Theophilos Papadimitriou : Citation Profile

Democritus University of Thrace

10

H index

11

i10 index

345

Citations

RESEARCH PRODUCTION:

46

Articles

48

Papers

2

Chapters

RESEARCH ACTIVITY:

   12 years (2012 - 2024). See details.
   Cites by year: 28
   Journals where Theophilos Papadimitriou has often published
   Relations with other researchers
   Recent citing documents: 50.    Total self citations: 30 (8 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/ppa782
   Updated: 2025-06-07    RAS profile: 2024-09-11    
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Relations with other researchers

Works with:

Gogas, Periklis (19)

Sofianos, Emmanouil (5)

Plakandaras, Vasilios (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Theophilos Papadimitriou.

Is cited by:

GUPTA, RANGAN (49)

Plakandaras, Vasilios (20)

Wohar, Mark (17)

Tabak, Benjamin (9)

Bouri, Elie (8)

Gogas, Periklis (8)

Cepni, Oguzhan (7)

Silva, Thiago (6)

Demirer, Riza (6)

Uddin, Gazi (5)

Miller, Stephen (5)

Cites to:

Gogas, Periklis (62)

GUPTA, RANGAN (21)

Plakandaras, Vasilios (20)

Tabak, Benjamin (18)

Watson, Mark (18)

Stock, James (17)

Mantegna, Rosario (15)

Rossi, Barbara (11)

Sekhposyan, Tatevik (10)

Estrella, Arturo (9)

Debrun, Xavier (9)

Main data

Where Theophilos Papadimitriou has published?

Journals with more than one article published# docs
Computational Economics5
Energies4
Physica A: Statistical Mechanics and its Applications4
Applied Economics Letters3
Journal of Forecasting3
Forecasting2
Journal of Risk Finance2
The Journal of Economic Asymmetries2
JRFM2
IJFS2

Working Papers Series with more than one paper published# docs
Working Paper series / Rimini Centre for Economic Analysis10
Working Papers / University of Pretoria, Department of Economics6
Papers / arXiv.org2

Recent works citing Theophilos Papadimitriou (2025 and 2024)

YearTitle of citing document
2025Extending the Scope of Inference About Predictive Ability to Machine Learning Methods. (2024). Escanciano, Juan Carlos ; Parra, Ricardo. In: Papers. RePEc:arx:papers:2402.12838.

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2024Review of deep learning models for crypto price prediction: implementation and evaluation. (2024). Zhang, Xinyi ; Chandra, Rohtiash ; Wu, Jingyang ; Zhou, Haochen ; Huang, Fangyixuan. In: Papers. RePEc:arx:papers:2405.11431.

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2024Constructing a Destructive Events Tool using Small Rectangular Areas, Computable General Equilibrium Modelling and Neural Networks. (2024). Wittwer, Glyn ; Sheard, Nicholas ; Rimmer, Maureen T ; Mustakinov, Dean ; Jerie, Michael ; Dixon, Peter ; Schiffmann, Florian. In: Centre of Policy Studies/IMPACT Centre Working Papers. RePEc:cop:wpaper:g-349.

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2024Day-ahead electricity price prediction in multi-price zones based on multi-view fusion spatio-temporal graph neural network. (2024). Zhu, Jianbin ; Yin, Hao ; Yan, Baiping ; Meng, Anbo. In: Applied Energy. RePEc:eee:appene:v:369:y:2024:i:c:s030626192400936x.

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2024Who will sign a double tax treaty next? A prediction based on economic determinants and machine learning algorithms. (2024). Zagler, Martin ; Erokhin, Dmitry. In: Economic Modelling. RePEc:eee:ecmode:v:139:y:2024:i:c:s0264999324001767.

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2024Unraveling the crystal ball: Machine learning models for crude oil and natural gas volatility forecasting. (2024). Tiwari, Aviral ; Hossain, Mohammad Razib ; Sharma, Gagan Deep ; Dev, Dhairya ; Rao, Amar. In: Energy Economics. RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324003165.

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2024A Chinese clout on energy exports some countries cannot shake off. (2024). Fassas, Athanasios ; Dragomirescu-Gaina, Catalin ; Philippas, Dionisis. In: Energy Economics. RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324003426.

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2024Seasonality in deep learning forecasts of electricity imbalance prices. (2024). Smirnov, Vladimir ; Deng, Sinan ; Inekwe, John ; Wang, Chao ; Wait, Andrew. In: Energy Economics. RePEc:eee:eneeco:v:137:y:2024:i:c:s014098832400478x.

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2025Identifying influence pathways of oil price shocks on inflation based on impulse response networks. (2025). An, Haizhong ; Wang, Anjian ; Sun, Qingru ; Zhang, Yupeng ; Zheng, Huiling ; Gao, Xiangyun ; Zhao, Yiran. In: Energy. RePEc:eee:energy:v:314:y:2025:i:c:s0360544224038854.

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2024Systemic risk prediction using machine learning: Does network connectedness help prediction?. (2024). Wang, Gang-Jin ; Zhu, You ; Chen, Yan ; Xie, Chi. In: International Review of Financial Analysis. RePEc:eee:finana:v:93:y:2024:i:c:s1057521924000796.

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2024Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting. (2024). Mirza, Nawazish ; Abbas, Syed Kumail ; Umar, Muhammad ; Naqvi, Bushra. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001704.

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2024New evidence of interdependence in forex markets: A connection of connection analysis. (2024). Xu, Xin ; Sun, Xiaotong ; Wu, Tao ; Xuan, Siyuan ; Jia, Nanfei. In: International Review of Financial Analysis. RePEc:eee:finana:v:95:y:2024:i:pa:s1057521924002758.

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2024A machine learning approach in stress testing US bank holding companies. (2024). Fonton, Ahmadou Mustapha. In: International Review of Financial Analysis. RePEc:eee:finana:v:95:y:2024:i:pc:s1057521924004083.

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2024Forecasting U.S. recessions using over 150 years of data: Stock-market moments versus oil-market moments. (2024). Pierdzioch, Christian ; GUPTA, RANGAN ; Bouri, Elie ; Polat, Onur. In: Finance Research Letters. RePEc:eee:finlet:v:69:y:2024:i:pb:s154461232401208x.

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2025Forecasting the daily exchange rate of the UK pound sterling against the US dollar. (2025). Darvas, Zsolt ; Schepp, Zoltn. In: Finance Research Letters. RePEc:eee:finlet:v:71:y:2025:i:c:s1544612324014806.

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2024Forecasting exchange rate volatility: An amalgamation approach. (2024). Souropanis, Ioannis ; Alexandridis, Antonios K ; Panopoulou, Ekaterini. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:97:y:2024:i:c:s1042443124001331.

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2024Ricardian equivalence and positively sloped IS curve: (Dis)equilibrium insights. (2024). Tsioutsios, Alexandros ; Sidiropoulos, Moise ; Chrysanthopoulou, Xakousti. In: The Journal of Economic Asymmetries. RePEc:eee:joecas:v:30:y:2024:i:c:s1703494924000343.

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2024Assessing the performance of banks through an improved sigma-mu multicriteria analysis approach. (2024). Angilella, Silvia ; Doumpos, Michalis ; Pappalardo, Maria Rosaria ; Zopounidis, Constantin. In: Omega. RePEc:eee:jomega:v:127:y:2024:i:c:s0305048324000653.

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2024Estimation of global natural gas spot prices using big data and symbolic regression. (2024). Praksova, Renata ; Staji, Ljubia ; Brki, Dejan. In: Resources Policy. RePEc:eee:jrpoli:v:95:y:2024:i:c:s0301420724005117.

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2024GDP nowcasting: A machine learning and remote sensing data-based approach for Bolivia. (2024). Bolivar Rosales, Osmar. In: Latin American Journal of Central Banking (previously Monetaria). RePEc:eee:lajcba:v:5:y:2024:i:3:s2666143824000085.

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2024How does the economic structure break change the forecast effect of money and credit on output? Evidence based on machine learning algorithms. (2024). Zhao, Zhihui ; Tian, Yuan ; Lu, Yao ; Zhan, Minghua. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:84:y:2024:i:c:s0927538x24000763.

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2024Stylized facts of metaverse non-fungible tokens. (2024). Osterrieder, Joerg ; Lord, Nicholas ; Zhang, Yuanyuan ; Almazloum, Ward ; Chandrashekhar, Durga ; Chu, Jeffrey. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:653:y:2024:i:c:s0378437124006125.

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2024Bank failure prediction models: Review and outlook. (2024). Citterio, Alberto. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:92:y:2024:i:c:s003801212400017x.

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2024Using machine learning for NEETs and sustainability studies: Determining best machine learning algorithms. (2024). Berigel, Muhammet ; Bozta, Gizem Dilan ; Neagu, Gabriela ; Rocca, Antonella. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:94:y:2024:i:c:s0038012124001204.

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2025Traditional Prediction Techniques and Machine Learning Approaches for Financial Time Series Analysis. (2025). Mariella, Leonardo ; de Iaco, Sandra ; Congedi, Antonella ; Cappello, Claudia. In: Mathematics. RePEc:gam:jmathe:v:13:y:2025:i:3:p:537-:d:1584771.

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2025Estimating Hydrogen Price Based on Combined Machine Learning Models by 2060: Especially Comparing Regional Variations in China. (2025). Yin, Can ; Jin, Lifu. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:3:p:1049-:d:1578586.

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2024Are national or regional surveys useful for nowcasting regional jobseekers? The case of the French region of Pays-de-la-Loire. (2024). Darne, Olivier ; Cariou, Clement ; Charles, Amelie. In: Post-Print. RePEc:hal:journl:hal-04675599.

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2024Functional Cointegration Test for Expectation Hypothesis of the Term Structure of Interest Rates in China. (2024). Lin, Aihua ; Su, Zhifang ; Fu, Yizheng. In: Asia-Pacific Financial Markets. RePEc:kap:apfinm:v:31:y:2024:i:4:d:10.1007_s10690-023-09431-w.

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2024On the Dynamics of Relative Prices and the Relationship with Inflation: An Empirical Approach. (2024). Brida, Juan ; Mones, Pablo ; Alvarez, Emiliano. In: Computational Economics. RePEc:kap:compec:v:63:y:2024:i:1:d:10.1007_s10614-022-10342-7.

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2024Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy. (2024). Lazebnik, Teddy ; Shami, Labib. In: Computational Economics. RePEc:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10369-4.

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2024Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research. (2024). Polyzos, Efstathios ; Siriopoulos, Costas. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:1:d:10.1007_s10614-023-10429-9.

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2024Chinas business cycle forecasting: a machine learning approach. (2024). Tang, Pan ; Zhang, Yuwei. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:5:d:10.1007_s10614-024-10549-w.

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2024Option Pricing and Local Volatility Surface by Physics-Informed Neural Network. (2024). Lee, Muhyun ; Kang, Seunggu ; Bae, Hyeong-Ohk. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:5:d:10.1007_s10614-024-10551-2.

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2024Forecasting Bank Failure in the U.S.: A Cost-Sensitive Approach. (2024). Sen, Safa ; Ekinci, Aykut. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:6:d:10.1007_s10614-023-10537-6.

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2025Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics. (2025). Shoaib, Muhammad ; Syed, Farwah Ali ; Fang, Kwo-Ting ; Kiani, Adiqa Kausar ; Zahoor, Muhammad Asif. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:1:d:10.1007_s10614-024-10587-4.

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2025Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity. (2025). Lazebnik, Teddy. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:3:d:10.1007_s10614-024-10606-4.

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2025Optimal Time Varying Parameters in Yield Curve Modeling and Forecasting: A Simulation Study on BRICS Countries. (2025). Resta, Marina ; Castello, Oleksandr. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:4:d:10.1007_s10614-024-10619-z.

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2025Machine learning forecasting in the macroeconomic environment: the case of the US output gap. (2025). Gogas, Periklis ; Papadimitriou, Theophilos ; Alexakis, Christos ; Sofianos, Emmanouil. In: Economic Change and Restructuring. RePEc:kap:ecopln:v:58:y:2025:i:1:d:10.1007_s10644-024-09849-w.

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2024Private and public debt convergence: a fractional cointegration approach. (2024). Gil-Alana, Luis ; Malmierca-Ordoqui, Maria ; Bermejo, Lorenzo. In: Empirica. RePEc:kap:empiri:v:51:y:2024:i:1:d:10.1007_s10663-023-09594-9.

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2024Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset. (2024). Alomair, Gadir. In: PLOS ONE. RePEc:plo:pone00:0314975.

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2024Forecasting U.S. Recessions Using Over 150 Years of Data: Stock-Market Moments versus Oil-Market Moments. (2024). Pierdzioch, Christian ; GUPTA, RANGAN ; Polat, Onur ; Bouri, Elie. In: Working Papers. RePEc:pre:wpaper:202435.

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2025Early warning system to predict energy prices: the role of artificial intelligence and machine learning. (2025). Alshater, Muneer M ; Kampouris, Ilias ; Marashdeh, Hazem ; Atayah, Osama F ; Banna, Hasanul. In: Annals of Operations Research. RePEc:spr:annopr:v:345:y:2025:i:2:d:10.1007_s10479-022-04908-9.

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2024Machine learning in business and finance: a literature review and research opportunities. (2024). Li, Cong-Cong ; Dong, Yucheng ; Chao, Xiangrui ; Zhang, Hengjie ; Liang, Haiming ; Gao, Hanyao ; Kou, Gang. In: Financial Innovation. RePEc:spr:fininn:v:10:y:2024:i:1:d:10.1186_s40854-024-00629-z.

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2024Developing and comparing machine learning approaches for predicting insurance penetration rates based on each country. (2024). Ghorashi, Seyed Farshid ; Bahri, Maziyar ; Goodarzi, Atousa. In: Letters in Spatial and Resource Sciences. RePEc:spr:lsprsc:v:17:y:2024:i:1:d:10.1007_s12076-024-00387-7.

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2025Machine learning price index forecasts of flat steel products. (2025). Xu, Xiaojie ; Jin, Bingzi. In: Mineral Economics. RePEc:spr:minecn:v:38:y:2025:i:1:d:10.1007_s13563-024-00457-8.

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2024Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis. (2024). Thasneem, J ; Thomas, Ann Susan ; Vijayappan, Ajitha Kumari. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:58:y:2024:i:1:d:10.1007_s11135-023-01673-0.

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2024Predicting financial crises: an evaluation of machine learning algorithms and model explainability for early warning systems. (2024). Reimann, Chris. In: Review of Evolutionary Political Economy. RePEc:spr:revepe:v:5:y:2024:i:1:d:10.1007_s43253-024-00114-4.

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2025Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches. (2025). Shabanlou, Saeid ; Poursaeid, Mojtaba ; Poursaeed, Amir Hossein. In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). RePEc:spr:waterr:v:39:y:2025:i:3:d:10.1007_s11269-024-04006-4.

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2024Kinship, gender and social links impact on micro group lending defaults. (2024). Alaoui, Youssef Lamrani ; Fairchild, Richard ; Tkiouat, Mohamed ; Chan, Dora ; el Fakir, Adil ; Amer, Zaid. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:29:y:2024:i:2:p:2527-2542.

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2024Are national or regional surveys useful for nowcasting regional jobseekers? The case of the French region of Pays‐de‐la‐Loire. (2024). Darne, Olivier ; Cariou, Clement ; Charles, Amelie. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:6:p:2341-2357.

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Works by Theophilos Papadimitriou:

YearTitleTypeCited
2013Fiscal shocks and asymmetric effects: a comparative analysis In: Papers.
[Full Text][Citation analysis]		paper3
2015Fiscal shocks and asymmetric effects: A comparative analysis.(2015) In: The Journal of Economic Asymmetries.
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This paper has nother version. Agregated cites: 3		article
2017Forecasting the U.S. Real House Price Index In: Papers.
[Full Text][Citation analysis]		paper27
2015Forecasting the U.S. real house price index.(2015) In: Economic Modelling.
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This paper has nother version. Agregated cites: 27		article
2014Forecasting the U.S. Real House Price Index.(2014) In: Working Papers.
[Citation analysis]
This paper has nother version. Agregated cites: 27		paper
2014Forecasting the U.S. Real House Price Index.(2014) In: Working Paper series.
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2014Forecasting the U.S. Real House Price Index.(2014) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 27		paper
2013Complex Networks and Banking Systems Supervision In: Working Papers Series.
[Full Text][Citation analysis]		paper19
2013Complex networks and banking systems supervision.(2013) In: Physica A: Statistical Mechanics and its Applications.
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2015Yield Curve Point Triplets in Recession Forecasting In: International Finance.
[Full Text][Citation analysis]		article8
2013Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach In: Economics Bulletin.
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2013Comparison of Simple Sum and Divisia Monetary Aggregates in GDP Forecasting: A Support Vector Machines Approach.(2013) In: Working Paper series.
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2014Forecasting energy markets using support vector machines In: Energy Economics.
[Full Text][Citation analysis]		article34
2018Forecasting bank failures and stress testing: A machine learning approach In: International Journal of Forecasting.
[Full Text][Citation analysis]		article26
2014Public debt and private consumption in OECD countries In: The Journal of Economic Asymmetries.
[Full Text][Citation analysis]		article8
2014Public Debt and Private Consumption in OECD countries.(2014) In: DUTH Research Papers in Economics.
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2016International business cycle synchronization since the 1870s: Evidence from a novel network approach In: Physica A: Statistical Mechanics and its Applications.
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2015International Business Cycle Synchronization since the 1870s: Evidence from a Novel Network Approach.(2015) In: MPRA Paper.
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2015International Business Cycle Synchronization Since the 1870s: Evidence from a Novel Network Approach.(2015) In: DUTH Research Papers in Economics.
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2016Bank supervision using the Threshold-Minimum Dominating Set In: Physica A: Statistical Mechanics and its Applications.
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2017Income inequality: A complex network analysis of US states In: Physica A: Statistical Mechanics and its Applications.
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2019A re-evaluation of the term spread as a leading indicator In: International Review of Economics & Finance.
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2019Forecasting transportation demand for the U.S. market In: Transportation Research Part A: Policy and Practice.
[Full Text][Citation analysis]		article3
2014Forecasting bank credit ratings In: Journal of Risk Finance.
[Full Text][Citation analysis]		article10
2013Forecasting Bank Credit Ratings.(2013) In: Working Paper series.
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2014Forecasting Bank Credit Ratings.(2014) In: DUTH Research Papers in Economics.
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2014Forecasting bank credit ratings In: Journal of Risk Finance.
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2024Fuel Price Networks in the EU In: Economies.
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2021Forecasting Natural Gas Spot Prices with Machine Learning In: Energies.
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2022Emerging Trends in Energy Economics In: Energies.
[Full Text][Citation analysis]		article2
2023Machine Learning in Renewable Energy In: Energies.
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2024Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms In: Energies.
[Full Text][Citation analysis]		article1
2018Oil Market Efficiency under a Machine Learning Perspective In: Forecasting.
[Full Text][Citation analysis]		article2
2022Forecasting Bitcoin Spikes: A GARCH-SVM Approach In: Forecasting.
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2023Cryptocurrencies and Long-Range Trends In: IJFS.
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2020Forecasting Credit Ratings of EU Banks In: IJFS.
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2022The Convergence Evolution in Europe from a Complex Networks Perspective In: JRFM.
[Full Text][Citation analysis]		article0
2022Supervision of Banking Networks Using the Multivariate Threshold-Minimum Dominating Set (mT-MDS) In: JRFM.
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2023Machine Learning in Forecasting Motor Insurance Claims In: Risks.
[Full Text][Citation analysis]		article3
2023Forecasting the Stability and Growth Pact compliance using Machine Learning In: Post-Print.
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2022Forecasting the Stability and Growth Pact compliance using Machine Learning.(2022) In: Working Papers.
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2021Forecasting the Stability and Growth Pact compliance using Machine Learning..(2021) In: Working Papers of BETA.
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2021Forecasting the Stability and Growth Pact compliance using Machine Learning In: Working Papers.
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2013Forecasting the insolvency of US banks using support vector machines (SVMs) based on local learning feature selection In: International Journal of Computational Economics and Econometrics.
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2013Forecasting the insolvency of U.S. banks using Support Vector Machines (SVM) based on Local Learning Feature Selection.(2013) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 3		paper
2015Yield Curve and Recession Forecasting in a Machine Learning Framework In: Computational Economics.
[Full Text][Citation analysis]		article26
2014Yield curve and Recession Forecasting in a Machine Learning Framework.(2014) In: Working Paper series.
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2014Yield Curve and Recession Forecasting in a Machine Learning Framework.(2014) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 26		paper
2016Convergence of European Business Cycles: A Complex Networks Approach In: Computational Economics.
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2014Convergence of European Business Cycles: A Complex Networks Approach.(2014) In: Working Paper series.
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This paper has nother version. Agregated cites: 7		paper
2018A Network Analysis of the United Kingdom’s Consumer Price Index In: Computational Economics.
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2015A Network Analysis of the United Kingdom’s Consumer Price Index.(2015) In: DUTH Research Papers in Economics.
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2021Gold Against the Machine In: Computational Economics.
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2021Machine Learning in Economics and Finance In: Computational Economics.
[Full Text][Citation analysis]		article17
2014US Inflation Dynamics on Long Range Data In: Working Papers.
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2015US inflation dynamics on long range data.(2015) In: DUTH Research Papers in Economics.
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2015US inflation dynamics on long-range data.(2015) In: Applied Economics.
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2015Income Inequality: A State-by-State Complex Network Analysis In: Working Papers.
[Citation analysis]		paper4
2016Income Inequality: A State-by-State Complex Network Analysis.(2016) In: DUTH Research Papers in Economics.
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2016Income Inequality: A State-by-State Complex Network Analysis.(2016) In: Working papers.
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2015The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach In: Working Papers.
[Citation analysis]		paper7
2019The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach.(2019) In: DUTH Research Papers in Economics.
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This paper has nother version. Agregated cites: 7		paper
2017The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach.(2017) In: Journal of Forecasting.
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This paper has nother version. Agregated cites: 7		article
2016The Term Premium as a Leading Macroeconomic Indicator In: Working Papers.
[Citation analysis]		paper3
2017Macroeconomic Uncertainty, Growth and Inflation in the Eurozone: A Causal Approach In: Working Papers.
[Citation analysis]		paper0
2018Macroeconomic uncertainty, growth and inflation in the Eurozone: a causal approach.(2018) In: Applied Economics Letters.
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2018The Fama 3 and Fama 5 factor models under a machine learning framework In: Working Paper series.
[Full Text][Citation analysis]		paper2
2014A Novel Banking Supervision Method using the Minimum Dominating Set In: Working Paper series.
[Full Text][Citation analysis]		paper0
2014A novel Banking Supervision Method using the Minimum Dominating Set.(2014) In: DUTH Research Papers in Economics.
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2014A Novel Banking Supervision Method Using the Minimum Dominating Set.(2014) In: Springer Optimization and Its Applications.
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2014European Business Cycle Synchronization: a Complex Network Perspective In: Working Paper series.
[Full Text][Citation analysis]		paper1
2014European Business Cycle Synchronization: A Complex Network Perspective.(2014) In: Springer Optimization and Its Applications.
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2014Market Sentiment and Exchange Rate Directional Forecasting In: Working Paper series.
[Full Text][Citation analysis]		paper10
2015Market sentiment and exchange rate directional forecasting.(2015) In: Algorithmic Finance.
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2013Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques In: Working Paper series.
[Full Text][Citation analysis]		paper3
2013Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques.(2013) In: DUTH Research Papers in Economics.
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2012Economic Viability And Macroeconomic Impact Of The Burgas - Alexandroupolis Pipeline In: DUTH Research Papers in Economics.
[Full Text][Citation analysis]		paper0
2012Optimum Currency Areas within the US and Canada a Data Analysis Approach In: DUTH Research Papers in Economics.
[Full Text][Citation analysis]		paper0
2012Directional forecasting in financial time series using support vector machines: The USD/Euro exchange rate In: DUTH Research Papers in Economics.
[Full Text][Citation analysis]		paper3
2013Forecasting daily and monthly exchange rates with machine learning techniques In: DUTH Research Papers in Economics.
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2015Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques.(2015) In: Journal of Forecasting.
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This paper has nother version. Agregated cites: 22		article
2013Asymmetric Fiscal Policy Shocks In: DUTH Research Papers in Economics.
[Full Text][Citation analysis]		paper0
2014Analyzing the co-movements of the US Gross State Product Growth with the use of the Minimum Dominating Set In: DUTH Research Papers in Economics.
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2014Convergence of European Business Cycles: Evidence from a Graph Theory-based Model In: DUTH Research Papers in Economics.
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2014A Novel Banking Supervision Method using a Threshold-Minimum Dominating Set In: DUTH Research Papers in Economics.
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2019Money Neutrality, Monetary Aggregates and Machine Learning In: DUTH Research Papers in Economics.
[Full Text][Citation analysis]		paper2
2021Credit Rating Agencies: Evolution or Extinction? In: DUTH Research Papers in Economics.
[Full Text][Citation analysis]		paper0
2016Testing Exchange Rate Models in a Small Open Economy: an SVR Approach In: Bulletin of Applied Economics.
[Full Text][Citation analysis]		article3
2019A re-evaluation of the Feldstein-Horioka puzzle in the Eurozone In: Journal of Risk & Control.
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2020Forecasting S&P 500 spikes: an SVM approach In: Digital Finance.
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2021An AutoML application to forecasting bank failures In: Applied Economics Letters.
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2022Mind the gap: forecasting euro-area output gaps with machine learning In: Applied Economics Letters.
[Full Text][Citation analysis]		article2
2013Testing purchasing power parity in a DFA rolling Hurst framework: the case of 23 OECD countries In: Applied Financial Economics.
[Full Text][Citation analysis]		article3
2019On the Stability and Growth Pact compliance: what is predictable with machine learning? In: Working Papers of BETA.
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2022The resilience of the U.S. banking system In: International Journal of Finance & Economics.
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2022Forecasting unemployment in the euro area with machine learning In: Journal of Forecasting.
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