scholarly journals STOCK SPLIT: PENGUJIAN TERHADAP SIGNALING DAN TRADING RANGE PADA BURSA EFEK JAKARTA

2007 ◽  
Vol 4 (1) ◽  
pp. 115-136
Author(s):  
Abdul Hafiz Tanjung
Keyword(s):  
Stock Split

ANALISIS PENGARUH SEBELUM DAN SETELAH STOCK SPLIT TERHADAP LIKUIDITAS SAHAM DAN DAMPAKNYA TERHADAP RETURN SAHAM (Survei Pada Perusahaan Yang Terdaftar di Bursa Efek Indonesia Tahun 2005-2015)

2017 ◽  
Vol 9 (2) ◽  
pp. 9-20
Author(s):  
Surtikanti - ◽  
Erwin Indra Kusumah
Keyword(s):  
Event Study ◽  
Stock Split

Pasar modal dibangun dengan tujuan menggerakkan perekonomian suatu negara melalui kekuatanswasta dan mengurangi beban negara. Investasi merupakan penundaan konsumsi pada saat inidengan tujuan mendapatkan tingkat pengembalian (return) yang akan diterima di masa yang akandatang. Stock split dibuat untuk menambah likuiditas pergerakan saham dan memungkinkan investorritel masuk lebih banyak sehingga aktivitas volume perdagangan lebih meningkat. Fenomena yangterjadi dibeberapa perusahan yang terdaftar di Bursa Efek Indonesia dibawah ini melakukan stocksplit dengan tujuan agar sahamnya menjadi likuid atau aktivitas volume perdagangan (trading volumeactivity) sahamnya makin besar setelah melakukan stock split, ternyata hal ini di Bursa EfekIndonesia tidak terjadi. Metode yang digunakan dalam penelitian ini adalah metode explonatorysurvey yang berdasarkan pada studi peristiwa (event study). Dengan menggunakan dua alat analisisyaitu analisis komparatif dan analisis jalur. Hasil penelitian menunjukkan bahwa terdapat perbedaanyang tidak signifikan pada likuiditas saham dan return saham sebelum dan setelah stock split terjadi.Sedangkan stock split berpengaruh signifikan terhadap likuiditas saham. Likuditas sahamberpengaruh signifikan terhadap return saham. Jadi stock split melalui likuiditas saham berpengaruhsignifikan terhadap return saham.   

Stock-Split and Stock-Dividend Decisions

1973 ◽  
Vol 2 (4) ◽  
pp. 35 ◽  
Author(s):  
James A. Millar ◽  
Bruce D. Fielitz
Keyword(s):  
Stock Split ◽  
Stock Dividend

scholarly journals Harga Saham Sebelum dan Sesudah Stock Split

2020 ◽  
Vol 3 (2) ◽  
pp. 390-395
Author(s):  
Junita Putri Rajana Harahap ◽  
Murni Dahlena Nasution
Keyword(s):  
Event Study ◽  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Research Method ◽  
Price Difference ◽  
Significant Difference ◽  
Stock Split ◽  
Before And After ◽  
A Company

The stock split causes the stock price to be cheaper so that it will attract potential investors to buy the stock. This research was conducted to determine when it is time for a company to do a stock split, information available on the capital market can be used by investors for consideration before investors make a decision to invest in shares. The study aims to determine the changes that occur in stock prices before and after the stock split policy by the company. The research method used in this research is event study research with a quantitative approach. This study examines how significant the stock price difference is after a stock split policy. The sample used in this study were all companies that carried out the 2016-2018 stock split policy. The results of research on companies that become samples have shown that the average stock price before the announcement of the stock split policy has no significant difference with the average stock price after the announcement of the stock split policy Keywords : Stock Price, Stock Split

scholarly journals ANALISIS PERBEDAAN HARGA SAHAM, RETURN SAHAM, DAN ABNORMAL RETURN SEBELUM DAN SESUDAH STOCK SPLIT PADA PERUSAHAAN HIGH PROFILE DAN LOW PROFILE YANG TERDAFTAR DI BURSA EFEK INDONESIA

2021 ◽  
Vol 11 (1) ◽  
pp. 42
Author(s):  
Pita Rahmawati ◽  
Jawoto Nusantoro ◽  
Gustin Padwa Sari
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Abnormal Returns ◽  
T Test ◽  
Paired Sample ◽  
High Profile ◽  
Normality Test ◽  
Low Profile ◽  
Stock Split ◽  
Before And After

This research aims to determine whether there are differences in stock prices, stock returns and abnormal returns before and after a stock split in high profile and low profile companies. The research period used in this study was on 2016-2018. The research was analyzed in quantitative method by using a purposive sampling method. Based on the sampling criteria, 40 companies were selected as research samples. Kolmogorov Smirnov One Sample test was used for the normality test. After the normality test was carried out, the data was processed using the two paired-sample difference test. The t-test (paired sample t-test) was used if data were normally distributed but if it was not normally distributed the Wilcoxon Signed Rank test would be used. Hypothesis testing results showed that (1) there are differences in stock prices whether before and after a stock split in high profile companies (2) there are differences in stock prices whether before and after the stock split in low profile companies (3) there are differences in stock returns whether before and after a stock split in the company high profile (4) there is no difference in stock returns whether before and after the stock split in low profile companies (5) there is no difference in abnormal returns whether before and after the stock split in high profile companies (6) there is no difference in abnormal returns whether before and after the stock split in low profile companies (7) there are differences in stock prices after a stock split in high profile companies and low profile (8) there is no difference in stock returns whether before and after the stock split in high profile and low profile companies (9) there is no difference in abnormal stock returns whether before and after a stock split at high profile and low profile companies.

scholarly journals Kajian Conditional Beta di Bursa Efek Indonesia

2021 ◽  
Vol 4 (3) ◽  
pp. 316-325
Author(s):  
Yuvica Lara Rovantiane ◽  
Robiyanto Robiyanto
Keyword(s):  
Purposive Sampling ◽  
Stock Split ◽  
Conditional Beta

Penelitian ini mengkaji risiko sistematis pada dua periode pasar yang berbeda (bearish dan bullish) di Bursa Efek Indonesia (BEI), serta meneliti apakah terdapat perbedaan risiko sistematis pada kedua periode pasar tersebut. Data yang digunakan dalam penelitian ini adalah data harga saham penutupan harian saham terpilih dan penutupan harian Indeks Harga Saham Gabungan (IHSG) periode 2 Januari 2017 sampai dengan 30 Desember 2020, dengan data yang diperoleh dari Investing.com. Metode pengambilan sampel yang digunakan adalah metode purposive sampling dengan kriteria tidak pernah melakukan stock split, tidak pernah dihentikan sementara (suspensed), dan diperdagangkan secara aktif selama periode pengamatan, agar tidak terjadi bias. Sebanyak 20 saham ditemukan yang memenuhi kriteria tersebut. Hasil penelitian menunjukkan bahwa tidak ada perbedaan antara bull dan bear beta. Kemudian, tidak ada perbedaan antara periode keseluruhan dan bull atau bear beta. Temuan menyiratkan bahwa investor dan manajer portofolio dapat menggunakan semua periode beta sebagai proksi risiko sistematis mereka.

scholarly journals AKTIVITAS PERDAGANGAN SAHAM SEBELUM DAN SESUDAH PERUSAHAAN MELAKUKAN PEMECAHAN SAHAM DAN PENGGABUNGAN SAHAM DI BURSA EFEK INDONESIA TAHUN 2014-2016 (Studi Komparatif Pada Harga, Likuiditas, Volume dan Frekuensi Perdagangan Saham)

2018 ◽  
Vol 7 (1) ◽  
pp. 149-159
Author(s):  
Mohammad Jusuf Supriadi ◽  
Amirul Fathoni ◽  
Very Andrianingsih
Keyword(s):  
Test Method ◽  
Rank Test ◽  
Price Difference ◽  
Positive Signal ◽  
Stock Trading ◽  
Paired Sample ◽  
Signed Rank ◽  
Stock Split ◽  
Signed Rank Test ◽  
Observation Method

This research uses 11 day observation method 5 days before stock split / reversesplit, 1 day as observation method, and 5 days after stock split / reverse split event. Dataanalysis method used is paired sample different test. After testing the normality there are2 tests that is different test method wilcoxon signed rank test to test stock trading activityon companies doing stock split action and test method different paired sample t-test totest stock trading activity in company doing reverse split. showed no price difference,liquidity, volume and frequency of shares for companies doing reverse split action. Thisshows that stock split action does have a positive signal to attract investors, while StockLikuidity (stock split) and reverse split action are not.

Stock Splits: Tests of the Earnings Signaling and Attention Directing Hypotheses Using Analyst Forecasts and Revisions

1994 ◽  
Vol 9 (3) ◽  
pp. 411-422 ◽  
Author(s):  
David T. Doran
Keyword(s):  
Earnings Forecasts ◽  
Analyst Forecasts ◽  
Analyst Forecast ◽  
Specific Level ◽  
Future Earnings ◽  
Earnings Information ◽  
Stock Split ◽  
Forecast Revision ◽  
Earnings Performance ◽  
Signaling Hypothesis

The major findings of this study are: (1) earnings performance of splitting firms is favorable relative to preevent longterm analyst (Value Line) forecasts; (2) analysts significantly revise earnings forecasts upward in response to stock split announcements; and (3) in the case of stock split announcing firms, there is a high correlation between future earnings performance and analyst forecast revision. These findings indicate that stock split announcements convey “permanent” earnings information to the market, and security analysts scrutinize the earnings signal at the firm specific level. The results support both the earnings signaling hypothesis and the attention directing hypothesis concerning stock split events.

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