Correlation Between Inflation Linked and Multi-manager Global

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Inflation Linked and Multi-manager Global 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 Multi-manager Global 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 Multi Manager Global Real, you can compare the effects of market volatilities on Inflation Linked and Multi-manager Global 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 Multi-manager Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inflation Linked and Multi-manager Global.

Diversification Opportunities for Inflation Linked and Multi-manager Global

0.55
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Inflation and Multi-manager is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Inflation Linked Fixed Income and Multi Manager Global Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Manager Global 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 Multi-manager Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Manager Global has no effect on the direction of Inflation Linked i.e., Inflation Linked and Multi-manager Global go up and down completely randomly.

Pair Corralation between Inflation Linked and Multi-manager Global

Assuming the 90 days horizon Inflation Linked Fixed Income is expected to generate 0.37 times more return on investment than Multi-manager Global. However, Inflation Linked Fixed Income is 2.69 times less risky than Multi-manager Global. It trades about 0.08 of its potential returns per unit of risk. Multi Manager Global Real is currently generating about 0.01 per unit of risk. If you would invest  822.00  in Inflation Linked Fixed Income on May 7, 2025 and sell it today you would earn a total of  12.00  from holding Inflation Linked Fixed Income or generate 1.46% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Inflation Linked Fixed Income  vs.  Multi Manager Global Real

 Performance 
       Timeline  
Inflation Linked Fixed 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Inflation Linked Fixed Income are ranked lower than 6 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Inflation Linked is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Multi Manager Global 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Multi Manager Global Real has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental indicators, Multi-manager Global is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Inflation Linked and Multi-manager Global Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Inflation Linked and Multi-manager Global

The main advantage of trading using opposite Inflation Linked and Multi-manager Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inflation Linked position performs unexpectedly, Multi-manager Global 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 Multi-manager Global will offset losses from the drop in Multi-manager Global's long position.
The idea behind Inflation Linked Fixed Income and Multi Manager Global Real 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.
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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.

Other Complementary Tools

Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets