---
title: The CAPM, APT, and PAPM
url: https://www.ml-quant.com/papers/ssrn/4566414/
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 4566414
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4566414
featured: 2023-09-14
citations: 1
topic: Asset Pricing & Factors
---


# The CAPM, APT, and PAPM

CAPM, APT, and PAPM: The Popularity Asset Pricing Model (PAPM) improves on the Capital Asset Pricing Model (CAPM) by considering investor preferences and beliefs, addressing CAPM's empirical limitations.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4566414
- Identifier: SSRN 4566414
- Released: 2023-09-08
- First featured: Quant Letter No. 15 (2023-09-14): https://www.ml-quant.com/issues/2023-09-14/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Asset Pricing & Factors

## Related

- [Dynamic Time Warping for Lead-Lag Relationships in Lagged Multi-Factor Models](https://www.ml-quant.com/papers/arxiv/2309.08800/): A new technique using dynamic time warping has been created to identify lead-lag relationships in multivariate time series systems, demonstrated in financial markets.
- [Power Sorting](https://www.ml-quant.com/papers/ssrn/4552208/): The article suggests a new method for creating characteristic-based equity factors called power sorting, showing its superior performance and applicability to multifactor strategies.
- [Learning to Learn Financial Networks for Optimising Momentum Strategies](https://www.ml-quant.com/papers/arxiv/2308.12212/): The L2GMOM machine learning framework enhances portfolio profitability and risk management by learning financial networks and optimizing trading signals.
- [Network Momentum across Asset Classes](https://www.ml-quant.com/papers/arxiv/2308.11294/): The article discusses network momentum, a trading signal from asset momentum spillover, and its use in a multi-asset investment strategy that yielded a 22% annual return from 2000 to 2022.
- [Alpha Now, Taxes Later: Tax-Efficient Long-Only Factor Investing](https://www.ml-quant.com/papers/ssrn/4538712/): Despite high turnover, factor investing can yield significant pre-tax and post-tax alphas, especially with value, quality, and safety buy-and-hold portfolios, making it a viable option for tax-aware investors.
- [A Deep Structural Model for Empirical Asset Pricing](https://www.ml-quant.com/papers/ssrn/4602537/): ML and Theory Integration: The article introduces a new model that merges deep learning and structural models for better prediction of equity returns and covariances, leading to higher returns and sharpe ratios.
