Risk Diversification Portfolio Construction Using Discrete Hilbert Transform
- DOI
- 10.2991/978-94-6463-758-8_188How to use a DOI?
- Keywords
- Discrete Hilbert Transform; risk diversification; portfolio construction; asset returns; financial risk management
- Abstract
This paper introduces the Discrete Hilbert Transform (DHT) as a tool for enhancing risk diversification in portfolio construction. DHT, a mathematical technique typically used in signal processing, is applied to financial data to identify dynamic market signals. By analyzing asset returns through the frequency domain, DHT enables investors to detect hidden risks that traditional models might overlook. This research compares portfolios constructed using DHT with those optimized via the conventional Mean-Variance method. The findings demonstrate that DHT-based portfolios provide better risk-adjusted returns, reduced volatility, and improved resilience during market fluctuations. The use of DHT allows for more adaptive and responsive portfolio adjustments, particularly in volatile conditions. This study contributes to the growing body of literature on applying advanced mathematical models to finance, offering practical insights for portfolio managers seeking to optimize risk diversification.
- 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 - Wahyuni Ekasasmita AU - Muh. Rifki Nisardi AU - Nur Rahmi AU - Kusnaeni Kusnaeni AU - Hartina Husain PY - 2025 DA - 2025/07/30 TI - Risk Diversification Portfolio Construction Using Discrete Hilbert Transform BT - Proceedings of the 9th International Conference on Accounting, Management, and Economics 2024 (ICAME 2024) PB - Atlantis Press SP - 2359 EP - 2370 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-758-8_188 DO - 10.2991/978-94-6463-758-8_188 ID - Ekasasmita2025 ER -