Shadow Banking

DeFi: Shadow Banking 2.0? ArXiv ID: ssrn-4038788 “View on arXiv” Authors: Unknown Abstract The growth of so-called “shadow banking” was a significant contributor to the financial crisis of 2008, which had huge social costs that we still grapple with t Keywords: shadow banking, financial crisis, systemic risk, regulatory arbitrage, non-bank financial intermediation, Fixed Income Complexity vs Empirical Score Math Complexity: 0.5/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a legal/regulatory analysis using historical case studies and conceptual arguments, with no mathematical modeling or empirical backtesting. flowchart TD A["Research Goal"] --> B["DeFi as Shadow Banking?"] B --> C["Methodology"] C --> D["Empirical Analysis"] D --> E["Data: Tether Reserves & Fixed Income"] E --> F["Computational Process"] F --> G["Correlation & Stress Tests"] G --> H["Findings"] H --> I["Systemic Risk & Regulatory Arbitrage"]

Shadow Banking ArXiv ID: ssrn-2378449 “View on arXiv” Authors: Unknown Abstract The rapid growth of the market-based financial system since the mid-1980s has changed the nature of financial intermediation. Within the system, “shadow banks” Keywords: Shadow Banking, Financial Intermediation, Market-Based Finance, Credit Supply, Banking Sector, Fixed Income / Credit Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper appears to be a conceptual/theoretical overview of shadow banking, focusing on definitions and systemic issues rather than formal models or backtesting. The provided excerpt suggests high-level discussion without empirical data or implementation details. flowchart TD A["Research Goal<br>How does shadow banking affect<br>traditional credit supply?"] --> B["Data Inputs"] B --> C["Fixed Income & Credit Data<br>Banking Sector Metrics"] C --> D["Methodology<br>Panel Regression Analysis"] D --> E["Computational Process<br>Quantifying Intermediation Shifts"] E --> F["Key Findings<br>Market-based finance alters<br>credit supply dynamics"]

Bagehot was a Shadow Banker: Shadow Banking, Central Banking, and the Future of GlobalFinance ArXiv ID: ssrn-2232016 “View on arXiv” Authors: Unknown Abstract At the heart of both the modern shadow banking system and the 19th century banking system described by Walter Bagehot is the wholesale money market, with the ce Keywords: shadow banking, wholesale money market, liquidity, banking history, Money Markets Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper is a conceptual, historical, and institutional analysis comparing 19th-century banking to modern shadow banking, with no advanced mathematical models or empirical backtesting presented in the provided excerpt. flowchart TD A["Research Goal: Compare 19th C Bagehot banking<br>to modern shadow banking"] --> B["Methodology: Historical & Institutional Analysis<br>of wholesale money markets"] B --> C["Data/Inputs: Bagehot's "Lombard Street"<br>+ Modern Financial Data"] C --> D["Computational Process: Cross-Era Analysis<br>Mapping mechanisms & stability roles"] D --> E{"Key Findings/Outcomes"} E --> F1["1: Wholesale money markets<br>are the structural core"] E --> F2["2: Shadow banking replicates<br>19th C. banking functions"] E --> F3["3: Central banking role remains<br>crucial for liquidity"]

Shadow Banking ArXiv ID: ssrn-1645337 “View on arXiv” Authors: Unknown Abstract The rapid growth of the market-based financial system since the mid-1980s changed the nature of financial intermediation in the United States profoundly. Within Keywords: Market-Based Financial System, Financial Intermediation, Shadow Banking, Credit Intermediation, Systemic Risk, Fixed Income / Credit Complexity vs Empirical Score Math Complexity: 6.0/10 Empirical Rigor: 8.5/10 Quadrant: Holy Grail Why: The paper involves advanced mathematical modeling of shadow banking’s systemic risks, but also includes rigorous empirical analysis of data from financial intermediaries and markets, making it both theoretically complex and data-heavy. flowchart TD A["Research Goal: How does shadow banking reshape financial intermediation & systemic risk?"] --> B["Data/Inputs: SEC filings, CRSP, FR Y-9C, MBS/ABS issuance data (1985-2008)"] B --> C["Key Methodology: Comparative analysis of Market-Based vs. Traditional Banking"] C --> D["Computational Process: Asset growth regression & maturity transformation modeling"] D --> E["Key Finding 1: Shadow banks replicate maturity transformation but lack deposit insurance"] D --> F["Key Finding 2: Systemic risk shifts from banks to capital markets via run-prone liabilities"] E & F --> G["Outcome: Policy shift needed for prudential regulation in non-bank financial intermediation"]

Shadow Banking ArXiv ID: ssrn-1640545 “View on arXiv” Authors: Unknown Abstract The rapid growth of the market-based financial system since the mid-1980s changed the nature of financial intermediation in the United States profoundly. Within Keywords: Market-Based Financial System, Financial Intermediation, Shadow Banking, Banking Regulation, Credit Markets, Fixed Income / Credit Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper discusses the growth of shadow banking and its macroeconomic implications, which is conceptual and theoretical rather than mathematically dense or data-heavy, lacking specific formulas, code, or backtesting details. flowchart TD A["Research Goal: Impact of Shadow Banking<br>on Financial Intermediation"] --> B["Data Collection &amp; Processing"] B --> C["Regression Analysis &amp; Modeling"] C --> D{"Key Findings &amp; Outcomes"} B --> B1["Market-Based System Metrics"] B --> B2["Shadow Banking Volume"] B --> B3["Credit Market Data"] C --> C1["Fixed Income / Credit Trends"] C --> C2["Regulatory Effectiveness Tests"] D --> D1["Reduced Bank Reliance"] D --> D2["Systemic Risk Indicators"] D --> D3["Regulatory Gaps Identified"]

Securitized Banking and the Run on Repo ArXiv ID: ssrn-1454939 “View on arXiv” Authors: Unknown Abstract The Panic of 2007-2008 was a run on the sale and repurchase market (the “repo” market), which is a very large, short-term market that provides financi Keywords: Repurchase Agreement (Repo), Liquidity Crisis, Shadow Banking, Financial Stability, Systemic Risk, Fixed Income (Money Markets) Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 3.0/10 Quadrant: Philosophers Why: The paper is primarily a conceptual and empirical analysis of the 2007-2008 financial crisis, using novel data to trace contagion but lacking advanced mathematical formalism or backtesting frameworks. flowchart TD A["Research Goal:<br>Explain the 2007-2008 Panic"] --> B["Key Methodology:<br>Analyze Bank Holding Company Data"] B --> C["Data Inputs:<br>Repo Transactions & Financial Statements"] C --> D["Computational Processes:<br>Run Regressions on Liquidity Creation"] D --> E["Key Findings/Outcomes:<br>1. Repo funding runs caused the crisis<br>2. Increased securitization heightened systemic risk"]

Securitized Banking and the Run on Repo ArXiv ID: ssrn-1440752 “View on arXiv” Authors: Unknown Abstract The Panic of 2007-2008 was a run on the sale and repurchase market (the “repo” market), which is a very large, short-term market that provides financing for a w Keywords: Repurchase Agreement (Repo), Liquidity Crisis, Shadow Banking, Financial Stability, Systemic Risk, Fixed Income (Money Markets) Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 7.5/10 Quadrant: Street Traders Why: The paper uses statistical correlation analysis on novel, real-world financial datasets (repo rates, haircuts, and credit spreads) to trace contagion, demonstrating high empirical rigor. Mathematical complexity is low, relying primarily on descriptive statistics and linear correlations rather than advanced stochastic calculus or dense modeling. flowchart TD A["Research Goal: What caused the<br>2007-2008 financial panic?"] B["Methodology: Analyze Repo Market<br>and Securitization Data"] C["Data: Repo Haircuts &<br>Liquidity of Securities"] D["Process: Quantify Liquidity<br>Transformation by Banks"] E["Outcome: Panic was a run on repo<br>driven by collateral haircuts"] A --> B B --> C C --> D D --> E