Predicting the Effect of the Fear and Greed Index for Digital Assets and Stocks on the Trends of Apartment Sales by Artificial Neural Network

• 발행기관: 한국자료분석학회
• 저자명: Hyun-Wook Park Sung-Hyeon Bae
• 간행물 정보: 『한국자료분석학회 학술대회자료집』2022년 하계학술대회 발표집, 67~70쪽, 전체 4쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2022.07.07

영문 초록

The psychology of stock buyers and sellers greatly affects stock prices, and fluctuating stock prices affect another asset, real estate prices. In addition, since the current cryptocurrency market is becoming huge, it is necessary to analyze the real estate market psychology with the psychological index of cryptocurrency. In this study, an artificial neural network model was implemented to predict the trend of apartment sales supply and demand in Korea based on the digital asset fear and greed index and the stock fear and greed index. The model is implemented in a form that minimizes the mean squared error by using a multi-layer neural network(Activation function: Swish).

목차

1. Introduction

2. Data and Methods

3. Results

4. Conclusion

References

키워드

Fear and greed index Apartment sales trend ANN Swish