Dividend Investing Ideas Center
Critical Facts You Need to Know About Preferred Stocks
Have you ever wished for the safety of bonds, but the return potential...
Name
As of 12/12/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
YTD Return
N/A
1 yr return
N/A
3 Yr Avg Return
N/A
5 Yr Avg Return
N/A
Net Assets
$468 M
Holdings in Top 10
N/A
Expense Ratio 0.75%
Front Load N/A
Deferred Load N/A
Turnover N/A
Redemption Fee N/A
Standard (Taxable)
N/A
IRA
N/A
Fund Type
Exchange Traded Fund
Name
As of 12/12/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
The Fund, an actively-managed exchange-traded fund (“ETF”), seeks to achieve its investment objective by investing in U.S. large capitalization equity securities. The term “granny shot” is a basketball term that refers to an older, unconventional manner of shooting free throws. For the Fund, this term refers to the unique proprietary research process of Fundstrat Capital, LLC (the “Sub-Adviser”). The Sub-Adviser uses this process to select a portfolio of stocks that match certain themes that, in the Sub-Adviser’s assessment, have the potential to fundamentally impact the U.S. economy and stock market. The Sub-Adviser’s investment process is designed to include top-down fundamental analyses, including qualitative assessments of thematic relevance and correlation analysis, followed by a quantitative screening process, as discussed in further detail below.
The Sub-Adviser begins its portfolio construction process by analyzing certain broad research areas, including macro-economics, monetary policy, demographics, behavioral trends, industrial and technology trends, and the business cycle. Through this analysis, the Sub-Adviser seeks to identify themes within each research area that it believes will fundamentally impact the U.S. economy and stock market going forward. Factors considered when determining whether a theme should be incorporated into the investment process include the significance of the theme to the overall economy and equity markets, the probability of the theme materializing, the cross-impact of the theme with other themes, whether the market has already recognized the potential impact of the theme, and the feasibility of investing in the theme.
For example, the rising influence of the millennial generation could be identified and substantiated as one theme (i.e., an investible opportunity) within the larger demographics research area. In this case, the Fund may include target sectors in its process which historically exhibit sensitivity to changes in macroeconomic readings, such as the personal consumption expenditures index. These sectors may include technology, digital services, e-commerce, social media, fintech, and streaming platforms, which align with the millennial generation’s digital-first lifestyle. Additionally, industries focused on health and wellness, sustainable products, and experiences over goods may be likely to benefit from this generation’s values and consumption patterns.
Once a theme is identified, the Sub-Adviser conducts a top-down fundamental analysis of U.S. companies with a market capitalization of over $10 billion. This analysis involves both qualitative and quantitative assessments aimed at identifying sectors and sub-sectors, and ultimately individual companies, within the investment universe that it believes will most benefit from the identified theme.
The Sub-Adviser employs distinct approaches when conducting this top-down process. These include correlation analysis of stock price movements, revenues, and capex (capital expenditures) with the corresponding theme, as well as qualitative assessments of a company’s business focus and strategic alignment with the theme.
Additionally, the Sub-Adviser uses a keyword frequency analysis to identify theme-related terms in transcripts from company earnings calls, investor meetings, and other corporate communications. This transcript analysis helps gauge a company’s alignment with the theme based on how often executives discuss it in strategic discussions.
For example, if the investment theme focuses on the millennial generation, the Sub-Adviser might search for terms like “millennial,” “Gen Y,” “digital engagement,” or “sustainability.” The frequency of such terms helps assess the company’s strategic focus and relevance to the theme, which is then evaluated qualitatively to determine whether the company’s engagement with the theme is substantive. The companies remaining after this top-down analysis make up the pool from which Fund portfolio holdings will be selected and the Sub-Adviser consistently monitors the pool of stocks that represent the investible theme.
Themes will change over time as the Sub-Adviser’s analysis changes. For example, the Sub-Adviser may determine that a specific theme, once a central focus of the Fund’s portfolio construction, no longer offers the best investment opportunities based on evolving qualitative assessments and quantitative data. Themes are generally categorized as being shorter-term (e.g., 6 months) or longer-term (e.g., 3-5 years) in nature; however, the timeframe varies and is ultimately dependent upon the Sub-Adviser’s research process.
After establishing a pool, the Sub-Adviser conducts a proprietary quantitative screening of its constituents. The Sub-Adviser considers several factors when conducting this quantitative screening process including free cash flow, yield parity, leverage, asset turnover, investment, labor intensity, valuation, relative price, momentum, and sentiment. For a stock to be included in the Fund’s final portfolio it must be identified as a top-performer in two or more themes. Finally, the Sub-Adviser gives each qualifying stock an equal weighting in the final portfolio, and reallocates the portfolio to equal weight across each stock every quarter, subject to industry concentration restraints. Please see “Additional Information About the Fund” below, for information about the foregoing financial terms.
Portfolio Attributes
The Fund’s portfolio will generally hold approximately 20 to 50 positions.
The number of themes represented in the Fund’s portfolio will vary over time but generally will be between 5 and 10.
Under normal market circumstances, the Fund will invest at least 80% of its net assets (including any borrowings for investment purposes) in large-cap U.S. companies. The Fund considers large-cap U.S. companies to be those companies with a market capitalization of greater than $10 billion or more. The Fund reallocates its portfolio to an equal weighting once every quarter, ensuring broad exposure across the selected stocks.
Period | GRNY Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | N/A | N/A | N/A | N/A |
1 Yr | N/A | N/A | N/A | N/A |
3 Yr | N/A* | N/A | N/A | N/A |
5 Yr | N/A* | N/A | N/A | N/A |
10 Yr | N/A* | N/A | N/A | N/A |
* Annualized
Period | GRNY Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | N/A | N/A | N/A | N/A |
2022 | N/A | N/A | N/A | N/A |
2021 | N/A | N/A | N/A | N/A |
2020 | N/A | N/A | N/A | N/A |
2019 | N/A | N/A | N/A | N/A |
Period | GRNY Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | N/A | N/A | N/A | N/A |
1 Yr | N/A | N/A | N/A | N/A |
3 Yr | N/A* | N/A | N/A | N/A |
5 Yr | N/A* | N/A | N/A | N/A |
10 Yr | N/A* | N/A | N/A | N/A |
* Annualized
Period | GRNY Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | N/A | N/A | N/A | N/A |
2022 | N/A | N/A | N/A | N/A |
2021 | N/A | N/A | N/A | N/A |
2020 | N/A | N/A | N/A | N/A |
2019 | N/A | N/A | N/A | N/A |
GRNY | Category Low | Category High | GRNY % Rank | |
---|---|---|---|---|
Net Assets | 468 M | N/A | N/A | N/A |
Number of Holdings | N/A | N/A | N/A | N/A |
Net Assets in Top 10 | N/A | N/A | N/A | N/A |
Weighting of Top 10 | N/A | N/A | N/A | N/A |
Weighting | Return Low | Return High | GRNY % Rank | |
---|---|---|---|---|
Stocks | 0.00% | N/A | N/A | N/A |
Preferred Stocks | 0.00% | N/A | N/A | N/A |
Other | 0.00% | N/A | N/A | N/A |
Convertible Bonds | 0.00% | N/A | N/A | N/A |
Cash | 0.00% | N/A | N/A | N/A |
Bonds | 0.00% | N/A | N/A | N/A |
GRNY Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Expense Ratio | 0.75% | N/A | N/A | N/A |
Management Fee | 0.75% | N/A | N/A | N/A |
12b-1 Fee | N/A | N/A | N/A | N/A |
Administrative Fee | N/A | N/A | N/A | N/A |
GRNY Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Front Load | N/A | N/A | N/A | N/A |
Deferred Load | N/A | N/A | N/A | N/A |
GRNY Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Max Redemption Fee | N/A | N/A | N/A | N/A |
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.
GRNY Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Turnover | N/A | N/A | N/A | N/A |
GRNY | Category Low | Category High | GRNY % Rank | |
---|---|---|---|---|
Dividend Yield | 0.00% | N/A | N/A | N/A |
GRNY | Category Low | Category High | Category Mod | |
---|---|---|---|---|
Dividend Distribution Frequency | None |
GRNY | Category Low | Category High | GRNY % Rank | |
---|---|---|---|---|
Net Income Ratio | N/A | N/A | N/A | N/A |
GRNY | Category Low | Category High | Capital Mode | |
---|---|---|---|---|
Capital Gain Distribution Frequency |
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