Nasdaq - Delayed Quote USD

Alger Capital Appreciation Ptfl I-2 (ALVOX)

117.89
-1.67
(-1.40%)
As of 8:09:08 AM EDT. Market Open.

Fund Summary

Under normal market circumstances, the fund invests at least 85% of its net assets, plus any borrowings for investment purposes, in equity securities of companies of any market capitalization that the advisor believes demonstrate promising growth potential. The Portfolio may invest a significant portion of its assets in securities of companies conducting business within a single sector, as defined by third party sources, including the information technology, consumer discretionary, communication services, and healthcare sectors.

Alger Capital Appreciation Ptfl I-2

New York, NY 10003
111 Fifth Avenue

Fund Overview

Category Large Growth
Fund Family Alger
Net Assets 564.89M
YTD Return -9.55%
Yield 0.00%
Morningstar Rating
Inception Date May 01, 2002

Fund Operations

Last Dividend 0.08
Last Cap Gain 54.00
Holdings Turnover 66.83%
Average for Category --

Fees & Expenses

Expense ALVOX Category Average
Annual Report Expense Ratio (net) 0.93% 0.99%
Prospectus Net Expense Ratio 0.93% --
Prospectus Gross Expense Ratio 0.93% --
Max 12b1 Fee -- --
Max Front End Sales Load -- 5.36%
Max Deferred Sales Load -- 1.33%
3 Yr Expense Projection 0 --
5 Yr Expense Projection 0 --
10 Yr Expense Projection 0 --

Management Information

Daniel C. Chung, Lead Manager since February 11, 2021
Dan Chung, CFA is Chief Executive Officer, Chief Investment Officer and Portfolio Manager of several Alger strategies. Dan joined Alger in 1994 and has 27 years of investment experience. He was named Chief Investment Officer in September 2001, President in 2003, and CEO in 2006. Dan is also a member of The Alger Partners Plan. Throughout his tenure at Alger, he has made numerous TV appearances on Bloomberg, CNBC, and Fox Business. Dan has also been featured and quoted frequently in Barron’s, Citywire, Forbes, Investment News, Pensions & Investments, and USA Today. Prior to joining Alger, Dan was an associate at Simpson Thacher & Bartlett LLP in New York City in 1989 while he earned an LL.M. from New York University. He earned his J.D. magna cum laude from Harvard Law School in 1987, where he was an editor of the Harvard Law Review. After graduating, he served as law clerk for the Honorable Justice Anthony M. Kennedy, United States Supreme Court. Dan graduated from Stanford University with B.A. and B.S. degrees, with Distinction and Phi Beta Kappa, in 1984. Dan is also a CFA charterholder and a member of the CFA Institute. Dan currently serves as a board trustee and former chairman of The Nature Conservancy in the State of New York and is a Global Campaign Committee Member of The Nature Conservancy. He is also actively involved with the Stanford in New York Internship Program, and frequently contributes to and supports various charitable organizations including the Harlem Education Activities Fund (HEAF) and Target Margin Theater.

Morningstar Style Box

Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund. Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund.

Morningstar Category

While the investment objective stated in a fund's prospectus may or may not reflect how the fund actually invests, the Morningstar category is assigned based on the underlying securities in each portfolio. Morningstar categories help investors and investment professionals make meaningful comparisons between funds. The categories make it easier to build well-diversified portfolios, assess potential risk, and identify top-performing funds. We place funds in a given category based on their portfolio statistics and compositions over the past three years. If the fund is new and has no portfolio history, we estimate where it will fall before giving it a more permanent category assignment. When necessary, we may change a category assignment based on recent changes to the portfolio.

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