scholarly journals Leader Effect and Return Stock Market

2019 ◽  
Vol 3 (3) ◽  
pp. 207
Author(s):  
Kharisya Ayu Effendi
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Composite Index ◽  
Secondary Data ◽  
Test Sample ◽  
T Test ◽  
Paired Sample ◽  
Daily Data ◽  
Analysis Technique ◽  
Before And After

The purpose of this study is to examine whether the election of Jokowi as the country's leader (president) can affect the stock price return of the Jakarta Composite Index (JCI). The data used in this research is secondary data. Data comes from historical JCI. The data taken is daily data for 12 months before and after Jokowi was appointed president. The data analysis technique used is one t-test sample used to test the first hypothesis and the paired samplest t test was used to test the second hypothesis in this study. The results in testing the paired sample there is no difference in the return of stock prices in the era before and after Jokowi became president.

scholarly journals The Announcement of Sharia Bank’s Conditional Merger Agreement. How Investor Reacted?

2021 ◽  
Vol 2 (2) ◽  
pp. 136-146
Author(s):  
Syamsuddin Syamsuddin ◽  
Versiandika Yudha Pratama
Keyword(s):  
Event Study ◽  
Stock Price ◽  
Abnormal Return ◽  
Secondary Data ◽  
T Test ◽  
Event Window ◽  
Paired Sample ◽  
Average Abnormal Return ◽  
Significant Difference ◽  
Before And After

This study aims to determine there is a difference in average abnormal return of BRI Syariah before and after the signing of the Conditional Merger Agreement (CMA), which is on October 12th, 2020. This research used event study for method and the data in this study are secondary data in the form of stock price data of BRI Syariah. The event window in this study for 11 (eleven) working days which is 5 (five) days before the event, 1 (one) day when the event occurs and 5 (five) days after the signing of the Conditional Merger Agreement (CMA) BUMN sharia bank. Meanwhile, the estimated period is set for 120 exchange days, namely at t-125 to t-6. Test conducted by paired sample t-test. The results of the paired sample t-test showed that there is no significant difference between the average abnormal return of BRI Syariah shares before and after the signing of the Conditional Merger Agreement. It can be concluded that neither the market nor investors reacted to the signing of the Conditional Merger Agreement (CMA) that occurred at BRI Syariah Bank.

scholarly journals Analysis Of Comparison The Stock Price At PT. Bank Tabungan Negara (Persero) Tbk, Before And After Applying The E-Blink

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Nana Andani Darmawan Andani Darmawan
Keyword(s):  
Hypothesis Testing ◽  
Analytical Method ◽  
Stock Prices ◽  
Stock Price ◽  
T Test ◽  
Significance Level ◽  
Paired Sample ◽  
Before And After ◽  
Price Differences

Abstract             This study aims to find out and analyze stock prices before and after the existence of E-Blink products at PT. Bank Tabungan Negara (Persero) Tbk. The sample used in this study is the closing stock price 30 days before and 30 days after the E-Blink product. The analytical method used Paired Sample t Test with the help of SPSS version 21.0. Hypothesis testing used statistics to analyze changes in stock prices of PT. Bank Tabungan Negara (Persero) Tbk with a significance level of 5%. The results showed that there were significant stock price differences before and after the E-Blink at PT. Bank Tabungan Negara (Persero) Tbk. This indicates the existence of information that is considered positive for investors with the existence of E-Blink products that will increase profits owned by the company and dividends for shareholders or investors. Keywords : Stock Price, E-Blink

scholarly journals The Difference of Enterprises Taxpayers Compliance after Tax Amnesty

JEJAK ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 86-99
Author(s):  
Dona Fitria ◽  
Agus Abdillah ◽  
Hendro Prasetyono ◽  
Ismail Dwi Cahyo ◽  
Burhanudin Burhanudin
Keyword(s):  
Data Collection ◽  
Statistical Tests ◽  
Secondary Data ◽  
T Test ◽  
Paired Sample ◽  
Tax Amnesty ◽  
Analysis Technique ◽  
Before And After ◽  
Tax Returns ◽  
The Difference

The purpose of this study was to determine and analyze the compliance of enterprises taxpayers before and after the tax amnesty was applied in KPP Pratama South Jakarta. The research location was at KPP Pratama Jakarta Cilandak, KPP Pratama Jakarta Pancoran, KPP Pratama Jakarta Mampang, and KPP Pratama Jakarta Pasar Minggu. Data collection with documentation techniques, namely secondary data collection. Taxpayer’s compliance data for 2015, which is SPT as of March 2016, is assumed to be data before tax amnesty. While the 2016 taxpayer’s compliance data which is SPT as of March 2017 is assumed to be the data of the tax amnesty validity period. The data analysis technique in this study uses the SPT taxpayer compliance ratio 2016 - 2017. Statistical tests using Paried Sample t-Test. The results of the study showed that the amount of enterprises taxpayer compliance submitting timely Annual Tax Returns increased by 10.60% from 13.40% to 24.00%. Furthermore, the taxpayer’s compliance ratio that did not submit the Annual Tax Return decreased by 3.90%, namely in 2016 amounted to 76.92% to 73.02% in 2017. The Paired Sample t-Test has different Enterprises Taxpayer’s compliance before and after the enactment of tax amnesty.

scholarly journals REAKSI PASAR MODAL TERHADAP KEMENANGAN IR. H. JOKO WIDODO PADA PEMILIHAN PRESIDEN DI INDONESIA TAHUN 2019

2020 ◽  
Vol 1 (2) ◽  
pp. 229-244
Author(s):  
Resalia Indrianti ◽  
Suyanto Suyanto ◽  
Sri Retnaning Rahayu
Keyword(s):  
Stock Prices ◽  
Trading Volume ◽  
Abnormal Returns ◽  
Secondary Data ◽  
T Test ◽  
Daily Data ◽  
Significant Difference ◽  
Before And After ◽  
Data Collection Technique ◽  
The One

This research is an event study research that aims to find out how big the reaction of the Indonesian capital marketis to the victory of the Joko Widodo pair in the 2019 Presidential Election with the indicators used in the form ofabnormal returns and trading volume activity on the LQ45 index stock group. This study uses secondary data in theform of daily data. stock prices, daily data on LQ45 index, daily data on trading volume, and daily data on thevolume of shares outstanding during the period of seven days before, one day during, and seven days after the event.The day of the event was May 22, 2019. Sampling used a purposive sampling method. The type of data used isquantitative data. The data collection technique in this research is by means of documentation. Testing thehypothesis using the One-Sample t Test and Paired Sample t-Test. The results showed that there were significantdifferences in the reaction between the average before and after the event. However, there is no significantdifference between the average abnormal returns before the event. Similar to the average abnormal return after theevent, there is a significant difference in the average trading volume before and after the event. There is asignificant difference in the average trading volume before and during the event. There is a significant difference inthe average trading volume after and during the event.

Perbandingan harga saham, volume transaksi dan return saham sebelum dan sesudah terjadi pandemi covid-19 pada PT Agung Podomoro Land, Tbk

2021 ◽  
Vol 5 (4) ◽  
pp. 720
Author(s):  
Anggun Putri Romadhina ◽  
Eka Kusuma Dewi
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Research Data ◽  
Paired Sample ◽  
First Case ◽  
Significant Difference ◽  
Before And After ◽  
Stock Transaction

The first Covid-19 case in Indonesia was announced on March 2, 2020. This study aims to determine whether there is a significant difference in stock prices, stock transaction volume and stock returns due to the COVID-19 pandemic (case study at PT. Agung Podomoro Land, Tbk). This research data was taken 90 days before and 90 days after the announcement of the first case of COVID-19 in Indonesia. The data was processed by paired sample t-test, using SPSS version 20. From the results of data processing, it was shown that there was a significant difference in stock prices before and after the announcement of the first case of covid-19 in Indonesia. This is indicated by a significance value of 0.000 < 0.05 where the stock price has decreased compared to before the Covid-19 case. Meanwhile, the volume of stock transactions also showed a significant difference with a significance value of 0.007 <0.05, where the volume of stock transactions after the announcement showed a decrease. Likewise, stock returns show a significant difference with a significance value of 0.025 < 0.05 where stock returns have decreased after the announcement of the first case of covid-10 in Indonesia.  

scholarly journals ANALISIS PERGERAKAN SAHAM PERUSAHAAN SUB SEKTOR FARMASI MENGGUNAKAN INDIKATOR BOLLINGER BAND DI TENGAH PANDEMI COVID-19

2020 ◽  
Vol 3 (2) ◽  
pp. 77-88
Author(s):  
Intan Elita ◽  
K. Bagus Wardianto ◽  
M. Iqbal Harori
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Sampling Method ◽  
Sample Selection ◽  
T Test ◽  
Analysis Tool ◽  
Selection Technique ◽  
Purposive Sampling ◽  
Analysis Technique ◽  
Significant Difference

This study aims to measure the accuracy of technical analysis using the Bollinger Band indicator in predicting stock prices in the middle of pandemic covid-19. The concept in this study is to compare daily stock price predictions according to technical indicators with the closing prices that occured on that day. Sample selection technique used in this research used a purposive sampling method and obtained 9 pharmaceutical sub-sector companies listed on the IDX from February to April 2020. The type of data used is a chart of the company's daily stock price movements obtained from finance.yahoo.com. The data analysis technique used was the paired sample t-test and used the SPSS 26 analysis tool. The results of this study indicate that the Bollinger indicator does not have a significant difference. ABSTRAK Penelitian ini bertujuan untuk mengukur keakuratan analisis teknikal dengan indikator Bollinger Band dalam memprediksi harga saham pada masa pandemi Covid-19. Konsep pada penelitian ini adalah membandingkan prediksi harga saham harian menurut indikator teknikal dengan harga penutupan yang terjadi pada hari tersebut. Teknik pengambilan sampel dalam penelitian ini menggunakan metode purposive sampling dan diperoleh sebanyak 9 perusahaan sub sektor farmasi yang terdaftar di BEI selama Februari hingga April 2020. Jenis data yang digunakan yaitu berupa grafik pergerakan harga saham harian perusahaan yang diperoleh dari finance.yahoo.com. Teknik analisis data yang digunakan adalah uji independent sample t-test dan menggunakan alat analisis program SPSS 26. Hasil penelitian ini menunjukkan bahwa indikator Bollinger tidak memiliki perbedaan yang signifikan.

scholarly journals ANALYZING ABNORMAL RETURN BEFORE AND AFTER THE ANNOUNCEMENT OF MERGER AND ACQUISITION IN 2018

2018 ◽  
Vol 1 (2) ◽  
pp. 14-22
Author(s):  
Sonny Haryanto ◽  
Umi Mardiyati ◽  
Agung Dharmawan Buchdadi
Keyword(s):  
Mergers And Acquisitions ◽  
Stock Price ◽  
Abnormal Return ◽  
Abnormal Returns ◽  
T Test ◽  
Testing Hypotheses ◽  
Paired Sample ◽  
Minute Period ◽  
Before And After ◽  
Observation Period

This study aims to analyze the abnormal returns before and after the announcement of mergers and acquisitions in the companies listed on the IDX 2018. In this study the observation period taken was three days before and after the announcement of mergers and acquisitions with the number of samples observed were 9 companies. The method for calculating abnormal returns used is the market adjusted return by using an intraday stock price of 15 minutes. Based on testing hypotheses conducted by paired sample t-test, it was found that there were no significant differences in abnormal returns before and after the announcement of mergers and acquisitions in each 15 minute period.

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.

Analisis Pengaruh Tingkat Harga Saham, Return Saham, dan Volume Perdagangan Saham terhadap Stock Split ISSI Periode 2015– 2020

2021 ◽  
Vol 4 (2) ◽  
pp. 234-245
Author(s):  
Farhan Maulana ◽  
Ahmad Mulyadi Kosim ◽  
Abrista Devi
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Return ◽  
Positive Impact ◽  
Secondary Data ◽  
Normality Test ◽  
Stock Split ◽  
Before And After ◽  
Sample Test

For companies that collect funds from the public through capital from capital market, it can be used to meet capital needs and finance the company’s operation. So that company is expected not to rely on commercial debt financing both from within the country and abroad. With stock split, it is hoped that it will increase investors’ interest in buying affordable shares. This study aims to determine whether the stock split has an effect on stock prices, trading volume, and stock return. The method used by the researcher uses quantitative secondary data methods by using descriptive statistical data test, then use the kolgomorov smirnov normality test, and using theaverage paired sample test. The results of this research is that: 1) stock price have a significant effect after the stock split occurs, 2) while the trading volume has no significant effect after the stock split occours, 3)  then stock return has a siginificant impact before and after the stock split because it is expected to have a positive impact for issuers and investors.

scholarly journals Pengaruh Inflasi Dan BI Rate Terhadap Harga Saham Perusahaan LQ45 Pada Bursa Efek Indonesia

2021 ◽  
Vol 12 (2) ◽  
pp. 253-262
Author(s):  
Risa Ratna Gumilang ◽  
Dikdik Nadiansyah
Keyword(s):  
Significant Relationship ◽  
Stock Prices ◽  
Stock Price ◽  
Quantitative Method ◽  
Secondary Data ◽  
T Test ◽  
F Test ◽  
Company Stock ◽  
A Value ◽  
Inflation Rates

This research is motivated by a mismatch between theories regarding stock price movements that are influenced by inflation rates and BI Rate with conditions that occur in the field. In theory, when stock prices increase, it will be influenced by falling inflation and the BI Rate, and vice versa. But this is different from the conditions that occur in the field. This research aims to examine and determine the effect of inflation and BI Rate on the LQ45 company stock prices. This study uses the quantitative method by using the secondary data. From the results of the study using the t test, inflation has a tcount 0.828 and a Sig. 0.417. This shows that partially, inflation does not have a significant effect on stock prices. While the BI Rate has a value of -2.511 and a Sig. 0.020. This shows that partially, the BI Rate has a significant effect on stock prices. In correlation, inflation has a Sign value. (2-tailed) 0.068. This shows that in correlation, inflation does not have a significant relationship to the BI Rate. Simultaneously (F test), inflation and the BI Rate have a Fcount value of 5.005 and a Sig. (2-tailed) of 0.017. This shows that simultaneously, inflation and the BI Rate have a significant effect on stock prices.

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