Correlation Between Dfa Commodity and Western Asset
Can any of the company-specific risk be diversified away by investing in both Dfa Commodity and Western Asset 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 Dfa Commodity and Western Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dfa Commodity Strategy and Western Asset Diversified, you can compare the effects of market volatilities on Dfa Commodity and Western Asset 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 Dfa Commodity with a short position of Western Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Commodity and Western Asset.
Diversification Opportunities for Dfa Commodity and Western Asset
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dfa and Western is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Commodity Strategy and Western Asset Diversified in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Asset Diversified and Dfa Commodity 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 Dfa Commodity Strategy are associated (or correlated) with Western Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Asset Diversified has no effect on the direction of Dfa Commodity i.e., Dfa Commodity and Western Asset go up and down completely randomly.
Pair Corralation between Dfa Commodity and Western Asset
Assuming the 90 days horizon Dfa Commodity Strategy is expected to under-perform the Western Asset. In addition to that, Dfa Commodity is 2.07 times more volatile than Western Asset Diversified. It trades about -0.01 of its total potential returns per unit of risk. Western Asset Diversified is currently generating about -0.01 per unit of volatility. If you would invest 1,540 in Western Asset Diversified on October 5, 2024 and sell it today you would lose (26.00) from holding Western Asset Diversified or give up 1.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dfa Commodity Strategy vs. Western Asset Diversified
Performance |
Timeline |
Dfa Commodity Strategy |
Western Asset Diversified |
Dfa Commodity and Western Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dfa Commodity and Western Asset
The main advantage of trading using opposite Dfa Commodity and Western Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Commodity position performs unexpectedly, Western Asset 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 Western Asset will offset losses from the drop in Western Asset's long position.Dfa Commodity vs. Real Estate Fund | Dfa Commodity vs. Columbia Real Estate | Dfa Commodity vs. Simt Real Estate | Dfa Commodity vs. John Hancock Variable |
Western Asset vs. Vanguard Total Stock | Western Asset vs. Vanguard 500 Index | Western Asset vs. Vanguard Total Stock | Western Asset vs. Vanguard Total Stock |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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