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Ansari Saleh Ahmar
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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 12 Documents
 1   2 
Search results for , issue "Vol. 1 No. 3 (2020)" : 12 Documents clear
Investigating The Unexpected Price Plummet And Volatility Rise In Energy Market: A Comparative Study of Machine Learning Approaches Arnold Adimabua Ojugo; Oghenevwede Debby Otakore
Quantitative Economics and Management Studies Vol. 1 No. 3 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.006 KB) | DOI: 10.35877/454RI.qems12119

Abstract

The energy market aims to manage risks associated with prices and volatility of oil asset. It is a capital-intensive market that is rippled with chaos and complex interactions among its demand-supply derivatives. Models help users forecast such interactions, to provide investors with empirical evidence of price direction. Our study sought to investigate the reasons for the unexpected plummet in price of the energy market using evolutionary modeling – which seeks to analyze input data and yield an optimal, complete solution that are tractable, robust and low-cost with tolerance of ambiguity, uncertainty and noise. We adopt the Gabillon’s model to: (a) predict spots/futures prices, (b) investigate why previous predictions failed as to why price plummet, and (c) seek to critically evaluate values reached by both proposed deep learning model and the memetic algorithm by Ojugo and Allenotor (2017).
A Simultaneous-Equation Model of Estimating Exchange Rate Pass-Through in Malaysia Yu Hsing
Quantitative Economics and Management Studies Vol. 1 No. 3 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.295 KB) | DOI: 10.35877/454RI.qems193

Abstract

Based on an extended IS-LM-AS model, this study finds that a 1% depreciation of the Malaysian ringgit tends to cause the CPI to rise by 0.1194%. Moreover, more M2 money supply, a lower government borrowing as a percent of GDP, a higher crude oil price, a higher U.S. CPI, and a higher expected consumer price index tend to raise Malaysia’s CPI. Therefore, exchange rate pass-through (ERPT) to the consumer price in Malaysia is partial and incomplete.

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