Publication Records

KUČERA, Jiří and Tomáš ANDELÍK. A historical excursion through the development of cryptocurrencies in the world. Littera Scripta. České Budějovice, Česká republika: The Institute of Technology and Business in České Budějovice, 2021, vol. 14, No 1, p. 71-85. ISSN 1805-9112.

ROWLAND, Zuzana, George LAZAROIU and Ivana PODHORSKÁ. Use of Neural Networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate. Risks. Basel: MDPI, 2021, vol. 9, No 1, p. nestránkováno, 21 pp. ISSN 2227-9091. Available from: https://dx.doi.org/10.3390/risks9010001.

ŠULEŘ, Petr and Veronika MACHOVÁ. Better results of artificial neural networks in predicting ČEZ share prices. Journal of International Studies. Poland: Centre of Sociological Research, 2020, vol. 13, No 2, p. 259-278. ISSN 2071-8330. Available from: https://dx.doi.org/10.14254/2071-8330.2020/13-2/18.

MACHOVÁ, Veronika, Tomáš KRULICKÝ and Jakub HORÁK. Comparison of neural networks and regression time series in estimating the development of the afternoon price of gold on the New York stock exchange. Social and Economic Revue. Trenčín, Slovensko: Faculty of Social and Economic Relations, Alexander Dubček University in Trenčín, 2020, vol. 2020, No 1, p. 61-72. ISSN 2585-9358.

OLHA, Kuzmenko, Petr ŠULEŘ, Serhiy LYEONOV, Judrupa ILZE and Anton BOIKO. Data mining and bifurcation analysis of the risk of money laundering with the involvement of financial institutions. Journal of International Studies. Poland: Centre of Sociological Research, 2020, vol. 13, No 3, p. 332-339. ISSN 2071-8330. Available from: https://dx.doi.org/10.14254/2071-8330.2020/13-3/22.

DIAS, Rui, Pedro PARDAL, Nuno TEIXEIRA and Veronika MACHOVÁ. Financial market integration of ASEAN-5 with China. Littera Scripta. České Budějovice: The Institute of Technology and Business in České Budějovice, 2020, vol. 13, No 1, p. 46-63. ISSN 1805-9112.

VOCHOZKA, Marek, Jakub HORÁK and Tomáš KRULICKÝ. Innovations in management forecast: Time development of stock prices with neural networks. Marketing and Management of Innovations. Sumy, Ukrajina: Sumy State University, 2020, vol. 2020, No 2, p. 324-339. ISSN 2218-4511.

PARDAL, Pedro, Rui DIAS, Petr ŠULEŘ, Nuno TEIXEIRA and Tomáš KRULICKÝ. Integration in Central European capital markets in the context of the global COVID-19 pandemic. Equilibrium - Quarterly Journal of Economics and Economic Policy. Torun: Institute of Economic Research, 2020, vol. 15, No 4, p. 627 - 650. ISSN 1689-765X. Available from: https://dx.doi.org/10.24136/eq.2020.027.

VOCHOZKA, Marek, Jakub HORÁK, Tomáš KRULICKÝ and Pedro PARDAL. Predicting future Brent oil price on global markets. Acta Montanistica Slovaca. Košice: Technical University of Košice, 2020, vol. 25, No 3, p. 375-392. ISSN 1335-1788. Available from: https://dx.doi.org/10.46544/AMS.v25i3.10.

BRABENEC, Tomáš, Petr ŠULEŘ, Jakub HORÁK and Miloš PETRÁŠ. Prediction of the future development of gold price. Acta Montanistica Slovaca. Košice, Slovensko: Faculty of Miing, Ecology, Process Control and Geotechnologies, Technical University of Košice, 2020, vol. 25, No 2, p. 250-262. ISSN 1335-1788. Available from: https://dx.doi.org/10.46544/AMS.v25i2.11.

DIAS, Rui, Nuno TEIXEIRA, Veronika MACHOVÁ, Pedro PARDAL, Jakub HORÁK and Marek VOCHOZKA. Random walks and market efficiency tests: Evidence on US, Chinese and European capital markets within the context of the global Covid-19 pandemic. Oeconomia Copernicana. Olsztyn, Polsko: INST BADAN GOSPODARCZYCH, 2020, vol. 11, No 4, p. 585-608. ISSN 2083-1277. Available from: https://dx.doi.org/10.24136/oc.2020.024.

VOCHOZKA, Marek, Zuzana ROWLAND, Petr ŠULEŘ and Josef MAROUŠEK. The influence of the international price of oil on the value of the EUR/USD exchange rate. Journal of Competitiveness. Zlín, Czech Republic: Tomáš Baťa University, 2020, vol. 12, No 2, p. 167-190. ISSN 1804-171X.

ŠULEŘ, Petr, Jakub HORÁK and Tomáš KRULICKÝ. Validation of the prediction of ČEZ stock prices. Littera Scripta. České Budějovice: The Institute of Technology and Business in České Budějovice, 2020, vol. 13, No 1, p. 194-210. ISSN 1805-9112.

HORÁK, Jakub and Tomáš KRULICKÝ. Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company. In Horák, J. SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018). Les Ulis, France: EDP Sciences, 2019, p. nestránkováno, 13 pp. ISBN 978-2-7598-9063-7. Available from: https://dx.doi.org/10.1051/shsconf/20196101006.

VOCHOZKA, Marek and Jakub HORÁK. Comparison of neural networks and regression time series when estimating the copper price development. In Ashmarina, S., Vochozka, M. Sustainable Growth and Development of Economic Systems: Contradictions in the Era of Digitalization and Globalization, In: Contributions to Economics. Cham, Switzerland: Springer, 2019, p. 169-181. ISBN 978-3-030-11753-5.

VRBKA, Jaromír, Petr ŠULEŘ, Veronika MACHOVÁ and Jakub HORÁK. Considering seasonal fluctuations in equalizing time series by means of artificial neural networks for predicting development of USA and People ́s Republic of China trade balance. Littera Scripta. České Budějovice: The Institute of Technology and Business in České Budějovice, 2019, vol. 12, No 2, p. 178-193. ISSN 1805-9112. Available from: https://dx.doi.org/10.36708/Littera_Scripta2019/2/0.

VOCHOZKA, Marek, Jakub HORÁK and Petr ŠULEŘ. Equalizing seasonal time series using artificial neural networks in predicting the Euro-Yuan exchange rate. Journal of Risk and Financial Management. Basel, Switzerland: MDPI, 2019, vol. 12, No 2, p. nestránkováno, 17 pp. ISSN 1911-8066. Available from: https://dx.doi.org/10.3390/jrfm12020076.

MACHOVÁ, Veronika and Jan MAREČEK. Estimation of the development of Czech Koruna to Chinese Yuan exchange rate using artificial neural networks. In Horák, J. SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018). Les Ulis, France: EDP Sciences, 2019, p. nestránkováno, 10 pp. ISBN 978-2-7598-9063-7. Available from: https://dx.doi.org/10.1051/shsconf/20196101012.

MACHOVÁ, Veronika and Marek VOCHOZKA. Using artificial intelligence in analysing and predicting the development of stock prices of a subject company. In Ashmarina, S., Vochozka, M. Sustainable Growth and Development of Economic Systems: Contradictions in the Era of Digitalization and Globalization, In: Contributions to Economics. Cham, Switzerland: Springer, 2019, p. 235-245. ISBN 978-3-030-11753-5.

VOCHOZKA, Marek and Veronika MACHOVÁ. Comparison of neural network and regression time series in the prediction the development of the afternoon platinum price on the New York stock exchange. Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2018, vol. 6, No 2, p. 216-228. ISSN 1339-3189.

ROUSEK, Pavel, Eva ROSOCHATECKÁ and Marianna PSÁRSKA. Inflation forecasting on a specific example. Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2018, vol. 6, No 1, p. 137-146. ISSN 1339-3189.

ROUSEK, Pavel. Redefinice poptávky po veřejných statcích (Redefinition of public goods demand). Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2018, vol. 6, No 1, p. 147-152. ISSN 1339-3189.

ROUSEK, Pavel. Vzdělání jako veřejný a veřejně poskytovaný statek (Education as a public and publicly provided good). Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2018, vol. 6, No 1, p. 153-158. ISSN 1339-3189.

VOCHOZKA, Marek. Comparison of neural networks and regression time series in estimating the development of the afternoon price of palladium on the New York Stock Exchange. Trends Economics and Management. Brno: Fakulta podnikatelská Vysokého učení technického v Brně, 2017, vol. 30, No 3, p. 73-83. ISSN 1802-8527.

ROUSEK, Pavel. Critical Evaluation of Czech Municipal Spending Predictive Models. Online. In Ondřej Dvouletý, Martin Lukeš a Jan Mísař. Innovation Management, Entrepreneurship and Sustainability 2017 - Proceedings of the 5th International Conference. 1st ed. Praha: Vysoká škola ekonomická v Praze, Nakladatelství Oeconomica, 2017, p. 871-882. ISBN 978-80-245-2216-6.

DVOŘÁKOVÁ, Lenka. CZ GDP Prediction via neural networks and Box-Jenkins Method. In Váchal, Jan; Vochozka, Marek; Horák, Jakub. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade. 1st ed. Les Ulis, France: EDP Sciences, 2017, p. nestránkováno, 9 pp. ISBN 978-2-7598-9028-6.

ROUSEK, Pavel and Simona HAŠKOVÁ. Changes in the Concept of Public Greenery on the Basis of an Analysis of Czech Municipal Financing. In Váchal, Jan; Vochozka, Marek; Horák, Jakub. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade. 1st ed. Les Ulis, France: EDP Sciences, 2017, p. nestránkováno, 10 pp. ISBN 978-2-7598-9028-6.

VOCHOZKA, Marek and Veronika MACHOVÁ. Komparace neuronových sítí a regresních časových řad při odhadu vývoje ranních cen palladia na Newyorské burze (Comparison of neural networks and regression time series when estimating early morning palladium prices on the New York stock exchange). Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2017, vol. 5, No 7, p. 131-143. ISSN 1339-3189.

VOCHOZKA, Marek and Pavel ROUSEK. Komparace neuronových sítí a regresních časových řad při odhadu vývoje ranních cen platiny na Newyorské burze (Comparison of neural networks and regressive time series in estimating the development of the prices of platinum on the New York stock exchange). Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2017, vol. 5, No 9, p. 141-154. ISSN 1339-3189.

YAPING, He, Sheng PENGFEI and Marek VOCHOZKA. Pollution caused by finance and the relative policy analysis in China. Energy & Environment. London: Sage Publications, 2017, vol. 28, No 7, p. 808-823. ISSN 2048-4070. Available from: https://dx.doi.org/10.1177/0958305X17729782.

HAŠKOVÁ, Simona. Predikce budoucího vývoje cen akcií pomocí neuronových sítí na základě denních a měsíčních dat o ceně akcií (Prediction of future development of share prices using neural networks based on daily and monthly share price data). Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2017, vol. 5, No 9, p. 33-48. ISSN 1339-3189.

VRBKA, Jaromír and Zuzana ROWLAND. Stock price development forecasting using neural networks. In Váchal, Jan; Vochozka, Marek; Horák, Jakub. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade. 1st ed. Les Ulis, France: EDP Sciences, 2017, p. nestránkováno, 8 pp. ISBN 978-2-7598-9028-6. Available from: https://dx.doi.org/10.1051/shsconf/20173901032.

HAŠKOVÁ, Simona. Strategic Partnership of Independent States as a Game. In Váchal, Jan; Vochozka, Marek; Horák, Jakub. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade. 1st ed. Les Ulis, France: EDP Sciences, 2017, p. nestránkováno, 8 pp. ISBN 978-2-7598-9028-6.

HAŠKOVÁ, Simona and Petr VOLF. The Contribution of Foreign Direct Investments to the Convergence of Regions in the Czech Republic. Littera Scripta. České Budějovice: Vysoká škola technická a ekonomická v Českých Budějovicích, 2017, Neuveden, No 2, p. 23-33. ISSN 1805-9112.

ROUSEK, Pavel. The impact of the economic crisis on Czech municipal expenditures. In Váchal, Jan; Vochozka, Marek; Horák, Jakub. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade. 1st ed. Les Ulis, France: EDP Sciences, 2017, p. nestránkováno, 8 pp. ISBN 978-2-7598-9028-6. Available from: https://dx.doi.org/10.1051/shsconf/20173901023.

MAREČEK, Jan and Veronika MACHOVÁ. The influence of public debt on the performance of the economy. In Váchal, Jan; Vochozka, Marek; Horák, Jakub. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade. 1st ed. Les Ulis, France: EDP Sciences, 2017, p. nestránkováno, 9 pp. ISBN 978-2-7598-9028-6. Available from: https://dx.doi.org/10.1051/shsconf/20173901018.

ROUSEK, Pavel. Základní komparace finančních metod soukromého a veřejného sektoru (Basic Comparison of Private andj Public Sector Methods). Mladá veda. Prešov: Vydavateľstvo UNIVERSUM, spol. s r. o., 2017, vol. 5, No 7, p. 77-86. ISSN 1339-3189.

HAŠKOVÁ, Simona. MACROECONOMIC ANALYSIS OF SELECTED ASPECTS OF EUROPEAN MONETARY INTEGRATION. Online. In Kliestik Tomas. Proceedings of 16th International Scientific Conference on Globalization and its Socio-Economic Consequences Location. 1st. Žilina: ZU - UNIVERSITY OF ZILINA, 2016, p. 620-627. ISBN 978-80-8154-191-9.