Correlation Between Microsoft and BZAM

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

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

Diversification Opportunities for Microsoft and BZAM

0.07

Correlation Coefficient

Microsoft  BZAM

Significant diversification

The 3 months correlation between Microsoft and BZAM is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and BZAM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BZAM and Microsoft 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 Microsoft are associated (or correlated) with BZAM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BZAM has no effect on the direction of Microsoft i.e., Microsoft and BZAM go up and down completely randomly.

Pair Corralation between Microsoft and BZAM

Given the investment horizon of 90 days Microsoft is expected to generate 291.81 times less return on investment than BZAM. But when comparing it to its historical volatility, Microsoft is 144.53 times less risky than BZAM. It trades about 0.06 of its potential returns per unit of risk. BZAM is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  2.40  in BZAM on September 13, 2024 and sell it today you would lose (2.40) from holding BZAM or give up 100.0% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	98.41%
Values	Daily Returns

Microsoft  vs.  BZAM

Microsoft

Risk-Adjusted Performance

4 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, Microsoft is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

BZAM

Risk-Adjusted Performance

9 of 100

OK

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

Pair Trading with Microsoft and BZAM

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

The idea behind Microsoft and BZAM 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.