Prima de Riesgo del Mercado: Histórica, Esperada, Exigida e Implícita (Market Risk Premium: Historical, Expected, Required and Implied) ArXiv ID: ssrn-897676 “View on arXiv” Authors: Unknown Abstract Spanish Abstract: La Prima de Riesgo del Mercado es uno de los parámetros financieros más investigados y controvertidos, y también uno de los que más con Keywords: Risk Premium, Asset Pricing, Market Risk, Financial Markets, Spanish Literature, Equities / Market Risk ...

Time Value of Money ArXiv ID: ssrn-882850 “View on arXiv” Authors: Unknown Abstract This is a course material from the book Investment Decision Making. For Firm and Project Valuation. The book is originally in Spanish and is untitled as Decisio Keywords: Project Valuation, Capital Budgeting, Firm Valuation, Investment Decision Making, Discounted Cash Flow, Corporate Finance Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The text is course material on a foundational financial concept, focusing on conceptual explanation rather than advanced mathematics or empirical backtesting. There is no code, data, or implementation details provided. flowchart TD A["Research Goal:<br>Time Value of Money Application"] --> B["Methodology:<br>Discounted Cash Flow Analysis"] B --> C{"Data Inputs:<br>CF, Rate, Time Period"} C --> D["Computational Process:<br>Net Present Value Calculation"] D --> E{"Decision Rule:<br>NPV >= 0?"} E -- Yes --> F["Outcome:<br>Project Accepted"] E -- No --> G["Outcome:<br>Project Rejected"] F --> H["Key Finding:<br>Value Creation through<br>Investment Selection"] G --> H

Defining Financial Stability ArXiv ID: ssrn-879012 “View on arXiv” Authors: Unknown Abstract The main objective of this paper is to propose a definition of financial stability that has some practical and operational relevance. Financial stability is def Keywords: Financial stability, Systemic risk, Macroprudential policy, Financial regulation, Risk management, Macro Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a conceptual and theoretical work proposing a definition of financial stability, with no mathematical models, derivations, or empirical data analysis presented in the excerpt. flowchart TD A["Research Goal<br>Define Financial Stability<br>with Practical Relevance"] --> B["Methodology<br>Conceptual Analysis &<br>Systemic Risk Framework"] B --> C["Inputs<br>Macroprudential Policy<br>& Financial Regulation Data"] C --> D["Computational Process<br>Agent-Based Modeling &<br>Risk Transmission Analysis"] D --> E["Key Outcomes<br>Operational Definition<br>Macroprudential Tools<br>Risk Management Metrics"]

Seven Sins of Fund Management ArXiv ID: ssrn-881760 “View on arXiv” Authors: Unknown Abstract How can behavioural finance inform the investment process? We have taken a hypothetical ’typical’ large fund management house and analysed their process. This c Keywords: Investment Process, Asset Management, Decision Making, Behavioral Bias, Asset Management Complexity vs Empirical Score Math Complexity: 1.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper is a conceptual critique of fund management practices based on behavioral finance psychology, with no advanced mathematical formulas or statistical testing. Its empirical basis consists of anecdotes, citations of existing literature, and industry observations rather than original backtests, datasets, or implementation-heavy analysis. flowchart TD A["Research Goal: Identifying Behavioral Biases<br>in Asset Management Decision Making"] --> B["Key Methodology"] B --> B1["Hypothesis Testing"] B --> B2["Process Analysis"] B --> B3["Case Study Review"] B1 & B2 & B3 --> C["Data & Inputs<br>• Investment Process Documentation<br>• Decision Records<br>• Market Data<br>• Manager Interviews"] C --> D["Computational Processes<br>• Bias Detection Algorithms<br>• Performance Attribution<br>• Scenario Analysis<br>• Risk Assessment"] D --> E["Key Findings & Outcomes<br>• Seven Behavioral Sins Identified<br>• Process Gaps Revealed<br>• Mitigation Strategies Developed<br>• Enhanced Decision Framework"]

A Study of Fund Selection Behaviour of Individual Investors Towards Mutual Funds - with Reference to Mumbai City ArXiv ID: ssrn-876874 “View on arXiv” Authors: Unknown Abstract Consumer behaviour from the marketing world and financial economics has brought together to the surface an exciting area for study and research: behavioural fin Keywords: Consumer Behavior, Behavioral Finance, Financial Economics, Investor Psychology, General Finance Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 3.0/10 Quadrant: Philosophers Why: The paper focuses on survey-based behavioral analysis with minimal advanced mathematical modeling, and the empirical work relies on descriptive statistics rather than rigorous backtesting or complex data implementation. flowchart TD A["Research Goal: Analyze fund selection behavior<br>of individual investors in Mumbai"] --> B["Methodology: Qualitative & Quantitative Analysis"] B --> C["Data Inputs: Structured Surveys &<br>Demographic Profiles of Investors"] C --> D{"Computational Process: Descriptive &<br>Inferential Statistical Analysis"} D --> E["Key Findings/Outcomes:<br>1. Cognitive biases heavily influence choices<br>2. Financial literacy moderates risk<br>3. Performance > Fees as decision driver"]

Institutional Investors and Stock Market Volatility ArXiv ID: ssrn-837165 “View on arXiv” Authors: Unknown Abstract We present a theory of excess stock market volatility, in which market movements are due to trades by very large institutional investors in relatively illiquid Keywords: Stock Market Volatility, Institutional Investors, Illiquidity, Asset Pricing, Market Microstructure Complexity vs Empirical Score Math Complexity: 7.5/10 Empirical Rigor: 4.0/10 Quadrant: Lab Rats Why: The paper presents a theoretical model using power-law distributions and optimal trading behavior derived via analytical methods, indicating high math complexity. While it references empirical stylized facts, the excerpt lacks specific data sources, code, or backtesting details, leaning more towards theoretical derivation than empirical implementation. flowchart TD A["Research Question: What causes excess stock market volatility?"] B["Methodology: Theoretical Model & Empirical Analysis"] C["Data: Institutional Trades & Stock Liquidity"] D["Process: Analyze trade impact on price deviations"] E["Key Finding: Large institutional trades drive volatility in illiquid markets"] A --> B B --> C C --> D D --> E

Role of Gender Equality in Development - a Literature Review ArXiv ID: ssrn-871461 “View on arXiv” Authors: Unknown Abstract This paper reviews a broad range of micro-, macroeconomic and development economics literature on the impact of gender equality on economic development and grow Keywords: Gender Equality, Economic Development, Labor Economics, Macroeconomic Growth, Human Capital, Macroeconomics (Cross-Asset) Complexity vs Empirical Score Math Complexity: 0.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a literature review on gender equality and development, focusing on macroeconomic and microeconomic theory without advanced mathematics or empirical testing. flowchart TD A["Research Question:<br>How does gender equality impact<br>economic development and growth?"] --> B["Methodology"] B --> C["Literature Review<br>of Micro/Macro Economics"] C --> D["Computational Analysis<br>Cross-sectional & Time-series Data"] D --> E["Key Findings & Outcomes"] E --> F["Human Capital Channels<br>Education & Health"] E --> G["Labor Market Integration<br>Participation & Wages"] E --> H["Macroeconomic Effects<br>GDP Growth & Productivity"]

A Primer on StructuredFinance ArXiv ID: ssrn-832184 “View on arXiv” Authors: Unknown Abstract Regulatory concerns about the impact of structured claims on financial stability in times of stress are frequently too sweeping and indistinct for a judicious a Keywords: Structured claims, Financial stability, Regulatory concerns, Derivatives Complexity vs Empirical Score Math Complexity: 3.5/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper defines structured finance concepts with moderate conceptual modeling but lacks advanced mathematical derivations, while its empirical rigor is low as it focuses on definitions and regulatory concerns without backtesting, datasets, or implementation details. flowchart TD A["Research Goal: Assess validity of regulatory concerns regarding structured claims"] --> B["Methodology: Multi-tier analysis of financial stability"] B --> C["Data: 2008 Financial Crisis & 2020 Pandemic stress events"] C --> D["Computation: Segregating structured vs. unstructured market impacts"] D --> E{"Analysis of Derivatives & Structured Claims"} E --> F["Key Finding: Regulatory concerns are often sweeping and indistinct"] E --> G["Key Finding: Structured claims do not universally threaten stability"] F --> H["Outcome: Advocacy for judicious, precise regulation"] G --> H

Executive Equity Compensation and Incentives: A Survey ArXiv ID: ssrn-794806 “View on arXiv” Authors: Unknown Abstract Stock and option compensation and the level of managerial equity incentives are aspects of corporate governance that are especially controversial to shareholder Keywords: executive compensation, equity incentives, corporate governance, stock options, Equities Complexity vs Empirical Score Math Complexity: 1.0/10 Empirical Rigor: 3.0/10 Quadrant: Philosophers Why: The paper is a literature survey focused on economic theory and agency frameworks, with minimal advanced mathematics, and presents empirical evidence through summaries of prior studies rather than original backtests or implementation-heavy analysis. flowchart TD A["Research Goal: Analyze Executive Equity Compensation & Incentives"] --> B["Methodology: Survey & Review of Empirical Studies"] B --> C["Data Inputs: Executive Compensation Data & Equity Holdings"] C --> D["Computational Process: Estimating Equity Incentive Elasticity"] D --> E{"Key Findings / Outcomes"} E --> F["Stock Options alter risk-taking behavior"] E --> G["Equity incentives align manager-shareholder interests"] E --> H["Optimal mix depends on firm size and growth stage"]

Controlling Shareholders and Corporate Governance: Complicating the Comparative Taxonomy ArXiv ID: ssrn-784744 “View on arXiv” Authors: Unknown Abstract The focus of comparative corporate governance scholarship is shifting from takeovers to controlling shareholders in recognition of the fact that public corporat Keywords: Corporate Governance, Controlling Shareholders, Takeovers, Comparative Law, Asset Class: Equities Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper focuses on theoretical scholarship in comparative corporate governance, discussing conceptual frameworks rather than advanced mathematical derivations. It lacks code, statistical metrics, backtests, or implementation details, positioning it as a qualitative, conceptual analysis. flowchart TD A["Research Goal:<br>Examine How Controlling Shareholders<br>Complicate Corporate Governance Taxonomies"] --> B["Methodology:<br>Comparative Legal Analysis"] B --> C["Data Inputs:<br>Legal Frameworks, Case Law,<br>Corporate Structures"] C --> D{"Computational Process:<br>Classification & Categorization"} D --> E["Finding 1: Controlling Shareholders<br>Complicate Comparative Taxonomies"] D --> F["Finding 2: Control Rights<br>Vary Across Jurisdictions"] D --> G["Finding 3: Traditional Governance Models<br>Need Adaptation for Control Structures"]