GAM Star Comparative Analysis Breakdown

IE00B88LXR84 -- Ireland Fund  

USD 27.73  0.08  0.29%

You can use this module to analyze advantages of GAM Star technical and fundamental indicators over its peers. Please use the box above to enter up to 4 concurrent symbols you would like to analyze. Use comma (,) to separate each symbol. With this comparative module your can estimate the relative strength of GAM Star Japan Equity Z USD Acc against its competitors. Please also check Risk vs Return Analysis.

    
 Better Than Average     
    
 Worse Than Peers or Benchmark    View Performance Chart
GAM StarLegg MasonShenkman FinsburyBlackRock FIDFPrusik AsiaJanus Global
0.08 / 0.29%

 27.73 

 GAM Star
1.15 / 0.93%

 122.43 

 Legg Mason
1.02 / 0.09%

 1,103 

 Shenkman Finsbury
0.02 / 0.14%

 14.14 

 BlackRock FIDF
17.04 / 6.71%

 271.17 

 Prusik Asia
0.13 / 1.47%

 8.96 

 Janus Global
Market Performance
(Over the last 30 days)
 0 of 100 0 of 100 0 of 100 0 of 100 46 of 100 46 of 100
Probability Of Bankruptcy
(Chance of Financial Distress)
1 %45 %44 %1 %1 %1 %
Net Asset
Minimum Initial Investment
Five Year Return
One Year Return
Last Dividend Paid
Price to Sales
Price to Book
Cash Position Weight
Equity Positions Weight
Three Year Return
Bond Positions Weight
Ten Year Return
Price to Earning
Coefficient Of Variation
Mean Deviation
Jensen Alpha
Total Risk Alpha
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
Skewness
Semi Deviation
Information Ratio
Value At Risk
Expected Short fall
Downside Deviation
Semi Variance

Did You Try This Idea?

Run Cars Thematic Idea Now
Cars
Cars Idea
Domestic and international companies involved in manufacturing and serving automobiles and trucks. Cars theme has 25 constituents.
View All  Next Launch Cars
Please also check Risk vs Return Analysis. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.