Correlation Between Ab Minnesota and Ab Large

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

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

Diversification Opportunities for Ab Minnesota and Ab Large

0.08

Correlation Coefficient

Ab Minnesota  Ab Large

Significant diversification

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

Pair Corralation between Ab Minnesota and Ab Large

Assuming the 90 days horizon Ab Minnesota Portfolio is expected to generate 0.13 times more return on investment than Ab Large. However, Ab Minnesota Portfolio is 8.0 times less risky than Ab Large. It trades about -0.17 of its potential returns per unit of risk. Ab Large Cap is currently generating about -0.14 per unit of risk. If you would invest  962.00  in Ab Minnesota Portfolio on September 23, 2024 and sell it today you would lose (8.00) from holding Ab Minnesota Portfolio or give up 0.83% of portfolio value over 90 days.

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

Ab Minnesota Portfolio  vs.  Ab Large Cap

Ab Minnesota Portfolio

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Ab Minnesota Portfolio has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong fundamental indicators, Ab Minnesota is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Ab Large Cap

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Ab Large Cap has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Ab Large is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Ab Minnesota and Ab Large

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

The idea behind Ab Minnesota Portfolio and Ab Large Cap 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.