Theophilos Papadimitriou : Citation Profile


Are you Theophilos Papadimitriou?

Democritus University of Thrace

8

H index

7

i10 index

227

Citations

RESEARCH PRODUCTION:

37

Articles

46

Papers

2

Chapters

RESEARCH ACTIVITY:

   10 years (2012 - 2022). See details.
   Cites by year: 22
   Journals where Theophilos Papadimitriou has often published
   Relations with other researchers
   Recent citing documents: 45.    Total self citations: 27 (10.63 %)

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   Permalink: http://citec.repec.org/ppa782
   Updated: 2022-09-24    RAS profile: 2022-08-01    
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Relations with other researchers


Works with:

Gogas, Periklis (25)

Plakandaras, Vasilios (11)

GUPTA, RANGAN (7)

Sarantitis, Georgios (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 (45)

Plakandaras, Vasilios (18)

Wohar, Mark (16)

Tabak, Benjamin (9)

Bouri, Elie (8)

Miller, Stephen (6)

Demirer, Riza (6)

Silva, Thiago (6)

Suleman, Tahir (5)

Uddin, Gazi (4)

Peñaloza, Rodrigo Andrés (4)

Cites to:

Gogas, Periklis (50)

GUPTA, RANGAN (21)

Tabak, Benjamin (18)

Plakandaras, Vasilios (17)

Watson, Mark (17)

Stock, James (16)

Mantegna, Rosario (13)

Rossi, Barbara (11)

Sekhposyan, Tatevik (10)

Sarno, Lucio (9)

Härdle, Wolfgang (8)

Main data


Where Theophilos Papadimitriou has published?


Journals with more than one article published# docs
Computational Economics5
Physica A: Statistical Mechanics and its Applications4
Journal of Forecasting3
The Journal of Economic Asymmetries2
Energies2
Applied Economics Letters2

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 (2022 and 2021)


YearTitle of citing document
2022Forecasting agricultural commodity price using different models: a case study of widely consumed grains in Nigeria. (2022). Adeeko, Omotara ; Safi, Samir K ; Sanusi, Olajide I ; Tabash, Mosab I. In: Agricultural and Resource Economics: International Scientific E-Journal. RePEc:ags:areint:322724.

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2022Predicting Recession Probabilities Using Term Spreads: New Evidence from a Machine Learning Approach. (2021). Choi, Jaehyuk ; Sohn, Sungbin ; Ge, Desheng. In: Papers. RePEc:arx:papers:2101.09394.

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2021Forecasting with Deep Learning: S&P 500 index. (2021). Gurrib, Ikhlaas ; Smail, Linda ; Kamalov, Firuz. In: Papers. RePEc:arx:papers:2103.14080.

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2021A Sentiment-based Risk Indicator for the Mexican Financial Sector. (2021). Palma, Brenda ; Fernandez, Raul ; Rho, Caterina. In: Working Papers. RePEc:bdm:wpaper:2021-04.

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2021Comparing minds and machines: implications for financial stability. (2021). Haldane, Andy ; Buckmann, Marcus ; Huser, Anne-Caroline. In: Bank of England working papers. RePEc:boe:boeewp:0937.

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2021Behavioural Economics, What Have we Missed? Exploring “Classical” Behavioural Economics Roots in AI, Cognitive Psychology, and Complexity Theory. (2021). Torgler, Benno ; Bickley, Steve J. In: CREMA Working Paper Series. RePEc:cra:wpaper:2021-21.

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2021A machine learning-based surrogate model to approximate optimal building retrofit solutions. (2021). Orehounig, Kristina ; Lucchi, Aurelien ; Mavromatidis, Georgios ; Thrampoulidis, Emmanouil. In: Applied Energy. RePEc:eee:appene:v:281:y:2021:i:c:s0306261920314665.

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2021Are oil prices efficient?. (2021). Mehmood, Fahad ; Haroon, Omair ; Aun, Syed ; Arshad, Shaista ; Gong, Qiang. In: Economic Modelling. RePEc:eee:ecmode:v:96:y:2021:i:c:p:362-370.

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2021Analysis and forecast of Chinas energy consumption structure. (2021). Su, Bin ; Zhang, Minglong ; Zeng, Sheng ; Tao, Qingmei ; Luo, Song ; Liu, Jun ; Gao, Yuan. In: Energy Policy. RePEc:eee:enepol:v:159:y:2021:i:c:s030142152100495x.

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2021A multivariate grey prediction model based on energy logistic equation and its application in energy prediction in China. (2021). Pang, Xinyu ; Duan, Huiming. In: Energy. RePEc:eee:energy:v:229:y:2021:i:c:s0360544221009646.

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2022Forecasting automobile gasoline demand in Australia using machine learning-based regression. (2022). Hensher, David A ; Zhou, BO ; Li, Zheng. In: Energy. RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025603.

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2021Gold, platinum and the predictability of bond risk premia. (2021). Wohar, Mark ; GUPTA, RANGAN ; Demirer, Riza ; Bouri, Elie. In: Finance Research Letters. RePEc:eee:finlet:v:38:y:2021:i:c:s1544612319309079.

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2021Investor sentiment and dollar-pound exchange rate returns: Evidence from over a century of data using a cross-quantilogram approach. (2021). Shahzad, Syed Jawad Hussain ; GUPTA, RANGAN ; Olson, Eric ; Kyei, Clement Kweku ; Hussain, Syed Jawad. In: Finance Research Letters. RePEc:eee:finlet:v:38:y:2021:i:c:s1544612320301422.

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2021Modeling and predicting U.S. recessions using machine learning techniques. (2021). Vrontos, Ioannis D ; Galakis, John. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:647-671.

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2021Complexity, interconnectedness and stability: New perspectives applied to the European banking system. (2021). Bertrand, Jean-Louis ; Chabot, Miia. In: Journal of Business Research. RePEc:eee:jbrese:v:129:y:2021:i:c:p:784-800.

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2021Markets as networks evolving step by step: Relational Event Models for the interbank market. (2021). Vu, Duy Q ; Zappa, Paola . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:565:y:2021:i:c:s0378437120308554.

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2022EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks. (2022). Virag, Miklos ; Kristof, Tamas. In: Research in International Business and Finance. RePEc:eee:riibaf:v:61:y:2022:i:c:s0275531922000320.

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2022Artificial intelligence and machine learning in finance: A bibliometric review. (2022). Hammami, Helmi ; el Ammari, Anis ; Alshater, Muneer M ; Ahmed, Shamima. In: Research in International Business and Finance. RePEc:eee:riibaf:v:61:y:2022:i:c:s0275531922000344.

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2021Does Media Visibility Make EU Fiscal Rules More Effective?. (2021). Langedijk, Sven ; Mourre, Gilles ; Mohl, Philipp ; Hoogeland, Martijn. In: European Economy - Discussion Papers 2015 -. RePEc:euf:dispap:155.

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2021Divisia Monetary Aggregates for Russia: Money Demand, GDP Nowcasting, and the Price Puzzle. (2021). Tochkov, Kiril ; El-Shagi, Makram. In: CFDS Discussion Paper Series. RePEc:fds:dpaper:202101.

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2022International Natural Gas Price Trends Prediction with Historical Prices and Related News. (2022). Han, Xiaosong ; Fu, Jiasheng ; Liang, Yanchun ; Wang, Aoqing ; Guan, Renchu. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:10:p:3573-:d:814831.

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2021The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model. (2021). Zhang, Dan ; Seip, Knut Lehre. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:25-436:d:564333.

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2021Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research. (2021). Sathye, Milind ; Liu, Shuangzhe. In: Journal of Risk and Financial Management. RePEc:gam:jjrfmx:v:14:y:2021:i:10:p:474-:d:651714.

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2021Forecasting Commodity Prices Using the Term Structure. (2021). Qadan, Mahmoud ; Idilbi-Bayaa, Yasmeen. In: JRFM. RePEc:gam:jjrfmx:v:14:y:2021:i:12:p:585-:d:695354.

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2021Predicting Gold and Silver Price Direction Using Tree-Based Classifiers. (2021). Sadorsky, Perry. In: Journal of Risk and Financial Management. RePEc:gam:jjrfmx:v:14:y:2021:i:5:p:198-:d:546254.

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2022A Review on Machine Learning for Asset Management. (2022). Prats, Maria A ; Baixauli-Soler, Juan Samuel ; Garcia-Garcia, Alberto ; Mirete-Ferrer, Pedro M. In: Risks. RePEc:gam:jrisks:v:10:y:2022:i:4:p:84-:d:793303.

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2021An Analysis of Bank Financial Strength Ratings and Credit Rating Data. (2021). Ruddy, John A. In: Risks. RePEc:gam:jrisks:v:9:y:2021:i:9:p:155-:d:622521.

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2021An Auxiliary Index for Reducing Brent Crude Investment Risk—Evaluating the Price Relationships between Brent Crude and Commodities. (2021). Chen, Yu-Wei ; Hsiao, Mu-Chun ; Chiu, Chui-Yu. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:9:p:5050-:d:547153.

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2021Support Vector Machine Algorithms: An Application to Ship Price Forecasting. (2021). Syriopoulos, Theodore ; Karamanos, Ioannis ; Tsatsaronis, Michael . In: Computational Economics. RePEc:kap:compec:v:57:y:2021:i:1:d:10.1007_s10614-020-10032-2.

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2021A New Scalable Bayesian Network Learning Algorithm with Applications to Economics. (2021). Tsagris, Michail. In: Computational Economics. RePEc:kap:compec:v:57:y:2021:i:1:d:10.1007_s10614-020-10065-7.

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2021Textual Machine Learning: An Application to Computational Economics Research. (2021). POLEMIS, MICHAEL ; Eleftheriou, Konstantinos ; Dowling, Michael ; Alexakis, Christos. In: Computational Economics. RePEc:kap:compec:v:57:y:2021:i:1:d:10.1007_s10614-020-10077-3.

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2021A New Appraisal Model of Second-Hand Housing Prices in China’s First-Tier Cities Based on Machine Learning Algorithms. (2021). Li, Zhongwu ; Xu, Lulin. In: Computational Economics. RePEc:kap:compec:v:57:y:2021:i:2:d:10.1007_s10614-020-09973-5.

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2021Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States. (2021). Bahramian, Pejman ; Saliminezhad, Andisheh. In: Computational Economics. RePEc:kap:compec:v:58:y:2021:i:4:d:10.1007_s10614-020-09990-4.

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2022A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions. (2022). Schurle, Michael ; Paraschiv, Florentina ; Wahlstrom, Ranik Raaen. In: Computational Economics. RePEc:kap:compec:v:59:y:2022:i:3:d:10.1007_s10614-021-10113-w.

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2021Mapping the Global Business Cycle Network. (2021). Waelti, Sébastien ; Repele, Amalia. In: Open Economies Review. RePEc:kap:openec:v:32:y:2021:i:4:d:10.1007_s11079-020-09615-1.

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2021Machine learning in energy forecasts with an application to high frequency electricity consumption data. (2021). Wetzel, Heike ; Henze, Janosch ; Heilmann, Erik. In: MAGKS Papers on Economics. RePEc:mar:magkse:202135.

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2021The Expenditure Benchmark: Complex and Unsuitable for Independent Fiscal Institutions. (2021). Marinheiro, Carlos Fonseca. In: Comparative Economic Studies. RePEc:pal:compes:v:63:y:2021:i:3:d:10.1057_s41294-021-00151-6.

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2021“The Crooked Smile of TCR†: Banks’ Solvency and Restructuring Costs in the European Banking Industry. (2021). Karczmarczyk, Maciej ; Jackowicz, Krzysztof ; Iwanicz-Drozdowska, Magorzata. In: SAGE Open. RePEc:sae:sagope:v:11:y:2021:i:3:p:21582440211045962.

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2021Forging a new alliance between economics and engineering. (2021). Mariotti, Sergio. In: Economia e Politica Industriale: Journal of Industrial and Business Economics. RePEc:spr:epolin:v:48:y:2021:i:4:d:10.1007_s40812-021-00187-w.

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2021The effect of hazard shock and disclosure information on property and land prices: a machine-learning assessment in the case of Japan. (2021). Peng, Ti-Ching. In: Review of Regional Research: Jahrbuch für Regionalwissenschaft. RePEc:spr:jahrfr:v:41:y:2021:i:1:d:10.1007_s10037-020-00148-1.

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2021Fiscal rules’ compliance and Social Welfare.. (2021). Baret, Kea. In: Working Papers of BETA. RePEc:ulp:sbbeta:2021-38.

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2021Fiscal rules’ compliance and Social Welfare.. (2021). Baret, Kea. In: Working Papers of BETA. RePEc:ulp:sbbeta:2021-50.

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2021Model selection for one?day?ahead AUD/USD, AUD/EUR forecasts. (2021). Imam, Tasadduq. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:26:y:2021:i:2:p:1808-1824.

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2022A two?stage Bayesian network model for corporate bankruptcy prediction. (2022). Hua, Shan ; Zhai, Jia ; Liu, Xiaoquan ; Cao, YI. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:27:y:2022:i:1:p:455-472.

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2022Forecasting carbon price using a multi?objective least squares support vector machine with mixture kernels. (2022). Chevallier, Julien ; Wei, Yiming ; Wang, Ping ; Ye, Shunxin ; Zhu, Bangzhu. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:1:p:100-117.

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Works by Theophilos Papadimitriou:


YearTitleTypeCited
2013Fiscal shocks and asymmetric effects: a comparative analysis In: Papers.
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2015Fiscal shocks and asymmetric effects: A comparative analysis.(2015) In: The Journal of Economic Asymmetries.
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2017Forecasting the U.S. Real House Price Index In: Papers.
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2015Forecasting the U.S. real house price index.(2015) In: Economic Modelling.
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2014Forecasting the U.S. Real House Price Index.(2014) In: Working Papers.
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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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2013Complex Networks and Banking Systems Supervision In: Working Papers Series.
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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.
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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.
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article30
2018Forecasting bank failures and stress testing: A machine learning approach In: International Journal of Forecasting.
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article15
2014Public debt and private consumption in OECD countries In: The Journal of Economic Asymmetries.
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article6
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.
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2014Forecasting bank credit ratings In: Journal of Risk Finance.
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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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2021Forecasting Natural Gas Spot Prices with Machine Learning In: Energies.
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2022Emerging Trends in Energy Economics In: Energies.
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2018Oil Market Efficiency under a Machine Learning Perspective In: Forecasting.
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2020Forecasting Credit Ratings of EU Banks In: IJFS.
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2022Supervision of Banking Networks Using the Multivariate Threshold-Minimum Dominating Set (mT-MDS) In: JRFM.
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2021Forecasting the Stability and Growth Pact compliance using Machine Learning 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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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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2015Yield Curve and Recession Forecasting in a Machine Learning Framework In: Computational Economics.
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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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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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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.
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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.
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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.
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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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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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2016The Term Premium as a Leading Macroeconomic Indicator In: Working Papers.
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2017Macroeconomic Uncertainty, Growth and Inflation in the Eurozone: A Causal Approach In: Working Papers.
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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.
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2014A Novel Banking Supervision Method using the Minimum Dominating Set In: Working Paper series.
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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.
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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.
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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.
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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.
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2012Optimum Currency Areas within the US and Canada a Data Analysis Approach In: DUTH Research Papers in Economics.
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2012Directional forecasting in financial time series using support vector machines: The USD/Euro exchange rate In: DUTH Research Papers in Economics.
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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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2013Asymmetric Fiscal Policy Shocks In: DUTH Research Papers in Economics.
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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.
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