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 <titleInfo>
  <title>THE ANALYSIS OF PRICE AND TRADING VOLUME OF STOCKS IN THE INFRASTRUCTURE SECTOR LISTED ON IDX BEFORE AND AFTER THE PRESIDENTIAL ELECTION 2019</title>
 </titleInfo>
 <name type="Personal Name" authority="">
  <namePart>SURI RAHMA FAHIRA</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
  </role>
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 <genre authority="marcgt">bibliography</genre>
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  <place>
   <placeTerm type="text">Banda Aceh</placeTerm>
   <publisher>FAKULTAS EKONOMI BISNIS UNIVERSITAS SYIAH KUALA</publisher>
   <dateIssued>2019</dateIssued>
  </place>
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 <language>
  <languageTerm type="code">id</languageTerm>
  <languageTerm type="text">Indonesia</languageTerm>
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 <note>ABSTRACT&#13;
The purpose of this research is to analyze the market reaction to the&#13;
presidential election year 2019 indicated by the average price and trading volume&#13;
of stocks in the infrastructure sector listed on the Indonesia Stock Exchange&#13;
before and after the Presidential Election from 21&#13;
st&#13;
September 2018 until 24&#13;
May&#13;
2019. This research used event study method, that is the average of stock price&#13;
and trading volume observed 208 days before, event date, and 36 days after the&#13;
Presidential Election year 2019.&#13;
This research used secondary data obtained from the Indonesia Stock&#13;
Exchange and Yahoo Finance. The data used in this research included the daily&#13;
closing price and daily stock trading volume. The populations of this research are&#13;
all companies under Infrastructure sector.&#13;
The results of this research are based on the statistical test of the average&#13;
stock price and trading volume during the event period. It was found that there&#13;
was no reaction in stock price, both between sectors and within infrastructure&#13;
sector. While in the volume of trading, there was reaction between sectors, but&#13;
there was no reaction within infastructure sector. So, there are market reaction in&#13;
Indonesia capital market during the event, but the reaction may not be affected by&#13;
political event. In other words, Indonesian capital market &#13;
Keywords: stock prices, trading volume, event study, Indonesia Presidential&#13;
Election year 2019.&#13;
th&#13;
&#13;
ABSTRAK&#13;
Penelitian ini bertujuan untuk menganalisis reaksi pasar terhadap pemilihan presiden&#13;
tahun 2019 yang ditunjukkan oleh harga rata-rata dan volume perdagangan saham di&#13;
sektor infrastruktur yang terdaftar di Bursa Efek Indonesia sebelum dan sesudah&#13;
Pemilihan Presiden dari 21 September 2018 hingga 24 Mei 2019. Penelitian ini&#13;
menggunakan metode studi peristiwa, yaitu rata-rata harga saham dan volume&#13;
perdagangan yang diamati 208 hari sebelumnya, tanggal peristiwa, dan 36 hari setelah&#13;
Pemilihan Presiden tahun 2019. Penelitian ini menggunakan data sekunder yang&#13;
diperoleh dari Bursa Efek Indonesia dan Yahoo Finance. Data yang digunakan dalam&#13;
penelitian ini yaitu harga penutupan harian dan volume perdagangan saham harian.&#13;
Populasi penelitian ini adalah semua perusahaan di bawah sektor Infrastruktur. Hasil&#13;
penelitian ini didasarkan pada uji statistik rata-rata harga saham dan volume perdagangan&#13;
selama periode peristiwa. Hasil menemukan bahwa tidak ada reaksi dalam harga saham,&#13;
baik antar sektor dan dalam sektor infrastruktur. Sementara dalam volume perdagangan,&#13;
ada reaksi antar sektor, tetapi tidak ada reaksi di dalam sektor infrastruktur. Jadi, ada&#13;
reaksi pasar di pasar modal Indonesia selama peristiwa, sehingga reaksi mungkin tidak&#13;
terpengaruh oleh peristiwa politik. Dengan kata lain, pasar modal Indonesia &#13;
Kata kunci: harga saham, volume perdagangan, studi peristiwa, Pemilihan Presiden&#13;
Indonesia tahun 2019.</note>
 <subject authority="">
  <topic>STOCKS - ACCOUNTING</topic>
 </subject>
 <subject authority="">
  <topic>INVESTMENTS - FINANCIAL MANAGEMENT</topic>
 </subject>
 <classification>657.76</classification>
 <identifier type="isbn"></identifier>
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  <physicalLocation>ELECTRONIC THESES AND DISSERTATION Universitas Syiah Kuala</physicalLocation>
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 <recordCreationDate encoding="w3cdtf">2019-09-26 13:49:35</recordCreationDate>
 <recordChangeDate encoding="w3cdtf">2020-12-21 09:20:57</recordChangeDate>
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