A new method of measuring stock market manipulation through structural equation modeling (SEM)

This paper proposes a new model of measuring a latent variable, stock market manipulation. The model bears close resemblance with the literature on economic well-being. It interprets the manipulation of a stock as a latent variable, in the form of a multiple indicators and multiple causes (MIMIC) mo...

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Main Authors: Maruf Rahman Maxim, Abu Sadat Muhammad Ashif
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2017-10-01
Series:Investment Management & Financial Innovations
Subjects:
Online Access:https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/9227/imfi_2017_03_Maxim.pdf
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author Maruf Rahman Maxim
Abu Sadat Muhammad Ashif
author_facet Maruf Rahman Maxim
Abu Sadat Muhammad Ashif
author_sort Maruf Rahman Maxim
collection DOAJ
description This paper proposes a new model of measuring a latent variable, stock market manipulation. The model bears close resemblance with the literature on economic well-being. It interprets the manipulation of a stock as a latent variable, in the form of a multiple indicators and multiple causes (MIMIC) model. This approach exploits systematic relations between various indicators of manipulation and between manipulation and multiple causes, which allows it to identify the determinants of manipulation and an index of manipulation simultaneously. The main reason of stock market manipulation comes from the fact that information availability is not universally equal. The manipulation is thus critically linked to the creation, arrival and dissemination of information or rumors/mis-information. Thus, the immediate impact of manipulation is on the time profile of returns, or excess returns, from an asset and the excess volatility of returns in excess of the volatility explained by the fundamentals. In this basic setup, the model used these two variables as the indicators of stock market manipulation. The main intuition of the MIMIC approach is that some variables, or statistics, related to peace are indicators of manipulation, while others signify effects or outputs of causal factors, or inputs, of manipulation. In other words, distinction can be made between causes of manipulation and indicators of manipulation. The causal factors used in this model are classified into five different domains namely pure economic factors as determinants of manipulation, labor market conditions, international factors, quality of governance factors and systematic risk factors.
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spelling doaj.art-937375399ea348c69c3032f5abc878222022-12-22T03:07:58ZengLLC "CPC "Business Perspectives"Investment Management & Financial Innovations1810-49671812-93582017-10-01143546110.21511/imfi.14(3).2017.059227A new method of measuring stock market manipulation through structural equation modeling (SEM)Maruf Rahman Maxim0Abu Sadat Muhammad Ashif1(Casual Lecturer), Charles Darwin UniversityAssistant Professor, East West UniversityThis paper proposes a new model of measuring a latent variable, stock market manipulation. The model bears close resemblance with the literature on economic well-being. It interprets the manipulation of a stock as a latent variable, in the form of a multiple indicators and multiple causes (MIMIC) model. This approach exploits systematic relations between various indicators of manipulation and between manipulation and multiple causes, which allows it to identify the determinants of manipulation and an index of manipulation simultaneously. The main reason of stock market manipulation comes from the fact that information availability is not universally equal. The manipulation is thus critically linked to the creation, arrival and dissemination of information or rumors/mis-information. Thus, the immediate impact of manipulation is on the time profile of returns, or excess returns, from an asset and the excess volatility of returns in excess of the volatility explained by the fundamentals. In this basic setup, the model used these two variables as the indicators of stock market manipulation. The main intuition of the MIMIC approach is that some variables, or statistics, related to peace are indicators of manipulation, while others signify effects or outputs of causal factors, or inputs, of manipulation. In other words, distinction can be made between causes of manipulation and indicators of manipulation. The causal factors used in this model are classified into five different domains namely pure economic factors as determinants of manipulation, labor market conditions, international factors, quality of governance factors and systematic risk factors.https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/9227/imfi_2017_03_Maxim.pdfmarket manipulationmarket misconductstructural equation model
spellingShingle Maruf Rahman Maxim
Abu Sadat Muhammad Ashif
A new method of measuring stock market manipulation through structural equation modeling (SEM)
Investment Management & Financial Innovations
market manipulation
market misconduct
structural equation model
title A new method of measuring stock market manipulation through structural equation modeling (SEM)
title_full A new method of measuring stock market manipulation through structural equation modeling (SEM)
title_fullStr A new method of measuring stock market manipulation through structural equation modeling (SEM)
title_full_unstemmed A new method of measuring stock market manipulation through structural equation modeling (SEM)
title_short A new method of measuring stock market manipulation through structural equation modeling (SEM)
title_sort new method of measuring stock market manipulation through structural equation modeling sem
topic market manipulation
market misconduct
structural equation model
url https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/9227/imfi_2017_03_Maxim.pdf
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