The Effect of Trading Volume, Frequency and Market Capitalization on Stock Return of Chemical Sub Sector

The purpose of this study was to analyze the impact of trading volume, trading frequency, and market capitalization on stock returns of the chemical sub-sector. This study uses quantitative data. The relationship between trading volume, trading frequency, and market capitalization with stock returns will be tested using single linear regression analysis, multiple linear regression analysis, correlation coefficient, coefficient of determination, autocorrelation, multicollinearity, heteroskedasticity, t-test, and F test. The independent variables in this study are trading volume, trading frequency, and market capitalization and the dependent variable is stock returns. The relationship between trading volume, trading frequency, market capitalization and stock returns can be written in the following multiple regression equation: Y = 0,123+ 0,866 X1 + 0,000 X2 + 0,000086 X3. Based on a simple regression test, all independent variables have a significant effect on the dependent variables, but using a multiple regression test, no one of all independent variables significantly affects the dependent variable. Based on the F test which significance value of 0.008 < 0.05, can conclude that variables trading volume, trading frequency, and market capitalization simultaneously have significant effect on stock returns. The coefficient of determination of 0,311 showed that the three independent variables have a contribution value of 31.1%, which means that trading volume, trading frequency, and market capitalization affect stock returns by 31.1%, and the remaining 68.9% is influenced by other factors that are not described in this study

Pengaruh Perlakuan Metode Penyusutan, Perolehan, Pengakuan Dan Nilai Wajar Terhadap Aset Tetap Berdasarkan Implementasi Kebijakan PP No 71 Tahun 2010 Tentang Standar Akuntansi Pemerintahan

Penelitan ini bertujuan untuk menganalisa bagaimana penerapan akumulasi penyusutan dengan menggunakan Metode Penyusutan Garis Lurus dan Saldo Menurun Ganda, bagaimana Nilai Perolehan, Nilai Pengakuan, Nilai Wajar pengaruhnya terhadap aset tetap dan Menganalisa Nilai Uji Beda Antara Metode Penyusutan Garis Lurus dengan Metode Saldo Menurun Ganda, Menganalisa penyajian nilai aset tetap pada laporan keuangan. Penelitian kualitatif deskriptif dengan uji normalitas Kolmogorof-smirnov dan uji analisis hipotesis secara parsial menggunakan uji analisis t hitung dan f hitung secara simultan. Hasil perhitungan pada uji normalitas data disimpulkan bahwa data terdistribusi normal, analisis hipotesis uji t hitung dan f hitung dihasilkan variabel independent terdapat pengaruh secara signifikan        terhadap variabel dependent, tidak terjadi mulkikolinieritas serta tidak terdapat perbedaan yang signifikan antara hasil penyusutan

Analisis Tingkat Kesehatan Bank ( BPRS) Amanah Ummah Bogor Pada Sebelum Dan Selama Pandemi Covid-19 (Periode 2019-2020)

Pandemi Coronavirus Disease 2019 (COVID-19) yang  menimpa wilayah Indonesia berdampak cukup signifikan terhadap sektor riil termasuk usaha mikro,kecil dan menengah, yang sangat berpengaruh kepada kinerja bank  tak terkecuali bank pembiayaan rakyat Syariah. Kinerja BPRS, sedikit melambat seiring pandemi Covid-19 Merujuk peraturan  (OJK)  Nomor 20/PJOK.03/2019 maka tujuan penelitian ini untuk mengetahui tingkat kesehatan bank Pembiayaan Rakyat Syariah Amanah Ummah, ditinjau dari aspek  permodalan,kualitas aset,rentabilitas dan likuiditas. Jenis penelitian deskriptif komparatif. Sumber data diperoleh secara primer, dari laporan keuangan priode 2019-2020.Hasil penilaian tahun 2019 : CAR sebesar 25,47%, NPF sebesar 2,62%, ROE sebesar 27,87 %. ROA sebesar 3,31 %,dan CR sebesar 20,82%.Hasil penilaian tahun 2020: CAR sebesar  18,40 %, NPF sebesar  3,74 %, ROE sebesar 24,10 %, ROA  sebesar  2,99 dan CR  21,11%.Terdapat penurunan yang tidak signifikan  di tahun 2020 pada rasio permodalan dan rasio rentabilitas namun tetap pada peringkat 1. Kesimpulan BPRS Amanah Ummah sebelum pandemi  dan pada saat pandemi covid-19  kriteria penilaian tingkat kesehatan bank di  peringkat 1,keterangan  SANGAT SEHAT

FRIKSI PERDAGANGAN DAN PENGARUHNYA TERHADAP ESTIMASI EXPECTED RETURN PADA CAPITAL ASSET PRICING MODEL DI BURSA EFEK INDONESIA

The main purpose of this research is to measure trading friction for high frequency financial data at Bursa Efek Indonesia (BEI) and to adjust trading friction to estimate expected return in capital asset pricing model. Trading friction could be measured by quoted half spread, effective half spread, traded half spread and proportional half spread. This research defines trading friction as the difficulties faced by investors in the stocks trading which is sourced from implisit transaction cost. The sources of trading friction are real friction dan informational friction.Based on calculations, it is known that the highest trading frictions derived from the information. These results prove that the average trading friction is equal to 2,35% per year. The estimation results of the expected return on the capital asset pricing model that takes into account the trading frictions can explain the existence of a positive relationship between beta with the expected return on the entire observation period. Through compare mean test before and after adjustment using either proportional quoted half spread or proportional effective half spreads, it can be proved that the trading frictions lead to an increase in the beta

Friksi Perdagangan dan Korelasinya Terhadap Karakteristik Perdagangan Pada Data Keuangan Berfrekuensi Tinggi Di Bursa Efek Indonesia

The sources of trading friction are studied, robust empirical measures of friction are provided. Four distinct measures of trading friction are computed from transactions data for 200 IDX stocks. Each observation for a company is an average over the 245 daily observations.All friction measures are expressed as a percentage of the average price (mentioned as the proportional half spread). The degree to which the various measures of trading frictions are associated with each other and with trading characteristics of stocks is examined. All the total friction measures are strongly related to the same variables in the same way. For association of trading friction with trading characteristics, the independent variables are the log of the average daily dollar volume, the stock's, the log of the average closing price and the log of the average number of trades per day. Quoted, effective and traded half spread measures decrease in number of trades, average daily dollar volume and stock price, and these variables are statistically significant in Indonesian Stock Exchange

PENGARUH BETA, FINANCIAL LEVERAGE DAN OPERATING LEVERAGE TERHADAP EXPECTED RETURN SEHAM DENGAN PENDEKATAN REGRESI BERGANDA

Sifat ketidakpastian dari keputusan investasi di masa mendatang, disebabkan adanya risiko yang dihadapi investor dalam upaya mendapatkan return (imbal hasil) yang diharapkannya. Penulis mencoba melakukan penelitian mengenai faktor-faktor yang mempengaruhi expected return saham seperti buta, operating leverage dan financial leverage dari beberapa perusahaan yang terdaftar di Bursa Efek Jakarta (BEJ).Dari hasil pengujian dengan menggunakan model regresi linier berganda, dijumpai bahwa faktor atau variabel yang paling signifikan dan konsisten adalah beta dan DER. Sementara pengaruh dari variabel operating leverage masih bersifat sementara (temporer). Dalam keadaan tertentu, variabel ini dapat mempengaruhi expected return, namun, pada keadaan lain pengaruh tersebut tidak signifikan

FRIKSI PERDAGANGAN DAN PENGARUHNYA TERHADAP ESTIMASI EXPECTED RETURN PADA CAPITAL ASSET PRICING MODEL DI BURSA EFEK INDONESIA

The main purpose of this research is to measure trading friction for high frequency financial data at Bursa Efek Indonesia (BEI) and to adjust trading friction to estimate expected return in capital asset pricing model. Trading friction could be measured by quoted half spread, effective half spread, traded half spread and proportional half spread. This research defines trading friction as the difficulties faced by investors in the stocks trading which is sourced from implisit transaction cost. The sources of trading friction are real friction dan informational friction. Based on calculations, it is known that the highest trading frictions derived from the information. These results prove that the average trading friction is equal to 2,35% per year. The estimation results of the expected return on the capital asset pricing model that takes into account the trading frictions can explain the existence of a positive relationship between beta with the expected return on the entire observation period. Through compare mean test before and after adjustment using either proportional quoted half spread or proportional effective half spreads, it can be proved that the trading frictions lead to an increase in the beta