Giulio Martini - Lord Abbett Fund Manager
| LIGFX Fund | USD 15.38 0.09 0.59% |
Martini is chief investment officercurrency quantitative strategies of AllianceBernstein with which he was associated since prior to 2001. Previously, he was named chief international economist and portfolio manager on the international and global value equities team in 1992. He also served as a senior economist since joining Bernstein in 1985. Prior to AllianceBernstein, he conducted economic research and taught at the Institute of Employment Policy at Boston University for three years.
| Phone | 888-522-2388 |
Lord Abbett Management Performance (%)
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Lord Fund Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right mutual fund is not an easy task. Is Lord Abbett a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Price To Earning | 15.43 X | |||
| Price To Book | 1.53 X | |||
| Price To Sales | 1.27 X | |||
| Total Asset | 1.24 B | |||
| Annual Yield | 0.03 % | |||
| Year To Date Return | 2.26 % | |||
| One Year Return | 8.65 % | |||
| Three Year Return | (0.69) % | |||
| Five Year Return | 4.36 % | |||
| Ten Year Return | 5.79 % |
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Try AI Portfolio ArchitectCheck out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Lord Abbett Diversified. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in census. Note that the Lord Abbett Diversified information on this page should be used as a complementary analysis to other Lord Abbett's statistical models used 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.