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Quantitative Economics and Management Studies
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 27226247     DOI : https://doi.org/10.35877/qems
Core Subject : Economy, Science, Education,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics
Journal of Quantitative Economics and Management Studies (QEMS) is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of economics, management, business, finance, marketing, accounting. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the QEMS follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekomomi dan Ekonometrika
Articles 14 Documents
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Search results for , issue "Vol. 6 No. 1 (2025)" : 14 Documents clear
A Seasonal ARIMA (SARIMA) Model for Forecasting Domestic Passenger Traffic at Sultan Hasanuddin Airport Meliyana, Sitti Masyitah; Hafid, Hardianti; Mar'ah, Zakiyah; Muthahharah, Isma
Quantitative Economics and Management Studies Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3935

Abstract

The growth of the domestic aviation industry in Indonesia has led to a significant increase in passenger numbers, particularly at major airports such as Sultan Hasanuddin Airport. Accurate forecasting of passenger traffic is essential for effective planning and resource allocation. This study aims to develop a suitable time series model to forecast the number of domestic air passengers departing from Sultan Hasanuddin Airport. Using monthly passenger data from January 2019 to April 2024 obtained from the Indonesian Badan Pusat Statistik (BPS), the Seasonal Autoregressive Integrated Moving Average (SARIMA) model was applied. The modelling process followed the Box-Jenkins methodology, involving data exploration, stationarity testing, model identification, parameter estimation, diagnostic checking, and model validation. Among several candidate models, the ARIMA (0,1,1)(0,0,1)12 model was identified as the most appropriate, producing normally distributed, independent residuals and yielding a Mean Absolute Percentage Error (MAPE) of 4.5%. The results demonstrate that the SARIMA model provides a reliable tool for forecasting short-term domestic passenger flows at the airport.
Dynamic Determinants of Share Price in Emerging Markets: Evidence from System GMM Estimation in Nigeria Edokpa, Solomon Ighodalo; Akpadaka, Ovbe Simon
Quantitative Economics and Management Studies Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3959

Abstract

This study investigates the dynamic determinants of share price among listed firms in Nigeria’s Consumer Goods and Agriculture sectors using a decade-long panel dataset covering the period from 2012 to 2023. Anchored on the theoretical perspectives of the Efficient Market Hypothesis, Signalling Theory, and Agency Theory, the study evaluates how firm-specific indicators such as earnings per share (EPS), return on equity (ROE), current ratio, debt-to-equity ratio, and total asset turnover, as well as macroeconomic variables like exchange rate and GDP per capita, influence share price in an environment characterised by institutional inefficiencies and information asymmetry. The empirical analysis begins with a static panel regression using the Fixed Effects model to establish a baseline understanding. To improve robustness and account for econometric challenges such as endogeneity, serial correlation, and unobserved heterogeneity, the study adopts the two-step System Generalised Method of Moments (System GMM) as the main estimation technique. The dynamic model reveals strong persistence in share price, as lagged share price is significantly associated with current values. While EPS shows a positive and significant effect in the static model, the dynamic GMM results indicate a negative and significant relationship, suggesting that reported earnings may reflect investor scepticism or earnings manipulation, particularly in contexts with weak governance oversight. Other variables, including ROE, leverage, and macroeconomic indicators, remain statistically insignificant in the dynamic specification. Year effects are incorporated to control for time-specific macro shocks. This study contributes to frontier market finance literature by offering sector-specific insights and demonstrating the added value of dynamic modelling. It also cautions investors and policymakers against excessive reliance on earnings-based metrics without adequate consideration of the institutional environment.
Reconstructing Entrepreneurship Learning Through a Managerial Approach Based on Local Ethnoscience Azzajjad, Muhammad Fath; Ahmar, Dewi Satria; Ningsih, Purnama; Nurfianti
Quantitative Economics and Management Studies Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3960

Abstract

This study looks at how students' abilities in contextual company development are affected when entrepreneurship education is reconstructed using a management style grounded on local ethnoscience. 18 students from the 2019 cohort who took the Entrepreneurship course in the Chemistry Education programme at Universitas Sembilanbelas November Kolaka provided survey data for the study. Through direct observation and group business planning, students were introduced to fundamental entrepreneurial principles and assisted in interacting with local ethnoscientific resources, including sago, cassava, green vegetables (spinach), clove, honey, shrimp, and milkfish. Standardised questionnaire encompassing eight important markers of ethnoscientific understanding in entrepreneurship was used to gather data. To understand the findings, descriptive and mapping data analysis were used. The findings show that students are highly engaged and competent in locating, evaluating, and innovatively using local resources for entrepreneurship. The most motivating resources were honey, cassava, and shrimp, and students showed great aptitude in contextual business design, product creation, and team-based entrepreneurial analysis. The main results support the idea that including local ethnoscience into entrepreneurship education increases both practical entrepreneurial abilities and cultural and ecological sensitivity. This concept is a potential educational framework for creating entrepreneurs who are innovative, locally rooted, and prepared for the future.
Implementation of Binary Logistic Regression and Chi-Squared Automatic Interaction Detection (CHAID) to Recipients of the Prosper Family Card Program in Makassar City Rais, Zulkifli; Ruliana; Indrayasaro
Quantitative Economics and Management Studies Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3981

Abstract

The binary logistic regression analysis method is a classification method that forms a relationship between a dichotomous dependent variable and an independent variable, while the chi-squared automatic interaction detection (CHAID) analysis method is a decision tree classification method for studying the relationship between independent variables and variables. bound by using the chi-square test statistic as the main tool. This research aims to determine the magnitude of the resulting accuracy value and what factors influence recipients of the Prosperous Family Card program in Makassar City based on National Socio-Economic Survey data in 2022 using the binary logistic regression method and the chi-squared automatic interaction detection method (CHAID). The results of this research using the binary logistic regression method show that the variables of the highest level of education of the head of the household (X4) and defecation facilities (X7) have a significant effect on recipients of the Prosperous Family Card program in Makassar City with an accuracy value of 75.78%, while the chi-squared automatic interaction detection (CHAID) method also shows that the variables of the highest level of education of the head of the household (X4) and defecation facilities (X7) have a significant effect on recipients of the Prosperous Family Card program in Makassar City with the resulting accuracy value of 75%. Based on the accuracy values of the two methods, the binary logistic regression method is the appropriate method for classifying recipients of the Prosperous Family Card program in Makassar City

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