Correlation Between GM and Putnam Dynamic

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

By analyzing existing cross correlation between General Motors and Putnam Dynamic Asset, you can compare the effects of market volatilities on GM and Putnam Dynamic 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 GM with a short position of Putnam Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Putnam Dynamic.

Diversification Opportunities for GM and Putnam Dynamic

-0.38

Correlation Coefficient

GM  Putnam Dynamic

Very good diversification

The 3 months correlation between GM and Putnam is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Putnam Dynamic Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Dynamic Asset and GM 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 General Motors are associated (or correlated) with Putnam Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Dynamic Asset has no effect on the direction of GM i.e., GM and Putnam Dynamic go up and down completely randomly.

Pair Corralation between GM and Putnam Dynamic

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Putnam Dynamic. In addition to that, GM is 6.07 times more volatile than Putnam Dynamic Asset. It trades about -0.01 of its total potential returns per unit of risk. Putnam Dynamic Asset is currently generating about 0.0 per unit of volatility. If you would invest  1,066  in Putnam Dynamic Asset on December 26, 2024 and sell it today you would earn a total of  0.00  from holding Putnam Dynamic Asset or generate 0.0% return on investment over 90 days.

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

General Motors  vs.  Putnam Dynamic Asset

General Motors

Risk-Adjusted Performance

Very Weak

Over the last 90 days General Motors has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy primary indicators, GM is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

Putnam Dynamic Asset

Risk-Adjusted Performance

Very Weak

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

Pair Trading with GM and Putnam Dynamic

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

The idea behind General Motors and Putnam Dynamic Asset 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.