Search results for query: Białek-Jaworska

1. R&D expenditure and the role of scientists
   

   Author: Anna Białek-Jaworska, Justyna Dobroszek

   See Issue Contents: fins.2019.2

   Abstract:

   An effective knowledge-based economy requires regular cooperation between science and business. This is possible thanks to enterprises that create and implement innovations The paper focuses on the recognition of R&D expenditure. This aims to verify if firms with a scientist on their board are more likely to invest in the R&D. We conduct a tobit panel analysis of over 18,000 Polish private firms combined with data on patents and scientists employed at universities. The findings show that firms with scientists on the supervisory board are likely to invest more in R&D. However, these investment in R&D of firms with a scientist on the board are financial constraint. Their growth depends on access to finance. Therefore, institutions in Poland should support and promote cooperation between science and business, aiming for the realization of the implementation research. This approach requires updated regulations in the accounting area relating to the recognition of R&D inputs and outcomes.

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2. Protection of personal data in the system of modern accounting in the context of the implementation of the Regulation of the European Parliament and of the EU Council 2016/679 of 27 April 2016
   

   Author: Katarzyna Świetla

   See Issue Contents: fins.2019.3

   Abstract:

   This article is an attempt to analyze the existing solutions in the field of the protection of personal data. Training and advisory materials on this subject prepared by numerous law firms (32) were analyzed, providing a valid explanation, understanding and implementation of the new obligations in the field of data protection. In addition the author conducted pilot interviews in accounting offices (17) concerning the protection of personal data to indicate the approach of service providers to the performance of the tasks in the field of personal data protection. The key findings of the study are: noticeable increase in the interest of the contracting parties in data protection issues, as well as presenting their positive aspects along with possible problems in their practical application. An important contribution of the author is also the presentation of the key points of agreements which the parties should pay attention to in order to avoid misunderstandings

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3. Effectiveness of Monte-Carlo simulation of the S&P 500 index before and after the outbreak of the SARS-CoV-2 pandemic
   

   Author: Piotr Nawrocki

   See Issue Contents: fins.2023.1

   Abstract:

   Risk and uncertainty analysis is an integral part of the study on the behavior of global financial markets. Emergencies, crises or political events pose a major challenge to analysts, trying to predict the future movements of stock indexes, calling into question their assumptions. One such event was the announcement of the coronavirus pandemic, which undoubtedly affected the functioning of today's economy around the world. The purpose of this study is to examine the strength of the impact of the coronavirus pandemic on the behavior of the U.S. market and to assess the effectiveness of the Monte-Carlo method before and after COVID-19 outbreak. The analysis was conducted with 12 Monte-Carlo simulations of daily closing prices of the S&P 500 index using historical data in the time interval from March 11, 2015, to March 11, 2021 by projecting logarithmic rates of return one year ahead over the period 2019-2022. The results showed a significant and negative impact of the pandemic announcement on the effectiveness of forecasting using Monte-Carlo simulation, reducing the confidence of the estimates. In addition, differences in the sensitivity of the simulation were shown depending on the data period adopted. The results obtained can, on the one hand, provide a basis for considering modifications to Monte-Carlo simulations in order to more effectively reflect market reality during periods of economic instability, as well as, on the other hand, provide important information for market analysts to use shorter time series to guarantee efficiency in MC simulations used during periods of crisis.

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