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Tutorial - Coates - XML Summer School 2009

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Giới thiệu

This mind map, titled 'Tutorial - Coates - XML Summer School 2009', explores how XML and data transparency could have mitigated the 2008 financial crisis. With 57 nodes across 7 main branches, it examines the roles of Bank, Company, Investor, Market, Regulator, Key Issues, and Possible Solutions. Key nodes include 'Mortgage Backed Security', 'Ninja' (mortgage customer), and 'XBRL model'. The template argues that mandating machine-readable product details and risk data reporting could enable better oversight. It is licensed under Creative Commons Attribution-Noncommercial-Share Alike 3.0.

Điều khoản sử dụng

Khi nào dùng mẫu này

Economics or finance professors and students

Teaching a course on financial regulation or the 2008 crisis and needing a structured overview of systemic failures.

Regulatory policy makers and compliance officers

Preparing a presentation on how data standards like XML/XBRL can improve market transparency.

Risk managers and IT architects in banking

Brainstorming solutions for risk management in financial institutions with a focus on data reporting.

Cách dùng mẫu này

Bước 1

Launch and Explore Core Branches

Open the template in Xmind to review the seven main branches covering stakeholders like Banks, Regulators, and Investors.

Bước 2

Analyze Detailed Financial Data Nodes

Examine specific nodes and their comments to understand how XML and XBRL models could have provided better market transparency.

Bước 3

Customize and Share Your Analysis

Personalize the map by adding your own notes or branches before exporting the final analysis as a PDF or image.

Câu hỏi thường gặp

It argues that mandating machine-readable product details and risk data reporting using XML standards like XBRL could have provided transparency to avert the 2008 recession.

The template examines Bank (InvestmentBank, Mortgage Customer), Company, Investor, Market (Share, Bond, Derivative), Regulator, and identifies Key Issues and Possible Solutions.

By mandating banks to send risk data daily in a format like XBRL, regulators could aggregate market-wide data for timely risk scenario calculations.

'Ninja' refers to a mortgage customer with No Income, No Job, and no Assets, highlighting risky lending practices before the crisis.

Yes, it is licensed under Creative Commons Attribution-Noncommercial-Share Alike 3.0, allowing free use and modification with attribution.

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