2021
DOI: 10.1111/1911-3846.12674
|View full text |Cite
|
Sign up to set email alerts
|

Detecting Financial Misreporting with Real Production Activity: Evidence from an Electricity Consumption Analysis*

Abstract: This study examines whether a real production activity measure, firm‐level electricity consumption growth, is useful in detecting firm financial misreporting. Identifying proxies for a firm's underlying financial performance that are not a function of the firm's accounting system is essential for detection of misreporting. We propose that the difference between revenue growth and electricity consumption growth (i.e., growth wedge (GW)) is a useful signal of financial misreporting. Using electricity consumption… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(2 citation statements)
references
References 82 publications
0
2
0
Order By: Relevance
“…The core of load forecasting is to establish a mathematical model based on the historical data of the predicted object to express its development and changes, in order to obtain reasonable and reliable prediction results. Therefore, before establishing a mathematical model, it is necessary to conduct a comprehensive statistical analysis of the available historical data collected, and to study and explore the underlying laws of the development of historical data [3].The statistics, analysis, and mining of historical data refer to the organization and analysis of historical data in a certain region through the entire forecast. The electricity sales in each quarter of the year have seasonal periodic changes.…”
Section: Data Analysis and Miningmentioning
confidence: 99%
“…The core of load forecasting is to establish a mathematical model based on the historical data of the predicted object to express its development and changes, in order to obtain reasonable and reliable prediction results. Therefore, before establishing a mathematical model, it is necessary to conduct a comprehensive statistical analysis of the available historical data collected, and to study and explore the underlying laws of the development of historical data [3].The statistics, analysis, and mining of historical data refer to the organization and analysis of historical data in a certain region through the entire forecast. The electricity sales in each quarter of the year have seasonal periodic changes.…”
Section: Data Analysis and Miningmentioning
confidence: 99%
“…Electricity demand monitoring, forecasting, and warning early are of importance in both energy and economic felds, which is very close to industrial activities and human activities [1][2][3]. Also, electricity demand is referred to as an important impact factor in electricity generation, which is benefcial to regulate the schedule of electricity generation for the operator in the electricity system [4][5][6].…”
Section: Introductionmentioning
confidence: 99%