预测股市走势

G. N. Nedeltcheva
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引用次数: 5

摘要

预测是管理中的一个难点。在本文中,我们处理宏观预测。发展和评估用于实证金融学和宏观经济学的计量经济学方法,特别强调预测问题,是非常重要的。股票市场分析,也被称为技术分析,是从价格运动中得出模式的过程。在文献中,不同的方法已被应用,以预测股票市场的回报。这些方法可以分为四大类:技术分析方法、基本分析方法、传统时间序列预测方法和机器学习方法。技术分析师,被称为图表分析师,试图通过研究描述市场历史数据的图表来追踪模式来预测市场。本研究考察了技术分析对美股长期和短期的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting Stock Market Trends
Abstract Forecasting is a difficult area of management. In this article, we deal with macroforecasting. The development and assessment of econometric methods for use in empirical finance and macroeconomics, with special emphasis on problems of prediction, is very important. Stock market analysis, also known as technical analysis, is the process of deriving patterns from price movement. In the literature, different methods have been applied in order to predict stock market returns. These methods can be grouped in four major categories: technical analysis methods, fundamental analysis methods, traditional time series forecasting, and machine learning methods. Technical analysts, known as chartists, attempt to predict the market by tracing patterns that come from the study of charts that describe historic data of the market. This study examines the effectiveness of technical analysis on US stocks for long range and shorter term.
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