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Trending ETFs

Name

As of 04/17/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

Systematic Core Fund

VCGAX | Fund

$28.99

$595 M

0.00%

0.86%

Vitals

YTD Return

4.0%

1 yr return

20.0%

3 Yr Avg Return

5.6%

5 Yr Avg Return

10.0%

Net Assets

$595 M

Holdings in Top 10

25.8%

52 WEEK LOW AND HIGH

$29.2
N/A
N/A

Expenses

OPERATING FEES

Expense Ratio 0.86%

SALES FEES

Front Load N/A

Deferred Load N/A

TRADING FEES

Turnover 20.00%

Redemption Fee N/A


Min Investment

Standard (Taxable)

$0

IRA

N/A


Fund Classification

Fund Type

Open End Mutual Fund


Name

As of 04/17/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

Systematic Core Fund

VCGAX | Fund

$28.99

$595 M

0.00%

0.86%

VCGAX - Profile

Distributions

  • YTD Total Return 4.0%
  • 3 Yr Annualized Total Return 5.6%
  • 5 Yr Annualized Total Return 10.0%
  • Capital Gain Distribution Frequency Annually
  • Net Income Ratio 0.67%
DIVIDENDS
  • Dividend Yield 0.0%
  • Dividend Distribution Frequency Annual

Fund Details

  • Legal Name
    Systematic Core Fund
  • Fund Family Name
    VALIC Company
  • Inception Date
    Sep 01, 2006
  • Shares Outstanding
    N/A
  • Share Class
    Other
  • Currency
    USD
  • Domiciled Country
    US
  • Manager
    Khalid (Kal) Ghayur

Fund Description

The Fund seeks to achieve a higher risk-adjusted performance than the Russell 1000® Index (the “Index”) over the long term through a proprietary selection process employed by the Fund’s Subadviser. The Fund primarily invests in common stock of U.S. large capitalization companies included in the Index. As of July 31, 2023, the market capitalization range of the companies in the Russell 1000® Index was approximately $1.33billion to $3.11 trillion. The size of the companies in the Index changes with market conditions and the composition of the Index. The size of the companies in which the Fund invests may be outside of this capitalization range and may change with market conditions as well.The Subadviser uses a rules-based methodology that emphasizes quantitatively-based stock selection and portfolio construction and efficient implementation. The Fund seeks to capture common sources of active equity returns, including the following factors: value (i.e., how attractively a stock is priced relative to its “fundamentals,” such as book value and free cash flow), momentum (i.e., whether a company’s share price is trending up or down), quality (i.e., profitability) and low volatility (i.e., a relatively low degree of fluctuation in a company’s share price over time). The Subadviser seeks to capitalize on the low correlations in returns across these factors by diversifying exposure to securities selected based on such factors. The Subadviser may, in its discretion, make changes to its quantitative techniques, or use other quantitative techniques that are based on the Subadviser’s proprietary research.The Subadviser constructs the Fund’s portfolio by investing in the securities comprising the Index and adjusting the relative weight of each security based on the security’s attractiveness when evaluated based on the factors as described above, subject to the Fund being constrained to long-only positions. Based on the Subadviser’s process, the Fund expects that its portfolio will be overweight with respect to certain securities (i.e., the Fund will hold a greater percentage of those securities than the Index) and underweight with respect to others (i.e., the Fund will hold a lesser percentage of those securities than the Index), and that such weightings may change over time. The percentage of the Fund’s portfolio exposed to any single security will vary from time to time as the weightings of the securities within the Fund change. The degree to which components of the Fund represent certain sectors or industries may change over time.The Subadviser will rebalance the Fund’s portfolio according to the process set forth above on a quarterly basis, and it generally employs a strategy to continue to hold securities between quarterly rebalancings, even if there are adverse developments concerning a particular security, an industry, the economy or the stock market generally. The Subadviser may reduce the position size of a security or sell the security during quarterly rebalancings if the security no longer has favorable scores in one or more of the four factors.In order to generate additional income, the Fund may lend portfolio securities to broker-dealers and other financial institutions provided that the value of the loaned securities does not exceed 30% of the Fund’s total assets. These loans earn income for the Fund and are collateralized by cash and securities issued or guaranteed by the U.S. Government or its agencies or instrumentalities.
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VCGAX - Performance

Return Ranking - Trailing

Period VCGAX Return Category Return Low Category Return High Rank in Category (%)
YTD 4.0% -47.2% 13.8% 74.06%
1 Yr 20.0% -38.4% 44.8% 62.14%
3 Yr 5.6%* -15.0% 26.9% 70.95%
5 Yr 10.0%* -8.9% 106.7% 82.43%
10 Yr 7.3%* 0.2% 20.6% 95.05%

* Annualized

Return Ranking - Calendar

Period VCGAX Return Category Return Low Category Return High Rank in Category (%)
2023 17.3% -42.6% 47.4% 57.19%
2022 -19.3% -56.3% -4.2% 26.76%
2021 13.6% -27.2% 53.7% 65.04%
2020 8.2% -36.2% 2181.7% 72.31%
2019 16.2% -22.7% 40.4% 84.83%

Total Return Ranking - Trailing

Period VCGAX Return Category Return Low Category Return High Rank in Category (%)
YTD 4.0% -47.2% 13.8% 74.06%
1 Yr 20.0% -38.4% 44.8% 62.14%
3 Yr 5.6%* -15.0% 26.9% 70.95%
5 Yr 10.0%* -8.9% 106.7% 82.43%
10 Yr 7.3%* 0.2% 20.6% 95.05%

* Annualized

Total Return Ranking - Calendar

Period VCGAX Return Category Return Low Category Return High Rank in Category (%)
2023 24.0% -5.0% 47.4% 49.92%
2022 -18.7% -36.8% -2.2% 61.14%
2021 26.3% 3.0% 124.3% 53.79%
2020 8.2% -15.8% 2266.0% 92.72%
2019 16.2% -0.4% 241.3% 99.11%

NAV & Total Return History


VCGAX - Holdings

Concentration Analysis

VCGAX Category Low Category High VCGAX % Rank
Net Assets 595 M 2.34 M 1.55 T 62.17%
Number of Holdings 774 1 4053 6.59%
Net Assets in Top 10 142 M 885 K 387 B 70.25%
Weighting of Top 10 25.80% 0.3% 112.0% 90.15%

Top 10 Holdings

  1. Apple Inc 5.92%
  2. Microsoft Corp 5.88%
  3. Amazon.com Inc 2.71%
  4. NVIDIA Corp 2.29%
  5. Alphabet Inc 1.76%
  6. Vanguard Russell 1000 1.66%
  7. Meta Platforms Inc 1.62%
  8. Alphabet Inc 1.54%
  9. Berkshire Hathaway Inc 1.26%
  10. UnitedHealth Group Inc 1.17%

Asset Allocation

Weighting Return Low Return High VCGAX % Rank
Stocks
99.76% 0.00% 124.03% 12.72%
Cash
0.35% 0.00% 99.06% 76.77%
Preferred Stocks
0.00% 0.00% 2.38% 34.62%
Other
0.00% -13.91% 100.00% 57.77%
Convertible Bonds
0.00% 0.00% 5.54% 30.94%
Bonds
0.00% -0.50% 93.78% 36.03%

Stock Sector Breakdown

Weighting Return Low Return High VCGAX % Rank
Technology
25.36% 0.00% 48.94% 31.63%
Healthcare
13.83% 0.00% 60.70% 66.77%
Consumer Cyclical
13.39% 0.00% 30.33% 8.39%
Financial Services
12.31% 0.00% 55.59% 77.24%
Industrials
8.85% 0.00% 29.90% 54.07%
Consumer Defense
8.13% 0.00% 47.71% 22.76%
Communication Services
7.80% 0.00% 27.94% 60.22%
Real Estate
3.06% 0.00% 31.91% 36.74%
Energy
2.65% 0.00% 41.64% 73.80%
Basic Materials
2.33% 0.00% 25.70% 66.21%
Utilities
2.29% 0.00% 20.91% 59.66%

Stock Geographic Breakdown

Weighting Return Low Return High VCGAX % Rank
US
99.76% 0.00% 124.03% 10.75%
Non US
0.00% 0.00% 62.81% 45.05%

VCGAX - Expenses

Operational Fees

VCGAX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.86% 0.01% 16.07% 46.76%
Management Fee 0.75% 0.00% 1.89% 86.75%
12b-1 Fee N/A 0.00% 1.00% N/A
Administrative Fee 0.06% 0.00% 0.85% 36.07%

Sales Fees

VCGAX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A 1.00% 5.75% N/A
Deferred Load N/A 1.00% 5.00% N/A

Trading Fees

VCGAX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A 0.25% 2.00% N/A

Related Fees

Turnover provides investors a proxy for the trading fees incurred by mutual fund managers who frequently adjust position allocations. Higher turnover means higher trading fees.

VCGAX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover 20.00% 0.00% 496.00% 41.59%

VCGAX - Distributions

Dividend Yield Analysis

VCGAX Category Low Category High VCGAX % Rank
Dividend Yield 0.00% 0.00% 25.84% 61.53%

Dividend Distribution Analysis

VCGAX Category Low Category High Category Mod
Dividend Distribution Frequency Annual Annual Monthly Annual

Net Income Ratio Analysis

VCGAX Category Low Category High VCGAX % Rank
Net Income Ratio 0.67% -54.00% 6.06% 51.04%

Capital Gain Distribution Analysis

VCGAX Category Low Category High Capital Mode
Capital Gain Distribution Frequency Annually Annually Monthly Annually

Distributions History

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VCGAX - Fund Manager Analysis

Managers

Khalid (Kal) Ghayur


Start Date

Tenure

Tenure Rank

Apr 27, 2020

2.09

2.1%

Mr. Ghayur is the head of the Beta Equity Strategies business with GSAM’s Advanced Beta Strategies Platform, overseeing the team’s customized, factor-based equity portfolios. With over 29 years of industry experience, Mr. Ghayur joined GSAM as a Managing Director upon GSAM’s acquisition of Westpeak Global Advisors (“Westpeak”) in June 2014. Prior to joining GSAM, Mr. Ghayur was the Managing Partner and Chief Investment Officer of Westpeak, a pioneer in the smart beta space with their patented ActiveBeta investment methodology. Prior to joining Westpeak in 2007, Mr. Ghayur was the Director of Research Policy at MSCI in New York, where he was a member of its Global Executive Committee and Chairman of the MSCI Index Policy Committee. In that capacity, Mr. Ghayur was responsible for MSCI’s global markets and benchmarking research and new product development. From 1994 to 2000, Mr. Ghayur was Global Head of Quantitative Research and Strategy for HSBC Asset Management in London, where he was responsible for the development and application of strategic and tactical asset allocation, fixed income modeling, stock selection techniques, portfolio construction and analysis, and risk management. From 1992 to 1994, Mr. Ghayur was a Senior Quantitative Analyst at Credit Lyonnais Asset Management in Paris, and from 1987 to 1991, he held the position of Portfolio Manager at Union National Bank in Abu Dhabi, where he was responsible for managing the bank’s UK and US investment portfolios. Mr. Ghayur has served on the Board of Governors of the CFA Institute, the Board’s Nominating Committee, and as Chairman of the Board’s External Relations and Volunteer Involvement Committee. He is a former trustee of the CFA Institute Research Foundation. Mr. Ghayur was a member of the Editorial Board of Financial Analysts Journal and was founding President of the UK Society of Investment Professionals. Mr. Ghayur received an MBA in Finance and International Business from the École Nationale des Ponts et Chaussées, Paris, and an MA and BA in Economics from the University of Karachi. He is a CFA charterholder, a member of the CFA Institute, and a Fellow of the Society of Investment Professionals (“FSIP”). He is also a Diplomaed Associate of the Institute of Bankers Pakistan.

Ronan Heaney


Start Date

Tenure

Tenure Rank

Apr 27, 2020

2.09

2.1%

Mr. Heaney is the head of research for the ActiveBeta Equity Strategies business with GSAM’s Advanced Beta Strategies Platform. He is responsible for investment research activities, including improving quantitative investment models and portfolio construction methodologies and identifying and testing new model components and implementation of techniques. Mr. Heaney joined GSAM following GSAM’s acquisition of Wetpeak in June 2014. Prior to joining GSAM, Mr. Heaney was the Director of Research for Westpeak, pioneering Westpeak’s patent Methods and Systems for Building and Managing Portfolios based on Ordinal Ranks of Securities. Prior to joining Westpeak in 1998, Mr. Heaney was employed by Multum Information Services in Denver, Colorado, as a Software Architect. From 1992 to 1996, he held the position of Senior Software Developer at Swiss Bank Corporation in Chicago. Mr. Heaney received an M.S. in Computer Science from Purdue University, where he was awarded a Fulbright Fellowship, and a B.S. in Applied Physics from Dublin University, Ireland.

Karhan Akcoglu


Start Date

Tenure

Tenure Rank

Oct 01, 2021

0.66

0.7%

Mr. Akcoglu is head of portfolio management for the ActiveBeta Equity Strategies business within Goldman Sachs Asset Management’s Rules-Based Factor Investing Strategies platform. He is responsible for portfolio management, including portfolio construction and risk management of global developed and emerging market equity portfolios and custom indexes. Mr. Akcoglu has held a variety of roles within the Global Markets Division and more recently within Goldman Sachs Asset Management, focused on the development of mathematical and analytical tools across a variety of factor-based strategies. Immediately prior to joining the ActiveBeta team, Mr. Akcoglu served as Head of Strats for the ActiveBeta, Alternative Investment Strategies, and Macro Alpha businesses within Goldman Sachs Asset Management’s Quantitative Investment Strategies platform, where he oversaw the development of quantitative analytical tools driving portfolio construction and risk management of long-only and long-short factor-based portfolios investing in global equities, commodities, currencies, and fixed-income instruments. Prior to joining Goldman Sachs Asset Management in 2018, Mr. Akcoglu was head of Trading Strats for the macro Systematic Trading Strategies (STS) business within the Global Markets Division of Goldman Sachs, where he oversaw the development and risk management of rules-based index products for factor exposures across currencies, commodities, and fixed income, a role he held since 2011 initially based out of London and subsequently New York. Prior to this, Mr. Akcoglu oversaw the development of the analytics underpinning the Goldman Sachs Commodity Index (GSCI) and developed customized, enhanced commodity index products for exposure to commodity market factor dynamics in long-only and beta-neutral long-short formats. In this capacity, Mr. Akcoglu has previously served on the S&P GSCI Index Advisory Panel. Mr. Akcoglu originally joined Goldman Sachs in 2002 upon earning a Ph.D. in Computer Science from Yale University and an Hon.B.Sc. in Computer Science and Mathematics from the University of Toronto.

Tenure Analysis

Category Low Category High Category Average Category Mode
0.04 39.02 7.23 2.42