The Dynamic Relationship Between Market Volatility and Dollar Cost Averaging Strategy Returns: An Empirical Investigation
- DOI
- 10.2991/978-94-6463-835-6_9How to use a DOI?
- Keywords
- Dollar-Cost Averaging; Market Volatility; Investment Strategy; Monte Carlo Simulation; Geometric Brownian Motion
- Abstract
This study empirically examines the performance of a Dollar-Cost Averaging (DCA) strategy under varying market volatility conditions. DCA, which involves investing a fixed sum at regular intervals, is popular for its risk-mitigation properties. However, its effectiveness, especially relative to lump-sum investing (B&H)—depends on market dynamics. Using Monte Carlo simulations to generate price paths based on geometric Brownian motion, we analyze DCA returns, volatility clustering, and transaction frequency. Results indicate that while DCA underperforms B&H in steadily rising markets, it can offer risk-adjusted advantages in highly volatile scenarios. The study also discusses practical implications for optimizing DCA by adjusting investment frequency and considering transaction costs.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Siyuan Sang AU - Ru Bai AU - Haibo Li PY - 2025 DA - 2025/09/17 TI - The Dynamic Relationship Between Market Volatility and Dollar Cost Averaging Strategy Returns: An Empirical Investigation BT - Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025) PB - Atlantis Press SP - 72 EP - 79 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-835-6_9 DO - 10.2991/978-94-6463-835-6_9 ID - Sang2025 ER -