Correlation Between GM and Putnam Short
Can any of the company-specific risk be diversified away by investing in both GM and Putnam Short 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 Short 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 Short Term Municipal, you can compare the effects of market volatilities on GM and Putnam Short 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 Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Putnam Short.
Diversification Opportunities for GM and Putnam Short
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Putnam is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Putnam Short Term Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Short Term 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 Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Short Term has no effect on the direction of GM i.e., GM and Putnam Short go up and down completely randomly.
Pair Corralation between GM and Putnam Short
Allowing for the 90-day total investment horizon General Motors is expected to generate 30.47 times more return on investment than Putnam Short. However, GM is 30.47 times more volatile than Putnam Short Term Municipal. It trades about 0.14 of its potential returns per unit of risk. Putnam Short Term Municipal is currently generating about 0.16 per unit of risk. If you would invest 5,180 in General Motors on September 3, 2024 and sell it today you would earn a total of 379.00 from holding General Motors or generate 7.32% 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 Short Term Municipal
Performance |
| Timeline |
| General Motors |
| Putnam Short Term |
GM and Putnam Short Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Putnam Short
The main advantage of trading using opposite GM and Putnam Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Putnam Short 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 Short will offset losses from the drop in Putnam Short's long position.The idea behind General Motors and Putnam Short Term Municipal 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.| Putnam Short vs. Columbia Real Estate | Putnam Short vs. Forum Real Estate | Putnam Short vs. Fidelity Real Estate | Putnam Short vs. Tiaa Cref Real Estate |
Check out your portfolio center.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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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