Building and operating a forecasting model: the regression analysis approach

Hirst, Melvyn

doi:10.1108/eum0000000005189

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…It can be used to predict the NPA of a given bank on the basis of the independent variables [10] [11]. The MLR model is: There can be a case of multicollinearity in this kind of situation.…”

Section: Mlr Analysis (Linear Stepwise and Logarithmic) And Results mentioning

confidence: 99%

Methodology to Predict NPA in Indian Banking System

Vallabh¹,

Singh²,

Prasoon³

et al. 2016

TEL

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Banking sector is the backbone of any economy and plays a pivotal role in the development of the nation. With the ever increasing need of involvement of banks in the economic growth process, the issue of non-Performing Assets (NPAs) has assumed mammoth proportions. Subsequently, as government in emerging countries pushes for financial inclusion, the risk associated with bank assets increases. With this background, this paper analyses problem of non-Performing Assets (NPAs) in Indian banking system. The authors have devised a unique way to forecast the NPAs in Indian banking system in 2020. The focus was to devise a model which would play a pivotal role in forecasting future NPAs in the Indian banking sector. This was achieved by looking into various methodologies and zeroing in on a model, which could be implemented to help understand how NPAs could be predicted.

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Section: Mlr Analysis (Linear Stepwise and Logarithmic) And Results mentioning

confidence: 99%

Methodology to Predict NPA in Indian Banking System

Vallabh¹,

Singh²,

Prasoon³

et al. 2016

TEL

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“…The statistical technique used was multiple regression analysis as "it is a strong statistical analysis that examines the relationship between two or more variables dependent and independent. It tests the effect of one or more independent variables on a dependent variable" (Hirst, 1970). Analysis software used for this research was IBM SPSS version 23.…”

Section: Data Collecting Instrument and Analysis Techniquesmentioning

confidence: 99%

Branding and Yemeni Organizations’ Willingness to Pay a Price Premium for Audit Services

Ghaleb¹,

Kaplan²

2020

imj

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Brand is considered as a profitability enhancing factor and an element that enhances the purchase intention and consumers' willingness to pay a price premium. This research studies the effects of brand credibility, perceived uniqueness, and brand trust on consumers' willingness to pay a price premium for audit services in Yemen. The research aims to understand the organizations' attitude toward branded audit firms (big 4) in an unstable political and economic environment, taking Yemen as an example. Data were collected from 121 organizations that were audited in the last two years and analyzed using regression analysis. The analysis results revealed that the audit firms' brand credibility and brand trust do not affect consumers' willingness to pay a price premium, but their perceived uniqueness affects consumers' willingness to pay a price premium for audit services in the Yemeni market. This research discusses the branding effect on the audit firms from the consumer point of view. It provides insights to the audit firms about the organizations' attitude toward their audit fees, and their pricing strategies in an unstable environment.

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“…A command of building a linear regression model was requested to construct a prediction model that best fit the entire data points. The attained model was used to validate and verify the output results of the original system [1].…”

Section: Three Main Factors Modelingmentioning

confidence: 99%