Correlation Between Oracle and BMO Growth

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

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

Diversification Opportunities for Oracle and BMO Growth

0.88

Correlation Coefficient

Oracle  BMO Growth

Very poor diversification

The 3 months correlation between Oracle and BMO is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and BMO Growth ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Growth ETF and Oracle 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 Oracle are associated (or correlated) with BMO Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Growth ETF has no effect on the direction of Oracle i.e., Oracle and BMO Growth go up and down completely randomly.

Pair Corralation between Oracle and BMO Growth

Given the investment horizon of 90 days Oracle is expected to generate 4.26 times more return on investment than BMO Growth. However, Oracle is 4.26 times more volatile than BMO Growth ETF. It trades about 0.16 of its potential returns per unit of risk. BMO Growth ETF is currently generating about 0.3 per unit of risk. If you would invest  16,102  in Oracle on September 12, 2024 and sell it today you would earn a total of  2,943  from holding Oracle or generate 18.28% return on investment over 90 days.

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

Oracle  vs.  BMO Growth ETF

Oracle

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite quite abnormal fundamental indicators, Oracle disclosed solid returns over the last few months and may actually be approaching a breakup point.

BMO Growth ETF

Risk-Adjusted Performance

23 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in BMO Growth ETF are ranked lower than 23 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, BMO Growth may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Oracle and BMO Growth

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

The idea behind Oracle and BMO Growth ETF 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..