Correlation Between Pear Tree and Amg Managers

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

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

Diversification Opportunities for Pear Tree and Amg Managers

0.76

Correlation Coefficient

Pear Tree  Amg Managers

Poor diversification

The 3 months correlation between Pear and Amg is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Pear Tree Polaris and Amg Managers Loomis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Loomis and Pear Tree 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 Pear Tree Polaris are associated (or correlated) with Amg Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Managers Loomis has no effect on the direction of Pear Tree i.e., Pear Tree and Amg Managers go up and down completely randomly.

Pair Corralation between Pear Tree and Amg Managers

Assuming the 90 days horizon Pear Tree Polaris is expected to under-perform the Amg Managers. In addition to that, Pear Tree is 2.47 times more volatile than Amg Managers Loomis. It trades about -0.11 of its total potential returns per unit of risk. Amg Managers Loomis is currently generating about -0.06 per unit of volatility. If you would invest  2,204  in Amg Managers Loomis on August 31, 2024 and sell it today you would lose (24.00) from holding Amg Managers Loomis or give up 1.09% of portfolio value over 90 days.

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

Pear Tree Polaris  vs.  Amg Managers Loomis

Pear Tree Polaris

Risk-Adjusted Performance

0 of 100

Very Weak

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

Amg Managers Loomis

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Pear Tree and Amg Managers

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

The idea behind Pear Tree Polaris and Amg Managers Loomis 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 Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.