Correlation Between Microsoft and BMO High

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

By analyzing existing cross correlation between Microsoft and BMO High Yield, you can compare the effects of market volatilities on Microsoft and BMO High 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 BMO High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and BMO High.

Diversification Opportunities for Microsoft and BMO High

-0.12

Correlation Coefficient

Microsoft  BMO High

Good diversification

The 3 months correlation between Microsoft and BMO is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and BMO High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO High Yield 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 BMO High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO High Yield has no effect on the direction of Microsoft i.e., Microsoft and BMO High go up and down completely randomly.

Pair Corralation between Microsoft and BMO High

Given the investment horizon of 90 days Microsoft is expected to under-perform the BMO High. In addition to that, Microsoft is 3.84 times more volatile than BMO High Yield. It trades about -0.11 of its total potential returns per unit of risk. BMO High Yield is currently generating about 0.02 per unit of volatility. If you would invest  1,099  in BMO High Yield on December 29, 2024 and sell it today you would earn a total of  4.00  from holding BMO High Yield or generate 0.36% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	96.83%
Values	Daily Returns

Microsoft  vs.  BMO High Yield

Microsoft

Risk-Adjusted Performance

Very Weak

Over the last 90 days Microsoft has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest abnormal performance, the Stock's technical and fundamental indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

BMO High Yield

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in BMO High Yield are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy basic indicators, BMO High is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with Microsoft and BMO High

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

The idea behind Microsoft and BMO High Yield 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.