In the edition of The Week Ahead, Chris Versace discusses the October data being reported this week and why the market will be focusing on the latest CPI and PPI data ahead of an appearance by Fed Chair Powell on Thursday. We also examine the impact of last week’s significant move in the market and why caution is warranted ahead of this week’s economic data and earnings reports.
We also examine the impact of last week’s significant move in the market and why caution is warranted ahead of this week’s economic data and earnings reports.
The Strategies Behind Our Thematic Models
- Aging of the Population – Capturing the demographic wave of the aging population and the changing demands it brings with it.
- Artificial Intelligence – Software, chips, and related companies that facilitate the collection and analysis of large data sets and autonomous generation of solutions given non-machine language prompts.
- Cash-Strapped Consumers – Companies poised to benefit as consumers stretch the disposable spending dollars they do have.
- CHIPs Act – Capturing the reshoring of the US semiconductor industry and the $52.7 billion poised to be spent on semiconductor manufacturing.
- Cloud Computing – Companies that provide hardware and services that enhance the cloud computing experience for users, such as co-location, security, and edge computing.
- Core Holdings – Companies that reflect economic activity and are large enough to not get pushed around by day-to-day market trends. Low-beta, large-cap names able to better withstand economic turmoil.
- Cybersecurity – Companies that focus on protecting against the penetration of corporate digital networks and the theft, ransom, corruption, or destruction of data.
- Digital Infrastructure & Connectivity –The buildout and upgrading of our Networks, Data Storage Facilities, and Equipment.
- Digital Lifestyle – The companies behind our increasingly connected lives.
- Data Privacy & Digital Identity – Companies providing the tools and services that verify authorized users and safeguard personal data privacy.
- EV Transition – Capturing the transition to EVs and related infrastructure from combustion engine vehicles.
- Guilty Pleasure – Companies that produce/provide food and drink products that consumers tend to enjoy regardless of the economic environment and potential long-term health hazards associated with excessive consumption.
- Homebuilding & Materials – Ranging from homebuilders to key building product companies that serve the housing market, this model looks to capture the rising demand for housing, one that should benefit as the Fed returns monetary policy to more normalized levels.
- Market Hedge Model – This basket of daily reset swap-based broad market inverse ETFs protects in the face of market pullbacks, overbought market technicals, and other drivers of market volatility.
- Nuclear Energy & Uranium – Companies that either build and maintain nuclear power plants or are involved in the production of uranium.
- Luxury Buying Boom – Tapping into aspirational buying and affluent buyers amid rising global wealth.
- Precision Ag & Agri Science – Companies that look to address shrinking arable land by helping maximize crop yields utilizing technology, science, or both.
- Rebuilding America – Turning the focused spending on rebuilding US infrastructure into revenue and profits.
- Safety & Security – Targeted exposure to companies that provide goods and services primarily to the Defense and security sectors of the economy.
- Space Economy – Companies that focus on the launch and operation of satellite networks.
The Strategies Behind Our Dividend Income Models
- Monthly Dividend Model – Pretty much what the name indicates – this model invests in companies that pay monthly dividends to shareholders.
- ETF Dividend Model – High-yielding ETFs that provide a range of exposures from domestic equities, international equities, emerging market equities, MLPS, and REITs.
- ETF Enhanced Dividend Model – A group of high-yielding ETFs that utilize options to enhance yield through collecting option income.
