Correlation Between Ethereum and BMO Low

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

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

Diversification Opportunities for Ethereum and BMO Low

-0.18

Correlation Coefficient

Ethereum  BMO Low

Good diversification

The 3 months correlation between Ethereum and BMO is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum and BMO Low Volatility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Low Volatility and Ethereum 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 Ethereum are associated (or correlated) with BMO Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Low Volatility has no effect on the direction of Ethereum i.e., Ethereum and BMO Low go up and down completely randomly.

Pair Corralation between Ethereum and BMO Low

Assuming the 90 days trading horizon Ethereum is expected to generate 11.13 times more return on investment than BMO Low. However, Ethereum is 11.13 times more volatile than BMO Low Volatility. It trades about 0.06 of its potential returns per unit of risk. BMO Low Volatility is currently generating about 0.03 per unit of risk. If you would invest  155,612  in Ethereum on October 12, 2024 and sell it today you would earn a total of  166,349  from holding Ethereum or generate 106.9% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	60.12%
Values	Daily Returns

Ethereum  vs.  BMO Low Volatility

Ethereum

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Ethereum are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical indicators, Ethereum exhibited solid returns over the last few months and may actually be approaching a breakup point.

BMO Low Volatility

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days BMO Low Volatility has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unfluctuating performance, the Etf's technical indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the ETF investors.

Pair Trading with Ethereum and BMO Low

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

The idea behind Ethereum and BMO Low Volatility 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.