Sugiarto Sugiarto
Universitas Prasetiya Mulya

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EVALUASI KOMPREHENSIF KINERJA RETURN PER UNIT RISK SEKTOR-SEKTOR INDUSTRI JASICA Fongnawati Budhijono; Sugiarto Sugiarto; Januar Wahjudi; Bayu Laksma Pradana
Jurnal Bina Akuntansi Vol 9 No 2 (2022): Jurnal Bina Akuntansi Volume 9 Nomor 2 Juli Tahun 2022
Publisher : Sekolah Tinggi Ilmu Ekonomi Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52859/jba.v9i2.219

Abstract

This study analyzes the performance of return per unit risk of industrial sectors that are members of the JASICA index (Jakarta Stock Industrial Classification) index. The sample used is 900 data on average returns per unit risk from each industrial sector for the period 2004 to 2018, which is generated from 35235 daily return data from all sectors of the JASICA Index. Data obtained from the Bloomberg terminal. Data analysis tools used in this study include descriptive statistics, trend analysis, ANOVA and Tukey HSD Post hoc test. From descriptive statistics, it is found that sector JAKTRAD produces the highest average return per unit risk, followed by sector JAKPROP, sector JAKBIND, sector JAKCONS and sector JAKFIN, and so on. In descriptive statistics, sector JAKAGRI is the sector that produces the lowest average return per unit of risk. Further analysis of the trend of the average return per unit risk in the period of observation does not show any significant differences in the direction of movement between the performance of one sector and other sectors. The results of the ANOVA and Tukey HSD Post hoc tests only found that the average return per unit risk of Sector JAKAGRI was significantly different from the average return per unit risk of sector JAKPROP and sector JAKTRAD, while the other sectors did not show a significant difference.
Post hoc test of Indonesia domestic systemically important banks performance at the ASEAN-5 level Fongnawati Budhijono; Sugiarto Sugiarto; Muhammad Fuad
IDEAS: Journal of Management & Technology Vol 1, No 2 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.38 KB)

Abstract

This study aims to examine whether the existence of strong banking interconnectivity in ASEAN brings about equality in bank performance, especially for banks that are classified as Domestic Systemically Important Banks (D-SIB). This study traces the performance of D-SIB banks operating in Indonesia at the ASEAN-5 level (Indonesia, Malaysia, Thailand, the Philippines, and Singapore) in 2007-2019. ROA is used to indicate bank performance, especially related to bank profitability, which is an important aspect for bank sustainability. The research data was obtained from the official websites of financial organizations and institutions such as World bank, IMF, OJK, Bloomberg terminal, and financial statements of banks in ASEAN-5 with a sample of 31 D-SIB banks. By using descriptive analysis and ANOVA as well as post hoc tests and scatter diagrams, the results of the study show that D-SIB banks operating in Indonesia have an ROA performance that dominates D-SIB banks which are classified as top 10 average ROA. It can be seen that D-SIB banks operating in Indonesia are not inferior to DSIB banks operating overseas and even proven to be able to outperform D-SIB banks operating overseas.
STRATEGI INVESTASI BERBASIS RETURN PER UNIT RISK Sugiarto Sugiarto; Anton Wachidin Widjaja; Fongnawati Budhijono; Muhammad Fuad; Januar Wahjudi
Jurnal Bina Manajemen Vol 11 No 1 (2022): Jurnal Bina Manajemen Volume 11 Nomor 1 September Tahun 2022
Publisher : STIE Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52859/jbm.v11i1.263

Abstract

This research is aimed at obtaining an industrial sector that has the ability to produce an Average Return Per Unit Risk (ARPUR) which is significantly better than the ability of other industrial sectors as a reference for implementing a return per unit risk-based investment strategy. In this study, 900 average return per unit risk data from each industrial sector index for the 2004 to 2018 observation period were used. The research data was generated from 35235 daily return data from all index sectors in the Jakarta Stock Industry Classification downloaded from the Bloomberg terminal. Data analysis was carried out using descriptive statistics, Analysis of variance and further tests. For investors who emphasize attention to the industrial sector with the best average ARPUR in determining the Return Per Unit Risk-Based Investment Strategy, attention can be paid to industrial sector 9 (JAKTRAD, Jakarta Trade, Services, and Investment) and industrial sector 6 (JAKPROP, Jakarta Construction, Property, and Real Estate) which ranks first and ranks second for the highest average ARPUR. However, based on a more comprehensive study, industrial sector 9 provides more comfort for investors because in addition to showing the highest average ARPUR performance, it also shows a lower dispersion than sector 6.
LQ45 Stock Index Abnormal Return Reaction to the Covid-19 Pandemic: the Even Study Methodology Ikin Solihin; Sugiarto Sugiarto; Gracia Shinta S. Ugut; Edison Hulu
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 5 No 1 (2022): Sharia Economic: January, 2022
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v5i1.2051

Abstract

LQ45 Index stocks are liquid stocks with high market capitalization, have a high trading frequency, growth prospects, and fairly good financial conditions, are not volatile and have been objectively selected by the IDX. This research aims to determine the abnormal return of LQ45 Stock Index to the covid-19 pandemic. This research uses even study method with population consisted entirely of daily data from the ten most populous cities in the United States. The result of this study shows that there are significant differences in abnormal returns before and after the announcement of the Covid-19 pandemic by WHO. The announcement of this pandemic is responded to as a negative signal by investors so that information regarding the announcement of the Covid-19 pandemic by the WHO is responded to early and at the time of launching the information no longer had any effect because the prices had moved towards equilibrium. The future research that extend the research time period and include other external factors such as lockdown policies or inflation is needed as the limitation in this research.