Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index

Complexity 2022:1-8 (2022)
  Copy   BIBTEX

Abstract

For selecting and interpreting appropriate behaviour of proportion between buy/neutral/sell patterns and high/moderate/low returns, the prediction error reduction index is a very useful tool. It is operationally interpretable in terms of the proportional reduction in error of estimation. We first obtain the buy/sell pattern using an Optimal Band. The analysis of the association between patterns and returns is based on the Goodman–Kruskal prediction error reduction index. Empirical analysis suggests that the prediction of returns from patterns is more impressive or of less error as compared to the prediction of patterns from returns. We demonstrated the prediction index for Index NIFTY 50, BANK-NIFTY, and NIFTY-IT of NSE, for the period 2010–2020.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,060

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

A 4D Trajectory Prediction Model Based on the BP Neural Network.Lan Ma, Shan Tian & Zhi-Jun Wu - 2019 - Journal of Intelligent Systems 29 (1):1545-1557.
RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.M. Arul Selvan & S. Miruna Joe Amali - 2024 - Journal of Science Technology and Research 5 (1):37-42.
Attention in the Predictive Mind.Madeleine Ransom, Sina Fazelpour & Christopher Mole - 2017 - Consciousness and Cognition 47:99-112.

Analytics

Added to PP
2022-01-16

Downloads
10 (#1,466,946)

6 months
5 (#1,035,390)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references