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Open access Aug 2026

Development of Statistical Models for Predicting Nigeria’s GDP Rate for Economic Growth

Accurate forecasting of Gross Domestic Product (GDP) growth is essential for effective economic planning, policy formulation, and sustainable development. This study developed and compared the forecasting performance of Autoregressive Integrated Moving Average (ARIMA) and Fourier time series models for predicting Niger...

B. Magaji, Hussaini Abubakar · 0 citations
Open access Oct 2026

Combining SARIMA and EGARCH Models for Modeling and Analyzing Real GDP Data in Albania

Gross domestic product (GDP) is an important measure that reflects the development of the national economy and supports relevant sectors in formulating informed policies and strategic decisions. The purpose of this study is to analyze the trend and volatility of the real GDP time series from 2000 to 2024 in Albania....

Agim Ndregjoni, Teuta Çerpja · 0 citations
Open access 2026

Trends and Forecasting of Total Credit to the Economy in Albania: A Time Series Modelling Approach

Bank lending channels funds from surplus to deficit economic units and supports economic activity, making aggregate credit a relevant indicator for financial monitoring and medium-term planning. This study models and forecasts the monthly evolution of total credit to the economy in Albania using 192 observations coveri...

Odeona Veizaj · 0 citations
Open access Aug 2026

COMPARATIVE FORECASTING OF PAKISTAN’S REAL GDP GROWTH: AN EMPIRICAL ASSESSMENT OF ALTERNATIVE FORECASTING APPROACHES

Gross domestic product (GDP) growth is an important indicator of macroeconomic performance and provides essential information for economic planning, resource allocation, and policy formulation. Accurate forecasting of economic growth is therefore crucial, particularly for developing economies such as Pakistan, where ec...

Uzair Essa Kori, Sumreen Fatima, Sumera Saad et al. · 0 citations
Review Open access Sep 2026

A Review of Multivariate Statistical Modelling for Analysis of NEPSE Stock Data

The study offers insights into the relative effectiveness of different forecasting models and highlights the need for multivariate modeling of the NEPSE index to give much richer and realistic picture.

Shantiram Subedi, R. Kayastha · 0 citations
Open access Aug 2026

FORECASTING SOME MACROECONOMIC VARIABLES IN NIGERIA: EVIDENCE FROM ARIMA MODEL

`This study aims to forecast main macroeconomic variables in Nigeria, including GDP, inflation rate, exchange rate, and unemployment rate, using the Autoregressive Integrated Moving Average (ARIMA) model. Employing monthly data from January 2010 to December 2023 sourced from the Central Bank of Nigeria, National Bureau...

M. Alfa, Muhammad Kudu Faruk, M. Alfa · 0 citations

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