Stock Return Cross‐Autocorrelations and Market Conditions in Japan*

The choice of optimum cross section for overhead line by economic intervals' methodIn this paper an approach to choosing the optimum cross section for overhead line in conditions of incomplete and uncertain information is considered. The two methods of such choice are presented: method of economic current density and economic intervals' method. The correction of the economic intervals method is offered under market conditions of costs. As example 20 kV and 110 kV overhead lines with aluminum, copper and ferroaluminum wires are selected. Universal nomograms with different standard cross section are calculated and constructed. The graphics using Mathcad software are offered.

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Teacher and museum educator on the culture service market. Conditions of cooperation between schools and museums

Cultural Management Science and Education ◽

10.30819/cmse.3-1.05 ◽

2019 ◽

Vol 3 (1) ◽

pp. 67-82

Author(s):

Agata Cabała ◽

Andrzej Kasperek

Keyword(s):

Market Conditions ◽

Service Market ◽

Museum Educator

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Analisis Komparatif Return Saham Dan Volume Perdagangan Saham Sebelum dan Sesudah Harbolnas Pada Perusahaan Dagang Yang Terdaftar Di Bei

Akmenika: Jurnal Akuntansi dan Manajemen ◽

10.31316/akmenika.v17i2.1047 ◽

2020 ◽

Vol 17 (2) ◽

Author(s):

Devy Putri Milanda ◽

Taufan Adi Kurniawan

Keyword(s):

Linear Regression ◽

Abnormal Return ◽

Stock Return ◽

Industrial Revolution ◽

Online Shopping ◽

Stock Exchange ◽

Trade Volume ◽

Volume Activity ◽

Significance Level ◽

Before And After

The industrial revolution resulted in several industries changing their management in order to survive, one of the industries that was affected quite considerably was the trading industry. This study aims to analyze stock return and Trade Volume Activity (TVA) of trading companies in Indonesia Stock Exchange (IDX) before and after Harbolnas (Hari Belanja Online Nasional) or National Online Shopping Days. The samples are all trading companies that have listed on the IDX in the year 2019. This study use multiple linear regression with a significance level of 5%. The results show there are no significant differences in the abnormal return before and after Harbolnas, and there are no significant differences in the TVA before and after the harbolnas

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