IDEAS home Printed from https://ideas.repec.org/e/c/pva22.html
   My authors  Follow this author

Roy van der Weide

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Milanovic,Branko L. & Van Der Weide,Roy & Milanovic,Branko L. & Van Der Weide,Roy, 2014. "Inequality is bad for growth of the poor (but not for that of the rich)," Policy Research Working Paper Series 6963, The World Bank.

    Mentioned in:

    1. Les inégalités sont bonnes pour la croissance des riches… pas pour celle des pauvres
      by ? in D'un champ l'autre on 2014-07-06 04:59:00
    2. <a href="/article/good-rich-bad-poor">Good for the rich, bad for the poor</a>
      by ? in VoxEU.org on 2014-11-30 04:46:17
    3. Inequality Grows The Incomes Of The Rich But Not The Incomes Of The Poor
      by Tim Worstall in Tim Worstall (Forbes) on 2014-11-30 17:31:00
    4. Inequality Is Bad For Income Growth Of the Poor (But Not For That of the Rich)
      by ? in Naked Capitalism on 2014-12-01 11:55:00
    5. Does inequality today hurt future growth of the poor?
      by Branko Milanovic in globalinequality on 2014-12-04 03:22:00
  2. Marrero,Gustavo Alberto & Rodriguez,Juan Gabriel & Van Der Weide,Roy, 2016. "Unequal opportunity, unequal growth," Policy Research Working Paper Series 7853, The World Bank.

    Mentioned in:

    1. Unequal opportunities, unequal growth
      by ? in VoxEU.org on 2017-02-08 06:00:00
    2. Unequal opportunity, unequal growth
      by ? in Let's Talk Development on 2017-04-20 21:15:00

Working papers

  1. Marrero,Gustavo Alberto & Rodriguez,Juan Gabriel & Van Der Weide,Roy, 2016. "Unequal opportunity, unequal growth," Policy Research Working Paper Series 7853, The World Bank.

    Cited by:

    1. Juan C. Palomino & Gustavo A. Marrero & Juan G. Rodriguez, 2016. "Channels of inequality of opportunity: The role of education and occupation in Europe," Working Papers 411, ECINEQ, Society for the Study of Economic Inequality.

  2. Van Der Weide,Roy & Lakner,Christoph & Ianchovichina,Elena & Van Der Weide,Roy & Lakner,Christoph & Ianchovichina,Elena, 2016. "Is inequality underestimated in Egypt ? evidence from house prices," Policy Research Working Paper Series 7727, The World Bank.

    Cited by:

    1. Channing Arndt & Kristi Mahrt, 2017. "Is inequality underestimated in Mozambique? Accounting for underreported consumption," WIDER Working Paper Series 153, World Institute for Development Economic Research (UNU-WIDER).
    2. Elena Ianchovichina & Lili Mottaghi & Shantayanan Devarajan, "undated". "Middle East and North Africa Economic Monitor, October 2015," World Bank Other Operational Studies 22711, The World Bank.

  3. Fujii,Tomoki & Van Der Weide,Roy, 2016. "Is predicted data a viable alternative to real data ?," Policy Research Working Paper Series 7841, The World Bank.

    Cited by:

    1. Potnuru Kishen Suraj & Ankesh Gupta & Makkunda Sharma & Sourabh Bikas Paul & Subhashis Banerjee, 2017. "On monitoring development indicators using high resolution satellite images," Papers 1712.02282, arXiv.org, revised Jun 2018.

  4. Milanovic,Branko L. & Van Der Weide,Roy & Milanovic,Branko L. & Van Der Weide,Roy, 2014. "Inequality is bad for growth of the poor (but not for that of the rich)," Policy Research Working Paper Series 6963, The World Bank.

    Cited by:

    1. Milanovic, Branko, 2016. "Why might the rich be indifferent to income growth of their own countries?," Economics Letters, Elsevier, vol. 147(C), pages 108-111.
    2. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    3. Raymundo M. Campos Vázquez & Luis A. Monroy-Gómez-Franco, 2016. "La relación entre crecimiento económico y pobreza en México," Serie documentos de trabajo del Centro de Estudios Económicos 2016-01, El Colegio de México, Centro de Estudios Económicos.

  5. Elbers, Chris & van der Weide, Roy, 2014. "Estimation of normal mixtures in a nested error model with an application to small area estimation of poverty and inequality," Policy Research Working Paper Series 6962, The World Bank.

    Cited by:

    1. Tara Vishwanath & Dhiraj Sharma & Nandini Krishnan & Brian Blankespoor, 2015. "Where are Iraq’s Poor?," World Bank Other Operational Studies 22351, The World Bank.
    2. Charlotte Articus & Jan Pablo Burgard, 2014. "A Finite Mixture Fay Herriot-type model for estimating regional rental prices in Germany," Research Papers in Economics 2014-14, University of Trier, Department of Economics.
    3. van der Weide, Roy, 2014. "GLS estimation and empirical bayes prediction for linear mixed models with Heteroskedasticity and sampling weights : a background study for the POVMAP project," Policy Research Working Paper Series 7028, The World Bank.
    4. Pave Sohnesen,Thomas & Ambel,Alemayehu A. & Fisker,Peter Simonsen & Andrews,Colin & Khan,Qaiser M., 2016. "Small area estimation of child malnutrition in Ethiopian woredas," Policy Research Working Paper Series 7581, The World Bank.
    5. World Bank Group, 2016. "Knowledge Externalities from Poverty Mapping in the European Union," World Bank Other Operational Studies 23905, The World Bank.

  6. Fujii, Tomoki & van der Weide, Roy, 2013. "Cost-effective estimation of the population mean using prediction estimators," Policy Research Working Paper Series 6509, The World Bank.

    Cited by:

    1. Ahmed, Faizuddin & Dorji, Cheku & Takamatsu, Shinya & Yoshida, Nobuo, 2014. "Hybrid survey to improve the reliability of poverty statistics in a cost-effective manner," Policy Research Working Paper Series 6909, The World Bank.

  7. Douidich, Mohamed & Ezzrari, Abdeljaouad & Van der Weide, Roy & Verme, Paolo, 2013. "Estimating quarterly poverty rates using labor force surveys : a primer," Policy Research Working Paper Series 6466, The World Bank.

    Cited by:

    1. Kilic, Talip & Sohnesen, Thomas, 2015. "Same question but different answer : experimental evidence on questionnaire design's impact on poverty measured by proxies," Policy Research Working Paper Series 7182, The World Bank.
    2. Dang, Hai-Anh H., 2018. "To Impute or Not to Impute? A Review of Alternative Poverty Estimation Methods in the Context of Unavailable Consumption Data," GLO Discussion Paper Series 201, Global Labor Organization (GLO).
    3. Ahmed, Faizuddin & Dorji, Cheku & Takamatsu, Shinya & Yoshida, Nobuo, 2014. "Hybrid survey to improve the reliability of poverty statistics in a cost-effective manner," Policy Research Working Paper Series 6909, The World Bank.
    4. Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
    5. Dang,Hai-Anh H. & Lanjouw,Peter F. & Dang,Hai-Anh H. & Lanjouw,Peter F., 2015. "Poverty dynamics in India between 2004 and 2012 : insights from longitudinal analysis using synthetic panel data," Policy Research Working Paper Series 7270, The World Bank.
    6. Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
    7. World Bank, 2016. "Tunisia Poverty Assessment 2015," World Bank Other Operational Studies 24410, The World Bank.
    8. Hai-Anh H. Dang & Peter F. Lanjouw & Umar Serajuddin, 2017. "Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 939-962.
    9. Elena Ianchovichina & Lili Mottaghi & Shantayanan Devarajan, "undated". "Middle East and North Africa Economic Monitor, October 2015," World Bank Other Operational Studies 22711, The World Bank.
    10. Newhouse, D. & Shivakumaran, S. & Takamatsu, S. & Yoshida, N., 2014. "How survey-to-survey imputation can fail," Policy Research Working Paper Series 6961, The World Bank.

  8. Cuong, Nguyen Viet & Truong, Tran Ngoc & van der Weide, Roy, 2010. "Poverty and inequality maps for rural Vietnam: an application of small area estimation," Policy Research Working Paper Series 5443, The World Bank.

    Cited by:

    1. Adel Ben Youssef & Mohamed El Hedi Arouri & Cuong Nguyen-Viet, 2016. "Does Urbanization Reduce Rural Poverty? Evidence from Vietnam," Post-Print halshs-01384725, HAL.
    2. Kozel, Valerie & Nguyen, Cuong, 2010. "Power Sector Reforms and the Poor in Vietnam," MPRA Paper 70152, University Library of Munich, Germany.
    3. Lanjouw, Peter & Marra, Marleen & Nguyen, Cuong, 2013. "Vietnam's evolving poverty map : patterns and implications for policy," Policy Research Working Paper Series 6355, The World Bank.
    4. Pham, Huong Dien, 2017. "Do cultural factors alter the relationship between risk attitudes and economic welfare?," TVSEP Working Papers wp-003, Leibniz Universitaet Hannover, Institute of Development and Agricultural Economics, Project TVSEP.
    5. Nguyen, Cuong, 2012. "Does Urbanization Help Poverty Reduction in Rural Areas?Evidence from a Developing Country," MPRA Paper 48660, University Library of Munich, Germany.
    6. Fabrizi, Enrico & Trivisano, Carlo, 2016. "Small area estimation of the Gini concentration coefficient," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 223-234.
    7. Peter Lanjouw & Marleen Marra & Cuong Nguyen, 2017. "Vietnam’s Evolving Poverty Index Map: Patterns and Implications for Policy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 93-118, August.
    8. Emiliano Magrini & Pierluigi Montalbano, 2012. "Trade openness and vulnerability to poverty: Vietnam in the long-run (1992-2008)," Working Paper Series 3512, Department of Economics, University of Sussex.
    9. World Bank, 2013. "Nepal : Small Area Estimation of Poverty, 2011," World Bank Other Operational Studies 16569, The World Bank.

  9. Nguyen Viet, Cuong & Van der Weide, Roy & Le, Hai & Tran, Ngoc Truong, 2007. "Construction of poverty map for the HCM city in Vietnam using the 2004 VHLSS and the 2004 HCM Mid-Census," MPRA Paper 25629, University Library of Munich, Germany.

    Cited by:

    1. Nguyen, Cuong & Tran Ngoc, Truong & Van der Weide, Roy, 2009. "Rural Poverty and Inequality Maps in Vietnam: Estimation using Vietnam Household Living Standard Survey 2006 and Rural Agriculture and Fishery Census 2006," MPRA Paper 36378, University Library of Munich, Germany.
    2. Cuong Viet Nguyen, 2009. "Updating Poverty Maps for Ho Chi Minh City of Vietnam using a Small Area Estimation Method," Economics Bulletin, AccessEcon, vol. 29(3), pages 1971-1980.

  10. Diks, C.G.H. & Hommes, C.H. & Panchenko, V. & Weide, R. van der, 2006. "E&F Chaos: a user friendly software package for nonlinear economic dynamics," CeNDEF Working Papers 06-15, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Charpe, Matthieu & Flaschel, Peter & Hartmann, Florian & Malikane, Christopher, 2014. "Segmented Labor Markets and the Distributive Cycle: A Roadmap towards Inclusive Growth," MPRA Paper 62832, University Library of Munich, Germany.
    2. Luis-Felipe Zanna & Marco Airaudo, 2012. "Interest Rate Rules, Endogenous Cycles, and Chaotic Dynamics in Open Economies," IMF Working Papers 12/121, International Monetary Fund.
    3. Waters, George A., 2009. "Chaos in the cobweb model with a new learning dynamic," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1201-1216, June.
    4. Airaudo, Marco, 2016. "Endogenous Stock Price Fluctuations with Dynamic Self-Control Preferences," School of Economics Working Paper Series 2016-2, LeBow College of Business, Drexel University.
    5. Matthieu Charpe & Peter Flaschel & Hans-Martin Krolzig & Christian Proaño & Willi Semmler & Daniele Tavani, 2015. "Credit-driven investment, heterogeneous labor markets and macroeconomic dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 163-181, April.
    6. Prettner, Klaus, 2012. "Public education, technological change and economic prosperity: semi-endogenous growth revisited," Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 65414, Verein für Socialpolitik / German Economic Association.
    7. Xin, Baogui & Chen, Tong, 2011. "On a master-slave Bertrand game model," Economic Modelling, Elsevier, vol. 28(4), pages 1864-1870, July.
    8. Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013. "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers 2013-18, School of Economics, The University of New South Wales.
    9. Bask, Mikael, 2007. "Long swings and chaos in the exchange rate in a DSGE model with a Taylor rule," Research Discussion Papers 19/2007, Bank of Finland.
    10. Peter Flaschel & Florian Hartmann & Christopher Malikane & Christian Proaño, 2015. "A Behavioral Macroeconomic Model of Exchange Rate Fluctuations with Complex Market Expectations Formation," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 669-691, April.
    11. Florian Hartmann & Matthieu Charpe & Peter Flaschel & Roberto Veneziani, 2016. "A Basic Model of Real-Financial Market Interactions with Heterogeneous Opinion Dynamics," Working Papers 104, Institute of Empirical Economic Research, Osnabrueck University, revised 26 May 2016.
    12. P. Luizi & F. Cruz & J. Graaf, 2010. "Assessing the Quality of Pseudo-Random Number Generators," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 57-67, June.
    13. Choudhary, M. Ali & Michael Orszag, J., 2008. "A cobweb model with local externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 821-847, March.
    14. Prettner, Klaus, 2012. "Public education and economic prosperity: Semi-endogenous growth revisited," ECON WPS - Vienna University of Technology Working Papers in Economic Theory and Policy 02/2012, Vienna University of Technology, Institute for Mathematical Methods in Economics, Research Group Economics (ECON).
    15. Lamantia, F. & Negriu, A. & Tuinstra, J., 2016. "Evolutionary Cournot competition with endogenous technology choice: (in)stability and optimal policy," CeNDEF Working Papers 16-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

  11. Roy van der Weide, 2004. "Wake me up before you GO-GARCH," Computing in Economics and Finance 2004 316, Society for Computational Economics.

    Cited by:

    1. Zolotko, Mikhail & Okhrin, Ostap, 2014. "Modelling the general dependence between commodity forward curves," Energy Economics, Elsevier, vol. 43(C), pages 284-296.
    2. Płuciennik Piotr, 2012. "Influence of the American Financial Market on Other Markets During the Subprime Crisis," Folia Oeconomica Stetinensia, Sciendo, vol. 12(2), pages 19-30, December.
    3. Hafner, Christian M. & Linton, Oliver, 2010. "Efficient estimation of a multivariate multiplicative volatility model," Journal of Econometrics, Elsevier, vol. 159(1), pages 55-73, November.
    4. Irene Henriques & Perry Sadorsky, 2018. "Can Bitcoin Replace Gold in an Investment Portfolio?," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(3), pages 1-19, August.
    5. Xin Zhang & Drew Creal & Siem Jan Koopman & Andre Lucas, 2011. "Modeling Dynamic Volatilities and Correlations under Skewness and Fat Tails," Tinbergen Institute Discussion Papers 11-078/2/DSF22, Tinbergen Institute.
    6. Peter Boswijk, H. & van der Weide, Roy, 2011. "Method of moments estimation of GO-GARCH models," Journal of Econometrics, Elsevier, vol. 163(1), pages 118-126, July.
    7. Chakraborty, Sandip & Kakani, Ram Kumar, 2016. "Institutional investment, equity volume and volatility spillover: Causalities and asymmetries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 1-20.
    8. Syed Abul, Basher & Perry, Sadorsky, 2015. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," MPRA Paper 68231, University Library of Munich, Germany.
    9. Alexios Ghalanos & Eduardo Rossi & Giovanni Urga, 2015. "Independent Factor Autoregressive Conditional Density Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 594-616, May.
    10. Ahmad, Wasim & Sadorsky, Perry & Sharma, Amit, 2018. "Optimal hedge ratios for clean energy equities," Economic Modelling, Elsevier, vol. 72(C), pages 278-295.

  12. Cees Diks & Roy van der Weide, 2003. "Heterogeneity as a Natural Source of Randomness," Tinbergen Institute Discussion Papers 03-073/1, Tinbergen Institute.

    Cited by:

    1. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    2. Brock,W.A. & Xepapadeas,A., 2005. "Optimal control and spatial heterogeneity : pattern formation in economic-ecological models," Working papers 11, Wisconsin Madison - Social Systems.
    3. Orlando Gomes, 2004. "A Continuous-Time Asset Pricing Model with Boundedly Rational Heterogeneous Agents," Finance 0409055, University Library of Munich, Germany.
    4. Diks, Cees & van der Weide, Roy, 2005. "Herding, a-synchronous updating and heterogeneity in memory in a CBS," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 741-763, April.
    5. Orlando Gomes, 2004. "Optimal Monetary Policy under Heterogeneous Expectations," Macroeconomics 0409023, University Library of Munich, Germany.
    6. Schmitt, Noemi & Westerhoff, Frank, 2015. "Managing rational routes to randomness," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 157-173.
    7. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 13, january-d.

  13. Cees Diks & Roy van der Weide, 2003. "Herding, A-synchronous Updating and Heterogeneity in Memory in a CBS," Tinbergen Institute Discussion Papers 03-103/1, Tinbergen Institute.

    Cited by:

    1. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    2. Franke, Reiner, 2014. "Aggregate sentiment dynamics: A canonical modelling approach and its pleasant nonlinearities," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 64-72.
    3. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2018. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," JRC Working Papers JRC111392, Joint Research Centre (Seville site).
    4. Witte, Björn-Christopher, 2011. "Removing systematic patterns in returns in a financial market model by artificially intelligent traders," BERG Working Paper Series 82, Bamberg University, Bamberg Economic Research Group.
    5. Michael Wegener & Frank Westerhoff, 2012. "Evolutionary competition between prediction rules and the emergence of business cycles within Metzler’s inventory model," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 251-273, April.
    6. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    7. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    8. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    9. Gerasymchuk, S. & Pavlov, O.V., 2010. "Asset Price Dynamics with Local Interactions under Heterogeneous Beliefs," CeNDEF Working Papers 10-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    10. Cars Hommes & Paolo Zeppini, 2013. "Innovate or imitate? Behavioural Technological Change," Tinbergen Institute Discussion Papers 13-099/II, Tinbergen Institute.
    11. Vygintas Gontis & Aleksejus Kononovicius, 2017. "The consentaneous model of the financial markets exhibiting spurious nature of long-range memory," Papers 1712.05121, arXiv.org, revised Feb 2018.
    12. Cees Diks & Cars Hommes & Valentyn Panchenko & Roy Weide, 2008. "E&F Chaos: A User Friendly Software Package for Nonlinear Economic Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 221-244, September.
    13. Agliari, Anna & Hommes, Cars H. & Pecora, Nicolò, 2016. "Path dependent coordination of expectations in asset pricing experiments: A behavioral explanation," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 15-28.
    14. Anufriev, M. & Hommes, C.H. & Philipse, R., 2010. "Evolutionary Selection of Expectations in Positive and Negative Feedback Markets," CeNDEF Working Papers 10-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    15. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Working Papers JRC111603, Joint Research Centre (Seville site).
    16. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2017. "Long-run expectations in a Learning-to-Forecast Experiment: A Simulation Approach," Working Papers 2017/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    17. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186 Elsevier.
    18. Hommes, C.H. & Wagener, F.O.O., 2009. "Does eductive stability imply evolutionary stability?," CeNDEF Working Papers 09-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    19. Hommes, Cars & Kiseleva, Tatiana & Kuznetsov, Yuri & Verbic, Miroslav, 2012. "Is More Memory In Evolutionary Selection (De)Stabilizing?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(03), pages 335-357, June.
    20. Bao, T. & Hommes, C.H. & Sonnemans, J. & Tuinstra, J., 2010. "Individual Expectations, Limited Rationality and Aggregate Outcomes," CeNDEF Working Papers 10-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    21. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    22. Lines Marji & Westerhoff Frank, 2012. "Effects of Inflation Expectations on Macroeconomic Dynamics: Extrapolative Versus Regressive Expectations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-30, October.
    23. Massaro, Domenico, 2013. "Heterogeneous expectations in monetary DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 680-692.
    24. Anufriev, M. & Panchenko, V., 2007. "Asset Prices, Traders' Behavior, and Market Design," CeNDEF Working Papers 07-14, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    25. Noemi Schmitt & Frank Westerhoff, 2017. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1041-1070, November.
    26. Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013. "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers 2013-18, School of Economics, The University of New South Wales.
    27. Gontis, V. & Havlin, S. & Kononovicius, A. & Podobnik, B. & Stanley, H.E., 2016. "Stochastic model of financial markets reproducing scaling and memory in volatility return intervals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1091-1102.
    28. Tatiana Kiseleva, 2016. "Heterogeneous Beliefs and Climate Catastrophes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(3), pages 599-622, November.
    29. Cornea, A. & Hommes, C.H. & Massaro, D., 2012. "Behavioral Heterogeneity in U.S. Inflation Dynamics," CeNDEF Working Papers 12-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    30. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    31. Schmitt, Noemi & Westerhoff, Frank, 2015. "Managing rational routes to randomness," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 157-173.
    32. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Evolutionary Frequency and Forecasting Accuracy: Simulations Based on an Agent-Based Artificial Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 79-104, June.
    33. Zeppini Rossi, P., 2013. "A Discrete Choice Model of Transitions to Sustainable Technologies," CeNDEF Working Papers 13-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    34. Gontis, V. & Kononovicius, A., 2018. "The consentaneous model of the financial markets exhibiting spurious nature of long-range memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1075-1083.
    35. Kukacka, Jiri & Barunik, Jozef, 2013. "Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.
    36. Cars Hommes & Domenico Massaro & Matthias Weber, 2015. "Monetary Policy under Behavioral Expectations: Theory and Experiment," Tinbergen Institute Discussion Papers 15-087/II, Tinbergen Institute.
    37. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.
    38. Assenza, T. & Brock, W.A. & Hommes, C.H., 2012. "Animal Spirits, Heterogeneous Expectations and the Amplification and Duration of Crises," CeNDEF Working Papers 12-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    39. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 13, january-d.
    40. Mikhail Anufriev & Cars Hommes, 2012. "Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 35-64, November.
    41. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    42. Park, Beum-Jo, 2011. "Asymmetric herding as a source of asymmetric return volatility," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2657-2665, October.
    43. Hommes, Cars, 2018. "Carl’s nonlinear cobweb," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 7-20.

  14. Cees Diks & Roy van der Weide, 2003. "Continuous Beliefs Dynamics," Tinbergen Institute Discussion Papers 03-007/1, Tinbergen Institute.

    Cited by:

    1. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2002. "Evolutionary dynamics in markets with many trader types," CeNDEF Working Papers 02-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. Massaro, D., 2012. "Regime shifts: early warnings," CeNDEF Working Papers 12-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2003. "Nonlocal onset of instability in an asset pricing model with heterogeneous agents," CeNDEF Working Papers 03-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

Articles

  1. Mohamed Douidich & Abdeljaouad Ezzrari & Roy Van der Weide & Paolo Verme, 2016. "Estimating Quarterly Poverty Rates Using Labor Force Surveys: A Primer," World Bank Economic Review, World Bank Group, vol. 30(3), pages 475-500.
    See citations under working paper version above.
  2. Peter Boswijk, H. & van der Weide, Roy, 2011. "Method of moments estimation of GO-GARCH models," Journal of Econometrics, Elsevier, vol. 163(1), pages 118-126, July.

    Cited by:

    1. Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2012. "Multivariate Rotated ARCH Models," Economics Papers 2012-W01, Economics Group, Nuffield College, University of Oxford.
    2. Zolotko, Mikhail & Okhrin, Ostap, 2014. "Modelling the general dependence between commodity forward curves," Energy Economics, Elsevier, vol. 43(C), pages 284-296.
    3. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    4. Darolles, Serge & Francq, Christian & Laurent, Sébastien, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Journal of Econometrics, Elsevier, vol. 204(2), pages 223-247.
    5. Gian Piero Aielli & Massimiliano Caporin, 2015. "Dynamic Principal Components: a New Class of Multivariate GARCH Models," "Marco Fanno" Working Papers 0193, Dipartimento di Scienze Economiche "Marco Fanno".
    6. Stefan Bruder, 2018. "Inference for structural impulse responses in SVAR-GARCH models," ECON - Working Papers 281, Department of Economics - University of Zurich.
    7. Francq, Christian & Zakoian, Jean-Michel, 2015. "Joint inference on market and estimation risks in dynamic portfolios," MPRA Paper 68100, University Library of Munich, Germany.
    8. Syed Abul, Basher & Perry, Sadorsky, 2015. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," MPRA Paper 68231, University Library of Munich, Germany.
    9. Alexios Ghalanos & Eduardo Rossi & Giovanni Urga, 2015. "Independent Factor Autoregressive Conditional Density Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 594-616, May.
    10. Ahmad, Wasim & Sadorsky, Perry & Sharma, Amit, 2018. "Optimal hedge ratios for clean energy equities," Economic Modelling, Elsevier, vol. 72(C), pages 278-295.

  3. Nguyen Viet Cuong & Tran Ngoc Truong & Roy Van Der Weide, 2010. "Poverty and Inequality Maps in Rural Vietnam: An Application of Small Area Estimation," Asian Economic Journal, East Asian Economic Association, vol. 24(4), pages 355-390, December.

    Cited by:

    1. Adel Ben Youssef & Mohamed El Hedi Arouri & Cuong Nguyen-Viet, 2016. "Does Urbanization Reduce Rural Poverty? Evidence from Vietnam," Post-Print halshs-01384725, HAL.
    2. Kozel, Valerie & Nguyen, Cuong, 2010. "Power Sector Reforms and the Poor in Vietnam," MPRA Paper 70152, University Library of Munich, Germany.
    3. Nguyen Viet, Cuong, 2011. "Poverty projection using a small area estimation method: Evidence from Vietnam," Journal of Comparative Economics, Elsevier, vol. 39(3), pages 368-382, September.
    4. Lanjouw, Peter & Marra, Marleen & Nguyen, Cuong, 2013. "Vietnam's evolving poverty map : patterns and implications for policy," Policy Research Working Paper Series 6355, The World Bank.
    5. Pham, Huong Dien, 2017. "Do cultural factors alter the relationship between risk attitudes and economic welfare?," TVSEP Working Papers wp-003, Leibniz Universitaet Hannover, Institute of Development and Agricultural Economics, Project TVSEP.
    6. Nguyen, Cuong, 2012. "Does Urbanization Help Poverty Reduction in Rural Areas?Evidence from a Developing Country," MPRA Paper 48660, University Library of Munich, Germany.
    7. Fabrizi, Enrico & Trivisano, Carlo, 2016. "Small area estimation of the Gini concentration coefficient," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 223-234.
    8. Peter Lanjouw & Marleen Marra & Cuong Nguyen, 2017. "Vietnam’s Evolving Poverty Index Map: Patterns and Implications for Policy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 93-118, August.
    9. Emiliano Magrini & Pierluigi Montalbano, 2012. "Trade openness and vulnerability to poverty: Vietnam in the long-run (1992-2008)," Working Paper Series 3512, Department of Economics, University of Sussex.
    10. World Bank, 2013. "Nepal : Small Area Estimation of Poverty, 2011," World Bank Other Operational Studies 16569, The World Bank.

  4. Matthijs van Veelen & Roy van der Weide, 2008. "A Note on Different Approaches to Index Number Theory," American Economic Review, American Economic Association, vol. 98(4), pages 1722-1730, September.

    Cited by:

    1. Jorge Durán & Omar Licandro, 2012. "Is the GDP Growth Rate in NIPA a Welfare Measure?," Working Papers 665, Barcelona Graduate School of Economics.
    2. DECANCQ, Koen & FLEURBAEY, Marc & SCHOKKAERT, Erik, 2014. "Inequality, income, and well-being," CORE Discussion Papers 2014018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Jorge Duran & Omar Licandro, 2015. "Is the output growth rate in NIPA a welfare measure?," Discussion Papers 2015/18, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    4. John Gibson & Trinh Le, 2018. "Improved Modelling of Spatial Cost of Living Differences in Developing Countries: A Comparison of Expert Knowledge and Traditional Price Surveys," Working Papers in Economics 18/08, University of Waikato.
    5. van Veelen, Matthijs, 2009. "The apples and oranges theorem for price indices," Economics Letters, Elsevier, vol. 103(1), pages 12-14, April.
    6. Ian Crawford & J. Peter Neary, 2008. "Testing for a Reference Consumer in International Comparisons of Living Standards," American Economic Review, American Economic Association, vol. 98(4), pages 1731-1732, September.

  5. Cees Diks & Cars Hommes & Valentyn Panchenko & Roy Weide, 2008. "E&F Chaos: A User Friendly Software Package for Nonlinear Economic Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 221-244, September.
    See citations under working paper version above.
  6. Diks, Cees & van der Weide, Roy, 2005. "Herding, a-synchronous updating and heterogeneity in memory in a CBS," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 741-763, April.
    See citations under working paper version above.
  7. Roy van der Weide, 2002. "GO-GARCH: a multivariate generalized orthogonal GARCH model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 549-564.

    Cited by:

    1. Manabu Asai & Michael McAleer, 2011. "Dynamic Conditional Correlations for Asymmetric Processes," Documentos de Trabajo del ICAE 2011-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Jianqing Fan & Mingjin Wang & Qiwei Yao, 2008. "Modelling multivariate volatilities via conditionally uncorrelated components," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 679-702.
    3. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    4. Boswijk, H.P. & Weide, R. van der, 2006. "Wake me up before you GO-GARCH," CeNDEF Working Papers 06-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    6. João Caldeira & Guilherme Moura & André A.P. Santos, 2012. "Portfolio optimization using a parsimonious multivariate GARCH model: application to the Brazilian stock market," Economics Bulletin, AccessEcon, vol. 32(3), pages 1848-1857.
    7. Audrone Virbickaite & M. Concepción Ausín & Pedro Galeano, 2015. "Bayesian Inference Methods For Univariate And Multivariate Garch Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 76-96, February.
    8. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(2), pages 247-285.
    9. Lucchetti, Riccardo & Palomba, Giulio, 2009. "Nonlinear adjustment in US bond yields: An empirical model with conditional heteroskedasticity," Economic Modelling, Elsevier, vol. 26(3), pages 659-667, May.
    10. Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
    11. Cavaliere, Giuseppe & Rahbek, Anders & Taylor, A.M. Robert, 2010. "Testing for co-integration in vector autoregressions with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 158(1), pages 7-24, September.
    12. Groba, Jonatan & Lafuente, Juan A. & Serrano, Pedro, 2013. "The impact of distressed economies on the EU sovereign market," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2520-2532.
    13. Manuel A. Hernandez & Raul Ibarra & Danilo R. Trupkin, 2014. "How far do shocks move across borders? Examining volatility transmission in major agricultural futures markets," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 41(2), pages 301-325.
    14. Degiannakis, Stavros & Duffy, David & Filis, George, 2014. "Business Cycle Synchronisation in EU: A time-varying approach," MPRA Paper 80437, University Library of Munich, Germany.
    15. Kumiega, Andrew & Neururer, Thaddeus & Van Vliet, Ben, 2011. "Independent component analysis for realized volatility: Analysis of the stock market crash of 2008," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(3), pages 292-302, June.
    16. Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2012. "Multivariate Rotated ARCH Models," Economics Papers 2012-W01, Economics Group, Nuffield College, University of Oxford.
    17. Chrétien, Stéphane & Ortega, Juan-Pablo, 2014. "Multivariate GARCH estimation via a Bregman-proximal trust-region method," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 210-236.
    18. Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Tinbergen Institute Discussion Papers 14-037/III, Tinbergen Institute.
    19. Alp, Tansel & Demetrescu, Matei, 2010. "Joint forecasts of Dow Jones stocks under general multivariate loss function," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2360-2371, November.
    20. LAURENT, Sébastien & ROMBOUTS, Jeroen V. K. & VIOLANTE, Francesco, 2010. "On the forecasting accuracy of multivariate GARCH models," CORE Discussion Papers 2010025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    21. Zolotko, Mikhail & Okhrin, Ostap, 2014. "Modelling the general dependence between commodity forward curves," Energy Economics, Elsevier, vol. 43(C), pages 284-296.
    22. Cavaliere, Giuseppe & Rahbek, Anders & Taylor, A.M. Robert, 2010. "Cointegration Rank Testing Under Conditional Heteroskedasticity," Econometric Theory, Cambridge University Press, vol. 26(06), pages 1719-1760, December.
    23. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    24. Wiper, Michael Peter & Galeano San Miguel, Pedro & García de la Fuente, Cristina, 2014. "Bayesian estimation of a dynamic conditional correlation model with multivariate Skew-Slash innovations," DES - Working Papers. Statistics and Econometrics. WS ws141711, Universidad Carlos III de Madrid. Departamento de Estadística.
    25. Christian Hafner & Helmut Herwartz, 2008. "Analytical quasi maximum likelihood inference in multivariate volatility models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(2), pages 219-239, March.
    26. Vincenzo Candila, 2013. "A Comparison Of The Forecasting Performances Of Multivariate Volatility Models," Working Papers 3_228, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    27. Christian M. Hafner, 2004. "Temporal aggregation of multivariate GARCH processes," Econometric Society 2004 North American Winter Meetings 538, Econometric Society.
    28. Caporin, M. & McAleer, M.J., 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Econometric Institute Research Papers EI2012-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: A survey," Temi di discussione (Economic working papers) 685, Bank of Italy, Economic Research and International Relations Area.
    30. Francq, Christian & Zakoian, Jean-Michel, 2014. "Estimating multivariate GARCH and stochastic correlation models equation by equation," MPRA Paper 54250, University Library of Munich, Germany.
    31. Riccardo LUCCHETTI & Giulio PALOMBA, 2006. "Forecasting US bond yields at weekly frequency," Working Papers 261, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    32. Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
    33. Tule, Moses K. & Ndako, Umar B. & Onipede, Samuel F., 2017. "Oil price shocks and volatility spillovers in the Nigerian sovereign bond market," Review of Financial Economics, Elsevier, vol. 35(C), pages 57-65.
    34. Hafner, Christian M. & Linton, Oliver, 2010. "Efficient estimation of a multivariate multiplicative volatility model," Journal of Econometrics, Elsevier, vol. 159(1), pages 55-73, November.
    35. Martin Vojtek, 2004. "Calibration of Interest Rate Models - Transition Market Case," CERGE-EI Working Papers wp237, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    36. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    37. Irene Henriques & Perry Sadorsky, 2018. "Can Bitcoin Replace Gold in an Investment Portfolio?," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(3), pages 1-19, August.
    38. Sébastien Laurent & Jeroen V.K. Rombouts & Francesco Violante, 2009. "On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models," Cahiers de recherche 0948, CIRPEE.
    39. Loening, Josef L., 2011. "Lao People’s Democratic Republic: responding to rice price inflation," MPRA Paper 33443, University Library of Munich, Germany.
    40. Darolles, Serge & Francq, Christian & Laurent, Sébastien, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Journal of Econometrics, Elsevier, vol. 204(2), pages 223-247.
    41. HAFNER, Christian & PREMINGER, Arie, 2006. "Asymptotic theory for a factor GARCH model," CORE Discussion Papers 2006071, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    42. Oscar De la Torre Torres., 2013. "Orthogonal GARCH matrixes in the active portfolio management of defined benefit pension plans: A test for Michoacán," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 39(2), pages 119-144, Julio-Dic.
    43. Claudio, Morana, 2018. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Working Papers 382, University of Milano-Bicocca, Department of Economics, revised 04 Jun 2018.
    44. Gian Piero Aielli & Massimiliano Caporin, 2015. "Dynamic Principal Components: a New Class of Multivariate GARCH Models," "Marco Fanno" Working Papers 0193, Dipartimento di Scienze Economiche "Marco Fanno".
    45. Helmut Luetkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models," CESifo Working Paper Series 5308, CESifo Group Munich.
    46. Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-run Restrictions via Heteroskedasticity," SFB 649 Discussion Papers SFB649DP2014-009, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    47. Helmut Lütkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticy," SFB 649 Discussion Papers SFB649DP2015-015, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    48. Mthuli Ncube & Daniel Zerfu Gurara & Dawit B. Tessema, 2014. "Working Paper 205 - Volatility and Co-movement in Commodity Prices- New Evidence," Working Paper Series 2135, African Development Bank.
    49. Duchesne, Pierre, 2006. "Testing for multivariate autoregressive conditional heteroskedasticity using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2142-2163, December.
    50. Kosater, Peter, 2006. "Cross-city hedging with weather derivatives using bivariate DCC GARCH models," Discussion Papers in Econometrics and Statistics 2/06, University of Cologne, Institute of Econometrics and Statistics.
    51. Jules Sadefo Kamdem, 2011. "Downside Risk And Kappa Index Of Non-Gaussian Portfolio With Lpm," Working Papers hal-00733043, HAL.
    52. Claudio Morana, 2017. "Semiparametric Estimation of Multivariate GARCH Models," Working Paper series 17-02, Rimini Centre for Economic Analysis.
    53. Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
    54. Massimiliano Caporin & Michael McAleer, 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Working Papers in Economics 11/23, University of Canterbury, Department of Economics and Finance.
    55. Melanie-Kristin Beck & Bernd Hayo & Matthias Neuenkirch, 2012. "Central Bank Communication and Correlation between Financial Markets: Canada and the United States," MAGKS Papers on Economics 201201, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    56. Hafner, Christian M. & Preminger, Arie, 2009. "On asymptotic theory for multivariate GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2044-2054, October.
    57. Fengler, Matthias R. & Herwartz, Helmut, 2015. "Measuring spot variance spillovers when (co)variances are time-varying – the case of multivariate GARCH models," Economics Working Paper Series 1517, University of St. Gallen, School of Economics and Political Science.
    58. Peña, Daniel & González-Prieto, Ester & García-Ferrer, Antonio, 2008. "A multivariate generalized independent factor GARCH model with an application to financial stock returns," DES - Working Papers. Statistics and Econometrics. WS ws087528, Universidad Carlos III de Madrid. Departamento de Estadística.
    59. Silvennoinen, Annastiina & Teräsvirta, Timo, 2007. "Multivariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 669, Stockholm School of Economics, revised 18 Jan 2008.
    60. Yip, Iris W.H. & So, Mike K.P., 2009. "Simplified specifications of a multivariate generalized autoregressive conditional heteroscedasticity model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(2), pages 327-340.
    61. Stephen G. Hall & George Hondroyiannis, 2006. "Measuring the Correlation of Shocks betweem the EU15 and the New Member Countries," Working Papers 31, Bank of Greece.
    62. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Generalized Dynamic Factor Model + GARCH Exploiting Multivariate Information for Univariate Prediction," LEM Papers Series 2006/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    63. Degiannakis, Stavros & Duffy, David & Filis, George, 2013. "Time-varying Business Cycles Synchronisation in Europe," MPRA Paper 52925, University Library of Munich, Germany.
    64. Stefan Bruder, 2018. "Inference for structural impulse responses in SVAR-GARCH models," ECON - Working Papers 281, Department of Economics - University of Zurich.
    65. Xin Zhang & Drew Creal & Siem Jan Koopman & Andre Lucas, 2011. "Modeling Dynamic Volatilities and Correlations under Skewness and Fat Tails," Tinbergen Institute Discussion Papers 11-078/2/DSF22, Tinbergen Institute.
    66. Peter Boswijk, H. & van der Weide, Roy, 2011. "Method of moments estimation of GO-GARCH models," Journal of Econometrics, Elsevier, vol. 163(1), pages 118-126, July.
    67. Takashi Isogai, 2015. "An Empirical Study of the Dynamic Correlation of Japanese Stock Returns," Bank of Japan Working Paper Series 15-E-7, Bank of Japan.
    68. Rosenow, Bernd, 2008. "Determining the optimal dimensionality of multivariate volatility models with tools from random matrix theory," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 279-302, January.
    69. Chakraborty, Sandip & Kakani, Ram Kumar, 2016. "Institutional investment, equity volume and volatility spillover: Causalities and asymmetries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 1-20.
    70. Christian Francq & Jean-Michel Zakoïan, 2016. "Estimating multivariate volatility models equation by equation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 613-635, June.
    71. Cavaliere, Giuseppe & Rahbek, Anders & Taylor, Robert, 2010. "Determination of the Number of Common Stochastic Trends Under Conditional Heteroskedasticity/Determinación del número de tendencias estocásticas comunes bajo heteroscedasticidad condicional," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 28, pages 519-552, Diciembre.
    72. Helmut Lütkepohl, 2012. "Identifying Structural Vector Autoregressions via Changes in Volatility," Discussion Papers of DIW Berlin 1259, DIW Berlin, German Institute for Economic Research.
    73. BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," CORE Discussion Papers 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    74. Syed Abul, Basher & Perry, Sadorsky, 2015. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," MPRA Paper 68231, University Library of Munich, Germany.
    75. Lucchetti, Riccardo & Palomba, Giulio, 2008. "Nonlinear Adjustment in US Bond Yields: an Empirical Analysis with Conditional Heteroskedasticity," MPRA Paper 11571, University Library of Munich, Germany.
    76. Alexios Ghalanos & Eduardo Rossi & Giovanni Urga, 2015. "Independent Factor Autoregressive Conditional Density Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 594-616, May.
    77. Fernandes, Marcelo & de Sa Mota, Bernardo & Rocha, Guilherme, 2005. "A multivariate conditional autoregressive range model," Economics Letters, Elsevier, vol. 86(3), pages 435-440, March.
    78. St'ephane Chr'etien & Juan-Pablo Ortega, 2011. "Multivariate GARCH estimation via a Bregman-proximal trust-region method," Papers 1101.5475, arXiv.org.
    79. García-Ferrer, Antonio & González-Prieto, Ester & Peña, Daniel, 2012. "A conditionally heteroskedastic independent factor model with an application to financial stock returns," International Journal of Forecasting, Elsevier, vol. 28(1), pages 70-93.
    80. Lee, Hsiang-Tai, 2009. "Optimal futures hedging under jump switching dynamics," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 446-456, June.
    81. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    82. Bucci, Andrea, 2017. "Forecasting realized volatility: a review," MPRA Paper 83232, University Library of Munich, Germany.
    83. Ahmad, Wasim & Sadorsky, Perry & Sharma, Amit, 2018. "Optimal hedge ratios for clean energy equities," Economic Modelling, Elsevier, vol. 72(C), pages 278-295.
    84. Bodnar, Olha & Bodnar, Taras & Gupta, Arjun K., 2010. "Estimation and inference for dependence in multivariate data," Journal of Multivariate Analysis, Elsevier, vol. 101(4), pages 869-881, April.
    85. Giulio PALOMBA, 2006. "Multivariate GARCH models and Black-Litterman approach for tracking error constrained portfolios: an empirical analysis," Working Papers 267, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

Books

    Sorry, no citations of books recorded.
IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.