---
title: Fractional Trading with High-Priced Stocks
url: https://www.ml-quant.com/papers/ssrn/4445456/
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 4445456
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4445456
featured: 2023-05-24
citations: unknown
topic: Trading, Microstructure & Execution
---


# Fractional Trading with High-Priced Stocks

Fractional trading removes barriers to high-priced stocks and can fuel meme stock-like trading frenzies.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4445456
- Identifier: SSRN 4445456
- Released: 2021-11-18
- First featured: Quant Letter No. 1 (2023-05-24): https://www.ml-quant.com/issues/2023-05-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

## Related

- [FAST: Efficient Action Tokenization for Vision-Language-Action Models](https://www.ml-quant.com/papers/arxiv/2501.09747/): A new tokenization scheme, Frequency-space Action Sequence Tokenization (FAST), has been proposed for robot actions, facilitating the training of vision-language action policies for complex and high-frequency tasks.
- [Deep Reinforcement Learning for Active High Frequency Trading](https://www.ml-quant.com/papers/arxiv/2101.07107/): A new Deep Reinforcement Learning framework has been developed for high frequency stock trading, showing potential for profitable long-term strategies.
- [E-backtesting](https://www.ml-quant.com/papers/arxiv/2209.00991/): A new backtesting procedure for Expected Shortfall forecasts is proposed using e-values and e-processes.
- [Deep reinforcement trading with predictable returns](https://www.ml-quant.com/papers/arxiv/2104.14683/): The performance of model-free deep reinforcement learning traders in a market environment with different mean-reverting factors is investigated.
- [The Cost of Misspecifying Price Impact](https://www.ml-quant.com/papers/arxiv/2306.00599/): Misspecification costs of portfolio managers' orders are asymmetric.
- [Optimal execution and speculation with trade signals](https://www.ml-quant.com/papers/arxiv/2306.00621/): Price impact model based on order flow in the market.