Financial Distress

Workplace sustainability or financial resilience? Composite-financial resilience index ArXiv ID: 2403.16296 “View on arXiv” Authors: Unknown Abstract Due to the variety of corporate risks in turmoil markets and the consequent financial distress especially in COVID-19 time, this paper investigates corporate resilience and compares different types of resilience that can be potential sources of heterogeneity in firms’ implied rate of return. Specifically, the novelty is not only to quantify firms’ financial resilience but also to compare it with workplace resilience which matters more in the COVID-19 era. The study prepares several pieces of evidence of the necessity and insufficiency of these two main types of resilience by comparing earnings expectations and implied discount rates of high- and low-resilience firms. Particularly, results present evidence of the possible amplification of workplace resilience by the financial status of firms in the COVID-19 era. The paper proposes a novel composite-financial resilience index as a potential measure for disaster risk that significantly and persistently reveals low-resilience characteristics of firms and resilience-heterogeneity in implied discount rates. ...

Incharge Financial Distress/Financial Well-Being Scale: Development, Administration, and Score Interpretation ArXiv ID: ssrn-2239338 “View on arXiv” Authors: Unknown Abstract This article describes development of the InCharge Financial Distress/Financial Well-Being Scale, designed to measure a latent construct representing responses Keywords: Financial Well-Being, Financial Distress, Scale Development, Personal Finance, Psychometrics, Personal Finance Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 7.0/10 Quadrant: Street Traders Why: The paper focuses on developing and validating a psychometric scale (financial well-being/distress), which involves statistical methods like factor analysis and Cronbach’s alpha, but lacks advanced mathematical theory or derivations. It is highly data and implementation-heavy, involving a rigorous multi-step process to develop, test, and norm a measurement tool for practical use in financial counseling. flowchart TD A["Research Goal Develop & Validate Financial Distress/Well-Being Scale"] --> B["Data Collection Survey of 405 Adults"] B --> C["Methodology Steps Exploratory & Confirmatory Factor Analysis"] C --> D["Computational Processes Reliability Tests & Score Interpretation Algorithm"] D --> E["Key Outcomes Validated 8-Item Scale Distress/Well-Being Metric"]