Correlation Between Inflation Linked and Real Assets
Can any of the company-specific risk be diversified away by investing in both Inflation Linked and Real Assets 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 Inflation Linked and Real Assets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inflation Linked Fixed Income and Real Assets Portfolio, you can compare the effects of market volatilities on Inflation Linked and Real Assets 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 Inflation Linked with a short position of Real Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inflation Linked and Real Assets.
Diversification Opportunities for Inflation Linked and Real Assets
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Inflation and Real is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Inflation Linked Fixed Income and Real Assets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Assets Portfolio and Inflation Linked 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 Inflation Linked Fixed Income are associated (or correlated) with Real Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Assets Portfolio has no effect on the direction of Inflation Linked i.e., Inflation Linked and Real Assets go up and down completely randomly.
Pair Corralation between Inflation Linked and Real Assets
Assuming the 90 days horizon Inflation Linked is expected to generate 1.3 times less return on investment than Real Assets. But when comparing it to its historical volatility, Inflation Linked Fixed Income is 1.2 times less risky than Real Assets. It trades about 0.17 of its potential returns per unit of risk. Real Assets Portfolio is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 1,053 in Real Assets Portfolio on May 12, 2025 and sell it today you would earn a total of 37.00 from holding Real Assets Portfolio or generate 3.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Inflation Linked Fixed Income vs. Real Assets Portfolio
Performance |
Timeline |
Inflation Linked Fixed |
Real Assets Portfolio |
Inflation Linked and Real Assets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inflation Linked and Real Assets
The main advantage of trading using opposite Inflation Linked and Real Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inflation Linked position performs unexpectedly, Real Assets 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 Real Assets will offset losses from the drop in Real Assets' long position.Inflation Linked vs. Templeton Developing Markets | Inflation Linked vs. Payden Emerging Markets | Inflation Linked vs. T Rowe Price | Inflation Linked vs. Gmo Emerging Markets |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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