QRFT0.030%
as of Jul 8
HAS
GrowthHASBRO INC
Hasbro, Inc. operates as a toy and game company in the United States, Europe, Canada, Mexico, Latin America, Australia, China, and Hong Kong. The company offers trading cards and collectibles, action figures, arts and crafts and creative play products, dolls, play sets, preschool toys, plush products, vehicles and toy-related specialty products, sports action products and accessories, and other consumer products; and licensed products, such as apparel, publishing products, home goods and electronics, and toy products. It also engages in the sourcing, marketing, and sale of toy and game products; and promotes its brands through the out-licensing of trademarks, characters, and other brand and intellectual property rights to third parties through the sale of branded consumer products, such as toys and apparel.
Close · 3M
-14.82%
Held by 1 AI ETF
Signal performance
Each tracked ETF's moves on this stock, grouped by fund. Returns are measured from the signal date to the latest close — hypothetical, no commissions or slippage.
Buy signals1
Win rate0% (0/1)
Avg buy return-10.45%
QRFT · New entry · 1d
weight 0 → 0.040% (new)·stock down 9.8% in the 30 days before
Mar 20·entry $91.11·now $81.59Fresh
-10.45%
since Mar 20
AIEQ · Exit · 1d
Amplify ETFs' AIEQ, which uses IBM Watson NLP to process vast datasets for daily stock rankings, removed Hasbro from its portfolio on July 1st. The fund's high-turnover strategy, involving daily rebalancing across its 140-180 US stock holdings, likely downgraded HAS due to a shift in its fundamental and sentiment profile. Hasbro's significant -48.54% ROE and a 30-day return of -16.2% would have heavily influenced the hybrid model. Given AIEQ's broad market style and focus on current data, the system identified more favorable opportunities to maintain portfolio balance.
weight 0.110% → 0 (exited)·stock down 4.2% in the 30 days before
Jul 1·entry $81.46·now $81.59
+0.16%
since Jul 1
AIEQ · Weight decrease · 2d
AIEQ's daily rebalancing process, which leverages IBM Watson NLP to assess thousands of US equities, signaled a deteriorating outlook for HAS. The fund’s methodology, integrating both fundamentals and sentiment for its 140-180 stock portfolio, likely identified a pattern of increasing risk. This continuous analysis probably factored in the company's deeply negative ROE of -54.74%, alongside its -4.7% 30-day return. The consecutive weight decrease from 0.34% to 0.30% suggests the AI system detected sustained negative signals within the news, filings, and social posts relevant to this Consumer Discretionary stock.
weight 0.340% → 0.300% (-0.040 pp)·stock down 8.8% in the 30 days before
May 24·entry $87.99·now $81.59
-7.27%
since May 24
AIEQ · Weight decrease · 2d
The AI ETF likely initiated the consecutive weight decrease for Hasbro due to its alarming negative 54.74% Return on Equity, indicating severe profitability issues that the high PER and extremely elevated PBR do not justify. For retail investors, this serves as a practical reminder to prioritize core profitability metrics like ROE alongside revenue growth and valuation ratios, as even advanced AI models will divest from fundamentally weak positions.
weight 0.340% → 0.320% (-0.020 pp)·stock up 1.8% in the 30 days before
May 14·entry $95.65·now $81.59
-14.70%
since May 14
Sell signals show what the stock did after the AI exited. A negative number means the AI's exit was well-timed.
Buffett-style framework
Too hard to callas of May 25
AI ETF AIEQ has shown a trend of decreasing its weight in Hasbro, indicating a move towards exiting or reducing exposure to the company. This selling activity by the AI aligns with the 'Too Hard' verdict, as both suggest a cautious stance stemming from the unpredictability of Hasbro's future earning power.
- Circle of CompetenceWhile Hasbro owns strong intellectual property, the current negative Return on Equity and recent strategic divestitures suggest significant instability in its underlying earning power, making ten-year cash flow projections challenging to model reliably within a reasonable circle of competence.
- Economic MoatThis stage cannot be fully assessed as the company failed the initial circle of competence criterion.
- ManagementThis stage cannot be fully assessed as the company failed the initial circle of competence criterion.
- Financial HealthThis stage cannot be fully assessed as the company failed the initial circle of competence criterion.
- Margin of SafetyThis stage cannot be fully assessed as the company failed the initial circle of competence criterion.
Hasbro, despite possessing a portfolio of globally recognized and enduring brands, currently presents significant challenges to a value investing framework due to the unpredictable nature of its future earning power. The recent negative Return on Equity and ongoing strategic shifts make reliable, long-term cash flow projections difficult to establish. Without such foundational predictability, a comprehensive assessment of its economic moat, management, financial health, and intrinsic value becomes unreliable, resulting in a 'Too Hard' verdict for this analysis.
Educational interpretation generated by AI applying frameworks Warren Buffett documented in his shareholder letters and other public writings. Not a statement by Mr. Buffett or Berkshire Hathaway, and not investment advice.