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"Pandemi Covid-19 telah menimbulkan reaksi panik irasional yang berdampak material yang memicu volatilitas di pasar saham akibat kekhawatiran atas risiko dan ketidakpastian di masa depan. Perilaku kawanan sering dikaitkan dengan kondisi pasar yang tidak stabil, di mana investor tidak melakukan analisis melainkan mengikuti euforia pasar dan merasa lebih aman mengikuti orang lain. Penelitian ini bertujuan untuk mendeteksi perilaku herding sebelum dan pada saat terjadi pandemi Covid-19 dan melihat perbedaannya, serta menganalisa perilaku herding jika dikaitkan dengan tingkat volatilitas idiosinkratik. Penelitian ini menggunakan metode cross sectional absolute deviation untuk mengukur perilaku herding dan single factor model untuk menghitung volatilitas idiosinkratik. Hasil empiris menunjukkan bahwa perilaku herding ditemukan sebelum pandemi Covid-19, namun tidak ditemukan pada periode saat terdapat pandemi Covid-19. Dalam lingkup sektoral, perilaku herding ditemukan pada subsektor industri telekomunikasi pada periode sebelum pandemi Covid-19 dan subsektor industri transportasi pada periode saat terjadi pandemi Covid-19. Selain itu, perilaku herding ditemukan pada portofolio dengan tingkat volatilitas idiosinkratik yang rendah dan tinggi pada periode sebelumpandemi Covid-19, namun tidak ditemukan pada seluruh portofolio dengan berbagai tingkat volatilitas idiosinkratik pada periode pandemi Covid-19.

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The Covid-19 pandemic has caused an irrational panic reaction with a material impact that triggers volatility in the stock market due to concerns over risks and uncertainties in the future. Herd behavior is often associated with unstable market conditions, where investors do not do analysis but follow the market euphoria and feel safer following others. This study aims to detect herding behavior before and during the Covid-19 pandemic, the difference, and analyze herding behavior whether it is associated with the level of idiosyncratic volatility. This study uses a cross-sectional absolute deviation method to measure herding behavior and a single factor model to calculate idiosyncratic volatility. Empirical results show that herding behavior was found before the Covid-19 pandemic, but not during the period when there was a Covid-19 pandemic. In the sectoral scope, herding behavior was found in the telecommunications industry sub-sector before the Covid-19 pandemic and the transportation industry sub-sector during the Covid-19 pandemic. In addition, herding behavior was found in portfolios with low and high levels of idiosyncratic volatility in the period before the Covid-19 pandemic, but not in all portfolios with various levels of idiosyncratic volatility during the COVID-19 pandemic."

"Dalam penelitian ini, penulis ingin menganalisis hubungan antara volatilitas idiosinkratik dengan volatilitas arus kas dinegara berkembang. Volatilitas idiosinkratik atau biasa disebut unsystematic risk adalah risiko spesifik perusahaan yang muncul karena adanya kejadian atau keadaan yang spesifik. Volatilitas arus kas menunjukkan bagaimana pergerakan arus kas perusahaan berjalan dalam waktu tertentu. Dalam penulisan ini, pengukuran volatilitas arus kas menggunakan komponen DuPont ROE yaitu, Asset Turnover, Profit Margin, dan Equity Multiplier. Dengan menggunakan variabel kontrol ukuran perusahaan dan ilikuiditas, penelitian dilakukan dibeberapa negara berkembang yang termasuk didalam kelompok Emerging 7, yaitu Indonesia, Turki, dan Rusia, dengan rentang waktu dari tahun 2013 hingga tahun 2017. Hasil dari penelitian ini menunjukkan masih terdapat hasil yang inkonklusif dimasing-masing negara. Pengaruh volatilitas arus kas terhadap volatilitas idiosinkratik tidak ditemukan di Indonesia, sedangkan di Turki hanya variabel volatilitas profit margin yang memiliki nilai signifikan dan hanya variabel volatilitas equity multiplier yang memiliki nilai signifikan di Rusia.

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In this study, the author want to analyze the relationship between idiosyncratic volatility and the volatility of cash flows in developing countries. Idiosyncratic volatility or commonly called unsystematic risk is a company-specific risk that arises because of a specific event or situation. Cash flow volatility shows how the company cash flow movements run at a certain time. In this paper, measurement of cash flow volatility uses DuPont ROE components, namely, Asset Turnover, Profit Margin, and Equity Multiplier. By using company size control variables and illiquidity, the research is carried out in several developing countries that are included in Emerging 7 groups, namely Indonesia, Turkey and Russia, with a period of time from 2013 to 2017. The result is there is still some inconclusive result regarding the impact of cash flow volatility on idiosyncratic volatility in emerging markets. In Indonesia there is no significant contribution of cash flow volatility, while in Turkey only profit margin volatility that has significant correlation with idiosyncratic volatility and only equity multiplier volatility in Russia that has a significant contribution."

"Penelitian ini bertujuan untuk mengidentifikasi hubungan antara gresivitas pajak dan volatilitas idiosinkratik. Analisis dilakukan terhadap perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia dengan periode observasi 2016-2019. Penelitian ini menggunakan metode purposive sampling, dengan data perusahaan terpilih sebanyak 64 sehingga diperoleh 256 observasi. Hasil penelitian menunjukkan bahwa agresivitas pajak dan volatilitas idiosinkratik memiliki hubungan positif.

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This study aims to identify the corellation of tax aggresiveness and idiosyncratic volatility. The sample used in this study were manufacturing companies listed on Indonesia Stock Exchange (IDX) over the 2016-2019 observation period. The study used the method of purposive sampling with 64 selected companies resulting in 244 firm-years. The result indicated that tax aggressiveness has a positive correlation with idiosyncratic volatility."

"Penelitian ini bertujuan menganalisis pengaruh kepemilikan institusional terhadap volatilitas return saham, yang terdiri dari total volatilitas dan volatilitas idiosinkratik. Penelitian dilakukan pada perusahaan yang terdaftar di Bursa Efek Indonesia pada periode 2018-2021. Data diperoleh melalui Datastream Thomson Reuters Refinitiv Eikon dan laporan keuangan perusahaan. Pengujian dilakukan terhadap 286 perusahaan selama 4 tahun dengan total 1.144 observasi yang diperoleh menggunakan metode purposive sampling. Penelitian ini juga menggunakan variabel kontrol yang meliputi return on assets, market-to-book ratio, market value, leverage, dan price, serta variabel dummy COVID. Hasil penelitian menemukan bahwa porsi kepemilikan institusional pada suatu perusahaan berpengaruh positif dan signifikan terhadap kedua ukuran tingkat volatilitas return saham. Peneliti juga menemukan adanya hubungan yang lebih kuat antara kepemilikan institusi dan volatilitas return selama periode pandemi.

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This study aims to analyze the effect of institutional ownership on stock return volatility, which includes both total volatility and idiosyncratic volatility. The research was conducted on companies listed on the Indonesia Stock Exchange during the period of 2018-2021. Data was obtained through Datastream Thomson Reuters Refinitiv Eikon and company financial reports. The study tested 286 companies over four years, resulting in a total of 1.144 observations obtained using the purposive sampling method. This research also used control variables, including return on assetss, market-to-book ratio, market value, leverage, and price, as well as a COVID dummy variable. The results of the study found that the proportion of institutional ownership in a company has a positive and significant effect on both measures of stock return volatility. Furthermore, the researcher found a stronger relationship between institutional ownership and stock return volatility during the pandemic period."