IDEAS home Printed from https://ideas.repec.org/f/pde1134.html
   My authors  Follow this author

Eva Dezsi

Personal Details

First Name:Eva
Middle Name:
Last Name:Dezsi
Suffix:
RePEc Short-ID:pde1134

Affiliation

Facultatea de Business
Universitatea Babeş-Bolyai

Cluj-Napoca, Romania
http://www.tbs.ubbcluj.ro/
RePEc:edi:fbubbro (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Eva DEZSI & Ioan Alin NISTOR, 2016. "Can Deep Machine Learning Outsmart The Market? A Comparison Between Econometric Modelling And Long- Short Term Memory," Romanian Economic Business Review, Romanian-American University, vol. 11(4.1), pages 54-73, december.
  2. TRENCA Ioan & PETRIA Nicolae & DEZSI Eva, 2014. "Linkages Between The Stock Markets Of Eastern Europe," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 66(1), pages 91-104.
  3. Trenca Ioan & Petria Nicolae & Dezsi Eva, 2013. "An Inquiry Into Contagion Transmission And Spillover Effects In Stock Markets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 472-482, December.
  4. Ioan TRENCA & Eva DEZSI, 2012. "Financial contagion on the Romanian stock market," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(14), pages 27-36, December.
  5. Fat Codruta Maria & Dezsi Eva, 2011. "Exchange-Rates Forecasting: Exponential Smoothing Techniques And Arima Models," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 499-508, July.
  6. Eugenia Ramona MARA & Eva DEZSI, 2011. "Fiscal Policy Impact on Inflation Volatility in Romania in The Economic Crisis Context," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(13), pages 181-187, December.
  7. Ioan TRENCA & Simona MUTU & Eva DEZSI, 2011. "Advantages and Limitations of VAR Models Used in Managing Market Risk in Banks," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(13), pages 32-43, December.
  8. Ioan TRENCA & Eva DEZSI, 2010. "The integration of capital markets: correlation analysis," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(12), pages 44-53, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Eva DEZSI & Ioan Alin NISTOR, 2016. "Can Deep Machine Learning Outsmart The Market? A Comparison Between Econometric Modelling And Long- Short Term Memory," Romanian Economic Business Review, Romanian-American University, vol. 11(4.1), pages 54-73, december.

    Cited by:

    1. Omer Berat Sezer & Mehmet Ugur Gudelek & Ahmet Murat Ozbayoglu, 2019. "Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019," Papers 1911.13288, arXiv.org.

  2. Trenca Ioan & Petria Nicolae & Dezsi Eva, 2013. "An Inquiry Into Contagion Transmission And Spillover Effects In Stock Markets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 472-482, December.

    Cited by:

    1. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.

  3. Ioan TRENCA & Eva DEZSI, 2012. "Financial contagion on the Romanian stock market," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(14), pages 27-36, December.

    Cited by:

    1. Abubakar Jamaladeen & David E. Omoregie & Samuel F. Onipede & Nafiu A. Bashir, 2022. "A regime-switching skew-normal model of contagion in some selected stock markets," SN Business & Economics, Springer, vol. 2(12), pages 1-20, December.
    2. Ștefan Ionescu & Nora Chiriță & Ionuț Nica & Camelia Delcea, 2023. "An Analysis of Residual Financial Contagion in Romania’s Banking Market for Mortgage Loans," Sustainability, MDPI, vol. 15(15), pages 1-32, August.

  4. Fat Codruta Maria & Dezsi Eva, 2011. "Exchange-Rates Forecasting: Exponential Smoothing Techniques And Arima Models," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 499-508, July.

    Cited by:

    1. AsadUllah, Muhammad & Mujahid, Hira & I. Tabash, Mosab & Ayubi, Sharique & Sabri, Rabia, 2020. "Forecasting indian rupee/us dollar: arima, exponential smoothing, naïve, nardl, combination techniques," MPRA Paper 111150, University Library of Munich, Germany.
    2. Tasadduq Imam, 2021. "Model selection for one‐day‐ahead AUD/USD, AUD/EUR forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1808-1824, April.
    3. Nyoni, Thabani, 2018. "Modeling and Forecasting Naira / USD Exchange Rate In Nigeria: a Box - Jenkins ARIMA approach," MPRA Paper 88622, University Library of Munich, Germany, revised 19 Aug 2018.
    4. Andreea – Cristina PETRICA & Stelian STANCU, 2017. "Empirical Results of Modeling EUR/RON Exchange Rate using ARCH, GARCH, EGARCH, TARCH and PARCH models," Romanian Statistical Review, Romanian Statistical Review, vol. 65(1), pages 57-72, March.
    5. Cenk Ufuk Yıldıran & Abdurrahman Fettahoğlu, 2017. "Forecasting USDTRY rate by ARIMA method," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1335968-133, January.
    6. Javier Oliver Muncharaz, 2020. "Comparing classic time series models and the LSTM recurrent neural network: An application to S&P 500 stocks [Comparativa de los models clásicos de series temporales con la red neuronal recurrente ," Post-Print hal-03149342, HAL.
    7. Hatice Erkekoglu & Aweng Peter Majok Garang & Adire Simon Deng, 2020. "Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 206-216.

  5. Eugenia Ramona MARA & Eva DEZSI, 2011. "Fiscal Policy Impact on Inflation Volatility in Romania in The Economic Crisis Context," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(13), pages 181-187, December.

    Cited by:

    1. Eugenia-Ramona Mara, 2012. "Fiscal Policy in the European Union – Present and Perspectives," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 2(2), pages 156-168, April.
    2. Raluca Andreea GHETU & Cristina-Simona CĂPĂȚÎNĂ & Petre BREZEANU, 2021. "The Evolution Of Fiscal Pressure In Developed E.U. Countries And Its Determinants," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 30(2), pages 239-249, December.
    3. Clement Olalekan Olaniyi, 2020. "Application of Bootstrap Simulation and Asymmetric Causal Approach to Fiscal Deficit-Inflation Nexus," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 12(2), pages 123-140, May.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Eva Dezsi should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.