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Trending ETFs

Name

As of 03/26/2024

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

$25.80

$25.3 M

0.00%

$0.00

1.57%

Vitals

YTD Return

15.2%

1 yr return

57.4%

3 Yr Avg Return

8.8%

5 Yr Avg Return

17.6%

Net Assets

$25.3 M

Holdings in Top 10

47.7%

52 WEEK LOW AND HIGH

$25.9
N/A
N/A

Expenses

OPERATING FEES

Expense Ratio 1.57%

SALES FEES

Front Load N/A

Deferred Load N/A

TRADING FEES

Turnover 87.71%

Redemption Fee N/A


Min Investment

Standard (Taxable)

$2,000

IRA

$500


Fund Classification

Fund Type

Open End Mutual Fund


Name

As of 03/26/2024

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

$25.80

$25.3 M

0.00%

$0.00

1.57%

TGFTX - Profile

Distributions

  • YTD Total Return 15.2%
  • 3 Yr Annualized Total Return 8.8%
  • 5 Yr Annualized Total Return 17.6%
  • Capital Gain Distribution Frequency N/A
  • Net Income Ratio -0.51%
DIVIDENDS
  • Dividend Yield 0.0%
  • Dividend Distribution Frequency Annual

Fund Details

  • Legal Name
    TCW Artificial Intelligence Equity Fund
  • Fund Family Name
    TCW Family of Investment Companies
  • Inception Date
    Aug 31, 2017
  • Shares Outstanding
    N/A
  • Share Class
    I
  • Currency
    USD
  • Domiciled Country
    US
  • Manager
    Jeffrey Lin

Fund Description

Under normal circumstances, the Fund invests at least 80% of the value of its net assets, plus any borrowings for investment purposes, in publicly traded equity securities of businesses that the portfolio managers believe are benefitting from or have the potential to benefit from advances in the use of artificial intelligence. If the Fund changes this investment policy, it will notify shareholders in writing at least 60 days in advance of the change. Artificial intelligence refers to the development or use by a business of computer systems that perform tasks previously requiring human intelligence such as decision-making or audio or visual identification or perception. The Fund invests primarily in issuers that are characterized as “growth companies” according to criteria established by the portfolio managers, which may include attributes such as an expected growth cycle, accelerating earnings or cash flow, and general growth of a business sector. Bottom-up fundamental research that focuses on the individual attributes of a company, such as its financial characteristics, is used to identify these companies, as well as both qualitative and quantitative screening criteria to supplement the fundamental research.
Furthermore, the portfolio managers use a highly focused approach, which seeks to achieve superior long-term returns over a full market cycle by owning shares of companies that the portfolio managers believe to have strong, disruptive and enduring business models and inherent advantages over their competitors. In selecting the Fund’s investments, the portfolio managers consider the extent to which businesses have leaders who prudently manage their environmental sustainability and social responsibilities with good governance and solid financial resources.
Equity securities include common and preferred stock; rights, warrants or options to purchase common or preferred stock; securities that may be converted into or exchanged for common or preferred stock, such as convertible preferred stock, convertible debt and Eurodollar convertible securities; equity securities of foreign companies listed on established exchanges, including NASDAQ; American Depository Receipts (ADRs); equity securities of specialized real estate investment trusts (“REITs”); and other securities with equity characteristics.
The Fund typically invests in companies in the information technology sector with market capitalizations of at least $300 million at the time of acquisition, although there are no exclusions on the sectors in which the Fund may invest in. The Fund typically invests in a portfolio of 25 to 60 companies. The portfolio managers use both qualitative and quantitative screening criteria to supplement the fundamental research. The portfolio managers’ qualitative screening focuses on those companies that they believe have the potential to generate a measurable and meaningful benefit from artificial intelligence. This benefit can include widening a competitive advantage, increasing revenue growth, expanding margins, improving earnings and/or cash flow, or enhancing capital allocation policies, among others.
Portfolio securities may be sold for a number of reasons, including when a company fails to meet expectations or when the portfolio managers believe that (i) there has been a deterioration in the underlying fundamentals of a company, (ii) the intermediate- and long-term prospects for a company are poor or the original thesis was flawed or has been damaged, (iii) another security may offer a better investment opportunity, (iv) an individual security has reached its sell target or the investment therein has been exhausted, or (v) the portfolio should be rebalanced for diversification or portfolio weighting purposes.
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TGFTX - Performance

Return Ranking - Trailing

Period TGFTX Return Category Return Low Category Return High Rank in Category (%)
YTD 15.2% -15.0% 28.6% 29.96%
1 Yr 57.4% -16.7% 81.1% 22.03%
3 Yr 8.8%* -30.8% 29.1% 39.46%
5 Yr 17.6%* -9.7% 35.6% 48.74%
10 Yr N/A* 0.3% 27.6% N/A

* Annualized

Return Ranking - Calendar

Period TGFTX Return Category Return Low Category Return High Rank in Category (%)
2023 57.3% -5.6% 96.9% 18.58%
2022 -40.4% -73.9% -16.4% 55.61%
2021 9.7% -44.6% 51.5% 42.34%
2020 57.8% 5.5% 154.1% 19.23%
2019 33.5% -3.0% 63.7% 53.03%

Total Return Ranking - Trailing

Period TGFTX Return Category Return Low Category Return High Rank in Category (%)
YTD 15.2% -15.0% 28.6% 29.96%
1 Yr 57.4% -16.7% 81.1% 22.03%
3 Yr 8.8%* -30.8% 29.1% 39.46%
5 Yr 17.6%* -9.7% 35.6% 48.74%
10 Yr N/A* 0.3% 27.6% N/A

* Annualized

Total Return Ranking - Calendar

Period TGFTX Return Category Return Low Category Return High Rank in Category (%)
2023 57.3% -2.3% 96.9% 24.78%
2022 -40.4% -67.5% -5.9% 75.34%
2021 14.6% -17.8% 59.2% 54.50%
2020 57.8% 17.5% 157.5% 34.62%
2019 33.5% 7.5% 66.9% 79.80%

NAV & Total Return History


TGFTX - Holdings

Concentration Analysis

TGFTX Category Low Category High TGFTX % Rank
Net Assets 25.3 M 4.18 M 58.1 B 92.98%
Number of Holdings 39 10 319 77.19%
Net Assets in Top 10 19.6 M 1.23 M 40.5 B 88.16%
Weighting of Top 10 47.67% 11.5% 100.0% 60.09%

Top 10 Holdings

  1. State Street Institutional US Government Money Market Fund 6.35%
  2. NVIDIA Corp 6.27%
  3. Meta Platforms Inc 5.23%
  4. Arista Networks Inc 5.17%
  5. Palo Alto Networks Inc 4.82%
  6. Microsoft Corp 4.56%
  7. Crowdstrike Holdings Inc 4.02%
  8. Alphabet Inc 3.91%
  9. ServiceNow Inc 3.75%
  10. Micron Technology Inc 3.57%

Asset Allocation

Weighting Return Low Return High TGFTX % Rank
Stocks
94.66% 0.00% 103.06% 92.98%
Cash
6.95% -0.14% 26.97% 10.53%
Preferred Stocks
0.00% 0.00% 7.72% 49.56%
Other
0.00% -0.04% 26.87% 50.88%
Convertible Bonds
0.00% 0.00% 0.40% 41.67%
Bonds
0.00% 0.00% 90.88% 41.67%

Stock Sector Breakdown

Weighting Return Low Return High TGFTX % Rank
Technology
67.83% 2.80% 100.00% 60.09%
Consumer Cyclical
9.71% 0.00% 32.97% 26.32%
Communication Services
9.32% 0.00% 97.05% 54.39%
Real Estate
4.47% 0.00% 15.05% 6.14%
Financial Services
2.95% 0.00% 38.36% 58.77%
Consumer Defense
2.90% 0.00% 5.64% 3.51%
Industrials
2.61% 0.00% 38.68% 34.65%
Healthcare
0.21% 0.00% 25.57% 47.37%
Utilities
0.00% 0.00% 5.17% 40.35%
Energy
0.00% 0.00% 1.24% 39.91%
Basic Materials
0.00% 0.00% 2.38% 45.61%

Stock Geographic Breakdown

Weighting Return Low Return High TGFTX % Rank
US
92.78% 0.00% 103.06% 62.72%
Non US
1.88% 0.00% 58.19% 45.61%

TGFTX - Expenses

Operational Fees

TGFTX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 1.57% 0.08% 6.86% 24.23%
Management Fee 0.70% 0.03% 1.95% 43.42%
12b-1 Fee N/A 0.00% 1.00% N/A
Administrative Fee 0.02% 0.00% 0.50% 5.77%

Sales Fees

TGFTX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A 3.50% 5.75% N/A
Deferred Load N/A 1.00% 4.00% N/A

Trading Fees

TGFTX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A 1.00% 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.

TGFTX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover 87.71% 0.69% 281.00% 87.22%

TGFTX - Distributions

Dividend Yield Analysis

TGFTX Category Low Category High TGFTX % Rank
Dividend Yield 0.00% 0.00% 7.37% 56.58%

Dividend Distribution Analysis

TGFTX Category Low Category High Category Mod
Dividend Distribution Frequency Annual Annual Annual Annual

Net Income Ratio Analysis

TGFTX Category Low Category High TGFTX % Rank
Net Income Ratio -0.51% -2.30% 2.08% 54.46%

Capital Gain Distribution Analysis

TGFTX Category Low Category High Capital Mode
Capital Gain Distribution Frequency Annually Annually Annually

Distributions History

View More +

TGFTX - Fund Manager Analysis

Managers

Jeffrey Lin


Start Date

Tenure

Tenure Rank

Aug 31, 2017

4.75

4.8%

Thomas Lee


Start Date

Tenure

Tenure Rank

Aug 31, 2017

4.75

4.8%

Tom is a member of Parametric’s Executive Committee and leads Parametric’s Research, Strategy, Portfolio Management, and Trading Teams, coordinating resources, aligning priorities, and establishing processes for achieving clients’ investment objectives. Tom has coauthored articles on topics ranging from liability-driven investing to the volatility risk premium. He is a voting member of all the firm’s investment committees. Prior to joining Parametric in 1994 (originally as an employee of the Clifton Group, which was acquired by Parametric in 2012), Tom spent two years working for the Board of Governors of the Federal Reserve in Washington, DC. He earned a BS in economics and an MBA in finance from the University of Minnesota. A CFA charterholder, Tom is a member of the CFA Society of Minnesota.

Tenure Analysis

Category Low Category High Category Average Category Mode
0.04 32.43 8.4 1.41