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Emre Yoldas

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First Name:Emre
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Last Name:Yoldas
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RePEc Short-ID:pyo92
Federal Reserve Board 20th and C Streets NW Washington DC 20551

Affiliation

Federal Reserve Board (Board of Governors of the Federal Reserve System)

Washington, District of Columbia (United States)
http://www.federalreserve.gov/

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20th Street and Constitution Avenue, NW, Washington, DC 20551
RePEc:edi:frbgvus (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Elizabeth C. Klee & Zeynep Senyuz & Emre Yoldas, 2016. "Effects of Changing Monetary and Regulatory Policy on Overnight Money Markets," Finance and Economics Discussion Series 2016-084, Board of Governors of the Federal Reserve System (U.S.).
  2. Marius del Giudice Rodriguez & Emre Yoldas, 2016. "Drivers of Inflation Compensation : Evidence from Inflation Swaps in Advanced Economies," IFDP Notes 2016-12-30-2, Board of Governors of the Federal Reserve System (U.S.).
  3. Yoldas, Emre & Senyuz, Zeynep, 2015. "Financial Stress and Equilibrium Dynamics in Money Markets," Finance and Economics Discussion Series 2015-91, Board of Governors of the Federal Reserve System (U.S.).
  4. Elizabeth C. Klee & Zeynep Senyuz & Emre Yoldas, 2015. "Dynamics of Overnight Money Markets : What Has Changed at the Zero Lower Bound?," FEDS Notes 2015-12-21, Board of Governors of the Federal Reserve System (U.S.).
  5. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the Inflation-Growth Relationship in Developing Economies: Evidence from a Semiparametric Panel Model," Finance and Economics Discussion Series 2014-51, Board of Governors of the Federal Reserve System (U.S.).
  6. Ozgur Akay & Zeynep Senyuz & Emre Yoldas, 2013. "Hedge Fund Contagion and Risk-adjusted Returns: A Markov-switching Dynamic Factor Approach," Working Papers 13-03, Office of Financial Research, US Department of the Treasury.
  7. Deniz Baglan & Emre Yoldas, 2013. "Government debt and macroeconomic activity: a predictive analysis for advanced economies," Finance and Economics Discussion Series 2013-05, Board of Governors of the Federal Reserve System (U.S.).
  8. Gloria Gonzalez-Rivera & Emre Yoldas, 2010. "Multivariate Autocontours for Specification Testing in Multivariate GARCH Models," Working Papers 201436, University of California at Riverside, Department of Economics.
  9. Chauvet, Marcelle & Senyuz, Zeynep & Yoldas, Emre, 2010. "What does financial volatility tell us about macroeconomic fluctuations?," MPRA Paper 34104, University Library of Munich, Germany, revised Jun 2011.

Articles

  1. Baglan Deniz & Yoldas Emre, 2016. "Public debt and macroeconomic activity: a predictive analysis for advanced economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(3), pages 301-324, June.
  2. Chauvet, Marcelle & Senyuz, Zeynep & Yoldas, Emre, 2015. "What does financial volatility tell us about macroeconomic fluctuations?," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 340-360.
  3. Zeynep Senyuz & Emre Yoldas & Ismail Onur Baycan, 2014. "Cyclical Dynamics of the Turkish Economy and the Stock Market," International Economic Journal, Taylor & Francis Journals, vol. 28(3), pages 405-423, September.
  4. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model," Economics Letters, Elsevier, vol. 125(1), pages 93-96.
  5. Akay, Ozgur (Ozzy) & Senyuz, Zeynep & Yoldas, Emre, 2013. "Hedge fund contagion and risk-adjusted returns: A Markov-switching dynamic factor approach," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 16-29.
  6. Yoldas Emre, 2012. "Threshold Asymmetries in Equity Return Distributions: Statistical Tests and Investment Implications," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-37, December.
  7. González-Rivera, Gloria & Yoldas, Emre, 2012. "Autocontour-based evaluation of multivariate predictive densities," International Journal of Forecasting, Elsevier, vol. 28(2), pages 328-342.
  8. González-Rivera, Gloria & Senyuz, Zeynep & Yoldas, Emre, 2011. "Autocontours: Dynamic Specification Testing," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 186-200.
  9. Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Yoldas, Emre, 2007. "Optimality of the RiskMetrics VaR model," Finance Research Letters, Elsevier, vol. 4(3), pages 137-145, September.

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. Elizabeth C. Klee & Zeynep Senyuz & Emre Yoldas, 2016. "Effects of Changing Monetary and Regulatory Policy on Overnight Money Markets," Finance and Economics Discussion Series 2016-084, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. W. Arrata & B. Nguyen & I. Rahmouni-Rousseau & M. Vari, 2017. "Eurosystem’s asset purchases and money market rates," Working papers 652, Banque de France.
    2. Christopher S. Sutherland, 2017. "What Explains Month-End Funding Pressure in Canada?," Discussion Papers 17-9, Bank of Canada.
    3. Michael Boutros & Jonathan Witmer, 2017. "Monetary Policy Implementation in a Negative Rate Environment," Staff Working Papers 17-25, Bank of Canada.

  2. Marius del Giudice Rodriguez & Emre Yoldas, 2016. "Drivers of Inflation Compensation : Evidence from Inflation Swaps in Advanced Economies," IFDP Notes 2016-12-30-2, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Petra Gerlach-Kristen & Richhild Moessner & Rina Rosenblatt-Wisch, 2017. "Computing long‐term market inflation expectations for countries without inflation expectation markets," Working Papers 2017-09, Swiss National Bank.

  3. Yoldas, Emre & Senyuz, Zeynep, 2015. "Financial Stress and Equilibrium Dynamics in Money Markets," Finance and Economics Discussion Series 2015-91, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Aneta Hryckiewicz & Piotr Mielus & Karolina Skorulska & Malgorzata Snarska, 2018. "Does a bank levy increase frictions on the interbank market?," Working Papers 2018-033, Warsaw School of Economics, Collegium of Economic Analysis.

  4. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the Inflation-Growth Relationship in Developing Economies: Evidence from a Semiparametric Panel Model," Finance and Economics Discussion Series 2014-51, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model," Economics Letters, Elsevier, vol. 125(1), pages 93-96.
    2. Thanh, Su Dinh, 2015. "Threshold effects of infl ation on growth in the ASEAN-5 countries: A Panel Smooth Transition Regression approach," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 20(38), pages 41-48.
    3. Barrera-Chaupis, Carlos, 2014. "La relación entre los ciclos discretos en la inflación y el crecimiento: Perú 1993-2012
      [The relationship between inflation's and growth's discrete cycles: Peru 1993-2012]
      ," MPRA Paper 60959, University Library of Munich, Germany.
    4. Christoph S. Weber, 2016. "Central Bank Transparency and Inflation (Volatility) – New Evidence," Working Papers 163, Bavarian Graduate Program in Economics (BGPE).
    5. Shagas, Natalia & Bojechkova, A.V. & Pervishin, Y.N. & Perevyshina, E.A., 2016. "Modeling of State Influence on the Processes of Economic Growth," Working Papers 2132, Russian Presidential Academy of National Economy and Public Administration.
    6. Celil AYDIN, 2017. "The Inflation-Growth Nexus: A Dynamic Panel Threshold Analysis For D-8 Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 134-151, December.
    7. Polemis, Michael L. & Stengos, Thanasis, 2015. "Does market structure affect labour productivity and wages? Evidence from a smooth coefficient semiparametric panel model," Economics Letters, Elsevier, vol. 137(C), pages 182-186.
    8. Christoph S. Weber, 2018. "Central bank transparency and inflation (volatility) – new evidence," International Economics and Economic Policy, Springer, vol. 15(1), pages 21-67, January.
    9. Polterovich, V. & Popov, V., 2016. "Exchange Rate, Inflation and Industrial Policy," Journal of the New Economic Association, New Economic Association, vol. 29(1), pages 192-198.

  5. Ozgur Akay & Zeynep Senyuz & Emre Yoldas, 2013. "Hedge Fund Contagion and Risk-adjusted Returns: A Markov-switching Dynamic Factor Approach," Working Papers 13-03, Office of Financial Research, US Department of the Treasury.

    Cited by:

    1. Franck Martin & Mai lan Nguyen, 2015. "Asymmetric dynamics in the correlations of hedge fund strategy indices: what lessons about financial contagion ?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2110-2125.
    2. Bussière, Matthieu & Hoerova, Marie & Klaus, Benjamin, 2015. "Commonality in hedge fund returns: Driving factors and implications," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 266-280.
    3. Suh, Jong Hwan, 2015. "Forecasting the daily outbreak of topic-level political risk from social media using hidden Markov model-based techniques," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 115-132.
    4. Aristeidis, Samitas & Elias, Kampouris, 2018. "Empirical analysis of market reactions to the UK’s referendum results – How strong will Brexit be?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 263-286.
    5. Stafylas, Dimitrios & Anderson, Keith & Uddin, Moshfique, 2017. "Recent advances in explaining hedge fund returns: Implicit factors and exposures," Global Finance Journal, Elsevier, vol. 33(C), pages 69-87.

  6. Deniz Baglan & Emre Yoldas, 2013. "Government debt and macroeconomic activity: a predictive analysis for advanced economies," Finance and Economics Discussion Series 2013-05, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Balazs Egert, 2013. "The 90% Public Debt Threshold: The Rise & Fall of a Stylised Fact," William Davidson Institute Working Papers Series wp1048, William Davidson Institute at the University of Michigan.
    2. Balázs Égert, 2013. "The 90% public debt threshold: The rise and fall of a stylised fact," EconomiX Working Papers 2013-23, University of Paris Nanterre, EconomiX.
    3. Balázs Égert, 2015. "Public debt, economic growth and nonlinear effects: Myth or reality?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 226-238.
    4. Goldberg, Andrew & Romalis, John, 2015. "Public Debt and Growth in U.S. States," Working Papers 2015-10, University of Sydney, School of Economics.
    5. Sokbae Lee & Hyunmin Park & Myung Hwan Seo & Youngki Shin, 2014. "A contribution to the Reinhart and Rogoff debate: not 90 percent but maybe 30 percent," CeMMAP working papers CWP39/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. E. Tsanana & X. Chapsa & C. Katrakilidis, 2016. "Is growth corrupted or bureaucratic? Panel evidence from the enlarged EU," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3131-3147, July.

  7. Chauvet, Marcelle & Senyuz, Zeynep & Yoldas, Emre, 2010. "What does financial volatility tell us about macroeconomic fluctuations?," MPRA Paper 34104, University Library of Munich, Germany, revised Jun 2011.

    Cited by:

    1. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2017. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," CEPII Policy Brief 2017-20, CEPII research center.
    2. Götz, T.B. & Hecq, A.W., 2014. "Testing for Granger causality in large mixed-frequency VARs," Research Memorandum 028, Maastricht University, Graduate School of Business and Economics (GSBE).
    3. Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012. "A Comprehensive Look at Financial Volatility Prediction by Economic Variables," BIS Working Papers 374, Bank for International Settlements.
    4. Ergemen, Yunus Emre & Velasco, Carlos, 2017. "Estimation of fractionally integrated panels with fixed effects and cross-section dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 248-258.
    5. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2014. "Forecasting growth during the Great Recession: is financial volatility the missing ingredient?," Post-Print hal-01385941, HAL.
    6. Borjigin, Sumuya & Yang, Yating & Yang, Xiaoguang & Sun, Leilei, 2018. "Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 107-115.
    7. John Cotter & Mark Hallam & Kamil Yilmaz, 2017. "Mixed-frequency macro-financial spillovers," Working Papers 201704, Geary Institute, University College Dublin.
    8. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy: Evidence from an uncertainty composite indicator ," Post-Print hal-01549625, HAL.
    9. Vu, Nam T., 2015. "Stock market volatility and international business cycle dynamics: Evidence from OECD economies," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 1-15.
    10. Oguzhan Ozcelebi & Nurtac Yildirim, 2017. "Interrelations Between External and Internal Macroeconomic Factors: Empirical Evidence on Some OECD Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(2), pages 147-174.
    11. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    12. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," EconomiX Working Papers 2013-19, University of Paris Nanterre, EconomiX.

Articles

  1. Chauvet, Marcelle & Senyuz, Zeynep & Yoldas, Emre, 2015. "What does financial volatility tell us about macroeconomic fluctuations?," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 340-360.
    See citations under working paper version above.
  2. Zeynep Senyuz & Emre Yoldas & Ismail Onur Baycan, 2014. "Cyclical Dynamics of the Turkish Economy and the Stock Market," International Economic Journal, Taylor & Francis Journals, vol. 28(3), pages 405-423, September.

    Cited by:

    1. La Saidi & Pasrun Adam & Rostin & Zainuddin Saenong & Muh. Yani Balaka & Gamsir & Asmuddin & Salwiah, 2017. "The Effect of Stock Prices and Exchange Rates on Economic Growth in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 527-533.
    2. Bejaoui, Azza & Karaa, Adel, 2016. "Revisiting the bull and bear markets notions in the Tunisian stock market: New evidence from multi-state duration-dependence Markov-switching models," Economic Modelling, Elsevier, vol. 59(C), pages 529-545.

  3. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model," Economics Letters, Elsevier, vol. 125(1), pages 93-96.
    See citations under working paper version above.
  4. Akay, Ozgur (Ozzy) & Senyuz, Zeynep & Yoldas, Emre, 2013. "Hedge fund contagion and risk-adjusted returns: A Markov-switching dynamic factor approach," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 16-29.

    Cited by:

    1. Franck Martin & Mai lan Nguyen, 2015. "Asymmetric dynamics in the correlations of hedge fund strategy indices: what lessons about financial contagion ?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2110-2125.
    2. Bussière, Matthieu & Hoerova, Marie & Klaus, Benjamin, 2015. "Commonality in hedge fund returns: Driving factors and implications," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 266-280.
    3. Aristeidis, Samitas & Elias, Kampouris, 2018. "Empirical analysis of market reactions to the UK’s referendum results – How strong will Brexit be?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 263-286.
    4. Stafylas, Dimitrios & Anderson, Keith & Uddin, Moshfique, 2017. "Recent advances in explaining hedge fund returns: Implicit factors and exposures," Global Finance Journal, Elsevier, vol. 33(C), pages 69-87.

  5. González-Rivera, Gloria & Yoldas, Emre, 2012. "Autocontour-based evaluation of multivariate predictive densities," International Journal of Forecasting, Elsevier, vol. 28(2), pages 328-342.

    Cited by:

    1. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    2. Gloria Gonzalez-Rivera & Yingying Sun, 2016. "Density Forecast Evaluation in Unstable Environments," Working Papers 201606, University of California at Riverside, Department of Economics.
    3. Gloria Gonzalez-Rivera & Joao Henrique Mazzeu & Esther Ruiz & Helena Veiga, 2017. "A Bootstrap Approach for Generalized Autocontour Testing. Implications for VIX Forecast Densities," Working Papers 201709, University of California at Riverside, Department of Economics.
    4. Francisco Covas & Ben Rump & Egon Zakrajsek, 2013. "Stress-testing U.S. bank holding companies: a dynamic panel quantile regression approach," Finance and Economics Discussion Series 2013-55, Board of Governors of the Federal Reserve System (U.S.).
    5. Yves Dominicy & Hiroaki Ogata & David Veredas, 2013. "Inference for vast dimensional elliptical distributions," Computational Statistics, Springer, vol. 28(4), pages 1853-1880, August.
    6. Dovern, Jonas & Manner, Hans, 2016. "Order Invariant Evaluation of Multivariate Density Forecasts," Working Papers 0608, University of Heidelberg, Department of Economics.
    7. Gonçalves Mazzeu, Joao Henrique & González-Rivera, Gloria & Ruiz, Esther & Veiga, Helena, 2016. "A Bootstrap Approach for Generalized Autocontour Testing," DES - Working Papers. Statistics and Econometrics. WS 23457, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. González-Rivera, Gloria & Sun, Yingying, 2015. "Generalized autocontours: Evaluation of multivariate density models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 799-814.

  6. González-Rivera, Gloria & Senyuz, Zeynep & Yoldas, Emre, 2011. "Autocontours: Dynamic Specification Testing," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 186-200.

    Cited by:

    1. Gloria Gonzalez-Rivera & Yingying Sun, 2016. "Density Forecast Evaluation in Unstable Environments," Working Papers 201606, University of California at Riverside, Department of Economics.
    2. Gloria Gonzalez-Rivera & Joao Henrique Mazzeu & Esther Ruiz & Helena Veiga, 2017. "A Bootstrap Approach for Generalized Autocontour Testing. Implications for VIX Forecast Densities," Working Papers 201709, University of California at Riverside, Department of Economics.
    3. Andres, P. & Harvey, A., 2012. "The Dyanamic Location/Scale Model: with applications to intra-day financial data," Cambridge Working Papers in Economics 1240, Faculty of Economics, University of Cambridge.
    4. Igor Kheifets, 2014. "Specification Tests for Nonlinear Dynamic Models," Cowles Foundation Discussion Papers 1937, Cowles Foundation for Research in Economics, Yale University, revised Oct 2014.
    5. Bermejo, Miguel Ángel & Peña, Daniel & Sánchez, Ismael, 2011. "Densidad de predicción basada en momentos condicionados y máxima entropía : aplicación a la predicción de potencia eólica," DES - Working Papers. Statistics and Econometrics. WS ws111813, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Gloria Gonzalez-Rivera & Emre Yoldas, 2010. "Multivariate Autocontours for Specification Testing in Multivariate GARCH Models," Working Papers 201436, University of California at Riverside, Department of Economics.
    7. Harvey, A., 2010. "Exponential Conditional Volatility Models," Cambridge Working Papers in Economics 1040, Faculty of Economics, University of Cambridge.
    8. Yves Dominicy & Hiroaki Ogata & David Veredas, 2013. "Inference for vast dimensional elliptical distributions," Computational Statistics, Springer, vol. 28(4), pages 1853-1880, August.
    9. Gonçalves Mazzeu, Joao Henrique & González-Rivera, Gloria & Ruiz, Esther & Veiga, Helena, 2016. "A Bootstrap Approach for Generalized Autocontour Testing," DES - Working Papers. Statistics and Econometrics. WS 23457, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. González-Rivera, Gloria & Sun, Yingying, 2015. "Generalized autocontours: Evaluation of multivariate density models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 799-814.

  7. Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Yoldas, Emre, 2007. "Optimality of the RiskMetrics VaR model," Finance Research Letters, Elsevier, vol. 4(3), pages 137-145, September.

    Cited by:

    1. Marco Taboga, 2009. "The riskiness of corporate bonds," Temi di discussione (Economic working papers) 730, Bank of Italy, Economic Research and International Relations Area.
    2. Gloria González-Rivera & Tae-Hwy Lee, 2007. "Nonlinear Time Series in Financial Forecasting," Working Papers 200803, University of California at Riverside, Department of Economics, revised Feb 2008.
    3. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    4. Krastyu Georgiev & Young Kim & Stoyan Stoyanov, 2015. "Periodic portfolio revision with transaction costs," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 81(3), pages 337-359, June.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 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-MAC: Macroeconomics (7) 2012-05-15 2013-09-25 2014-08-25 2016-03-06 2016-09-04 2016-10-23 2017-01-15. Author is listed
  2. NEP-FOR: Forecasting (3) 2011-10-22 2012-05-15 2013-09-25
  3. NEP-MON: Monetary Economics (3) 2016-09-04 2016-10-23 2017-01-15
  4. NEP-BEC: Business Economics (2) 2011-10-22 2012-05-15
  5. NEP-CBA: Central Banking (2) 2013-09-25 2017-01-15
  6. NEP-FDG: Financial Development & Growth (2) 2013-02-16 2014-08-25
  7. NEP-CIS: Confederation of Independent States (1) 2011-10-22
  8. NEP-GRO: Economic Growth (1) 2014-08-25
  9. NEP-LAM: Central & South America (1) 2013-09-25
  10. NEP-LTV: Unemployment, Inequality & Poverty (1) 2013-09-25
  11. NEP-NEU: Neuroeconomics (1) 2013-09-25
  12. NEP-PBE: Public Economics (1) 2013-02-16

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