Policy Impact Analysis - 117/S/4099

Bill Overview

Title: STOP CCP Act of 2022

Description: This bill prohibits U.S. persons (generally individuals and entities subject to U.S. jurisdiction) from trading in the publicly traded securities of certain entities that operate or have operated in certain sectors in China, including the defense or surveillance technology sectors.

Sponsors: Sen. Scott, Rick [R-FL]

Target Audience

Population: U.S. persons involved in trading securities of Chinese defense or surveillance companies

Estimated Size: 150000

Reasoning

Simulated Interviews

Investment analyst (San Francisco, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy might cut off lucrative opportunities in emerging markets.
  • Could initially cause a market backlash; however, might stabilize U.S. market reliance.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 8
Year 2 7 8
Year 3 7 8
Year 5 8 9
Year 10 8 9
Year 20 8 9

Stock trader (Boston, MA)

Age: 30 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 2.0 years

Commonness: 12/20

Statement of Opinion:

  • Direct impact is low as exposure is minimal.
  • U.S. policy changes need consistent monitoring, could affect broader market sentiment.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 9
Year 2 9 9
Year 3 9 9
Year 5 9 9
Year 10 9 9
Year 20 9 9

Retired engineer (Houston, TX)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • Unlikely to be directly impacted.
  • Main concern is about overall market stability affecting retirement income.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 7
Year 10 7 7
Year 20 7 7

Tech entrepreneur (New York City, NY)

Age: 42 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Short-term, this will increase costs for companies like mine due to market uncertainty.
  • Possibly beneficial long-term as it may push for U.S. tech innovations.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 8
Year 2 7 8
Year 3 8 9
Year 5 8 9
Year 10 8 9
Year 20 9 9

Financial advisor (Seattle, WA)

Age: 29 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • Could make advising clients on international investments more challenging.
  • Diversification strategy remains key, policy may impact specific client segments.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 7 6
Year 5 7 7
Year 10 7 8
Year 20 8 8

Business owner in manufacturing (Chicago, IL)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 14/20

Statement of Opinion:

  • Policy won't have immediate direct effects on my business.
  • Concerned about broader supply chain costs if China experiences economic repercussions.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 5 5
Year 3 5 5
Year 5 5 5
Year 10 5 5
Year 20 5 5

Entrepreneur in tech sector (Austin, TX)

Age: 36 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 4.0 years

Commonness: 7/20

Statement of Opinion:

  • Might escalate insurance costs for ventures.
  • Could indirectly encourage more U.S. tech investment which we can benefit from.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 9
Year 2 8 9
Year 3 8 9
Year 5 9 9
Year 10 9 9
Year 20 9 9

Researcher in international economics (Miami, FL)

Age: 62 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 11/20

Statement of Opinion:

  • Pros and cons; could stabilize U.S.-China trade tensions longer term.
  • Might necessitate economic adaptations in U.S. trading strategies.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 8
Year 10 9 9
Year 20 9 9

CEO of mid-size tech firm (Denver, CO)

Age: 53 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • Could disrupt potential business expansions into Asian markets.
  • Potential gain in domestic market if U.S. innovation receives boosts.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 8 8
Year 10 8 8
Year 20 8 8

Cryptocurrency investor (Los Angeles, CA)

Age: 34 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 13/20

Statement of Opinion:

  • Traditional financial policies often push growth toward crypto sectors.
  • Minimal impact on my current portfolio; opportunity for growth if market shifts.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 9
Year 2 9 9
Year 3 9 9
Year 5 9 9
Year 10 9 9
Year 20 9 9

Cost Estimates

Year 1: $25000000 (Low: $20000000, High: $30000000)

Year 2: $26000000 (Low: $21000000, High: $31000000)

Year 3: $27000000 (Low: $22000000, High: $32000000)

Year 5: $29000000 (Low: $24000000, High: $34000000)

Year 10: $32000000 (Low: $26000000, High: $38000000)

Year 100: $80000000 (Low: $65000000, High: $95000000)

Key Considerations