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Ahelegbey, Daniel Felix and Giudici, Paolo (2019): Tree Networks to Assess Financial Contagion.
Ahelegbey, Daniel Felix and Giudici, Paolo and Hadji-Misheva, Branka (2019): Factorial Network Models To Improve P2P Credit Risk Management. Forthcoming in:
Ahelegbey, Daniel Felix and Giudici, Paolo and Hadji-Misheva, Branka (2018): Latent Factor Models for Credit Scoring in P2P Systems. Forthcoming in: Physica A: Statistical Mechanics and its Applications No. 522 (10 February 2019): pp. 112-121.
Ando, Tomohiro and Bai, Jushan (2018): Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity.
BHANDARI, AVISHEK (2020): Long Memory and Correlation Structures of Select Stock Returns Using Novel Wavelet and Fractal Connectivity Networks.
Bai, Jushan and Li, Kunpeng (2017): Practical notes on panel data models with interactive effects.
Bai, Jushan and Li, Kunpeng and Lu, Lina (2014): Estimation and inference of FAVAR models.
Barnett, William A. and Tang, Biyan (2015): Chinese Divisia monetary index and GDP nowcasting.
Bhatt, Vipul and Kishor, N. Kundan (2021): (A)Synchronous Housing Markets of Global Cities.
Brummelhuis, Raymond and Luo, Zhongmin (2017): CDS Rate Construction Methods by Machine Learning Techniques.
Bukvić, Rajko (2017): Примена индекса Линда у истраживању концентрације и конкуренције у банковном сектору Србије. Published in: Ekonomska politika i razvoj, Ekonomski fakultet u Beogradu, Katedra za ekonomsku politiku i razvoj, Beograd (2017): pp. 73-94.
Bukvić, Rajko (2020): Концентрация и конкуренция в современном банковском секторе Сербии: анализ индексов концентрации. Published in: Вестник НГИЭИ No. 5 (2020): pp. 63-79.
Bukvić, Rajko (2020): Концентрация и конкуренция в современном банковском секторе Сербии: анализ индексов концентрации. Published in: Вестник НГИЭИ No. 5 (2020): pp. 63-79.
Bukvić, Rajko (2017): Concentration and Competition in Serbian Banking Sector. Published in: The Scientific Journal of Cahul State University "Bogdan Petriceicu Hasdeu": Economic and Engineering Studies No. 2 (2017): pp. 4-12.
Bukvić, Rajko (2020): Concentration and Competition in Serbian Banking Sector in the Period 2016–2018. Published in: Економика , Vol. 66, No. 2 (2020): pp. 17-35.
Bukvić, Rajko (2019): Evolution and Current Status of the Competitive Environment in the Serbian Banking Sector: Concentration Indices Analysis. Published in: Igor Janev (ed.) Serbia: Current Political, Economic and Social Issues and Challenges, Nova Science Publishers, Inc., New York, 2019 (2019): pp. 23-42.
Bukvić, Rajko (2020): Measuring of Concentration and Competition: Serbian Banking Sector. Published in: Synaxa No. 6-7 (2020): pp. 65-90.
Bukvić, Rajko (2002): Oblici konkurencije u prehrambenoj industriji Jugoslavije. Published in: Proizvodnja hrane – činilac regionalne integracije na Balkanu, Beograd, 2002 (9 December 2002): pp. 129-141.
Bukvić, Rajko (2002): Primena klaster analize u istraživanju tržišnih struktura u jugoslovenskoj prehrambenoj industriji. Published in: Statistička revija (Statistical Review) , Vol. 51, No. 1–4 (2002): pp. 56-70.
Bukvić, Rajko (1994): Proces svojinske transformacije u privredi Srbije i problem njegovog sagledavanja. Published in: Zbornik radova sa Naučnog skupa Institucionalna infrastruktura u tranziciji ka tržišnoj privredi, Institut društvenih nauka – Centar za ekonomska istraživanja, Beograd, 1994, str. 82–100. (1994): pp. 82-100.
Bukvić, Rajko and Pavlović, Radica and Gajić, Аlеksаndаr M. (2014): Possibilities of Application of the Index Concentration of Linda in Small Economy: Example of Serbian Food Industries. Published in: Annals of the Oradea University. Fascicle of Management and Technological Engineering , Vol. 23 (13, No. 3 (2014): pp. 159-164.
Byrne, Joseph P and Ibrahim, Boulis Maher and Sakemoto, Ryuta (2016): Common Information in Carry Trade Risk Factors.
Catapano, Cristina and Cesaroni, Tatiana and Fontana, Alessandro and Monacelli, Daniela (2008): L'individuazione di un benchmark per il fabbisogno di spesa dei comuni italiani: un'analisi per gruppi omogenei.
Chadwick, Meltem (2010): Modelling Time-varying Bond Risk Premia for Utilities Industry.
Chen, Siyan and Desiderio, Saul (2018): Factor analysis with a single common factor.
Chu, Ba (2017): Composite Quasi-Likelihood Estimation of Dynamic Panels with Group-Specific Heterogeneity and Spatially Dependent Errors.
Cobb, Marcus P A (2017): Forecasting Economic Aggregates Using Dynamic Component Grouping.
Cui, Guowei and Sarafidis, Vasilis and Yamagata, Takashi (2020): IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude Toward Risk.
De Luca, Giovanni and Zuccolotto, Paola (2013): A Conditional Value-at-Risk Based Portfolio Selection With Dynamic Tail Dependence Clustering.
Diakantoni, Antonia and Escaith, Hubert (2014): Trade in tasks, tariff policy and effective protection rates.
Dmitriy, Skrypnik and Marina, Shakleina (2019): Counter sanctions and well-being population of Russia: econometric analyses.
Dąbrowski, Marek A. and Papież, Monika and Śmiech, Sławomir (2019): Classifying de facto exchange rate regimes of financially open and closed economies: A statistical approach.
Elrod, Terry and Keane, Michael (1995): A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data. Published in: Journal of Marketing Research , Vol. 32, (February 1995): pp. 1-16.
Escaith, Hubert (2014): Exploring the policy dimensions of trade in value-added.
FORTES, Roberta and Le Guenedal, Theo (2020): Tracking ECB's communication: Perspectives and Implications for Financial Markets.
Fan, Jianqing and Liao, Yuan and Shi, Xiaofeng (2013): Risks of large portfolios.
Ferreira-Lopes, Alexandra and Sousa, Cândida and Carvalho, Helena and Crespo, Nuno (2013): Trade Protectionism and Intra-industry Trade: A USA - EU Comparison.
Ferreira-Lopes, Alexandra and Sousa, Cândida and Carvalho, Helena and Crespo, Nuno (2013): Trade Protectionism and Intra-industry Trade: A USA - EU Comparison.
Gawlik, Remigiusz (2010): Managerial Decision Making in Geopolitically Turbulent Environments. Published in: Generating Innovative Solutions to Recurring Problems in the Global Business Environment: A Multi-, Inter-, and Trans Disciplinary Approach to Formulating and Maintaining a Competitive Organizational Edge (2010): pp. 214-221.
Gawlik, Remigiusz (2008): Managing Innovativeness in International Enterprises. Published in: Global and Regional Challenges for the 21st Century Economies (2008): pp. 97-105.
Gawlik, Remigiusz (2008): Preliminary Criteria Reduction for the Application of Analytic Hierarchy Process Method. Published in: Evolution and Revolution in the Global Economy: Enhancing Innovation and Competitiveness Worldwide (2008): pp. 366-374.
Gawlik, Remigiusz (2009): Strategic Decision Making in Times of Global Financial Crisis. Published in: Business Strategies and Technological Innovations for Sustainable Development: Creating Global Prosperity for Humanity (2009): pp. 431-439.
Gawlik, Remigiusz (2012): The Use of Analytic Hierarchy Process to Analyse International Corporations’ Operating Environment. Published in: Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie: Ekonomia No. 891 (2012): pp. 19-30.
Giovannelli, Alessandro and Proietti, Tommaso (2014): On the Selection of Common Factors for Macroeconomic Forecasting.
Halkos, George and Gkargkavouzi, Anastasia and Matsiori, Steriani (2018): A multi-dimensional measure of environmental behavior: Exploring the predictive power of connectedness to nature, ecological worldview and environmental concern.
KOUADIO, Hugues (2012): Droit foncier, productivité et investissement dans l'agriculture : cas du café en Côte d'Ivoire.
Katsafados, Apostolos G. and Leledakis, George N. and Pyrgiotakis, Emmanouil G. and Androutsopoulos, Ion and Fergadiotis, Manos (2021): Machine Learning in U.S. Bank Merger Prediction: A Text-Based Approach.
Kim, Hyeongwoo and Ko, Kyunghwan (2018): Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach.
Kuusela, Annika and Hännikäinen, Jari (2017): What do the shadow rates tell us about future inflation?
Kuzmin, Anton (1971): A Structural Model of Exchange Rate Dynamics. Published in: Review of Business and Economics Studies , Vol. 2, No. 3 (2014): 86- 92.
Ledenyov, Dimitri O. and Ledenyov, Viktor O. (2013): Tracking and replication of hedge fund optimal investment portfolio strategies in global capital markets in presence of nonlinearities.
Leung, Yee and Fischer, Manfred M. and Wu, Wei-Zhi and Mi, Ju-Sheng (2008): A rough set approach for the discovery of classification rules in interval-valued information systems. Published in: International Journal of Approximate Reasoning , Vol. 47, No. 2 (2008): pp. 233-246.
Li, Kunpeng and Li, Qi and Lu, Lina (2016): Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models. Forthcoming in:
Lonsdale, Chris and Sanderson, Joe and Watson, Glyn and Peng, Fei (2016): Beyond intentional trust: supplier opportunism and management control mechanisms in public sector procurement and contracting. Published in: Policy & Politics , Vol. 44, (April 2016)
Lopez, Claude and Butler, Brittney (2021): The Community Explorer: Informing Policy with County-Level Data.
Mansur, Alfan (2018): Measuring Systemic Risk on Indonesia’s Banking System. Published in: Kajian Ekonomi dan Keuangan , Vol. 2, No. 2 (4 June 2018): pp. 94-105.
Marconi, Gabriele (2014): European higher education policies and the problem of estimating a complex model with a small cross-section. Published in: ROA Dissertation Series No. 19 (21 January 2015)
Matkovskyy, Roman (2013): To the Problem of Financial Safety Estimation: the Index of Financial Safety of Turkey.
Mazurek, Jiří (2014): Examination of European Union Economic Cohesion: A Cluster Analysis Approach.
Melis, Gabriella and Elliot, Mark and Shryane, Nick (2014): Environmental concern over time: evidence from the longitudinal analysis of a British cohort study from 1991 to 2008. Published in: Social Science Quarterly , Vol. 4, No. 95 (2014): pp. 905-919.
Mendez, Carlos and Gonzales, Erick (2020): Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach.
Pennoni, Fulvia and Romeo, Isabella (2016): Latent Markov and growth mixture models for ordinal individual responses with covariates: a comparison.
Pincheira, Pablo and Hardy, Nicolás (2019): Forecasting Aluminum Prices with Commodity Currencies.
Piątkowski, Marcin J. (2020): Expectations and Challenges in the Labour Market in the Context of Industrial Revolution 4.0. The Agglomeration Method-Based Analysis for Poland and Other EU Member States. Published in: Sustainability , Vol. 13, No. 12 (July 2020): pp. 1-30.
Rezankova, Hana and Zelinsky, Tomas (2014): Faktory míry materiální deprivace v České republice a jejich vztahy k typu domácnosti. Published in: Ekonomicky casopis , Vol. 62, No. 4 (2014): pp. 394-410.
Sahoo, Bimal and Neog, Bhaskar Jyoti (2015): Heterogeneity and participation in Informal employment among non-cultivator workers in India.
Skribans, Valerijs (2012): European Union Economy System Dynamic Model Development. Published in: Proceedings of the 30th International Conference of the System Dynamics Society (2012): pp. 3687-3697.
Soybilgen, Baris (2018): Identifying US business cycle regimes using dynamic factors and neural network models.
Thum, Anna-Elisabeth (2013): Psychology in econometric models: conceptual and methodological foundations.
van der Plaat, Mark T. (2021): How to Measure Securitization: A Structural Equation Approach.
Watson, Glyn and Lonsdale, Chris and Peng, Fei and Sanderson, Joe (2012): Lessons for Procurement and Contract Management Practice in the Public Sector: Evidence from a Quantitative Study.
Zaharia, Marian and Gogonea, Rodica- Manuela and Balacescu, Aniela (2020): Territorial dimension of wheat production in Romania. Published in: Agrarian Economy and Rural Development - Realities and Perspectives for Romania, 2020 , Vol. 11, No. ISSN 2668-0955, ISSN-L 2285-6803 (19 November 2020): pp. 83-90.
Álvarez de Toledo, Pablo and Núñez, Fernando and Usabiaga, Carlos (2013): Labour Market Segmentation, Clusters, Mobility and Unemployment Duration with Individual Microdata.
Śmiech, Sławomir (2014): Co-movement of commodity prices – results from dynamic time warping classification.
