The Fedz - Print 2 Earn
  • Stability Under Stress: The Fedz's Innovative Approach
  • Improving Upon Previous Attempts
  • Tokenomics
  • FUSD - The Fedz Synthetic Dollar
    • Private Liquidity Pool
      • Example: Private Liquidity Pools & Open Market Liquidity Pools
      • Example: Navigating Market Fluctuations in "The Fedz" Ecosystem
  • sbFUSD, Staking, and Printing FUSD: The Stability Engine of TheFedz
  • The Fedz Elements and Rules
    • How to Join The Fedz
    • The Fedz Game
    • Rule Book
  • The Fedz: A New Approach to Studying Bank Runs in Field Conditions
    • Invitation to Researchers
  • Background on Bank Stability
    • Academic Research and The Fedz Context
      • Kiss et al. (2012) on Deposit Insurance and Observability
      • Demirgüc-Kunt and Detragiache (2002) on Deposit Insurance and Market Discipline
      • Demirgüc-Kunt and Huizinga (2004) on Market Discipline
      • Madies (2006) on Partial Deposit Insurance
      • Schotter and Yorulmazer (2009) on Observability and Insurance
      • Preventing (panic) bank runs Hubert J. Kiss 2022
      • William A. Branch eta al (2022) on Noise and Sunspots in Financial Models
      • Andolfatto (2017) on Preventing Bank Runs
      • Diamond and Dybvig meet money: Are deposit contracts efficient after all? (D. Rivero, H. Rodrıguez)
      • Starr and Yilmaz (2007) on Social Networks
      • Jacklin (1987) on Investment Technology
      • Leveraging Axelrod's (1984) Game Theory for Enhanced Cooperation in The Fedz
    • Key hypothesis & Research Terms
      • Dynamic Reward System (After-Tax) in The Fedz Ecosystem
      • Isolated Decision-Making in The Fedz Ecosystem
      • Decentralized Clearinghouse and Governance in The Fedz Ecosystem
      • Decentralized Bailout in The Fedz Ecosystem
      • Privileged Access and Sustained Stability in The Fedz
    • Contributions to Future Research
    • TBD - ZK for keeping the NFT player choice and deal with it together at the end of the round.
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On this page
  • Introduction
  • Conceptual Framework of the Diamond-Dybvig Model
  • Implementation in The Fedz Ecosystem
  • Addressing Liquidity and Stability
  • Expected Effects on Financial Stability
  • Conclusion
  1. Background on Bank Stability
  2. Key hypothesis & Research Terms

Dynamic Reward System (After-Tax) in The Fedz Ecosystem

Introduction

The Fedz ecosystem integrates a dynamic reward system inspired by the Diamond-Dybvig model (1983), which addresses the fundamental issues of liquidity and depositor confidence to prevent bank runs. The dynamic reward system in The Fedz enhances stability by incentivizing stakers through a mechanism that adjusts rewards based on after-tax contributions and withdrawals, promoting long-term engagement and reducing the likelihood of mass withdrawals.

Conceptual Framework of the Diamond-Dybvig Model

The Diamond-Dybvig model provides a theoretical framework for understanding bank runs, deposit insurance, and liquidity. It highlights how banks transform short-term deposits into long-term investments, creating a liquidity mismatch that can lead to bank runs if depositors simultaneously withdraw their funds. The model also shows that deposit insurance can mitigate this risk by assuring depositors that their funds are safe, thus preventing panic withdrawals.

Implementation in The Fedz Ecosystem

Dynamic Reward System

The Fedz implements a dynamic reward system that draws on the principles of the Diamond-Dybvig model. This system adjusts rewards for stakers based on their after-tax behavior, aligning incentives with long-term stability. Key components include:

  1. Variable Rewards: Stakers earn rewards that vary depending on their staking duration and the amount staked. Longer staking periods and larger stakes yield higher rewards, encouraging long-term commitment.

  2. After-Tax Adjustments: Withdrawals are taxed, and the remaining staked amounts are used to calculate rewards. This discourages frequent withdrawals and promotes stability.

  3. Insurance Mechanism: Similar to deposit insurance, the system provides a safety net by guaranteeing a minimum reward level, assuring stakers of their earnings and reducing panic-induced withdrawals.

Addressing Liquidity and Stability

By implementing a dynamic reward system, The Fedz addresses liquidity and stability in several ways:

  1. Incentivizing Long-Term Staking: The reward system encourages stakers to keep their funds in the ecosystem for longer periods, reducing the risk of sudden mass withdrawals.

  2. Mitigating Short-Term Liquidity Demands: By taxing withdrawals, the system discourages short-term liquidity demands, ensuring that more funds remain staked.

  3. Enhancing Confidence: The insurance mechanism guarantees minimum rewards, providing stakers with confidence in the stability of their investments.

Expected Effects on Financial Stability

The dynamic reward system in The Fedz ecosystem is designed to enhance financial stability through the following mechanisms:

  1. Reduced Withdrawal Frequency: By adjusting rewards based on after-tax contributions, the system reduces the frequency of withdrawals, promoting stability.

  2. Increased Staker Confidence: The insurance mechanism and variable rewards build confidence among stakers, encouraging long-term engagement.

  3. Enhanced Liquidity Management: The system ensures better liquidity management by aligning staker incentives with the overall stability of the ecosystem.

Conclusion

The dynamic reward system in The Fedz ecosystem, inspired by the Diamond-Dybvig model, offers a robust solution to the challenges of liquidity and depositor confidence. By incentivizing long-term staking and managing short-term liquidity demands through after-tax adjustments, the system promotes financial stability and reduces the risk of bank runs. This innovative approach aligns with the principles of transparency and collective decision-making that underpin The Fedz ecosystem, ensuring a stable and resilient financial environment.

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Last updated 1 year ago