{
  "title": "What is Really New in Fintech",
  "publication": "IMF Blog, December 17, 2020",
  "sourceUrl": "https://www.imf.org/en/blogs/articles/2020/12/17/what-is-really-new-in-fintech",
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  "summary": "Publication date: December 17, 2020.",
  "sections": [
    {
      "heading": "Overview",
      "content": "- Publication date: December 17, 2020.\n- Authors: Arnoud Boot, Peter Hoffmann, Luc Laeven, Lev Ratnovski.\n- Central question: Which transformative aspects of recent financial innovation can uproot finance as we know it, and which policy challenges will the transformation of finance bring?\n- Key premise: Financial innovation today splits into two distinct dimensions—information and communication—each with transformative components."
    },
    {
      "heading": "New types of information",
      "content": "- Core finding: The most transformative information innovation is expanded use of alternative data from customers’ digital footprints for credit-worthiness analysis.\n- Traditional method: Credit scoring using hard information (income, employment time, assets and debts).\n  - Limitations of hard information:\n    - Hard information tends to be “procyclical”: it boosts credit expansion in good times but exacerbates contraction during downturns.\n    - Many people (new entrepreneurs, innovators, informal workers, expatriates) may lack sufficient hard data to access credit.\n- Fintech solution:\n  - Taps nonfinancial data: type of browser and hardware used to access the internet, history of online searches and purchases.\n  - When powered by artificial intelligence and machine learning, these alternative data sources are often superior to traditional credit assessment methods.\n  - Potential impact: advance financial inclusion by enabling more credit to informal workers and households and firms in rural areas.\n- Quantitative reach:\n  - Fintech’s potential to reach out to over a billion unbanked people around the world."
    },
    {
      "heading": "New communication channels",
      "content": "- Drivers: Digital platforms in social media, mobile communication, and online shopping have penetrated much of consumers’ everyday lives, increasing digital footprints and available data.\n- Platform dynamics:\n  - Platforms like Amazon, Facebook or Alibaba incorporate more financial services into their ecosystems.\n  - Rise of specialized providers competing with banks in payments, asset management, and financial information provision.\n- Effects on banking:\n  - Shift from in-person branch visits to remote online communication improves customer convenience and cost-efficiency of financial intermediation.\n  - Increases geographic competition among banks, enabling service to more distant customers.\n- Usage trends:\n  - The financial sector is already the industry most heavily reliant on computers.\n  - Doubling in use of online banking in the past two decades in the European Union’s 15 largest economies.\n  - Current usage at 50 percent on average, indicating significant room to grow."
    },
    {
      "heading": "Policy challenges",
      "content": "- Prudential regulation:\n  - Regulators must assess operational risks of new lending technologies and business models, which face their first real-life stress test during the COVID-19 downturn.\n  - Need to ensure regulatory agencies’ expertise matches industry capabilities as more talent enters financial technology and innovation accelerates.\n- Other risks:\n  - Cybersecurity: increased online services for financial institutions and customers create potential new opportunities for criminals.\n  - Regulatory arbitrage: business models may be tailored to reduce regulatory oversight.\n- Monetary policy implications:\n  - Procyclical bias of hard information may require central bankers to be more “countercyclical” (i.e., potentially overcompensate with stimulating or cooling measures stronger than actual economic developments would warrant).\n  - New monetary policy transmission channels need to be fully understood.\n  - As new players make banks less relevant, central banks may need to adjust their monetary policy implementation toolbox, potentially allowing nonbanks access to liquidity lines and incorporating them in their operations.\n- Competition and data policy:\n  - Competition policy must address monopolistic tendencies of large digital platforms driven by network effects and convergence to a few large platforms.\n  - Data policies are critical to ensure consumer privacy and efficient and safe collection, processing, and exchange of data."
    },
    {
      "heading": "Conclusions and recommendations",
      "content": "- Pace and nature of change:\n  - Much technological progress in finance is evolutionary, but its pace is accelerating fast.\n  - Fintech’s potential to reach out to over a billion unbanked people around the world, and the changes in financial system structure this can induce, can be revolutionary.\n- Policy guidance:\n  - Governments should follow and carefully support the technological transition in finance.\n  - It is important to adjust policies accordingly and stay ahead of the curve.\n- Research context:\n  - The blog is based on an IMF Working Paper, “Financial Intermediation and Technology: What’s Old, What’s New?” published in August 2020.\n\nSource: What is Really New in Fintech (IMF blog, December 17, 2020).\n\n---\n\n\n References\n\n- Recent IMF and ECB staff research\n- new specialized providers that compete with banks in payments\n- cybersecurity risks\n\nSource: https://www.imf.org/en/blogs/articles/2020/12/17/what-is-really-new-in-fintech"
    }
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    "Authors: Arnoud Boot, Peter Hoffmann, Luc Laeven, Lev Ratnovski",
    "Published: December 17, 2020",
    "Publication date: December 17, 2020.",
    "Authors: Arnoud Boot, Peter Hoffmann, Luc Laeven, Lev Ratnovski.",
    "Central question: Which transformative aspects of recent financial innovation can uproot finance as we know it, and which policy challenges will the transformation of finance bring?",
    "Key premise: Financial innovation today splits into two distinct dimensions—information and communication—each with transformative components.",
    "Core finding: The most transformative information innovation is expanded use of alternative data from customers’ digital footprints for credit-worthiness analysis.",
    "Traditional method: Credit scoring using hard information (income, employment time, assets and debts).",
    "Fintech solution:",
    "Quantitative reach:",
    "Drivers: Digital platforms in social media, mobile communication, and online shopping have penetrated much of consumers’ everyday lives, increasing digital footprints and available data.",
    "Platform dynamics:",
    "Effects on banking:",
    "Usage trends:",
    "Prudential regulation:",
    "Other risks:",
    "Monetary policy implications:",
    "Competition and data policy:",
    "Pace and nature of change:",
    "Policy guidance:",
    "Research context:",
    "[Recent IMF and ECB staff research](https://www.imf.org/en/Publications/WP/Issues/2020/08/07/Financial-Intermediation-and-Technology-Whats-Old-Whats-New-49624)",
    "[new specialized providers that compete with banks in payments](https://www.imf.org/en/News/Articles/2020/12/11/sp121120-four-cornerstones-of-payments-in-the-digital-age)",
    "[cybersecurity risks](https://blogs.imf.org/2020/12/07/cyber-risk-is-the-new-threat-to-financial-stability/)"
  ],
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