Control Chart for Monitoring Stock Price and Trading Volume in Malaysia Stock Market
- DOI
- 10.2991/978-94-6463-014-5_27How to use a DOI?
- Keywords
- ARIMA model; Control chart; Stock price; Trading volume; Volume-weighted moving average
- Abstract
Traditional statistical control charts are rarely used as a tool to monitor the stock trading and portfolio analysis due to its capability of proving a buying, selling, or holding signal to the investor. Besides that, the normality assumption for a control chart is always violated due to the share prices and trading volumes are highly correlated. To overcome this problem, auto regressive integrated moving average (ARIMA) model can be integrated into the control chart scheme. In this paper, a moving limit ARIMA control scheme is developed to monitor both stock price and trading volume at the same time. A real-life stock exchange data has been used to demonstrate the effectiveness of the proposed control scheme as compared with the performances of the volume-weighted moving average (VWMA) and relative strength index (RSI) charts. The proposed control scheme shows better performance compared to VWMA and RSI charts.
- Copyright
- © 2023 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 - Zong Ming Tan AU - Voon Hee Wong AU - Wei Yeing Pan PY - 2022 DA - 2022/12/12 TI - Control Chart for Monitoring Stock Price and Trading Volume in Malaysia Stock Market BT - Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022) PB - Atlantis Press SP - 286 EP - 295 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-014-5_27 DO - 10.2991/978-94-6463-014-5_27 ID - Tan2022 ER -