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metadata language: English

Technical Analysis in the Foreign Exchange Market: A Layman's Guide

Version
v0
Resource Type
Dataset : survey data
Creator
  • Neely, Christopher J. (Federal Reserve Bank of St. Louis)
Other Title
  • Archival Version (Subtitle)
Publication Date
1998-10-06
Language
English
Free Keywords
foreign exchange
Description
  • Abstract

    Economists have traditionally been skeptical of the value of technical analysis, the use of past price behavior to guide trading decisions in asset markets. Instead, they have relied on the logic of the efficient markets hypothesis. This research briefly explains the fundamentals of technical analysis and the efficient markets hypothesis as applied to the foreign exchange market, evaluates the profitability of simple trading rules, and reviews recent ideas that might justify extrapolative technical analysis.
  • Table of Contents

    Datasets:

    • DS1: Dataset
Collection Mode
  • (1) The file submitted is SO97DPGN.ZIP, which unzips to data and program files, along with a README file. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.

Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 1177 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR01177.v1
Publications
  • Neely, Christopher J.. Technical analysis in the foreign exchange market: A layman's guide. Federal Reserve Bank of St. Louis Review.79, (5), 23-38.1997.

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

Neely, Christopher J. (1998): Technical Analysis in the Foreign Exchange Market: A Layman's Guide. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR01177