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Financial Market Integration Between Stock Market From North American Free Trade Agreement (NAFTA) Member Yasir Maulana; Wely Hadi Gunawan
Jurnal Akuntansi dan Pajak Vol 21, No 2 (2021): JAP VOL. 21 No. 02, Agustus 2020 - Januari 2021
Publisher : ITB AAS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jap.v21i02.1518

Abstract

Economic recession or crisis could show a higher possibility of financial crisis transmission in an integrated stock market. Integration between financial markets is a channel of spreading the devastating effects of the crisis. The objective of this study is to detect significant interactions among the stock markets of countries that are members of the North American Free Trade Agreement (NAFTA). NAFTA is a regional partnership with members from the United States, Canada and Mexico that are committed to reducing trade and investment barriers between member countries. The methodology of this research with VAR VECM model consists of three stages, the first analysis of the presence impact of the stock market index using the Granger Causality Test. Second, analyze the speed of response of an index to a change / shock in another index using the Impulse Response Function (IRF). The third stage analyzes the impact of changes / shocks from one index to other indices by using Variance Decomposition. From the 5 sets of stock market data for NAFTA countries, the results of the study show that there is only one cointegration. When viewed in the cointegration process of each of the two data series, cointegration occurs between the Nasdaq index with TSE and Nasdaq with MSE. Whereas TSE and MSE did not find any cointegration.
The Impact of Funding Liquidity on European Bank Risk-Taking Behaviour Yasir Maulana; Nugraha Nugraha; Maya Sari; In Min
Jurnal Akuntansi dan Pajak Vol 22, No 2 (2022): JAP : Vol. 22, No. 2, Agustus 2021 - Januari 2022
Publisher : ITB AAS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jap.v22i2.3867

Abstract

Funding liquidity as the bank ability to generate funds by disbursing assets to meet short-term financial liabilities is very important because of bank intermediary activities. This study conduct to measure the effect of funding liquidity on bank risk-taking behaviour. We used the panel data regression method for data processing with Pooled Least Square (PLS), Fixed Effect Model (FEM), and Random Effect Model (REM). As this study uses bank data from different countries as well as banking and regulatory conditions that different over time, it is predicted that regression parameters are not constant between time and sample. The data period of public-listed commercial bank in Europe are from 2004 to 2016. The result of this study shows that the problem of low profitability in European banks may trigger banks to take bigger risks to achieve higher profits. These results indicate that European banks with higher levels of funding liquidity tend to have more aggressive risk-taking behavior in the future. Bank risk-taking behavior in response to increased liquidity was generally lower during the global financial crisis period. This could be due to increased risk aversion and a tighter monitoring process during this period.
Analisis Volatilitas Return Saham PT Antam (Persero) Tbk dan PT Adaro Energy Tbk Dengan Garch, Egarch Dan GJR Yasir Maulana
Jurnal Akuntansi dan Pajak Vol 20, No 02 (2020): Jurnal Akuntansi dan Pajak Vol. 20 No. 2, Januari 2020
Publisher : ITB AAS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.837 KB) | DOI: 10.29040/jap.v20i2.859

Abstract

An extraordinary event that causes shock can affect volatility which causes asymmetric variance and error or commonly called asimetric shock / effect. This paper aims to analyze the volatility of stock returns of PT ANTAM (Persero) Tbk and PT Adaro Energy Tbk in the period of 2008 to 2016. The research results show that ANTM and ADRO have a GARCH effect and also have a leverage effect where the optimal model is found in the GJR model (0,1,1) for ANTM and GJR (1,1,1) for ADRO. Forecasting results shows that ADRO has higher volatility but in a relatively low percentage of volatility about 0.001 while ANTM have a tendency to decrease volatility with a fairly large percentage of volatility about 0.0025. Keywords: Volatility, GARCH, EGARCH, GJR
Pemodelan Volatilitas Indeks Harga Saham Sektoral di Indonesia Yasir Maulana
LOGIKA : Jurnal Penelitian Universitas Kuningan Vol 13, No 01 (2022)
Publisher : Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/logika.v13i01.5688

Abstract

This study aims to determine the volatility model of the ten sectoral stock indexes on the Indonesia Stock Exchange accompanied by analysis of the influence of leverage and forecasting using the best model obtained. The method used is the ARCH model then extended to symmetric GARCH and asymmetric extension to GARCH, namely, GJR-GARCH and EGARCH. The results of the research that we have done on sectoral stock indexes show that the ten sectoral indices can be modeled for volatility. The best model for Consumer Goods, Miscellaneous, Infrastructure, and Property is GARCH(1,1). As for the Manufacturing, Trade, and Basic Industry sectors, the best model is GJR-GARCH(0,1,1) and for the Mining, Agriculture, and Finance sectors the best model is GJR-GARCH(1,1,1). Our analysis of the leverage effect found that several sectors showed a leverage effect, namely the manufacturing, mining, agriculture, trade, finance, and property sectors. This often reflects the fact that in the Indonesian stock market often volatility increases more quickly when there is bad news than volatility changes when there is good news for these sectoral indices.
STRATEGI MENINGKATKAN DAYA SAING EKONOMI PRODUK UMKM DAN WISATA BERBASIS DIGITAL BUSINESS DI DESA CIHIRUP, KECAMATAN CIAWIGEBANG, KABUPATEN KUNINGAN Robi Awaluddin; Yasir Maulana
Jurnal Abdimas Bina Bangsa Vol. 1 No. 1 (2020): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.265 KB) | DOI: 10.46306/jabb.v1i1.5

Abstract

Cihirup adalah desa di kecamatan Ciawigebang, Kuningan, Jawa Barat, Indonesia, Cihirup merupakan Desa yang paling ujung dari Kecamatan Ciawigebang bagian utara yang menjadi pusat perbatasan antara Kabupaten Kuningan dan Kabupaten Cirebon. Masyarakatnya sendiri mayoritas petani, selain itu penggunaan bahasa dan tradisinya pun masih kental terhadap bahasa dan tradisi sunda. Setelah survey ke lapangan, Di desa cihirup memiliki produk siomay kering, kremes ubi, nugget ayam, tahu hingga rintisan objek pariwisata bangong. Namun, perlu diketahui bahwa banyaknya wirausaha di desa cihirup tidak serta-merta menambah penghasilan masyarakat. Kegiatan wirausaha dilaksanakan dengan sangat tradisional, akses pemasaran terbatas hanya di dalam desa dan dikerjakan dengan proses produksi sederhana. Maka atas latar belakang tersebut, kami menyimpulkan bahwa perlu diadakannya proses pendampingan, pelatihan dan pengembangan skala usaha yang dimiliki oleh penduduk cihirup sehingga pada akhirnya proses bisnis mereka akan berkembang yang berdampak pada peningkatan pendapatan masyarakat
Stock Investment Portfolio Analysis with Single Index Model Yasir Maulana
Indonesian Journal Of Business And Economics Vol 3, No 2 (2020)
Publisher : Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ijbe.v3i2.3717

Abstract

In order to evaluate an optimal portfolio, an important step that investors or investment managers is portfolio analysis. In stock portfolio analysis, methods that can be used include the Markowitz approach and the Single Index Model. This study aims to apply the Single Index Model in finding the beta value of an efficient portfolio line, so that investors can determine the stocks and the proportion of funds needed to form an optimal portfolio. In this study, the data sources used were 1) market share price index that represents market factor or market data, 2) SBI interest rates that represents risk free (rf) and 3) The share prices of PT Ace Hardware Indonesia Tbk, PT Indocement Tunggal Perkasa Tbk and PT Matahari Putra Prima Tbk. The weight of each share in the active portfolio (Wi0) at Active Pf A 1.0000 is ACES of 0.1729, INTP of 0.0460 and MPPA of 0.7811. Then the alpha of the ACES active portfolio is 0.0051, INTP is 0.0002 and the MPPA is 0.0184. Then the calculation results show the residual variance in the active ACES portfolio is 0.0041, INTP is 0.0001 and MPPA is 0.0147. The variance of the Optimal Risky Portfolio of the variance index portfolio and the residual variance of the active portfolio is 0.1054.
INOVASI PENGELOLAAN SAMPAH DESA CILEUYA YANG BERDAMPAK LANGSUNG SECARA LINGKUNGAN DAN KEUANGAN Yasir Maulana; Rina Masruroh; Wachjuni Wachjuni; Pitriani Pitriani; Bunga Azzarri
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 1 (2022)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.244 KB) | DOI: 10.46576/rjpkm.v3i1.1671

Abstract

Desa Cileuya merupakan salah satu desa yang berada di Kecamatan Cimahi, Kabupaten Kuningan. Desa Cileuya terdiri dari lima dusun, sembilan RW, dan empatpuluh RT. Jumlah penduduk sebanyak 5.320 jiwa dengan total 1.871 kepala keluarga 1.871. Masing-masing KK per hari rata-rata menghasilkan sampah 0,4 kg, sehingga sampah yang dihasilkan adalah 748 kg sampah per hari. Namun sampah tersebut belum terkelola dengan baik, masih dibuang sembarangan dan belum dimanfaatkan sama sekali, sehingga cenderung menyebabkan pencemaran lingkungan. Sehubungan dengan hal tersebut, maka dilakukan kegiatan pendampingan terutama kepada Desa Cileuya yang bertujuan untuk memperbaiki pengelolaan sampah desa. Pelaksanaan pendampingan dengan menggunakan metode workshop dan FGD. Hasil kegiatan pendampingan ini adalah pelatihan pengelolaan sampah, perencanaan pembangunan pengelolaan Tempat Pembuangan Akhir dan bank sampah
KEBANGKITAN SEKTOR PARIWISATA OBJEK WISATA TENJO LAYAR DESA SANGKANERANG, KECAMATAN JALAKSANA KABUPATEN KUNINGAN JAWA BARAT Wachjuni Wachjuni; Rina Masruroh; Yasir Maulana
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2022)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.265 KB) | DOI: 10.31949/jb.v3i2.1967

Abstract

Tenjo layar destinasi wisata alam di desa Sangkanerang, Jalaksana, Kuningan, Jawa Barat wilayah kawasan Taman Nasional Gunung Ceremai (TNGC) dengan pemandangan indah, udaranya sejuk, terdapat curug/ air terjun dan beberapa hewan eksotik (Elang Bondol dan Surili). Sejak 2017 sudah ada pengunjung walaupun jumlah tidak banyak,sehingga belum menutupi biaya operasional pengelolaan. Ditambah ada kebijakan pemerintah tahun 2020 untuk menutup objek wisata karena pandemic covid 19. Pengelola objek wisata Tenjo Layar belum berani melakukan promosi secara menyeluruh,hanya melalui media sosial (Facebook dan Instagram) dari handphone milik pribadi pengelola dengan fitur sederhana, hal ini disebabkan perangkat komputer belum tersedia, dan masih minimnya pengetahuan dan pengalaman dalam manajemen pengelolaan dan pengembangan objek wisata Tenjo Layar berbasis teknologi. Disamping itu, belum menjalin kerjasama dengan berbagai pihak-pihak terkait seperti : ( travel agent atau tour operator, perusahaan pengangkutan, akomodasi perhotelan, travel agent local, souvenirshoop ) yang akan mensupport dan menambah ketertarikan wisatawan untuk berkunjung. Mereka sangat membutuhkan pendamping dalam menggali potensi yang terdapat di objek wisata ( alami dan buatan ) dan cara yang tepat mengembangkan secara mandiri sehingga mampu meningkatkan pendapatan bagi objek wisata, desa, dan masyarakat sekitar, tanpa menghilangkan kearifan lokal yang dimiliki dengan bantuan tehnologi dan stakeholders terkait.
PENCAPAIAN TARGET LEVERAGE MELALUI SPEED OF ADJUSTMENT KARAKTERISTIK PERUSAHAAN Yasir Maulana; Ayus Ahmad Yusuf
AKURASI: Jurnal Riset Akuntansi dan Keuangan Vol 1 No 2 (2019)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/akurasi.v1i2.131

Abstract

This paper aims to determine the effect of company characteristics on target leverage with the relation of the speed of adjustment to target leverage. The speed of adjustment is examined to complete the analysis of the concept of dynamic capital structure in Indonesia. The characteristics of the companies studied are profitability, company size, company growth, industry, tangibility, inflation and the deficit and financial surplus of companies in the property, real estate and construction sectors listed on the Indonesia Stock Exchange in 2008 to 2015. The results of this study show that property, real estate, and construction sector companies are significantly implementing leverage targets. The data also shows that there is a significant effect of speed of adjustment to the leverage target which is faster when the company has a financial surplus compared to when the financial deficit.
ANALISIS VOLATILITAS DAN FORECAST SAHAM PERUSAHAAN SEKTOR INDUSTRI OTOMOTIF DAN KOMPONEN PADA KOMPAS 100 YANG LISTING DI BURSA EFEK INDONESIA Yasir Maulana
Indonesian Journal of Strategic Management Vol 2, No 2 (2019)
Publisher : Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ijsm.v2i2.1967

Abstract

ABSTRACTThe purpose of this study is to analyze volatility, choose the most optimal model andforecast of stock data on companies in various industrial sectors with the automotiveindustry and components sub-sector listed on the Stock Exchange during the period2011-2015. The return of stock data in the automotive sub-sector is modeled by theGARCH model. To see the effect of leverage, the data is re-modeled with the EGARCHand GJR models. Based on the information and probability criteria, it appears that themore optimal models are the GARCH model for AUTO, and GJR for ASII and GJTL.After the leverage effect is seen in the GJR model, then forecasting is done. Forecastingresults are in accordance with their respective optimal models in a 5% confidenceinterval, so it is expected that this model can forecast the price of future stock data.Keywords : Volatiliy, Forecast, GARCH, EGARCH, GJR ABSTRAKTujuan penelitian ini adalah menganalisis volatilitas, memilih model yang palingoptimal dan melakukan forecast data saham pada perusahaan dalam sektor anekaindustri dengan sub sektor industri otomotif dan komponen yang listing di BEI selamaperiode 2011-2015. Data return saham sub sektor otomotif dimodelkan dengan modelGARCH. Untuk melihat adanya leverage effect, data dimodelkan kembali dengan modelEGARCH dan GJR. Berdasarkan information criteria dan likelihood, terlihat bahwamodel yang lebih optimal adalah model GARCH untuk AUTO, dan GJR untuk ASIIdan GJTL. Setelah leverage effect terlihat pada model GJR, kemudian dilakukanforecasting. Hasil forecasting sesuai dengan model optimalnya masing-masing beradadalam confidence interval 5%, sehingga diharapkan model tersebut dapatmenggambarkan harga data saham di masa yang akan datang.Kata Kunci : Volatilitas, Forecast, GARCH, EGARCH, GJR