Eva Ferreira

Personal Details

First Name:	Eva
Middle Name:
Last Name:	Ferreira
Suffix:
RePEc Short-ID:	pfe145

Affiliation

Departamento de Economía Aplicada III (Econometría y Estadística)
Facultad de Economía y Empresa
Universidad del País Vasco - Euskal Herriko Unibertsitatea

Bilbao, Spain
https://www.ehu.eus/es/web/ea3
RePEc:edi:deehues (more details at EDIRC)

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.

Working papers

1. E. Ferreira & S. Orbe & J. Ascorbebeitia & B. 'Alvarez Pereira & E. Estrada, 2021. "Loss of structural balance in stock markets," Papers 2104.06254, arXiv.org.

   Cited by:

   1. Paolo Bartesaghi & Fernando Diaz-Diaz & Rosanna Grassi & Pierpaolo Uberti, 2024. "Global Balance and Systemic Risk in Financial Correlation Networks," Papers 2407.14272, arXiv.org.

2. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
   • Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.

   Cited by:

   1. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
      • Fantazzini, Dean & Pushchelenko, Julia & Mironenkov, Alexey & Kurbatskii, Alexey, 2021. "Forecasting internal migration in Russia using Google Trends: Evidence from Moscow and Saint Petersburg," MPRA Paper 110452, University Library of Munich, Germany.
   2. E. Ferreira & S. Orbe & J. Ascorbebeitia & B. 'Alvarez Pereira & E. Estrada, 2021. "Loss of structural balance in stock markets," Papers 2104.06254, arXiv.org.
   3. Casas Villalba, Maria Isabel, 2020. "Adaptative predictability of stock market returns," DES - Working Papers. Statistics and Econometrics. WS 31648, Universidad Carlos III de Madrid. Departamento de Estadística.
   4. Isabel Casas & Xiuping Mao & Helena Veiga, 2018. "Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium," CREATES Research Papers 2018-10, Department of Economics and Business Economics, Aarhus University.
   5. Fu, Zhonghao & Hong, Yongmiao & Su, Liangjun & Wang, Xia, 2023. "Specification tests for time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 235(2), pages 720-744.
   6. Armin Pourkhanali & Jonathan Keith & Xibin Zhang, 2021. "Conditional Heteroscedasticity Models with Time-Varying Parameters: Estimation and Asymptotics," Monash Econometrics and Business Statistics Working Papers 15/21, Monash University, Department of Econometrics and Business Statistics.
   7. Loïc Maréchal, 2021. "Do economic variables forecast commodity futures volatility?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1735-1774, November.

3. Urtzi Ayesta & M Erausquin & E Ferreira & P Jacko, 2016. "Optimal Dynamic Resource Allocation to Prevent Defaults," Post-Print hal-01300681, HAL.

   Cited by:

   1. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.

Articles

1. Jone Ascorbebeitia & Eva Ferreira & Susan Orbe, 2022. "Testing conditional multivariate rank correlations: the effect of institutional quality on factors influencing competitiveness," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(4), pages 931-949, December.

   Cited by:

   1. Rutger van der Spek & Alexis Derumigny, 2022. "Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions," Papers 2204.03285, arXiv.org.

2. Jone Ascorbebeitia & Eva Ferreira & Susan Orbe, 2022. "The Effect of Dependence on European Market Risk. A Nonparametric Time Varying Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 913-923, April.

   Cited by:

   1. Marek Vochozka & Svatopluk Janek & Lenka Širáňová, 2023. "Geopolitical deadlock and phosphate shortfall behind the price hike? Evidence from Moroccan commodity markets," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(8), pages 301-308.

3. Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.
   • Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
   See citations under working paper version above.
4. Eva Ferreira & Susan Orbe, 2018. "Why are there time-varying comovements in the European stock market?," The European Journal of Finance, Taylor & Francis Journals, vol. 24(10), pages 828-848, July.

   Cited by:

   1. Alonso Conde, Ana B. & Rojo Suárez, Javier, 2022. "Trends in the explanatory power of factor-based asset pricing models in determining the cost of capital," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
   2. Fenghua Wen & Kaiyan Weng & Wei-Xing Zhou, 2020. "Measuring the contribution of Chinese financial institutions to systemic risk: an extended asymmetric CoVaR approach," Risk Management, Palgrave Macmillan, vol. 22(4), pages 310-337, December.

5. M. V. Esteban & E. Ferreira & S. Orbe-Mandaluniz, 2015. "Nonparametric methods for estimating and testing for constant betas in asset pricing models," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2577-2607, May.

   Cited by:

   1. Alonso Conde, Ana B. & Rojo Suárez, Javier, 2022. "Trends in the explanatory power of factor-based asset pricing models in determining the cost of capital," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
   2. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
      • Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.

6. Ferreira, Eva & Gil-Bazo, Javier & Orbe, Susan, 2011. "Conditional beta pricing models: A nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3362-3382.
   • Ferreira García, María Eva & Gil Bazo, Javier & Orbe Mandaluniz, Susan, 2010. "Conditional beta pricing models: A nonparametric approach," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).

   Cited by:

   1. Szczepocki Piotr, 2019. "Clustering Companies Listed on the Warsaw Stock Exchange According to Time-Varying Beta," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(2), pages 63-79, June.
   2. E. Ferreira & S. Orbe & J. Ascorbebeitia & B. 'Alvarez Pereira & E. Estrada, 2021. "Loss of structural balance in stock markets," Papers 2104.06254, arXiv.org.
   3. Mats Wilhelmsson & Jianyu Zhao, 2018. "Risk Assessment of Housing Market Segments: The Lender’s Perspective," JRFM, MDPI, vol. 11(4), pages 1-22, October.
   4. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
      • Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.
   5. Cai, Zongwu & Ren, Yu & Yang, Bingduo, 2015. "A semiparametric conditional capital asset pricing model," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 117-126.
   6. Zongwu Cai & Ying Fang & Qiuhua Xu, 2020. "Testing Capital Asset Pricing Models using Functional-Coefficient Panel Data Models with Cross-Sectional Dependence," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202009, University of Kansas, Department of Economics, revised Jul 2020.
   7. Cai, Zongwu & Fang, Ying & Xu, Qiuhua, 2022. "Testing capital asset pricing models using functional-coefficient panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 227(1), pages 114-133.
   8. Fu, Zhonghao & Hong, Yongmiao & Su, Liangjun & Wang, Xia, 2023. "Specification tests for time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 235(2), pages 720-744.
   9. M. V. Esteban & E. Ferreira & S. Orbe-Mandaluniz, 2015. "Nonparametric methods for estimating and testing for constant betas in asset pricing models," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2577-2607, May.
   10. Sun, Yang & Zhang, Xuan & Zhang, Zhekai, 2022. "The reduced-rank beta in linear stochastic discount factor models," International Review of Financial Analysis, Elsevier, vol. 84(C).
   11. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).

7. Eva Ferreira & M. Isabel Martínez Serna & Eliseo Navarro & Gonzalo Rubio, 2008. "Economic Sentiment and Yield Spreads in Europe," European Financial Management, European Financial Management Association, vol. 14(2), pages 206-221, March.

   Cited by:

   1. Fernandez-Perez, Adrian & Fernández-Rodríguez, Fernando & Sosvilla-Rivero, Simón, 2014. "The term structure of interest rates as predictor of stock returns: Evidence for the IBEX 35 during a bear market," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 21-33.
      • Adrian Fernandez-Perez & Fernando Fernández-Rodríguez & Simón Javier Sosvilla Rivero, 2013. "The term structure of interest rates as predictor of stock returns: Evidence for the IBEX 35 during a bear market," Documentos de Trabajo del ICAE 2013-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
   2. Andrzej Cieślik & Mahdi Ghodsi, 2021. "Economic Sentiment Indicators and Foreign Direct Investment: Empirical Evidence from European Union Countries," wiiw Working Papers 203, The Vienna Institute for International Economic Studies, wiiw.
      • Cieślik, Andrzej & Ghodsi, Mahdi, 2021. "Economic sentiment indicators and foreign direct investment: Empirical evidence from European Union countries," International Economics, Elsevier, vol. 168(C), pages 56-75.
      • Andrzej Cieslik & Mahdi Ghodsi, 2021. "Economic sentiment indicators and foreign direct investment: Empirical evidence from European Union countries," International Economics, CEPII research center, issue 168, pages 56-75.
   3. Gupta, Rangan & Risse, Marian & Volkman, David A. & Wohar, Mark E., 2019. "The role of term spread and pattern changes in predicting stock returns and volatility of the United Kingdom: Evidence from a nonparametric causality-in-quantiles test using over 250 years of data," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 391-405.
      • Rangan Gupta & Marian Risse & David A. Volkman & Mark E. Wohar, 2017. "The Role of Term Spread and Pattern Changes in Predicting Stock Returns and Volatility of the United Kingdom: Evidence from a Nonparametric Causality-in-Quantiles Test Using Over 250 Years of Data," Working Papers 201755, University of Pretoria, Department of Economics.
   4. Keiber, Karl Ludwig & Samyschew, Helene, 2016. "The pricing of sentiment risk in European stock markets," Discussion Papers 384, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
   5. André Filipe Guedes Almeida & Gabriel Caldas Montes, 2020. "Effects of crime and violence on business confidence: evidence from Rio de Janeiro," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1669-1688, May.
   6. Dimitrios Subeniotis & Dimitrios Papadopoulos & Ioannis Tampakoudis & Athina Tampakoudi, 2011. "How Inflation, Market Capitalization, Industrial Production and the Economic Sentiment Indicator Affect the EU-12 Stock Markets," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 105-120.
   7. Sebastian Heiden & Christian Klein & Bernhard Zwergel, 2013. "Beyond Fundamentals: Investor Sentiment and Exchange Rate Forecasting," European Financial Management, European Financial Management Association, vol. 19(3), pages 558-578, June.
   8. Hyde, Stuart & Sherif, Mohamed, 2010. "Consumption asset pricing and the term structure," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(1), pages 99-109, February.

8. Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2005. "Nonparametric estimation of time varying parameters under shape restrictions," Journal of Econometrics, Elsevier, vol. 126(1), pages 53-77, May.
   • Orbe Mandaluniz, Susan & Ferreira García, María Eva & Rodríguez Poo, Juan M., 2001. "Nonparametric estimation of time varying parameters under shape restrictions," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).

   Cited by:

   1. Petr Mariel & Susan Orbe & Carlos Rodríguez, 2009. "The Knowledge‐Capital Model Of Fdi: A Time Varying Coefficients Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(2), pages 196-212, May.
   2. Heejoon Han & Na Kyeong Lee, 2018. "Modeling the Dynamics between Stock Price and Dividend: An Endogenous Regime Switching Approach," Korean Economic Review, Korean Economic Association, vol. 34, pages 213-235.
   3. George Kapetanios, 2005. "Estimating Deterministically Time-Varying Variances in Regression Models," Working Papers 540, Queen Mary University of London, School of Economics and Finance.
      • Kapetanios, George, 2007. "Estimating deterministically time-varying variances in regression models," Economics Letters, Elsevier, vol. 97(2), pages 97-104, November.
   4. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
   5. Dennis Kristensen, 2008. "Uniform Convergence Rates of Kernel Estimators with Heterogenous, Dependent Data," CREATES Research Papers 2008-37, Department of Economics and Business Economics, Aarhus University.
      • Kristensen, Dennis, 2009. "Uniform Convergence Rates Of Kernel Estimators With Heterogeneous Dependent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1433-1445, October.
   6. Frazier, David T. & Koo, Bonsoo, 2021. "Indirect inference for locally stationary models," Journal of Econometrics, Elsevier, vol. 223(1), pages 1-27.
   7. Giraitis, Liudas & Kapetanios, George & Price, Simon, 2014. "Adaptive forecasting in the presence of recent and ongoing structural change," Bank of England working papers 490, Bank of England.
      • Liudas Giraitis & George Kapetanios & Simon Price, 2012. "Adaptive Forecasting in the Presence of Recent and Ongoing Structural Change," Working Papers 691, Queen Mary University of London, School of Economics and Finance.
      • Giraitis, Liudas & Kapetanios, George & Price, Simon, 2013. "Adaptive forecasting in the presence of recent and ongoing structural change," Journal of Econometrics, Elsevier, vol. 177(2), pages 153-170.
      • Liudas Giraitis & George Kapetanios & Simon Price, 2012. "Adaptive Forcasting in the Presence of Recent and Ongoing Structural Change," CAMA Working Papers 2012-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
   8. Casas Villalba, Maria Isabel, 2020. "Adaptative predictability of stock market returns," DES - Working Papers. Statistics and Econometrics. WS 31648, Universidad Carlos III de Madrid. Departamento de Estadística.
   9. Russell Davidson & Niels S. Grønborg, 2018. "Time-varying parameters: New test tailored to applications in finance and macroeconomics," CREATES Research Papers 2018-22, Department of Economics and Business Economics, Aarhus University.
   10. Bernoth, Kerstin & Erdogan, Burcu, 2012. "Sovereign bond yield spreads: A time-varying coefficient approach," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 639-656.
       • Bernoth, Kerstin & Erdogan, Burcu, 2010. "Sovereign bond yield spreads: a time-varying coefficient approach," Discussion Papers 289, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
       • Kerstin Bernoth & Burcu Erdogan, 2010. "Sovereign Bond Yield Spreads: A Time-Varying Coefficient Approach," Discussion Papers of DIW Berlin 1078, DIW Berlin, German Institute for Economic Research.
   11. Ferreira, Eva & Gil-Bazo, Javier & Orbe, Susan, 2008. "Nonparametric estimation of conditional beta pricing models," DEE - Working Papers. Business Economics. WB wb082403, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
   12. David T. Frazier & Bonsoo Koo, 2020. "Indirect Inference for Locally Stationary Models," Monash Econometrics and Business Statistics Working Papers 30/20, Monash University, Department of Econometrics and Business Statistics.
   13. Martín Rodríguez, Gloria & Cáceres Hernández, José Juan, 2010. "Splines and the proportion of the seasonal period as a season index," Economic Modelling, Elsevier, vol. 27(1), pages 83-88, January.
   14. Eklund, J. & Kapetanios, G. & Price, S., 2011. "Forecasting in the presence of recent structural change," Working Papers 11/05, Department of Economics, City University London.
       • Jana Eklund & George Kapetanios & Simon Price, 2011. "Forecasting in the presence of recent structural change," CAMA Working Papers 2011-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Eklund, Jana & Kapetanios, George & Price, Simon, 2010. "Forecasting in the presence of recent structural change," Bank of England working papers 406, Bank of England.
   15. Kapetanios, George, 2008. "Bootstrap-based tests for deterministic time-varying coefficients in regression models," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 534-545, December.
   16. Ferreira, Eva & Gil-Bazo, Javier & Orbe, Susan, 2011. "Conditional beta pricing models: A nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3362-3382.
       • Ferreira García, María Eva & Gil Bazo, Javier & Orbe Mandaluniz, Susan, 2010. "Conditional beta pricing models: A nonparametric approach," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   17. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
   18. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
       • Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.
   19. Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2003. "An algorithm to estimate time-varying parameter SURE models under different types of restriction," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 363-383, March.
   20. Isabel Casas & Jiti Gao & Shangyu Xie, 2018. "Modelling Time-Varying Income Elasticities of Health Care Expenditure for the OECD," CREATES Research Papers 2018-29, Department of Economics and Business Economics, Aarhus University.
       • Isabel Casas & Jiti Gao & Shangyu Xie, 2018. "Modelling time-varying income elasticities of health care expenditure for the OECD," Monash Econometrics and Business Statistics Working Papers 22/18, Monash University, Department of Econometrics and Business Statistics.
   21. George Kapetanios & Tony Yates, 2014. "Evolving UK and US macroeconomic dynamics through the lens of a model of deterministic structural change," Empirical Economics, Springer, vol. 47(1), pages 305-345, August.
       • Kapetanios, George & Yates, Tony, 2011. "Evolving UK and US macroeconomic dynamics through the lens of a model of deterministic structural change," Bank of England working papers 434, Bank of England.
   22. Weichi Wu & Zhou Zhou, 2017. "Nonparametric Inference for Time-Varying Coefficient Quantile Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 98-109, January.
   23. Mariel Chladkova, Petr & Orbe Mandaluniz, Susan & Rodríguez González, Carlos, 2007. "A time varying coefficient model for panel data: Foreign Direct Investment in European OECD countries," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   24. Cizek, P. & Haerdle, W. & Spokoiny, V., 2007. "Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models," Discussion Paper 2007-35, Tilburg University, Center for Economic Research.
       • Čížek, Pavel & Härdle, Wolfgang Karl & Spokoiny, Vladimir, 2008. "Adaptive pointwise estimation in time-inhomogeneous time-series models," SFB 649 Discussion Papers 2008-002, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
       • Cizek, P. & Haerdle, W. & Spokoiny, V., 2007. "Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models," Other publications TiSEM a797e4a8-12cf-4ac5-9fae-b, Tilburg University, School of Economics and Management.
   25. George Kapetanios, 2007. "Testing for Strict Stationarity," Working Papers 602, Queen Mary University of London, School of Economics and Finance.
   26. Gabe Chandler & Wolfgang Polonik, 2017. "Residual Empirical Processes and Weighted Sums for Time-Varying Processes with Applications to Testing for Homoscedasticity," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(1), pages 72-98, January.
   27. Samantha Leorato, 2008. "A refined Jensen’s inequality in Hilbert spaces and empirical approximations," CEIS Research Paper 134, Tor Vergata University, CEIS, revised 24 Nov 2008.
       • Leorato, S., 2009. "A refined Jensen's inequality in Hilbert spaces and empirical approximations," Journal of Multivariate Analysis, Elsevier, vol. 100(5), pages 1044-1060, May.
   28. Yih Su & Jing-Shiang Hwang, 2009. "A two-phase approach to estimating time-varying parameters in the capital asset pricing model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 79-89.
   29. Huazhen Lin & Hyokyoung G. Hong & Baoying Yang & Wei Liu & Yong Zhang & Gang-Zhi Fan & Yi Li, 2019. "Nonparametric Time-Varying Coefficient Models for Panel Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 548-566, December.
   30. Zhang, Ting, 2015. "Semiparametric model building for regression models with time-varying parameters," Journal of Econometrics, Elsevier, vol. 187(1), pages 189-200.
   31. Isabel Casas & Xiuping Mao & Helena Veiga, 2018. "Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium," CREATES Research Papers 2018-10, Department of Economics and Business Economics, Aarhus University.
   32. Chen, Bin, 2015. "Modeling and testing smooth structural changes with endogenous regressors," Journal of Econometrics, Elsevier, vol. 185(1), pages 196-215.
   33. Bin Chen & Kenwin Maung, 2020. "Time-varying Forecast Combination for High-Dimensional Data," Papers 2010.10435, arXiv.org.
   34. Chen, Bin & Maung, Kenwin, 2023. "Time-varying forecast combination for high-dimensional data," Journal of Econometrics, Elsevier, vol. 237(2).
   35. George Kapetanios, 2005. "Tests for Deterministic Parametric Structural Change in Regression Models," Working Papers 539, Queen Mary University of London, School of Economics and Finance.
   36. Kim, Kun Ho & Kim, Taejin, 2016. "Capital asset pricing model: A time-varying volatility approach," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 268-281.
   37. Martin-Rodriguez, Gloria & Caceres-Hernandez, Jose Juan, 2009. "The Proportion of the Seasonal Period as a Season Index in Weekly Agricultural Data," 2009 Conference, August 16-22, 2009, Beijing, China 49956, International Association of Agricultural Economists.
   38. Baillie, Richard T. & Kim, Kun Ho, 2015. "Was it risk? Or was it fundamentals? Explaining excess currency returns with kernel smoothed regressions," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 99-111.
   39. Fu, Zhonghao & Hong, Yongmiao & Su, Liangjun & Wang, Xia, 2023. "Specification tests for time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 235(2), pages 720-744.
   40. Cai, Zongwu, 2007. "Trending time-varying coefficient time series models with serially correlated errors," Journal of Econometrics, Elsevier, vol. 136(1), pages 163-188, January.
   41. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
       • Kashif Yousuf & Serena Ng, 2019. "Boosting High Dimensional Predictive Regressions with Time Varying Parameters," Papers 1910.03109, arXiv.org.
   42. Nieto Domenech, Belén & Orbe Mandaluniz, Susan & Zárraga Alonso, Ainhoa, 2011. "Time-Varying Beta Estimators in the Mexican Emerging Market," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   43. Zhou Zhou & Wei Biao Wu, 2010. "Simultaneous inference of linear models with time varying coefficients," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(4), pages 513-531, September.
   44. Xingcai Zhou & Guang Yang & Yu Xiang, 2022. "Quantile-Wavelet Nonparametric Estimates for Time-Varying Coefficient Models," Mathematics, MDPI, vol. 10(13), pages 1-15, July.

9. Eva Ferreira & Mónica Gago & Angel León & Gonzalo Rubio, 2005. "An empirical comparison of the performance of alternative option pricing models," Investigaciones Economicas, Fundación SEPI, vol. 29(3), pages 483-523, September.

   Cited by:

   1. Barr, Kanlaya Jintanakul, 2009. "The implied volatility bias and option smile: is there a simple explanation?," ISU General Staff Papers 200901010800002026, Iowa State University, Department of Economics.
   2. Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk, 2017. "Which Option Pricing Model Is the Best? HF Data for Nikkei 225 Index Options," Central European Economic Journal, Sciendo, vol. 4(51), pages 18-39.
      • Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk, 2017. "Which Option Pricing Model Is the Best? HF Data for Nikkei 225 Index Options," Central European Economic Journal, Sciendo, vol. 4(51), pages 18-39, December.
   3. Maciej Wysocki & Robert Ślepaczuk, 2020. "Artificial Neural Networks Performance in WIG20 Index Options Pricing," Working Papers 2020-19, Faculty of Economic Sciences, University of Warsaw.
   4. Ryszard Kokoszczyński & Natalia Nehrebecka & Paweł Sakowski & Paweł Strawiński & Robert Ślepaczuk, 2010. "Option Pricing Models with HF Data – a Comparative Study. The Properties of Black Model with Different Volatility Measures," Working Papers 2010-03, Faculty of Economic Sciences, University of Warsaw.

10. Ferreira, E. & Stute, W., 2004. "Testing for Differences Between Conditional Means in a Time Series Context," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 169-174, January.

    Cited by:

    1. Juan Carlos Escanciano & Carlos Velasco, 2006. "Testing the Martingale Difference Hypothesis Using Integrated Regression Functions," Faculty Working Papers 06/06, School of Economics and Business Administration, University of Navarra.
       • Escanciano, J. Carlos & Velasco, Carlos, 2006. "Testing the martingale difference hypothesis using integrated regression functions," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2278-2294, December.
    2. Aitor Ciarreta & María Espinosa, 2010. "Market power in the Spanish electricity auction," Journal of Regulatory Economics, Springer, vol. 37(1), pages 42-69, February.
       • Ciarreta Antuñano, Aitor & Espinosa Alejos, María Paz, 2005. "Market Power in the Spanish Electricity Auction," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
       • Aitor Ciarreta & María Paz Espinosa, 2003. "Market Power In The Spanish Wholesale Electricity Market," Working Papers. Serie AD 2003-22, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Aitor Ciarreta & María Paz Espinosa, 2006. "Demand Elasticity and Market Power in the Spanish Electricity Market," Working Papers 0606, Departament Empresa, Universitat Autònoma de Barcelona, revised Jun 2006.
    4. Hira L. Koul & Fang Li, 2020. "Comparing two nonparametric regression curves in the presence of long memory in covariates and errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(4), pages 499-517, May.
    5. Wenceslao González-Manteiga & Rosa Crujeiras, 2013. "An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 361-411, September.
    6. Juan Carlos Escanciano & Silvia Mayoral, 2007. "Data-Driven Smooth Tests for the Martingale Difference Hypothesis," Faculty Working Papers 01/07, School of Economics and Business Administration, University of Navarra.
       • Escanciano, Juan Carlos & Mayoral, Silvia, 2010. "Data-driven smooth tests for the martingale difference hypothesis," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1983-1998, August.
    7. Ciarreta Antuñano, Aitor & Espinosa Alejos, María Paz, 2005. "A Supply Function Competition Model for the Spanish Wholesale Electricity Market," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    8. Escanciano, Juan Carlos & Delgado, Miguel A., 2011. "Conditional stochastic dominance testing," UC3M Working papers. Economics we1138, Universidad Carlos III de Madrid. Departamento de Economía.

11. Eva Ferreira, 2004. "Beyond Single-Factor Affine Term Structure Models," Journal of Financial Econometrics, Oxford University Press, vol. 2(4), pages 565-591.

    Cited by:

    1. Ferreira, Eva & Gil-Bazo, Javier & Orbe, Susan, 2008. "Nonparametric estimation of conditional beta pricing models," DEE - Working Papers. Business Economics. WB wb082403, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    2. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
       • Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.
    3. Lourdes Gómez-Valle & Julia Martínez-Rodríguez, 2010. "Improving the term structure of interest rates: two-factor models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 275-287.

12. Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2003. "An algorithm to estimate time-varying parameter SURE models under different types of restriction," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 363-383, March.

    Cited by:

    1. Kapetanios, George, 2008. "Bootstrap-based tests for deterministic time-varying coefficients in regression models," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 534-545, December.
    2. Orbe Mandaluniz, Susan & Ferreira García, María Eva & Rodríguez Poo, Juan M., 2001. "Nonparametric estimation of time varying parameters under shape restrictions," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
       • Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2005. "Nonparametric estimation of time varying parameters under shape restrictions," Journal of Econometrics, Elsevier, vol. 126(1), pages 53-77, May.
    3. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    4. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
       • Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.
    5. Mauricio Calani & J. Rodrigo Fuentes & Klaus Schmidt-Hebbel, 2008. "A Systemic Approach to Money Demand Modeling," Working Papers Central Bank of Chile 512, Central Bank of Chile.
    6. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
       • Guohua Feng & Jiti Gao & Xiaohui Zhang, 2018. "Estimation of technical change and price elasticities: a categorical time–varying coefficient approach," Journal of Productivity Analysis, Springer, vol. 50(3), pages 117-138, December.
    7. Foschi, Paolo & Belsley, David A. & Kontoghiorghes, Erricos J., 2003. "A comparative study of algorithms for solving seemingly unrelated regressions models," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 3-35, October.

13. Jesus Orbe & Eva Ferreira & Vicente Nunez-Anton, 2002. "Length of time spent in Chapter 11 bankruptcy: a censored partial regression model," Applied Economics, Taylor & Francis Journals, vol. 34(15), pages 1949-1957.

    Cited by:

    1. Kose John & Mahsa S Kaviani & Lawrence Kryzanowski & Hosein Maleki, 2021. "Do Country-Level Creditor Protections Affect Firm-Level Debt Structure Concentration? [Why not a political Coase theorem? Social conflict, commitment, and politics]," Review of Finance, European Finance Association, vol. 25(6), pages 1677-1725.
    2. Stef, Nicolae & Ben Jabeur, Sami & Scherer, Robert F., 2022. "Time to resolve insolvency and political elections," International Review of Law and Economics, Elsevier, vol. 72(C).
    3. Aysun, Uluc, 2015. "Duration of bankruptcy proceedings and monetary policy effectiveness," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 295-302.
    4. Dewaelheyns, Nico & Van Hulle, Cynthia, 2009. "Filtering speed in a Continental European reorganization procedure," International Review of Law and Economics, Elsevier, vol. 29(4), pages 375-387, December.
    5. Goodwin, John & Routledge, James, 2021. "Determinants of the duration of the voluntary administration process: An unconditional quantile regression analysis," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).

14. Orbe, Jesus & Ferreira, Eva & Nunez-Anton, Vicente, 2001. "Modelling the duration of firms in Chapter 11 bankruptcy using a flexible model," Economics Letters, Elsevier, vol. 71(1), pages 35-42, April.

    Cited by:

    1. S. Balcaen & S. Manigart & H. Ooghe, 2009. "From distress to exit: determinants of the time to exit," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/588, Ghent University, Faculty of Economics and Business Administration.
       • Balcaen, S. & Manigart, S. & Ooghe, H., 2009. "From Distress to exit: determinants of the time to exit," Vlerick Leuven Gent Management School Working Paper Series 2009-12, Vlerick Leuven Gent Management School.
       • Sofie Balcaen & Sophie Manigart & Hubert Ooghe, 2011. "From distress to exit: determinants of the time to exit," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 407-446, August.
    2. Goodwin, John & Routledge, James, 2021. "Determinants of the duration of the voluntary administration process: An unconditional quantile regression analysis," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).
    3. Orbe Lizundia, Jesús María & Ferreira García, María Eva & Núñez Antón, Vicente Alfredo, 2001. "Analysis of Length of Time Spent in Chapter 11 Bankruptcy," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).

15. Ferreira, Eva & Nunez-Anton, Vicente & Rodriguez-Poo, Juan, 2000. "Semiparametric approaches to signal extraction problems in economic time series," Computational Statistics & Data Analysis, Elsevier, vol. 33(3), pages 315-333, May.

    Cited by:

    1. Martín Rodríguez, Gloria & Cáceres Hernández, José Juan, 2010. "Splines and the proportion of the seasonal period as a season index," Economic Modelling, Elsevier, vol. 27(1), pages 83-88, January.
    2. Orbe Mandaluniz, Susan & Ferreira García, María Eva & Rodríguez Poo, Juan M., 2001. "Nonparametric estimation of time varying parameters under shape restrictions," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
       • Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2005. "Nonparametric estimation of time varying parameters under shape restrictions," Journal of Econometrics, Elsevier, vol. 126(1), pages 53-77, May.
    3. Zhao, Shan & Wei, G. W., 2003. "Jump process for the trend estimation of time series," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 219-241, February.
    4. Q. Shao, 2009. "Seasonality analysis of time series in partial linear models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(7), pages 827-837.
    5. Martin-Rodriguez, Gloria & Caceres-Hernandez, Jose Juan, 2009. "The Proportion of the Seasonal Period as a Season Index in Weekly Agricultural Data," 2009 Conference, August 16-22, 2009, Beijing, China 49956, International Association of Agricultural Economists.

16. Ferreira, Eva & Núñez-Antón, Vicente & Rodríguez-Póo, Juan, 1997. "Kernel regression estimates of growth curves using nonstationary correlated errors," Statistics & Probability Letters, Elsevier, vol. 34(4), pages 413-423, June.

    Cited by:

    1. Vicente Núñez-Antón & Juan Rodríguez-Póo & Philippe Vieu, 1999. "Longitudinal data with nonstationary errors: a nonparametric three-stage approach," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(1), pages 201-231, June.
    2. Benhenni, K. & Rachdi, M., 2006. "Nonparametric estimation of the regression function from quantized observations," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3067-3085, July.
    3. Ferreira García, María Eva & Núñez Antón, Vicente Alfredo & Rodríguez Poo, Juan M., 1999. "Two-Stage Nonparametric Regression for Longitudinal Data," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    4. D. Benelmadani & K. Benhenni & S. Louhichi, 2020. "The reproducing kernel Hilbert space approach in nonparametric regression problems with correlated observations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(6), pages 1479-1500, December.
    5. Karim Benhenni & Mustapha Rachdi & Yingcai Su, 2013. "The effect of the regularity of the error process on the performance of kernel regression estimators," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(6), pages 765-781, August.

17. Eva Ferreira & Fernando Tusell, 1996. "Un modelo aditivo semiparamétrico para estimación de capturas: el caso de las pesquerías de Terranova," Investigaciones Economicas, Fundación SEPI, vol. 20(1), pages 143-157, January.

    Cited by:

    1. Fernández, C. & Ley, E. & Steel, M.F.J., 1997. "Statistical Modelling of Fishing Activities in the North Atlantic," Discussion Paper 1997-111, Tilburg University, Center for Economic Research.
       • Carmen Fernández & Eduardo Ley & Mack F. J. Steel, "undated". "Statistical modeling of fishing activities in the North Atlantic," Working Papers 97-25, FEDEA.
       • Carmen Fernandez & Eduardo Ley & Mark F.J. Steel, 1997. "Statistical Modeling of Fishing Activities in the North Atlantic," Econometrics 9712001, University Library of Munich, Germany.
       • Fernández, C. & Ley, E. & Steel, M.F.J., 1997. "Statistical Modelling of Fishing Activities in the North Atlantic," Other publications TiSEM 20eee0e0-9a7e-40e2-8b1a-b, Tilburg University, School of Economics and Management.
    2. Carmen Fernandez & Eduardo Ley & Mark Steel, 2001. "Bayesian Modelling of Catch in a Northwest Atlantic Fishery," Econometrics 0110003, University Library of Munich, Germany, revised 23 Nov 2001.
       • Carmen Fernandez & Eduardo Ley & Mark F J Steel, 2001. "Bayesian modelling of catch in a Northwest Atlantic Fishery," Edinburgh School of Economics Discussion Paper Series 67, Edinburgh School of Economics, University of Edinburgh.
       • Carmen Fernández & Eduardo Ley & Mark F. J. Steel, 2002. "Bayesian modelling of catch in a north‐west Atlantic fishery," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(3), pages 257-280, July.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-RMG: Risk Management (3) 2017-09-24 2021-04-19 2022-02-21
2. NEP-CWA: Central and Western Asia (2) 2021-04-19 2022-02-21
3. NEP-CSE: Economics of Strategic Management (1) 2010-05-29
4. NEP-FMK: Financial Markets (1) 2021-04-19
5. NEP-MON: Monetary Economics (1) 2022-02-21
6. NEP-NET: Network Economics (1) 2021-04-19

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