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

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 ob...

Full description

Bibliographic Details
Main Authors: Parmod Kumar Paul, Om Prakash Mahela, Baseem Khan
Format: Article
Language:English
Published: Hindawi-Wiley 2022-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2022/8196436
_version_ 1798025102142472192
author Parmod Kumar Paul
Om Prakash Mahela
Baseem Khan
author_facet Parmod Kumar Paul
Om Prakash Mahela
Baseem Khan
author_sort Parmod Kumar Paul
collection DOAJ
description 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 (λ). 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 (National Stock Exchange), for the period 2010–2020.
first_indexed 2024-04-11T18:13:02Z
format Article
id doaj.art-953ce076cb814b72a34127fec3951d1f
institution Directory Open Access Journal
issn 1099-0526
language English
last_indexed 2024-04-11T18:13:02Z
publishDate 2022-01-01
publisher Hindawi-Wiley
record_format Article
series Complexity
spelling doaj.art-953ce076cb814b72a34127fec3951d1f2022-12-22T04:10:02ZengHindawi-WileyComplexity1099-05262022-01-01202210.1155/2022/8196436Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ)Parmod Kumar Paul0Om Prakash Mahela1Baseem Khan2Dept. of MathematicsPower System Planning DivisionDepartment of Electrical and Computer EngineeringFor 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 (λ). 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 (National Stock Exchange), for the period 2010–2020.http://dx.doi.org/10.1155/2022/8196436
spellingShingle Parmod Kumar Paul
Om Prakash Mahela
Baseem Khan
Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ)
Complexity
title Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ)
title_full Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ)
title_fullStr Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ)
title_full_unstemmed Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ)
title_short Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ)
title_sort analyzing the association between pattern and returns using goodman kruskal prediction error reduction index λ
url http://dx.doi.org/10.1155/2022/8196436
work_keys_str_mv AT parmodkumarpaul analyzingtheassociationbetweenpatternandreturnsusinggoodmankruskalpredictionerrorreductionindexl
AT omprakashmahela analyzingtheassociationbetweenpatternandreturnsusinggoodmankruskalpredictionerrorreductionindexl
AT baseemkhan analyzingtheassociationbetweenpatternandreturnsusinggoodmankruskalpredictionerrorreductionindexl