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This Author published in this journals
All Journal Gadjah Mada International Journal of Business Journal of Applied Engineering and Technological Science (JAETS)
Azlina Ahmad
Universiti Kebangsaan Malaysia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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International Financial Reporting Standards Foreign Direct Investment in Asean Countries Maryam Yousefi Nejad; Azlina Ahmad; Mohd Fairuz Md Salleh; Ruzita Abdul Rahim
Gadjah Mada International Journal of Business Vol 20, No 3 (2018): September-December
Publisher : Master in Management, Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.387 KB)

Abstract

The objective of this study is to investigate the relationship between International Financial Reporting Standard (IFRS) and Foreign Direct Investment (FDI) inflows. FDI has been identified as an economic consequence of IFRS. However, thus far, few studies have examined this issue in developing countries and there are no studies which have examined IFRS-FDI in ASEAN countries. In order to fulfill this objective, this study hypothesizes that IFRS is positively associated with FDI inflows. The hypothesis was empirically tested using a sample consisting of the ten ASEAN countries from 2001 to 2016, using a bias corrected Least Square Dummy Variable (LSDVC), and Ordinary Least Square (OLS). The results of the LSDVC and OLS analyses indicate that IFRS is positively associated with FDI inflows. Normally after the adoption of a new standard such as IFRS, regulators, practitioners and academicians would be interested in understanding the consequences. Therefore, this study contributes to the understanding of the economic consequences of IFRS. This study also provides evidence regarding the outcomes of IFRS, from the aspects of FDI inflows’ enhancement. Therefore, the outcomes of this study may be useful for adopter and non-adopter countries to understand the economic consequences of IFRS. The findings may also provide important inputs to policy makers of non-adopter countries who are contemplating the adoption of IFRS. The positive relationship between IFRS and FDI inflows provides evidence that IFRS is an important determinant of FDI inflows, and eventually economic growth.
Integrating Fibonacci Retracement To Improve Accuracy of Time Series Prediction of Gold Prices Bagus Priambodo; Ruci Meiyanti; Samidi Samidi; Gushelmi Gushelmi; Rabiah Abdul Kadir; Azlina Ahmad
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 2 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i2.6073

Abstract

The prediction of gold prices is crucial for investors and policymakers due to its significant impact on global financial markets. Machine learning and deep learning have been used for predicting gold prices on time series data. This study employs MLR, SVM and CNN LSTM with Fibonacci retracement levels to forecast gold prices based on time series data. The experiment results demonstrate that combining Fibonacci retracement with model prediction significantly enhances predictive performance compared to prediction without Fibonacci. The use of Fibonacci levels has resulted in a higher R² score and lower RMSE score showing that Fibonacci levels influence the accuracy of gold price predictions and strengthen the overall reliability of gold price forecasts. The findings underscore the potential of combining machine learning models with technical analysis tools in financial forecasting. Integrating the Fibonacci retracement level offers valuable insights for market participants, enabling more informed investment decisions and effective risk management strategies.
Co-Authors Bagus Priambodo Gushelmi Maryam Yousefi Nejad Mohd Fairuz Md Salleh Rabiah Abdul Kadir Ruci Meiyanti Ruzita Abdul Rahim Samidi Samidi