A Multiple Regression Model to Define Housing Affordability Framework Case Study of Batu Pahat, Malaysia

2018 ◽  
Vol 24 (6) ◽  
pp. 4666-4673
Author(s):  
Burhaida Burhan ◽  
Teo Zhi Hao ◽  
Kamalahasan Achu
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Multiple Regression Model ◽  
Housing Affordability

FORECASTING CONSUMER PRICE INDEX (CPI) USING TIME SERIES MODELS AND MULTI REGRESSION MODELS (ALBANIA CASE STUDY)

2018 ◽  
Author(s):  
Eralda Gjika Dhamo ◽  
Llukan Puka ◽  
Oriana Zaçaj
Keyword(s):  
Time Series ◽  
Regression Model ◽  
Multiple Regression ◽  
Consumer Price Index ◽  
Multiple Regression Model ◽  
Time Series Models ◽  
Financial Indicators ◽  
Consumer Prices ◽  
Approach Time

In this work we analyse the CPI index as the official index to measure inflation in Albania, Harmo-nized Indices of Consumer Prices (HICPs) as the bases for comparative measurement of inflation in European countries and other financial indicators that may affect CPI. This study is an attempt to model CPI based on combination of multiple regression model with time series forecasting models. In the first approach, time series models were used directly on the CPI time series index to obtain the forecast. In the second approach, the time series models (SARIMA, ETS) were used to model and simulate forecast for each subcomponent with significant correlation to CPI and then use the multiple regression model to obtain CPI forecast. The projection of this indicator is important for understand-ing the country's economic and social development. This study helps researchers in the field of time series modeling, economic analysis and investments.

scholarly journals Determinants of internal audit efficiency

2002 ◽  
Vol 33 (3) ◽  
pp. 53-62 ◽  
Author(s):  
H. A. Kruger ◽  
P. J. Steyn ◽  
W. Kearney
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Regression Model ◽  
Multiple Regression ◽  
Internal Audit ◽  
Efficiency Score ◽  
Multiple Regression Model ◽  
Data Envelopment ◽  
Audit Efficiency

This paper describes a case study in which Data Envelopment Analysis (DEA) methodology was combined with regression analysis to evaluate the efficiency of an Internal Audit (IA) department over twelve consecutive months. Efficiency of audit projects was first estimated using DEA. These results were then used as one of the outputs to perform a multi-period DEA study with a choice of other inputs and outputs specific to the Internal Audit department under review. The efficiency of audit projects is viewed as one of the key outputs of an IA department and an explanation of these efficiencies would therefore be useful (necessary) to enhance insights gained from the DEA model applied to the twelve months. To assist in this explanation a multiple regression model was employed in which the efficiency score obtained from the DEA computations for the audit projects was used as the dependent variable. Following a description of the models and data, the results are discussed and notes are made of certain aspects pertaining to the department reviewed.

Factors Affecting NPAs in Indian Banking Sector

Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Banking Sector ◽  
Relative Weight ◽  
Multiple Regression Model ◽  
Factors Affecting ◽  
Weight Analysis ◽  
Specific Factors ◽  
Relative Weight Analysis ◽  
Bank Specific Factors

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.

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