Detection of distortion in economic and financial time series

Abstract

The market is greatly disrupted by economic news and online media information such as twitter, causing distortions in the economic and financial time series of commodity futures markets. In this research, we applied the anomaly detection method by using of Dense Auto Encoder to economic and financial time series data to detect distortion of economic and financial time series such as commodity futures market.