Can We Profit from Trading on Predictions of High-Low Stock Prices?

Clive Jones

Foresight: The International Journal of Applied Forecasting, 2021, issue 60, 28-32

Abstract: Conventional wisdom has it that movements in daily stock prices are wholly unpredictable. Known as the efficient markets hypothesis (emh), the belief is that today's stock prices reflect all public information and that no form of technical analysis can aid investors. Many have taken issue with this belief, pointing out that stocks can deviate from their fair-market values so that it's possible to beat the market. In this article, Clive Jones, CEO of a financial and data-analytics team, argues that, even while consistent with the emh, profitable trading strategies can be devised based on forecasts of daily stock price highs and lows (HL). The takeaway for financial forecasters is to put more focus on the HL changes in stock prices. Copyright International Institute of Forecasters, 2021

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://foresight.forecasters.org/bookstore/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2021:i:60:p:28-32

Access Statistics for this article

More articles in Foresight: The International Journal of Applied Forecasting from International Institute of Forecasters Contact information at EDIRC.
Bibliographic data for series maintained by Michael Gilliland ().