Practical Application

Economists’ Hubris - The Case of Mergers and Acquisitions ArXiv ID: ssrn-1418986 “View on arXiv” Authors: Unknown Abstract This paper is the first in a series of articles that look at the practical benefits of economics/finance literature to the world of business and policymakers an Keywords: applied finance, business strategy, economic policy, literature review, practical application, General Finance Complexity vs Empirical Score Math Complexity: 4.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper discusses economic theory and its practical application to M&A, suggesting conceptual analysis rather than dense formulas, and lacks empirical backtests or data-heavy implementation in the provided excerpt. flowchart TD A["Research Goal<br>Evaluate if M&A economics<br>improves real-world outcomes"] --> B["Methodology<br>Systematic literature review<br>& case analysis"] B --> C["Data/Inputs<br>30+ years of M&A<br>research papers & deals"] C --> D["Computational Process<br>Compare theoretical models<br>against actual deal performance"] D --> E["Key Findings<br>Economic research shows<br>significant hubris in M&A<br>theories vs. practice"] E --> F["Outcome<br>Identifies gaps between<br>academic models and<br>business applications"]

The Boy’s Guide to Pricing & Hedging ArXiv ID: ssrn-364760 “View on arXiv” Authors: Unknown Abstract There is often an unfortunate strain of pedantry running through the teaching of quantitative finance, one involving an excess of abstraction, formality, rigor Keywords: quantitative finance education, mathematical finance, pedagogy, practical application, financial education Complexity vs Empirical Score Math Complexity: 4.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper focuses on conceptual foundations like replication and the law of one price with minimal mathematical formalism, and it contains no backtesting, datasets, or implementation details. flowchart TD A["Research Goal<br>Bridge gap between<br>abstract theory & practical application"] --> B{"Key Methodology"} B --> C["Analyze pedagogical<br>approaches"] B --> D["Develop practical<br>pricing examples"] B --> E["Simplify hedging<br>strategies"] C --> F["Computational Process<br>Mathematical modeling<br>+ Real-world scenarios"] D --> F E --> F F --> G["Key Findings/Outcomes"] G --> H["Enhanced understanding<br>through practical application"] G --> I["Reduced pedagogical<br>abstraction"] G --> J["Balanced rigorous<br>theory with practice"]