Correlation Between Strategic Asset and Federated Mdt
Can any of the company-specific risk be diversified away by investing in both Strategic Asset and Federated Mdt 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 Strategic Asset and Federated Mdt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strategic Asset Management and Federated Mdt Small, you can compare the effects of market volatilities on Strategic Asset and Federated Mdt 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 Strategic Asset with a short position of Federated Mdt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strategic Asset and Federated Mdt.
Diversification Opportunities for Strategic Asset and Federated Mdt
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Strategic and Federated is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Strategic Asset Management and Federated Mdt Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Mdt Small and Strategic Asset 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 Strategic Asset Management are associated (or correlated) with Federated Mdt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Mdt Small has no effect on the direction of Strategic Asset i.e., Strategic Asset and Federated Mdt go up and down completely randomly.
Pair Corralation between Strategic Asset and Federated Mdt
Assuming the 90 days horizon Strategic Asset is expected to generate 1.8 times less return on investment than Federated Mdt. But when comparing it to its historical volatility, Strategic Asset Management is 3.71 times less risky than Federated Mdt. It trades about 0.21 of its potential returns per unit of risk. Federated Mdt Small is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 2,546 in Federated Mdt Small on May 15, 2025 and sell it today you would earn a total of 173.00 from holding Federated Mdt Small or generate 6.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Strategic Asset Management vs. Federated Mdt Small
Performance |
Timeline |
Strategic Asset Mana |
Federated Mdt Small |
Strategic Asset and Federated Mdt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Strategic Asset and Federated Mdt
The main advantage of trading using opposite Strategic Asset and Federated Mdt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strategic Asset position performs unexpectedly, Federated Mdt 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 Federated Mdt will offset losses from the drop in Federated Mdt's long position.Strategic Asset vs. Jpmorgan Trust I | Strategic Asset vs. Matson Money Equity | Strategic Asset vs. Aig Government Money | Strategic Asset vs. Transamerica Funds |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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