WisdomTree Emerging Markets Efficient Core Fund
Name
As of 09/05/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
Vitals
YTD Return
7.1%
1 yr return
14.0%
3 Yr Avg Return
-6.9%
5 Yr Avg Return
N/A
Net Assets
$52.3 M
Holdings in Top 10
31.4%
52 WEEK LOW AND HIGH
Expenses
OPERATING FEES
Expense Ratio 0.32%
SALES FEES
Front Load N/A
Deferred Load N/A
TRADING FEES
Turnover N/A
Redemption Fee N/A
Min Investment
Standard (Taxable)
N/A
IRA
N/A
Fund Classification
Fund Type
Exchange Traded Fund
Name
As of 09/05/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
NTSE - Profile
Distributions
- YTD Total Return 7.1%
- 3 Yr Annualized Total Return -6.9%
- 5 Yr Annualized Total Return N/A
- Capital Gain Distribution Frequency N/A
- Net Income Ratio N/A
- Dividend Yield 1.3%
- Dividend Distribution Frequency Quarterly
Fund Details
-
Legal NameWisdomTree Emerging Markets Efficient Core Fund
-
Fund Family NameWisdomTree Trust
-
Inception DateMay 20, 2021
-
Shares OutstandingN/A
-
Share ClassN/A
-
CurrencyUSD
-
Domiciled CountryUS
-
ManagerMarlene Walker-Smith
Fund Description
The Fund is actively managed using a model-based approach. The Fund seeks to achieve its investment objective by investing in emerging markets equity securities and U.S. Treasury futures contracts.
The Fund invests in a representative basket of emerging markets equity securities generally weighted by market capitalization. Under normal circumstances, the Fund will invest approximately 90% of its net assets in the above-referenced equity securities.
The remainder of the net assets, which WisdomTree Asset Management, Inc., the Fund’s investment adviser (“WisdomTree Asset Management” or the “Adviser”), expects to be in cash and cash equivalents, will serve as collateral for U.S. Treasury futures contracts of varying maturities ranging from 2 to 30 years, which are selected to achieve a target duration of 3 to 8 years. Duration is a measure used to determine the sensitivity of a portfolio to changes in interest rates with a longer duration portfolio being more sensitive to changes in interest rates. Under normal circumstances, the aggregate U.S. Treasury futures contracts positions will represent a notional exposure (i.e., the total underlying amount of exposure created by a derivatives trade) of approximately 60% of the Fund’s net assets. The notional exposure of a futures contract is calculated by multiplying the size of the futures contract by the market price for future delivery of the underlying U.S. Treasuries. The Adviser expects that the level of interest rate risk offered by the weighted positions in the U.S. Treasury futures contracts will be set and maintained at risk levels consistent with intermediate term fixed income securities. It is anticipated that the U.S. Treasury futures contracts will be rolled as they near expiry into new contracts, with the size of the futures positions at different maturity points adjusted to maintain the desired interest rate risk exposure.
The Fund’s portfolio will be rebalanced quarterly to implement the results of the model. As a result, between quarterly rebalances, the Fund’s allocations to emerging markets equity securities and U.S. Treasury futures contracts may vary from the targeted 90%/60% allocations, and the targeted duration of and level of interest rate risk associated with the fixed income portion of the Fund may vary from their respective targets stated herein. To the extent exposure of the equity and fixed income portions of the Fund deviates from the targeted 90% equity and 60% U.S. Treasury futures contracts allocations noted above by 5% or greater, it is anticipated that the Fund will be rebalanced intra-quarter to more closely align its portfolio with the target allocations.
The Adviser currently uses the Global Industry Classification Standard (GICS®), a widely recognized industry classification methodology developed by MSCI, Inc. and Standard & Poor’s Financial Services LLC, to assign companies to a given sector or industry and identify the sectors represented in the Fund. The sectors represented in the Fund, as well as the extent of such representation, are expected to vary over time. A sector typically is comprised of multiple industries. For example, the Energy Sector is comprised of, among others, the Energy Equipment and Services Industry and the Oil, Gas and Consumable Fuels Industry. As of September 30, 2023, companies assigned to the Information Technology, Financials, and Consumer Discretionary Sectors comprised a significant portion (i.e., approximately 15% or more) of the Fund’s assets.
As of September 30, 2023, the equity securities of companies domiciled in or otherwise tied (e.g., a company’s principal place of business is maintained in that region or country) to each of China, Taiwan and India comprised a significant portion (i.e., approximately 15% or more) of the Fund’s assets, although the Fund’s geographic exposure may change from time to time.
NTSE - Performance
Return Ranking - Trailing
Period | NTSE Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | 7.1% | -32.7% | 17.4% | 97.22% |
1 Yr | 14.0% | -50.4% | 14.4% | 98.40% |
3 Yr | -6.9%* | -16.6% | 69.4% | N/A |
5 Yr | N/A* | -13.2% | 32.4% | N/A |
10 Yr | N/A* | -12.4% | 11.5% | N/A |
* Annualized
Return Ranking - Calendar
Period | NTSE Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | 6.7% | -50.1% | 15.9% | N/A |
2022 | -28.6% | -26.9% | 16.3% | N/A |
2021 | N/A | -7.2% | 79.7% | N/A |
2020 | N/A | -14.2% | 9.4% | N/A |
2019 | N/A | -11.5% | 24.0% | N/A |
Total Return Ranking - Trailing
Period | NTSE Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | 7.1% | -50.8% | 17.4% | 99.64% |
1 Yr | 14.0% | -50.4% | 30.2% | 98.53% |
3 Yr | -6.9%* | -16.6% | 69.4% | N/A |
5 Yr | N/A* | -13.2% | 32.4% | N/A |
10 Yr | N/A* | -12.4% | 11.5% | N/A |
* Annualized
Total Return Ranking - Calendar
Period | NTSE Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | 9.5% | -50.1% | 15.9% | N/A |
2022 | -26.3% | -18.2% | 16.3% | N/A |
2021 | N/A | -7.2% | 79.7% | N/A |
2020 | N/A | -14.2% | 10.3% | N/A |
2019 | N/A | -9.7% | 24.0% | N/A |
NTSE - Holdings
Concentration Analysis
NTSE | Category Low | Category High | NTSE % Rank | |
---|---|---|---|---|
Net Assets | 52.3 M | 717 K | 102 B | 83.99% |
Number of Holdings | 421 | 7 | 6734 | 17.76% |
Net Assets in Top 10 | 8.38 M | 3.7 K | 19.3 B | 71.04% |
Weighting of Top 10 | 31.42% | 2.8% | 71.7% | 3.00% |
Top 10 Holdings
- Taiwan Semiconductor Manufacturing Co Ltd 10.95%
- Samsung Electronics Co Ltd 5.14%
- Tencent Holdings Ltd 4.51%
- Alibaba Group Holding Ltd 2.23%
- Reliance Industries Ltd 1.77%
- Naspers Ltd 1.63%
- SK Hynix Inc 1.52%
- Hon Hai Precision Industry Co Ltd 1.26%
- ICICI Bank Ltd 1.23%
- China Construction Bank Corp 1.18%
Asset Allocation
Weighting | Return Low | Return High | NTSE % Rank | |
---|---|---|---|---|
Stocks | 87.74% | 0.90% | 110.97% | 98.69% |
Cash | 9.34% | -23.67% | 20.19% | 92.61% |
Preferred Stocks | 2.41% | 0.00% | 2.67% | 65.44% |
Other | 0.50% | -1.48% | 9.95% | 61.74% |
Convertible Bonds | 0.00% | 0.00% | 7.40% | 58.40% |
Bonds | 0.00% | -0.03% | 55.68% | 1.31% |
Stock Sector Breakdown
Weighting | Return Low | Return High | NTSE % Rank | |
---|---|---|---|---|
Utilities | 0.00% | 0.00% | 39.12% | 34.85% |
Technology | 0.00% | 0.00% | 47.50% | 38.92% |
Real Estate | 0.00% | 0.00% | 17.15% | 59.16% |
Industrials | 0.00% | 0.00% | 43.53% | 82.99% |
Healthcare | 0.00% | 0.00% | 93.26% | 65.27% |
Financial Services | 0.00% | 0.00% | 48.86% | 57.72% |
Energy | 0.00% | 0.00% | 26.66% | 34.97% |
Communication Services | 0.00% | 0.00% | 46.62% | 16.53% |
Consumer Defense | 0.00% | 0.00% | 28.13% | 65.87% |
Consumer Cyclical | 0.00% | 0.00% | 48.94% | 37.60% |
Basic Materials | 0.00% | 0.00% | 30.03% | 42.63% |
Stock Geographic Breakdown
Weighting | Return Low | Return High | NTSE % Rank | |
---|---|---|---|---|
Non US | 84.04% | -4.71% | 112.57% | 97.97% |
US | 3.70% | -1.60% | 104.72% | 87.72% |
NTSE - Expenses
Operational Fees
NTSE Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Expense Ratio | 0.32% | 0.01% | 2.69% | 92.32% |
Management Fee | 0.32% | 0.00% | 2.00% | 5.97% |
12b-1 Fee | N/A | 0.00% | 1.00% | N/A |
Administrative Fee | N/A | 0.01% | 0.85% | N/A |
Sales Fees
NTSE Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Front Load | N/A | 0.00% | 5.75% | N/A |
Deferred Load | N/A | 1.00% | 5.00% | N/A |
Trading Fees
NTSE Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Max Redemption Fee | N/A | 0.40% | 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.
NTSE Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Turnover | N/A | 0.00% | 190.00% | 0.61% |
NTSE - Distributions
Dividend Yield Analysis
NTSE | Category Low | Category High | NTSE % Rank | |
---|---|---|---|---|
Dividend Yield | 1.26% | 0.00% | 13.22% | 17.32% |
Dividend Distribution Analysis
NTSE | Category Low | Category High | Category Mod | |
---|---|---|---|---|
Dividend Distribution Frequency | Quarterly | Annually | Quarterly | Annually |
Net Income Ratio Analysis
NTSE | Category Low | Category High | NTSE % Rank | |
---|---|---|---|---|
Net Income Ratio | N/A | -1.98% | 17.62% | 8.04% |
Capital Gain Distribution Analysis
NTSE | Category Low | Category High | Capital Mode | |
---|---|---|---|---|
Capital Gain Distribution Frequency | Annually | Annually | Annually |
Distributions History
Date | Amount | Type |
---|---|---|
Jun 25, 2024 | $0.095 | OrdinaryDividend |
Mar 22, 2024 | $0.075 | OrdinaryDividend |
Dec 22, 2023 | $0.065 | OrdinaryDividend |
Sep 25, 2023 | $0.370 | OrdinaryDividend |
Jun 26, 2023 | $0.185 | OrdinaryDividend |
Mar 27, 2023 | $0.070 | OrdinaryDividend |
Dec 23, 2022 | $0.154 | OrdinaryDividend |
Sep 26, 2022 | $0.425 | OrdinaryDividend |
Jun 24, 2022 | $0.155 | OrdinaryDividend |
Mar 25, 2022 | $0.120 | OrdinaryDividend |
Dec 27, 2021 | $0.157 | OrdinaryDividend |
Dec 07, 2021 | $0.263 | OrdinaryDividend |
Sep 24, 2021 | $0.300 | OrdinaryDividend |
Jun 24, 2021 | $0.060 | OrdinaryDividend |
NTSE - Fund Manager Analysis
Managers
Marlene Walker-Smith
Start Date
Tenure
Tenure Rank
May 18, 2021
1.04
1.0%
Marlene is head of equity index portfolio management. She leads the team of equity index portfolio managers managing US and non-US equity index portfolios and is responsible for the refinement and implementation of the entire equity index portfolio management process. Previously, Marlene served as a senior portfolio manager within the equity index team and prior to joining the equity index team was an equity trader for the firm. Prior to joining the firm in 1995, Marlene was a trader for Banc One Investment Advisors Corporation and a brokerage services manager for Mid Atlantic Capital Corporation. Marlene has been in the investment industry since 1990. Marlene earned an MBA in finance from the University of Pittsburgh and a BA in history and Russian from Washington & Jefferson College.
David France
Start Date
Tenure
Tenure Rank
Jun 30, 2021
0.92
0.9%
Mr. France is a vice president and senior portfolio manager at Mellon. He has been employed by Mellon or a predecessor company since 2009.
Todd Frysinger
Start Date
Tenure
Tenure Rank
Jun 30, 2021
0.92
0.9%
Mr. Frysinger is a vice president and senior portfolio manager at Mellon. He has been employed by Mellon or a predecessor company since 2007.
Vlasta Sheremeta
Start Date
Tenure
Tenure Rank
Jun 30, 2021
0.92
0.9%
Ms. Sheremeta is a vice president and senior portfolio manager at Mellon. She has been employed by Mellon or a predecessor company since 2011.
Michael Stoll
Start Date
Tenure
Tenure Rank
Jun 30, 2021
0.92
0.9%
Mr. Stoll is a vice president and senior portfolio manager at Mellon. He has been employed by Mellon or a predecessor company since 2005.
Tenure Analysis
Category Low | Category High | Category Average | Category Mode |
---|---|---|---|
0.09 | 33.71 | 6.43 | 13.42 |