@article{MTMT:34796966, title = {Optimising Portfolio Risk by Involving Crypto Assets in a Volatile Macroeconomic Environment}, url = {https://m2.mtmt.hu/api/publication/34796966}, author = {Bányai, Attila and Tatay, Tibor and Thalmeiner, Gergő and Pataki, László}, doi = {10.3390/risks12040068}, journal-iso = {RISKS}, journal = {RISKS}, volume = {12}, unique-id = {34796966}, issn = {2227-9091}, abstract = {Portfolio diversification is an accepted principle of risk management. When constructing an efficient portfolio, there are a number of asset classes to choose from. Financial innovation is expanding the range of instruments. In addition to traditional commodities and securities, other instruments have been added. These include cryptocurrencies. In our study, we seek to answer the question of what proportion of cryptocurrencies should be included alongside traditional instruments to optimise portfolio risk. We use VaR risk measures to optimise the process. Diversification opportunities are evaluated under normal return distributions, thick-tailed distributions, and asymmetric distributions. To answer our research questions, we have created a quantitative model in which we analysed the VaR of different portfolios, including crypto-diversified assets, using Monte Carlo simulations. The study database includes exchange rate data for two consecutive years. When selecting the periods under examination, it was important to compare favourable and less favourable periods from a macroeconomic point of view so that the study results can be interpreted as a stress test in addition to observing the diversification effect. The first period under examination is from 1 September 2020 to 31 August 2021, and the second from 1 September 2021 to 31 August 2022. Our research results ultimately confirm that including cryptoassets can reduce the risk of an investment portfolio. The two time periods examined in the simulation produced very different results. An analysis of the second period suggests that Bitcoin’s diversification ability has become significant in the unfolding market situation due to the Russian-Ukrainian war.}, year = {2024}, orcid-numbers = {Pataki, László/0000-0003-3093-6988} } @article{MTMT:34518798, title = {Matematikai modell fejlesztés a vállalati folyamatok teljesítményértékelésének szubjektivitására: egy tejtermelő tehenészet vállalkozás esettanulmánya}, url = {https://m2.mtmt.hu/api/publication/34518798}, author = {Thalmeiner, Gergő and Gáspár, Bettina and Bányai, Attila and Tóth, Márk and Semjén, Botond Benedek}, journal-iso = {CONTROLLER INFO}, journal = {CONTROLLER INFO}, volume = {11}, unique-id = {34518798}, issn = {2063-9309}, year = {2023}, pages = {12-17} } @article{MTMT:34095172, title = {Financial Analysis and Survival Research of the Visegrad Countries’ Health Industries}, url = {https://m2.mtmt.hu/api/publication/34095172}, author = {Durgula, Judit and Dunay, Anna and Thalmeiner, Gergő and Vajai, Balázs and Pataki, László}, doi = {10.3390/su151612360}, journal-iso = {SUSTAINABILITY-BASEL}, journal = {SUSTAINABILITY}, volume = {15}, unique-id = {34095172}, abstract = {Our study examined the financial situation of small and medium-sized enterprises (SMEs) in the health industry of the Visegrad Four (V4: Czech Republic, Poland, Slovakia, Hungary) in the period 2008–2021. The basis of the analysis was the reports available in the Crefoport database. During the analysis, we took into account four key financial indicators (liquidity, profitability (ROA), efficiency, capital structure) and used the Kaplan–Meier survival estimator to examine the viability of enterprises. In our study, we draw attention to the national economic importance of healthcare SMEs in the CEE region, and within that, in the V4 countries during the period of Industry 4.0 and the COVID-19 pandemic. Our research goal is to examine the life expectancy of healthcare enterprises operating in Hungary at the time of their establishment, in relation to the SMEs of the other three countries. The health industry SMEs of the V4 countries showed positive growth (+18%) in the period under review compared to the average of the 3 years before the COVID-19 pandemic, in the average of the first 3 years of the COVID-19 pandemic. The study paid particular attention to the life expectancy of businesses at the time of establishment. According to our results, the life expectancy of healthcare enterprises operating in Hungary at the time of establishment is high, but it does not differ significantly from that of the other examined countries. Our study highlights that the health industry SMEs of the examined countries do not need financial support; they are standing on a stable footing, which provides them with an excellent opportunity to either expand abroad or introduce innovations.}, year = {2023}, eissn = {2071-1050}, orcid-numbers = {Dunay, Anna/0000-0003-0254-9243} } @article{MTMT:33910403, title = {Developing a Controlling Model for Analyzing the Subjectivity of Enterprise Sustainability and Expert Group Judgments Using Fuzzy Triangular Membership Functions}, url = {https://m2.mtmt.hu/api/publication/33910403}, author = {Gáspár, Sándor and Musinszki, Zoltán and Hágen, István Zsombor and Barta, Ákos and Bárczi, Judit and Thalmeiner, Gergő}, doi = {10.3390/su15107981}, journal-iso = {SUSTAINABILITY-BASEL}, journal = {SUSTAINABILITY}, volume = {15}, unique-id = {33910403}, year = {2023}, eissn = {2071-1050} } @article{MTMT:33780937, title = {A controlling fejlődés új iránya, az adatvezérelt controlling (II rész)}, url = {https://m2.mtmt.hu/api/publication/33780937}, author = {Zéman, Zoltán and Vajda, Gábor and Thalmeiner, Gergő}, journal-iso = {CONTROLLER INFO}, journal = {CONTROLLER INFO}, volume = {1}, unique-id = {33780937}, issn = {2063-9309}, year = {2023}, pages = {2-7} } @article{MTMT:33623872, title = {Consumer Segmentation of Green financial Products Based on Sociodemographic Characteristics}, url = {https://m2.mtmt.hu/api/publication/33623872}, author = {Gáspár, Sándor and Pataki, László and Barta, Ákos and Thalmeiner, Gergő and Zéman, Zoltán}, doi = {10.3390/jrfm16020098}, journal-iso = {J RISK FINANC MANAG}, journal = {JOURNAL OF RISK AND FINANCIAL MANAGEMENT}, volume = {16}, unique-id = {33623872}, issn = {1911-8066}, year = {2023}, eissn = {1911-8074} } @{MTMT:33909803, title = {MODELING OF THE REPORTING ACTIVITIES OF A CRANE MANUFACTURING ORGANIZATION}, url = {https://m2.mtmt.hu/api/publication/33909803}, author = {Thalmeiner, Gergő and Gáspár, Sándor and Zéman, Zoltán}, booktitle = {ВПЛИВ ОБЛІКУ ТА ФІНАНСІВ НА РОЗВИТОК ЕКОНОМІЧНИХ ПРОЦЕСІВ = A SZÁMVITEL ÉS PÉNZÜGY TUDOMÁNYOK HATÁSA A GAZDASÁGI FOLYAMATOK FEJLŐDÉSÉRE = THE IMPACT OF ACCOUNTING AND FINANCE ON THE DEVELOPMENT OF ECONOMIC PROCESSES}, unique-id = {33909803}, year = {2022}, pages = {249-249} } @{MTMT:33568030, title = {Prediktív KPI-ok értékelése egy ipari darugyártó szervezet controlling rendszerében}, url = {https://m2.mtmt.hu/api/publication/33568030}, author = {Thalmeiner, Gergő and Gáspár, Sándor}, booktitle = {Doktoranduszok Országos Szövetsége Közgazdaságtudományi osztályának VIII. Téli Konferenciája}, unique-id = {33568030}, year = {2022}, pages = {35-35} } @{MTMT:33568016, title = {Részvényár előrejelzés neuro-fuzzy modell alkalmazásával, pénzügyi-számviteli mutatószámok felhasználásával}, url = {https://m2.mtmt.hu/api/publication/33568016}, author = {Gáspár, Sándor and Thalmeiner, Gergő and Csesznik, Zoltán and Zéman, Zoltán}, booktitle = {ВПЛИВ ОБЛІКУ ТА ФІНАНСІВ НА РОЗВИТОК ЕКОНОМІЧНИХ ПРОЦЕСІВ = A SZÁMVITEL ÉS PÉNZÜGY TUDOMÁNYOK HATÁSA A GAZDASÁGI FOLYAMATOK FEJLŐDÉSÉRE = THE IMPACT OF ACCOUNTING AND FINANCE ON THE DEVELOPMENT OF ECONOMIC PROCESSES}, unique-id = {33568016}, year = {2022}, pages = {83-84} } @article{MTMT:33567950, title = {MODELING OF THE REPORTING ACTIVITIES OF A CRANE MANUFACTURING ORGANIZATION}, url = {https://m2.mtmt.hu/api/publication/33567950}, author = {Thalmeiner, Gergő and Gáspár, Sándor and Zéman, Zoltán}, doi = {10.58423/2786-6742/2022-1-274-282}, journal-iso = {ACTA ACAD BEREGSAS ECON}, journal = {ACTA ACADEMIAE BEREGSASIENSIS-ECONOMICS}, volume = {1}, unique-id = {33567950}, issn = {2786-6734}, year = {2022}, eissn = {2786-6742}, pages = {274-282} }