Market-Based Financial System

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"]