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The relationship between delay in announcing quaterly forecasts of annual earnings and the type of earnings news
Mahdi Moradi, Mahdi Salehi, Seyyed Saeed Mehrdad Ayask, 2013, izvirni znanstveni članek

Opis: The current study aims to examine the relationship between delay in the announcement of quarterly forecasts of annual earnings and the type of earnings news in a unique context. Running a multiple linear regression on data collected from Rahavard Novin software and the companies’ financial statements, is the method of this study to investigate this relationship. Consistent with the pattern of good news early, bad news late, it was found that there is a positive relationship between the bad news type and the amount of delay in announcing quarterly forecast of annual earnings; so that the firms with negative adjustments in earnings forecast (bad news), on average, have 12 more days delay in the announcement. Considering other variables showed that as coverage percentage - a sign of success - increases, the amount of delay in announcing earnings forecast decreases, but companies with losses per share, on average, have an additional delay of about 6 days. The results obtained indicate that at least, in some industries there is certain time for reporting. Finally, it became clear that in the period after the adoption of the new disclosure instruction, despite the increased deadline, the amount of delay in earnings announcement has declined by about 2 days. In this study, for the first time in Iran, one of the company’s financial news (quarterly forecasts of annual earnings), have been classified into good and bad, based on comparison with the market expectation, and the relationship between the news type and the amount of delay in announcing the news, has been examined.
Ključne besede: reporting delay, good news, bad news, annual earnings per share quarterly forecast
Objavljeno: 22.01.2018; Ogledov: 537; Prenosov: 115
.pdf Celotno besedilo (213,46 KB)
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Renewable energy sources in Slovenia: Determining possible development trends until 2020 by using linear forecast and simulation with geometric Brownian motion process
Dejan Tasić, 2017, diplomsko delo

Opis: Renewable energy sources in the European Union and the Republic of Slovenia present an increasing share of energy each year. This thesis contains the data from Eurostat, where the statistics of renewable sources in the European Union and the Republic of Slovenia are analyzed from 2004 to 2014. On the basis of this data, the linear forecast and simulation by using process of geometric Brownian motion are conducted for the Republic of Slovenia for the time period 2015-2020. The goal is to determine if the Republic of Slovenia will achieve target objectives of European directive for renewable energy sources until 2020.
Ključne besede: Slovenia, renewable energy sources, statistics, forecast, simulation, GBM
Objavljeno: 22.09.2017; Ogledov: 733; Prenosov: 90
.pdf Celotno besedilo (3,64 MB)
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Matej Domadovnik, 2014, diplomsko delo

Opis: BRIICS's power is growing in the global economy and they have become very important players in a political sense. Brazil, Russia, India, Indonesia, China, and South Africa represent fast growing markets, which are potential markets for foreign investors. Risks, like political risks, financial risks or corruption are always present, and they cause a lot of uncertainty in investors’ eyes, since they can lose their input. The risks are much higher in developing countries because their political and financial systems are not well developed or implemented. In my diploma seminar I analysed in great detail the business environments and risks of Russia, China and India. Analysis was backed up with many economic indicators which I found relative. At the end of analysis, I pointed out a country which would be a good potential market for RELIDEA ltd., a company that does digital marketing. My diploma seminar also included possible scenarios of the BRIICS and their new challenges
Ključne besede: BRIICS, risks, business environment, potential markets, forecast
Objavljeno: 23.10.2014; Ogledov: 1091; Prenosov: 79
.pdf Celotno besedilo (847,12 KB)

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