---
title: Wealth Attraction
url: https://www.ml-quant.com/papers/ssrn/5180370/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5180370
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5180370
featured: 2025-03-20
citations: unknown
topic: Corporate Finance
---


# Wealth Attraction

The Wealth Attraction Law posits that wealth acquisition is not just through effort or capital but also personal ability, scarcity, and social recognition, as shown by successful entrepreneurs' case studies.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5180370
- Identifier: SSRN 5180370
- Released: 2025-03-15
- First featured: Quant Letter No. 89 (2025-03-20): https://www.ml-quant.com/issues/2025-03-20/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Corporate Finance

## Related

- [ESG Reputation Risk Matters: An Event Study Based on Social Media Data](https://www.ml-quant.com/papers/arxiv/2307.11571/): The paper examines the influence of social media on shareholders' reactions to Environmental, Social, and Governance-related reputational risks, revealing a significant decrease in abnormal returns after an ESG-risk event.
- [Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling](https://www.ml-quant.com/papers/arxiv/2502.02590/): 3D Object Modeling: Articulate Anymesh is a framework that transforms any rigid 3D mesh into an articulated object, aiding in the acquisition of new object manipulation skills in robotics.
- [Climate Risk and Corporate Value: Evidence from Temperature Bins and Panel Regression](https://www.ml-quant.com/papers/arxiv/2503.14233/): The study reveals that extreme temperatures significantly decrease the asset value of businesses, with state-owned and foreign-funded firms being more resilient.
- [Ethical Data Governance: Strategies for Reducing Bias in Enterprise Systems](https://www.ml-quant.com/papers/ssrn/5188642/): The article discusses the ethical concerns of data governance systems in businesses, emphasizing the need for strong models to avoid biases from AI and machine learning.
- [Bridging Quasi-Experimental and Structural Approaches for Robust Evaluation of US Airline Mergers](https://www.ml-quant.com/papers/arxiv/2503.15785/): Research on three major U.S. airline mergers indicates a conflict between efficiency improvements and coordinated effects, implying that significant efficiency gains may be counterbalanced by coordinated effects.
- [Using firm-level supply chain networks to measure the speed of the energy transition](https://www.ml-quant.com/papers/arxiv/2503.01572/): Research indicates Hungary's transition to low-carbon electricity is too slow to achieve climate neutrality by 2050 due to a 'lock-in' effect.