Outliers in financial time series data: Outliers, margin debt, and economic recession
Outliers in financial time series data are different from that in cross-sectional data in terms of the treatment and the detection. First, outliers in time series can be the focus of analysis itself, such as outliers in margin debt to indicate an overheating market. Second, the outlier detection in...
Main Authors: | Kangbok Lee, Yeasung Jeong, Sunghoon Joo, Yeo Song Yoon, Sumin Han, Hyeoncheol Baik |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
|
Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827022000950 |
Similar Items
-
Outliers
by: Shengping Yang, et al.
Published: (2016-01-01) -
Outlier Detection with Reinforcement Learning for Costly to Verify Data
by: Michiel Nijhuis, et al.
Published: (2023-05-01) -
Short-Term Load Forecasting Based on Outlier Correction, Decomposition, and Ensemble Reinforcement Learning
by: Jiakang Wang, et al.
Published: (2023-05-01) -
A Two-Level Approach based on Integration of Bagging and Voting for Outlier Detection
by: Dogan Alican, et al.
Published: (2020-05-01) -
Suggesting the Infertility Treatment Method Using Ensemble Methods and Outlier Analysisthe Infertility Treatment Method Using Ensemble Methods and Outlier Analysis
by: Raana Mahdavi, et al.
Published: (2019-05-01)