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Hubungan Antara Kemiskinan dan Pertumbuhan Ekonomi di Provinsi Sulawesi Barat: Pendekatan Vector Autoregresive (VAR) Nabila, Luthfannisa Afif; Desviona, Nayla; Latif, Ikhsan Abdul
Jurnal EMT KITA Vol 8 No 2 (2024): APRIL 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v8i2.2436

Abstract

This research aims to analyze the relationship between poverty and regional economic growth in West Sulawesi province. Using panel data from five city/districts during the 2011-2022 period, the analysis model applied is vector autoregressive which is then equipped with a Granger causality test. The study results reveal that economic growth significantly reduces poverty levels. On the other hand, the poverty rate does not affect economic growth. The results of the Granger causality test reveal the existence of one-way causality from economic growth to poverty. The poverty rate responds to changes in economic growth. On the other hand, economic growth does not respond to changes in poverty rate. This finding has the implication that increasing economic growth is very important when regional governments of west sulawesi province effort to reduce poverty rate.
MULTIOBJECTIVE FUZZY PORTFOLIO MODEL IN INDONESIAN SYARIAH STOCK MARKET Hikayat, Chairil; Nabila, Luthfannisa Afif; Jana, Padrul
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1133-1142

Abstract

The current global financial instability has attracted investors in Indonesia to the Sharia capital market, which promises bright opportunities. This study emphasizes the importance of using a fuzzy approach in managing multi-objective portfolios to deal with uncertainty in the Sharia stock market. This approach allows investors to manage their portfolios more effectively by considering various investment objectives simultaneously, such as maximizing profits and minimizing risks, which are very important amidst the ever-changing market dynamics. The method in this study is a fuzzy portfolio approach using the Treynor and Sharpe ratios in evaluating investment performance. Data is processed using fuzzy trapezoids, and portfolios are used to minimize risk without using short sales so that it remains balanced between potential profits and risks. The results of the analysis show an expected rate of return of 0.00091 and a risk level of 0.000421. When the allocation is set with a proportion of 93.8% for ANTM shares and 6.17% for KLBF, the strategy can provide a return of 0.091% with minimized risk. This creates an optimal balance between profit opportunities and risk management.