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Abstrak :
Kebijakan PT. Bursa Efek Indonesia (PT. BEI)/Indonesian Stock Exchange (IDX) tentang penutupan kode broker dan tipe investor pada sesi perdagangan diharapkan mengurangi market herding behaviour terhadap saham-saham tertentu yang tercatat dan diperdagangkan di PT. BEI. Penutupan kode broker dan tipe investor dilakukan selama sesi perdagangan dan dapat dilihat kembali setelah sesi perdagangan ditutup. Market herding behaviour muncul saat investor meniru aksi investor lain dalam strategi perdagangan saham. Hwang dan Salmon (2004) menemukan bahwa market herding behaviour cenderung ditemukan dalam perdagangan saham-saham perusahaan kapitalisasi kecil-menengah. Pada akhir tahun 2021, PT. BEI mulai menerapkan penutupan kode broker dan tipe investor di pasar sekunder untuk meminimalisir market herding behaviour. Penelitian ini bertujuan untuk menganalisis herding behaviour pada jangka waktu sebelum dan sesudah diberlakukannya penutupan kode broker dan tipe investor di pasar sekunder dengan mengukur data statistik dari return saham-saham tertentu untuk mendeteksi ada/tidaknya efek herding menggunakan metode cross-sectional absolute deviation (CSAD), metode non-linear dan cross-sectional standard deviation (CSSD). Penelitian ini diharapkan dapat menjawab apakah tujuan awal PT. BEI untuk meminimalisir herding behaviour tercapai dengan adanya penerapan kebijakan tersebut. ......The policy implemented by PT. Bursa Efek Indonesia (PT. BEI)/Indonesian Stock Exchange (IDX) regarding the temporary undisclosing of broker code and investor type during trading sessions is expected to minimize market herding behaviour upon particular listed and traded stocks in PT. BEI. The temporary undisclosing of broker code and investor type is done during trading session and can be seen after trading session is closed. Market herding behaviour occurs when investors imitate the stock trading strategy action of other investor. Hwang and Salmon (2004) found that market herding behaviour is usually found in small-medium capitalization company stocks trading. In late 2021, PT. BEI started implementing the policy. This research aims to analyze herding behaviour in the period before and after the policy was implemented by measuring statistical data of certain stock returns to detect the existence of herding using the cross-sectional absolute deviation (CSAD) method, non-linear method and cross-sectional standard deviation (CSSD) method. This research is expected to answer whether the original purpose of the implementation of the policy by PT. BEI to minimize herding behaviour serves it.

Abstrak :
ABSTRAK
Edukasi pasar modal menjadi prioritas regulator dalam melakukan pengembangan pasar modal di Indonesia. Penelitian dalam skripsi ini dilakukan dengan mempelajari perilaku mengikut herding yang dilakukan oleh 18 tipe investor detail melalui pengamatan terhadap pola aliran investasi bersih dalam transaksi perdagangan ekuitas saham di Bursa Efek Indonesia dengan pembentukan model Vector Autoregression VAR . Berdasarkan pengamatan data bulanan pada periode Januari 2010 s.d. Oktober 2016, diperoleh kesimpulan bahwa perilaku herding terdapat pada jenis investor asing dan investor domestik. Adapun fokus edukasi pasar modal sebaiknya dilakukan pada jenis investor domestik dana pensiun LPF , karena memiliki hubungan kausalitas dengan tingkat pengembalian IHSG, investor domestik individual LID dan investor domestik investment banking LIB karena menunjukkan pola herding terhadap investor asing.

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ABSTRACT
Capital market education has become the focus of Indonesian Capital Market Regulator in recent years. This study take focus on the analysis of herding behavior between 18 investor types in Indonesian Stock Exchange. During the observation through monthly data of Nett Investment Flow during January 2010 up until October 2016, this study concludes several outputs. Herding behavior exist between foreign investor and domestic investor type. Domestic capital market educations could give attention to domestic Pension Fund LPF due to its causality relationship to IHSG return. The focus could also be on domestic individual investor LID and domestic investment banking LIB investors since the forementioned types shows herding behavior towards foreign investors rsquo type.