diversification Opportunities for DATA MODUL and Berkshire Hathaway

0.08

Correlation Coefficient

DATA MODUL  Berkshire Hathaway

Significant diversification

The 3 months correlation between DATA and Berkshire is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding DATA MODUL and Berkshire Hathaway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkshire Hathaway and DATA MODUL 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 DATA MODUL are associated (or correlated) with Berkshire Hathaway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berkshire Hathaway has no effect on the direction of DATA MODUL i.e., DATA MODUL and Berkshire Hathaway go up and down completely randomly.

Pair Corralation between DATA MODUL and Berkshire Hathaway

Assuming the 90 days trading horizon DATA MODUL is expected to under-perform the Berkshire Hathaway. In addition to that, DATA MODUL is 3.37 times more volatile than Berkshire Hathaway. It trades about -0.04 of its total potential returns per unit of risk. Berkshire Hathaway is currently generating about -0.1 per unit of volatility. If you would invest  66,150,000  in Berkshire Hathaway on October 10, 2024 and sell it today you would lose (900,000) from holding Berkshire Hathaway or give up 1.36% of portfolio value over 90 days.

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

DATA MODUL   vs.  Berkshire Hathaway

DATA MODUL

Risk-Adjusted Performance

1 of 100

Weak

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

Berkshire Hathaway

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Berkshire Hathaway are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Berkshire Hathaway reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with DATA MODUL and Berkshire Hathaway

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

The idea behind DATA MODUL and Berkshire Hathaway 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.