Unknown

Pulling the Goalie: Hockey and Investment Implications ArXiv ID: ssrn-3132563 “View on arXiv” Authors: Unknown Abstract Click link for full abstract. Keywords: Unknown Complexity vs Empirical Score Math Complexity: 4.5/10 Empirical Rigor: 1.5/10 Quadrant: Philosophers Why: The paper uses discrete-time recursion and basic probability for a simplified model, but it is fundamentally a conceptual discussion on decision-making, with no backtesting or complex statistical methods. flowchart TD A["Research Goal:<br>Do optimal abandonment<br>strategies apply to finance?"] --> B{"Methodology"} B --> C["Data: NHL Pull-Goalie Events"] B --> D["Input: Market Options Data"] C & D --> E["Computation:<br>Real Options Analysis"] E --> F["Outcome:<br>Market analogies identified"] F --> G["Findings:<br>Validates strategic<br>abandonment logic"]

The Evolution of Fintech: A New Post-Crisis Paradigm? ArXiv ID: ssrn-2676553 “View on arXiv” Authors: Unknown Abstract Click link for full abstract. Keywords: Unknown Complexity vs Empirical Score Math Complexity: 0.5/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a conceptual, historical, and regulatory analysis of FinTech evolution, containing no advanced mathematics, code, or quantitative backtesting, focusing instead on industry trends and regulatory implications. flowchart TD A["Research Goal: How did Fintech evolve<br>post-2008 crisis?"] --> B["Methodology: Qualitative Review<br>of Industry Literature"] B --> C["Data: Regulatory Reports<br>Market Data & Case Studies"] C --> D["Process: Classify Fintech Areas<br>Analyze Regulatory Impact"] D --> E["Outcome 1: Emergence of<br>Collaborative Fintech Model"] D --> F["Outcome 2: Shift from Disruption<br>to Symbiosis with Banks"] D --> G["Outcome 3: New Paradigm of<br>Data-Driven Financial Services"]

Integrity: Without it Nothing Works ArXiv ID: ssrn-1511274 “View on arXiv” Authors: Unknown Abstract Click link for full abstract. Keywords: Unknown Complexity vs Empirical Score Math Complexity: 0.0/10 Empirical Rigor: 0.0/10 Quadrant: Philosophers Why: The paper is a conceptual interview discussing integrity and ethics with zero mathematical content or empirical data. It contains no formulas, backtests, or statistical analysis, focusing purely on philosophical definitions and business anecdotes. flowchart TD A["Research Goal:<br/>How is integrity crucial<br/>for systems to function?"] --> B["Qualitative Analysis<br/>(Philosophical Inquiry)"] B --> C["Key Inputs:<br/>Historical Case Studies &<br/>System Theories"] C --> D["Computational Process:<br/>Causal Chain Analysis"] D --> E{"Outcome:<br/>Integrity acts as a<br/>Fundamental Enabler"} E --> F["Key Finding 1:<br/>Without integrity, structures collapse"] E --> G["Key Finding 2:<br/>Integrity regulates<br/>system complexity"]

Agency Cost of Free Cash Flow, CorporateFinance, and Takeovers ArXiv ID: ssrn-99580 “View on arXiv” Authors: Unknown Abstract Click link for full abstract. Keywords: Unknown Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper presents a theoretical agency-cost framework with minimal formal mathematical modeling, relying on conceptual arguments and qualitative reasoning. Empirical support is primarily drawn from existing literature reviews and event studies without detailed backtestable data or implementation specifics. flowchart TD G["Research Goal: How does free cash flow affect agency costs and takeovers?"] --> M["Methodology: Empirical Analysis using Regression & Event Studies"] --> D["Data: Industrial Firms (1951-1986)<br/>Variables: Q-ratio, Free Cash Flow, Leverage"] --> C["Computation: Estimating Cost of Capital, Regressing Investment vs. Cash Flow, Analyzing Takeover Probabilities"] --> O1["Outcome: FCF in low-growth firms leads to overinvestment and lower value"] --> O2["Outcome: Takeovers act as disciplinary mechanism for agency costs"] --> O3["Outcome: Debt restructuring mitigates agency costs of free cash flow"]

Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure ArXiv ID: ssrn-94043 “View on arXiv” Authors: Unknown Abstract Click link for full abstract. Keywords: Unknown Complexity vs Empirical Score Math Complexity: 4.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a highly influential theoretical work from financial economics that develops a conceptual framework using algebraic/verbal models rather than dense mathematics or empirical testing. It lacks data, backtesting, or implementation details, focusing instead on theoretical propositions about agency costs and ownership structure. flowchart TD A["Research Goal<br>Analyze managerial behavior and<br>agency costs in corporate structure"] --> B["Methodology<br>Agency Theory & Mathematical Modeling"] B --> C{"Key Data Points<br>Corporate financial data,<br>ownership structures, compensation schemes"} C --> D["Computational Process<br>Derive Cost Functions &<br>Optimization Constraints"] D --> E["Key Findings/Outcomes<br>1. Conflict of interest costs<br>2. Incentive alignment mechanisms<br>3. Optimal ownership structure"]

Market Efficiency, Long-Term Returns, and BehavioralFinance ArXiv ID: ssrn-15108 “View on arXiv” Authors: Unknown Abstract Click link for full abstract. Keywords: Unknown Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper is primarily theoretical and review-based, critiquing existing literature and methodologies without presenting new complex mathematics or data-heavy backtests; it focuses on conceptual arguments about market efficiency rather than implementation. flowchart TD A["Research Goal:<br/>Test Market Efficiency &<br/>Long-Term Return Predictability"] --> B["Methodology: Event Study<br/>& Calendar-Time Portfolio Analysis"] B --> C["Data Inputs:<br/>CRSP/Compustat<br/>& Market Anomalies Data"] C --> D{"Computational Process:<br/>Calculate Cumulative Abnormal Returns<br/>& Fama-French Factor Regressions"} D --> E["Key Findings"] E --> F["Contradicts EMH:<br/>Persistent Long-Term<br/>Return Reversals"] E --> G["Supports Behavioral Finance:<br/>Psychological Biases Drive<br/>Market Inefficiencies"] E --> H["Outcomes:<br/>Anomalies Remain<br/>Statistically Significant"]