Accuracy of dividend discount model and p/e ratio valuation in Indonesia stock exchange

2021 ◽  
Author(s):  
Eddy Sutjipto ◽  
Wawan Setiawan
2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Yuliah Yuliah ◽  
Leni Triana ◽  
Ihwan Satria Lesmana

AbstrakPenilaian saham digunakan untuk membandingkan antara nilai intrinsik dan nilai pasar saham, yang mana akhirnya akan dijadikan sebagai dasar keputusan investasi apakah investor akan menjual atau membeli saham. penelitian ini bertujuan untuk mengetahui dan manganalisa hasil dari perhitungan penilaiain saham menggunakan Dividend Discount Model (DDM) dengan model pertumbuhan konstan. Metode  penelitian yang digunakan adalah deskriptif kuantitatif dengan objek penelitian pada perusahaan tekstil dan garmen yang terdaftar di Bursa efek Indonesia tahun 2018. Teknik pengambilan sampel menggunakan puposive sampling dan didapat 5 sampel penelitian. Hasil penelitian ini menunjukkan bahwa dari 5 perusahaan memiliki hasil yang berbeda, dimana saham BELL dan RICY berada dalam kondisi overvalued karena nilai intrinsik lebih rendah dibanding dengan nilai pasar, sedangkan pada saham PBRX, SRIL dan TRIS berada pada posisi undervalued karena nilai intrinsik lebih tinggi dibandingkan dengan nilai pasar.Kata Kunci: Nilai Saham, Dividend Discount Model.AbstractStock valuation uses to compare between intrinsic value and stock market value, which ultimately will be used as a basis for investment decisions whether investors will sell or buy shares. This study aimed to determine and analyze the results of stock valuation calculations using the Dividend Discount Model (DDM) with a constant growth model. The research method used is descriptive quantitative research objects in textile and garment companies listed on the Indonesia Stock Exchange in 2018. The sampling technique uses purposive sampling and obtained five research samples. The results of this study indicate that all of the five companies having different effects. Where BELL and RICY shares were in overvalued conditions because the intrinsic value was lower than the market value, while in PBRX, SRIL and TRIS stocks undervalued because the inherent value is higher than with market value.Keywords: Stock Valuation, Dividend Discount Model.


2018 ◽  
Vol 20 (1) ◽  
pp. 26
Author(s):  
Vandara Vavras Setia

LQ-45 is a group share consisting of 45 shares of the elect with the level of market capitalization and liquidity level above the average for the other stocks. So LQ-45 became one of the most volatile due to the high level of liquidity and market activities. The share price berfluktuatif is a risk that must be faced by investors. Assessment of the share price can be done to minimize the risk of one price.This research aims to know and analyze the results from the calculation of the stock valuation using the Dividend Discount Model (DDM) as the basis for decision on investment companies including in the LQ-45 in Indonesia Stock Exchange the year 2013-2015. This research is classified as quantitative descriptive research and sampling used is purposive sampling. A sample of this research as much as 11 companies in accordance with the criteria.Based on the results of research and analysis of the data using the method Dividend Discount Models (DDM) not constant growth shows that the entire company in 2015 including overlavued category among others, ADRO, AKRA, ASII, ( BBCA, BBNI, BBRI, BMRI, CPIN, GGRM, UNTR, UNVR. While, 2013 and 2014 only one company including undervalued categories namely ASII. Investment decision that can be taken when have stocks including overvalued category, should be sold and when the shares including undervalued categories should be purchased or suspended when has. Keywords : Stock Valuation, Dividend Discount Models (DDM), Investment Decision.


2018 ◽  
Vol 26 (2) ◽  
pp. 158-169
Author(s):  
Umi Wahidah ◽  
Sri Ayem

This research aimed to examine the effect of the convergence of International Financial Reporting Standards (IFRS) on tax avoidance on companies listed in Indonesia Stock Exchange. Tax avoidance that used in this research was Cash Efective Tax Rate (CETR). This research is also use the control variable to get other different influence that different such as CSR, size, and earning management (EM. This research used populations sector of transport service companies that listed in Indonesia Stock Exchange. The data of this research taken from secondary data that was from the Indonesia Stock Exchange in the form of Indonesian Capital Market Directory (ICMD) and the annual report of the company 2011-2015. The method of collecting sample was purposive sampling technique, the population that to be sampling in this research was populations that has the criteria of a particular sample. Companies that has the criteria of the research sample as many as 78 companies. The method of analysis used in this research is multiple regression analysis. Based on regression testing shows that the convergence of International Financial Reporting Standards (IFRS) has a positiveand significant impact on tax evasion. This shows that IFRS convergence actually improves tax evasion practices. The control variables of firm size and earnings management also significantly influence the application of IFRS in improving tax avoidance practices, while CSR control variables have no role in convergence IFRS in improving tax evasion practice.


2018 ◽  
Vol 26 (1) ◽  
pp. 95-111
Author(s):  
Sulastiningsih Sulastiningsih ◽  
Rizka Imanita Sholihati

This study aims to determine whether the financial performance measured by using CAR, ROA, LDR, BOPO, and CSR can affect the value of banking companies as measured by using PBV. This study uses secondary data taken from the annual report of banking companies during the year 2012-2016 listed on the Indonesia Stock Exchange. The number of samples of this study as many as 25 banking companies with a total of 125 data. This research method is quantitative research. The results of this study indicate the effect of CAR, ROA, LDR, BOPO, and CSR variables on firm value measured by using PBV in a banking company listed on the Indonesia Stock Exchange. Keywords: CAR, ROA, LDR, BOPO, CSR, PBV


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