Fundstrat's Tom Lee: We're not falling into a recession, we are slipping into an expansion

CNBC Television
16 Jun 202304:27
EducationalLearning
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TLDRTom Lee, the biggest bull on Wall Street with an S&P target of 4700, argues this is an inflation war, not a traditional Fed tightening cycle. He believes the Fed will stop tightening sooner than expected as inflation expectations have collapsed. With earnings bottoming out and the economy recovering, he sees a potential expansion and bull run to retest old highs. He recommends tech stocks like CISCO as the market broadens beyond FAANG names. While optimistic on further upside, he cautions investors that markets don't go straight up and some tactical pullbacks are likely.

Takeaways
  • πŸ˜€ Tom Lee sees the stock market rallying as the Fed's inflation fight nears its end
  • πŸ“ˆ He believes stocks will pin themselves to previous highs as cyclicals lead
  • πŸ’‘ Lee says the Fed will stop tightening once inflation expectations break, not the economy
  • πŸ“‰ Consumer 1-year inflation expectations have collapsed to 3.3%
  • πŸ”„ Rather than falling into recession, the economy may be entering an expansion
  • πŸ‘ Earnings are bottoming and CEOs see the economy bottoming out
  • πŸ“Š Tech remains a top sector pick, but the focus is on tech laggards and adjacent spaces
  • πŸ”Ž Cisco and Juniper offer growth potential at reasonable valuations
  • 😎 Consumer discretionary should benefit from broadening market and fading inflation
  • ⚠️ Tactical pullbacks are still possible despite momentum
Q & A
  • What is Tom Lee's role and why is he notable?

    -Tom Lee is the Head of Research at Fundstrat and a CNBC contributor. He is considered the biggest bull on Wall Street with an S&P target of 4700.

  • What is Tom Lee's view on the current market rally?

    -Tom Lee believes the market rally is being driven by a changing framework - that this is an inflation war, not a traditional business cycle. He thinks the Fed will stop tightening sooner than expected.

  • How does Tom Lee explain the shift to an economic expansion?

    -Tom Lee cites improving Q2 earnings ex-energy being up year-over-year as evidence that earnings have bottomed. He also references comments from Morgan Stanley's CEO who feels the economy has bottomed and is on a trajectory for the Fed to cool off, leading to an early cycle expansion.

  • Why is Tom Lee bullish on tech stocks outside the major AI players?

    -Tom Lee is bullish on tech stocks like Cisco and Juniper because he expects a broadening stock market recovery that includes adjacent plays to AI like networking equipment. These stocks also have relatively low valuations that could expand with sustained growth.

  • What is the basis for Tom Lee's bullish S&P target?

    -Tom Lee's S&P target of 4700 is based on his expectation of a broadening stock market recovery, especially if small caps start to participate more. However, he acknowledges tactical pullbacks are still possible.

  • What evidence does Tom Lee cite for fading inflation expectations?

    -Tom Lee cites the collapse in the 1-year inflation expectations survey to 3.3% as evidence that consumer inflation expectations are rapidly falling. This suggests the Fed's inflation fight is working.

  • What shift does Tom Lee expect compared to traditional Fed tightening cycles?

    -Unlike typical cycles, Tom Lee doesn't expect Fed tightening to break the economy. He thinks the Fed will stop sooner, when inflation expectations break, allowing earnings and the economy to rebound.

  • What similarities does Tom Lee see to past inflation wars?

    -Tom Lee notes that after past inflation wars ended, the stock market recovered to pre-bear market levels relatively quickly. He sees potential for that again, with cyclicals leading the way after surviving the inflation fight.

  • Why does Tom Lee expect FAANG stocks to continue leading?

    -While acknowledging the potential for a broadening market, Tom Lee says FAANG remains his top sector pick given the growth potential if trailing names like Meta can sustain momentum. He sees adjacencies like equipment benefitting too.

  • What warnings does Tom Lee give about the potential market recovery?

    -Despite his bullishness, Tom Lee warns that nothing goes straight up. He acknowledges potential for tactical market pullbacks still, perhaps caused by a spike in volatility.

Outlines
00:00
πŸ“ˆ Market outlook and Fed policy

Tom Lee discusses the market rally and outlook for rest of 2023. He says inflation expectations have collapsed which means the Fed may stop tightening sooner than expected. This could lead to an economic expansion rather than recession. Cyclical stocks have survived the inflation war and earnings have bottomed, supporting a bullish view.

Mindmap
Keywords
πŸ’‘Layoffs
Layoffs refer to the termination of employment of employees by an employer as a cost-cutting measure or due to organizational restructuring. In the context of the video, layoffs are mentioned in the backdrop of an economic environment where businesses are aiming for efficiency. Despite such layoffs, the conversation suggests a broader economic analysis, indicating that layoffs might not be the sole indicator of economic health or market performance.
πŸ’‘Efficiency
Efficiency in an economic or business context refers to how effectively resources, such as labor and capital, are used to produce goods and services. The year being described as 'the year of efficiency' implies a focus on improving productivity and cost management across industries. This theme is relevant to the discussion as it sets the stage for understanding market dynamics and corporate strategies under tight economic conditions.
πŸ’‘Fed Tightening Cycle
The Federal Reserve (Fed) Tightening Cycle refers to periods when the Fed raises interest rates to control inflation and stabilize the economy. The script challenges the conventional view of the tightening cycle as merely an economic brake, suggesting instead that the current cycle is an 'inflation war.' This concept is critical as it frames the Fed's actions in a unique light, emphasizing the fight against inflation over traditional economic slowing mechanisms.
πŸ’‘Inflation War
An 'Inflation War' refers to concerted efforts by a country's central bank, in this case, the Federal Reserve, to combat high inflation levels. The term as used in the video underscores the severity and focus of the Fed's current monetary policy actions. The discussion points out that the Fed's strategy differs from past approaches, aiming for a decisive break in inflation expectations, a shift that significantly impacts investment outlooks and market dynamics.
πŸ’‘Market Rally
A market rally is a period during which stock prices increase across many sectors of the market. The video's reference to the rally investors are witnessing suggests optimism in the stock market, possibly fueled by the anticipation or realization of favorable economic conditions or policies. The conversation ties this rally to the broader economic narrative, questioning how sustained such a rally might be in the face of ongoing economic policies and adjustments.
πŸ’‘Earnings Bottomed
The term 'earnings bottomed' suggests that corporate earnings, after a period of decline, have reached their lowest point and are expected to recover. This concept is crucial in the discussion as it signals a potential turning point in the economic cycle, with implications for investment strategies. The mention of Q2 earnings and analysis from industry leaders like Jack Gorman supports the view that the economy might be shifting from recessionary fears to expansion.
πŸ’‘Expansion
In economic terms, expansion refers to a phase of the business cycle where economic activity is growing, marked by increased production, employment, and consumer spending. The video posits that instead of entering a recession, the economy is slipping into an expansion, a significant shift that influences market sentiment and investment opportunities, particularly in early cycle trades.
πŸ’‘FAANG
FAANG is an acronym for five high-performing tech companies in the stock market: Facebook (now Meta), Amazon, Apple, Netflix, and Google (now Alphabet). In the video, FAANG is mentioned as the number one sector pick, suggesting a bullish outlook on these tech giants, despite the broader discussion also including tech and consumer discretionary sectors outside the most prominent AI plays.
πŸ’‘Cyclicals
Cyclical stocks are those whose performance is heavily dependent on the economic cycle. They tend to perform well when the economy is expanding and poorly during downturns. The video highlights cyclicals leading the charge back to pre-crisis levels, indicating that these companies, having weathered the 'inflation war,' are now poised for growth in a recovering economy.
πŸ’‘Valuation
Valuation refers to the process of determining the present value of a company or asset. It is a central theme when discussing investment attractiveness. In the video, the discussion around valuations, particularly in the context of tech companies outside the AI spotlight, underlines the importance of assessing whether current prices reflect underlying business prospects, especially for companies like Cisco and Juniper, which are viewed as potentially undervalued.
Highlights

Introduced a new deep learning model called BERT that achieved state-of-the-art performance on NLP tasks

BERT uses bidirectional training of Transformer, an attention model, to learn contextual word representations

Fine-tuning BERT led to significant performance gains on a wide range of NLP tasks with minimal task-specific modifications

BERT has a simple architecture with only attention and feed-forward layers, making it highly generalizable

BERT representations capture rich syntactic and semantic information about words and their relationships

Pre-trained BERT models can be adapted to downstream tasks by adding just an output layer

BERT advanced the state-of-the-art in 11 NLP tasks including question answering, textual entailment, sentiment analysis

BERT showed the importance of pre-trained deep bidirectional representations for NLP

BERT sparked significant interest in developing pre-trained language models for transfer learning

BERT demonstrated that large-scale self-supervised pre-training is feasible and beneficial for NLP

BERT's masked language modeling objective helps learn powerful contextual representations

BERT representations encode both semantic and syntactic information in one unified framework

BERT had a transformative impact on NLP, enabling more human-like language understanding

BERT motivated a paradigm shift in NLP toward transfer learning from large pre-trained models

BERT demonstrated the potential of Transformer models and self-supervision at scale for NLP

Transcripts
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