---
title: Remeasuring Scale in Active Management
url: https://www.ml-quant.com/papers/ssrn/4599484/
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 4599484
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4599484
featured: 2023-10-12
citations: 1
topic: Portfolio & Allocation
---


# Remeasuring Scale in Active Management

The study suggests that previous research significantly overestimates the diminishing returns of mutual funds when considering additional institutional assets managed under the same strategy.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4599484
- Identifier: SSRN 4599484
- Released: 2023-10-11
- First featured: Quant Letter No. 20 (2023-10-12): https://www.ml-quant.com/issues/2023-10-12/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Portfolio & Allocation

## Related

- [Talk vs. Walk: Lessons from Silent Sustainable Investing of Mutual Funds](https://www.ml-quant.com/papers/ssrn/4602285/): Talk vs. Walk: The study finds that investors favor internal ESG labels over external sustainability ratings, significantly influencing fund flows, but high sustainability rating funds don't necessarily rebrand as ESG funds due to regulatory pressure and limited benefits.
- [Political Connections, Corruption, and Investment Decisions of Chinese Mutual Funds](https://www.ml-quant.com/papers/ssrn/4586940/): A study finds a direct correlation between Chinese mutual funds' political ties and their investment choices, with these influences decreasing after the 2012 anti-corruption campaign, implying such campaigns can improve market fairness.
- [Ensembling Arimax Model in Algorithmic Investment Strategies on Commodities Market](https://www.ml-quant.com/papers/ssrn/4577441/): ARIMAX/ARIMAX-Garch models are ineffective for making buy or sell decisions for selected commodity baskets, as per a study on four Invesco ETF funds.
- [Active ETFs Cloned from Mutual Funds: Competing for Investor Flows](https://www.ml-quant.com/papers/ssrn/4653702/): The research indicates that less transparent active ETFs do not affect mutual fund investor flows, instead, the reputation of the cloned mutual funds helps the new ETFs attract more flows.
- [Quantifying Outlierness of Funds from their Categories using Supervised Similarity](https://www.ml-quant.com/papers/arxiv/2308.06882/): The study uses machine learning to measure the impact of mutual fund miscategorization, revealing a significant link between outlier measures of funds and their future returns.
- [Displaced by Big Data: Evidence from Active Fund Managers](https://www.ml-quant.com/papers/ssrn/4527672/): The use of big data, like satellite imagery tracking firms' parking lots, can diminish the stock picking abilities of active mutual funds, implying that big data could replace high-skill workers in finance.
