Academic Journal

Detection and forecasting of housing price bubbles in Indonesia, Malaysia, and Singapore

التفاصيل البيبلوغرافية
العنوان: Detection and forecasting of housing price bubbles in Indonesia, Malaysia, and Singapore
المؤلفون: Suryati, Suryati, Rizqiana, Zulfanita Dien
المصدر: Indonesian Journal of Islamic Economics Research; Vol 5, No 2 (2023): Indonesian Journal of Islamic Economics Research; 122-136 ; 2714-5751 ; 2686-5076
بيانات النشر: Fakultas Ekonomi dan Bisnis Islam UIN Salatiga
سنة النشر: 2024
المجموعة: IAIN Salatiga (Institut Agama Islam Negeri) Open Journal System
مصطلحات موضوعية: asset bubble, forecasting, housing bubble, house price
الوصف: Houses are commodities to fulfill basic human needs, so the demand tends to continually increase. The research aims to assess the potential for a housing price bubble and to forecast house prices in the future. The data used in this study are secondary data from three countries, Indonesia, Malaysia, and Singapore. The method used to detect a housing bubble involves comparing the data of the House Price Index with the Consumer Price Index. The observations show that the trend in house prices in Malaysia and Singapore continues to increase each year. Indonesia exhibits a fluctuating trend in house prices. The highest value of Malaysia's housing bubble ratio is 1.94 in the 2nd quarter of 2020. Based on the ARIMA modeling results, the forecasting of the House Price Index in Indonesia, Malaysia, and Singapore shows a positive trend.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://e-journal.iainsalatiga.ac.id/index.php/ijier/article/view/9783/2633; https://e-journal.iainsalatiga.ac.id/index.php/ijier/article/view/9783/2634; https://e-journal.iainsalatiga.ac.id/index.php/ijier/article/view/9783
DOI: 10.18326/ijier.v5i2.9783
الاتاحة: https://e-journal.iainsalatiga.ac.id/index.php/ijier/article/view/9783
https://doi.org/10.18326/ijier.v5i2.9783
Rights: Copyright (c) 2024 Indonesian Journal of Islamic Economics Research ; https://creativecommons.org/licenses/by-sa/4.0
رقم الانضمام: edsbas.86640855
قاعدة البيانات: BASE
الوصف
DOI:10.18326/ijier.v5i2.9783