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Emre Yoldas

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Shaghil Ahmed & Jasper Hoek & Steven B. Kamin & Ben Smith & Emre Yoldas, 2020. "The Impact of COVID-19 on Emerging Market Economies' Financial Conditions," FEDS Notes 2020-10-07-1, Board of Governors of the Federal Reserve System (U.S.).

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Emerging markets

Working papers

  1. Jasper Hoek & Steven B. Kamin & Emre Yoldas, 2021. "Are Rising U.S. Interest Rates Destabilizing for Emerging Market Economies?," FEDS Notes 2021-06-23-2, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Gudmundsson, Tryggvi & Klyuev, Vladimir & Medina, Leandro & Nandwa, Boaz & Plotnikov, Dmitry & Schiffrer, Francisco & Yang, Di, 2022. "Emerging markets: Prospects and challenges," Journal of Policy Modeling, Elsevier, vol. 44(4), pages 827-841.

  2. Jasper Hoek & Steven B. Kamin & Emre Yoldas, 2020. "When is Bad News Good News? U.S. Monetary Policy, Macroeconomic News, and Financial Conditions in Emerging Markets," International Finance Discussion Papers 1269, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Ca' Zorzi, Michele & Dedola, Luca & Georgiadis, Georgios & Jarociński, Marek & Stracca, Livio & Strasser, Georg, 2020. "Monetary policy and its transmission in a globalised world," Working Paper Series 2407, European Central Bank.
    2. Richard H. Clarida, 2019. "Monetary Policy, Price Stability, and Equilibrium Bond Yields: Success and Consequences : a speech at the High-Level Conference on Global Risk, Uncertainty, And Volatility, co-sponsored by the Bank fo," Speech 1102, Board of Governors of the Federal Reserve System (U.S.).
    3. Arbatli-Saxegaard, Elif & Furceri, Davide & González, Pablo & Ostry, Jonathan D. & Peiris, Shanaka, 2024. "Spillovers from US Monetary Policy: Role of Policy Drivers and Cyclical Conditions," CEPR Discussion Papers 18768, C.E.P.R. Discussion Papers.
    4. Karau, Sören, 2021. "Monetary policy and Bitcoin," Discussion Papers 41/2021, Deutsche Bundesbank.
    5. Richard H. Clarida, 2021. "Perspectives on Global Monetary Policy Coordination, Cooperation, and Correlation: a speech at the "Macroeconomic Policy and Global Economic Recovery" 2021 Asia Economic Policy Conference, s," Speech 93388, Board of Governors of the Federal Reserve System (U.S.).

  3. Shaghil Ahmed & Jasper Hoek & Steven B. Kamin & Ben Smith & Emre Yoldas, 2020. "The Impact of COVID-19 on Emerging Market Economies' Financial Conditions," FEDS Notes 2020-10-07-1, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Harjoto, Maretno Agus & Rossi, Fabrizio & Lee, Robert & Sergi, Bruno S., 2021. "How do equity markets react to COVID-19? Evidence from emerging and developed countries," Journal of Economics and Business, Elsevier, vol. 115(C).
    2. Wenbo Wang & Hail Park, 2021. "How Vulnerable Are Financial Markets to COVID-19? A Comparative Study of the US and South Korea," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    3. Chen, Hongyi & Tillmann, Peter, 2023. "Lockdown spillovers," Journal of International Money and Finance, Elsevier, vol. 137(C).
    4. Giofré, Maela, 2022. "Foreign investment in times of COVID-19: How strong is the flight to advanced economies?," Journal of Multinational Financial Management, Elsevier, vol. 64(C).
    5. Daniel Felix Ahelegbey & Paola Cerchiello & Roberta Scaramozzino, 2021. "Network Based Evidence of the Financial Impact of Covid-19 Pandemic," DEM Working Papers Series 198, University of Pavia, Department of Economics and Management.
    6. World Bank, 2021. "Global Economic Prospects, January 2021," World Bank Publications - Books, The World Bank Group, number 34710.
    7. Ahelegbey, Daniel Felix & Celani, Alessandro & Cerchiello, Paola, 2024. "Measuring the impact of the EU health emergency response authority on the economic sectors and the public sentiment," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    8. Davis, J. Scott & Zlate, Andrei, 2023. "The global financial cycle and capital flows during the COVID-19 pandemic," European Economic Review, Elsevier, vol. 156(C).

  4. 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. Eisenschmidt, Jens & Ma, Yiming & Zhang, Anthony Lee, 2024. "Monetary policy transmission in segmented markets," Journal of Financial Economics, Elsevier, vol. 151(C).
    3. Aneta Hryckiewicz & Piotr Mielus & Karolina Skorulska & Malgorzata Snarska, 2018. "Does a bank levy increase frictions on the interbank market?," KAE Working Papers 2018-033, Warsaw School of Economics, Collegium of Economic Analysis.
    4. Corradin, Stefano & Eisenschmidt, Jens & Hoerova, Marie & Linzert, Tobias & Schepens, Glenn & Sigaux, Jean-David, 2020. "Money markets, central bank balance sheet and regulation," Working Paper Series 2483, European Central Bank.
    5. Sriya Anbil & Zeynep Senyuz, 2018. "The Regulatory and Monetary Policy Nexus in the Repo Market," Finance and Economics Discussion Series 2018-027, Board of Governors of the Federal Reserve System (U.S.).
    6. Michael Boutros & Jonathan Witmer, 2020. "Monetary Policy Implementation in a Negative Rate Environment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(2-3), pages 441-470, March.
    7. William Arrata & Benoit Nguyen & Imene Rahmouni-Rousseau & Miklos Vari, 2018. "The Scarcity Effect of Quantitative Easing on Repo Rates: Evidence from the Euro Area," IMF Working Papers 2018/258, International Monetary Fund.
    8. Jane E. Ihrig & Zeynep Senyuz & Gretchen C. Weinbach, 2020. "The Fed’s “Ample-Reserves” Approach to Implementing Monetary Policy," Finance and Economics Discussion Series 2020-022, Board of Governors of the Federal Reserve System (U.S.).
    9. Christopher S. Sutherland, 2017. "What Explains Month-End Funding Pressure in Canada?," Discussion Papers 17-9, Bank of Canada.
    10. Arrata, William & Nguyen, Benoît & Rahmouni-Rousseau, Imène & Vari, Miklos, 2020. "The scarcity effect of QE on repo rates: Evidence from the euro area," Journal of Financial Economics, Elsevier, vol. 137(3), pages 837-856.
    11. Michael Boutros & Jonathan Witmer, 2017. "Monetary Policy Implementation in a Negative Rate Environment," Staff Working Papers 17-25, Bank of Canada.
    12. Ahmed S. Baig & Drew B. Winters, 2021. "Month-End Regularities in the Overnight Bank Funding Markets," JRFM, MDPI, vol. 14(5), pages 1-16, May.
    13. James D. Hamilton, 2019. "Perspectives on U.S. Monetary Policy Tools and Instruments," NBER Working Papers 25911, National Bureau of Economic Research, Inc.

  5. 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, 2018. "Computing Long-Term Market Inflation Expectations for Countries without Inflation Expectation Markets," Russian Journal of Money and Finance, Bank of Russia, vol. 77(3), pages 23-48, September.
    2. Marc de la Barrera & Juraj Falath & Dorian Henricot & Jean-Alexandre Vaglio, 2017. "The Impact of Forward Guidance on Inflation Expectations: Evidence from the ECB," Working Papers 1010, Barcelona School of Economics.

  6. Zeynep Senyuz & Emre Yoldas, 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. Yao, Xiaoyang & Le, Wei & Sun, Xiaolei & Li, Jianping, 2020. "Financial stress dynamics in China: An interconnectedness perspective," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 217-238.
    2. Aneta Hryckiewicz & Piotr Mielus & Karolina Skorulska & Malgorzata Snarska, 2018. "Does a bank levy increase frictions on the interbank market?," KAE Working Papers 2018-033, Warsaw School of Economics, Collegium of Economic Analysis.
    3. 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.).
    4. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.

  7. Deniz Baglan & Emre Yoldas, 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. Deniz Baglan & Emre Yoldas, 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.).
    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 (Шагас, Наталья) & Bojechkova, A.V. (Божечкова, А.В.) & Perevyshin, Y.N. (Перевышин, Ю.Н.) & Perevyshina, E.A. (Перевышина, Е.А.), 2016. "Modeling of State Influence on the Processes of Economic Growth [Моделирование Воздействия Государства На Процессы Экономического Роста]," Working Papers 2132, Russian Presidential Academy of National Economy and Public Administration.
    6. Thouraya BOUJELBENE, 2021. "Nonlinearity Relationship of Inflation and Economic Growth: Role of Institutions Quality," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 166-179, December.
    7. M. Jonathan C. Eklund, 2022. "Do multinational firms respond to personal dividend income tax rates?," Empirical Economics, Springer, vol. 62(4), pages 1743-1771, April.
    8. Tang, Maogang & Li, Xiuzhen & Zhang, Yun & Wu, Yingtao & Wu, Baijun, 2020. "From command-and-control to market-based environmental policies: Optimal transition timing and China’s heterogeneous environmental effectiveness," Economic Modelling, Elsevier, vol. 90(C), pages 1-10.
    9. He, Qichun, 2023. "The inverted-U effect of inflation on growth: Cross-country evidence," Economic Modelling, Elsevier, vol. 128(C).
    10. Thomas L. Hogan & William J. Luther, 2020. "Suboptimal Equilibria from Nominal GDP Targeting," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 35(Summer 20), pages 61-76.
    11. Yanfang LYU & Linhui ZHAO & Dong WANG, 2023. "An Analysis of the Impact of US-China Trade Frictions on Chinese Manufacturing Industries from the Perspective of Trade Gains," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 43-56, December.
    12. Nell, Kevin, 2023. "Inflation and growth in developing economies: A tribute to Professor Thirlwall," MPRA Paper 118757, University Library of Munich, Germany, revised 01 Sep 2023.
    13. He, Qichun & Zhang, Zhixiang, 2019. "Inflation and Growth: An Inverted-U Relationship," MPRA Paper 97092, University Library of Munich, Germany.
    14. Yingtao Wu & Maogang Tang & Zhonghao Zhang & Baijun Wu, 2019. "Whether Urban Development and Ecological Protection Can Achieve a Win-Win Situation—The Nonlinear Relationship between Urbanization and Ecosystem Service Value in China," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    15. Grolleau, Gilles & Weber, Christoph, 2024. "The effect of inflation on CO2 emissions: An analysis over the period 1970–2020," Ecological Economics, Elsevier, vol. 217(C).
    16. Tomáš Urbanovský, 2017. "Granger Causalities Between Interest Rate, Price Level, Money Supply and Real Gdp in the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 745-757.
    17. 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.
    18. 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.
    19. 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.
    20. Alexander William Salter & Thomas L. Hogan, 2019. "Expectations and NGDP Targeting: Supply-Side Problems with Demand-Side Policy," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 34(Fall 2019), pages 89-106.
    21. Baharudin, Azfar Hilmi, 2018. "A Bayesian Vector Autoregressive Analysis of Price and Industrial Shocks on the Malaysian Economy," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 191-204.
    22. Thouraya Boujelbène Dammak & Kamel Helali, 2017. "Threshold Effects on the Relationship Between Inflation Rate and Economic Growth in Tunisia," International Economic Journal, Taylor & Francis Journals, vol. 31(2), pages 310-325, April.

  8. 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. Séverine MENGUY, 2019. "Does public indebtedness constrain or can it favor economic growth? A simple analytical modeling," Bulletin of Applied Economics, Risk Market Journals, vol. 6(2), pages 1-29.
    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. Mohammed Daher Alshammary & Zulkefly Abdul Karim & Norlin Khalid & Riayati Ahmad, 2020. "Debt-Growth Nexus in the MENA Region: Evidence from a Panel Threshold Analysis," Economies, MDPI, vol. 8(4), pages 1-12, November.
    5. Blessy Augustine & O.P.C. Muhammed Rafi, 2021. "Public Debt - Economic Growth: Evidence of a Non-linear Relationship," BASE University Working Papers 11/2021, BASE University, Bengaluru, India.
    6. Sokbae (Simon) 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 39/14, Institute for Fiscal Studies.
    7. 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.
    8. Goldberg, Andrew & Romalis, John, 2015. "Public Debt and Growth in U.S. States," Working Papers 2015-10, University of Sydney, School of Economics.
    9. Guillaume Cléaud & Francisco de Castro Fernández & Jorge Durán Laguna & Lucia Granelli & Martin Hallet & Anne Jaubertie & Carlos Maravall Rodriguez & Diana Ognyanova & Balazs Palvolgyi & Tsvetan Tsali, 2019. "Cruising at Different Speeds: Similarities and Divergences between the German and the French Economies," European Economy - Discussion Papers 103, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. 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.

  9. Marcelle Chauvet & Zeynep Senyuz & Emre Yoldas, 2012. "What does financial volatility tell us about macroeconomic fluctuations?," Finance and Economics Discussion Series 2012-09, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2019. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Working Paper series 19-03, Rimini Centre for Economic Analysis.
    2. 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.
    3. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," Working Papers hal-04141198, HAL.
    4. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2021. "The impact of hedging on risk-averse agents’ output decisions," Economic Modelling, Elsevier, vol. 104(C).
    5. 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.
    6. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    7. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," Working Papers halshs-02443364, HAL.
    8. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy," Post-Print hal-01549625, HAL.
    9. 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.
    10. Tran, Thuy Nhung, 2022. "The Volatility of the Stock Market and Financial Cycle: GARCH Family Models," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(1), pages 151-168.
    11. Li, Xiao-Ming & Qiu, Mei, 2021. "The joint effects of economic policy uncertainty and firm characteristics on capital structure: Evidence from US firms," Journal of International Money and Finance, Elsevier, vol. 110(C).
    12. Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
    13. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy: Evidence from an Uncertainty Composite Indicator," Working Papers 2017-25, CEPII research center.
    14. Yin, Libo & Feng, Jiabao & Liu, Li & Wang, Yudong, 2019. "It's not that important: The negligible effect of oil market uncertainty," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 62-84.
    15. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
    16. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2018. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," Financial and Monetary Policy Studies, in: Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), International Macroeconomics in the Wake of the Global Financial Crisis, pages 159-181, Springer.
    17. Zhang, Lili & Zhong, Juandan, 2024. "Transportation sector and Chinese stock volatility forecasting: Evidence from freight and passenger traffic," Finance Research Letters, Elsevier, vol. 60(C).
    18. Jixiang, Zhang & Feng, Ma, 2024. "Video apps user engagement and stock market volatility: Evidence from China," Finance Research Letters, Elsevier, vol. 64(C).
    19. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    20. 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.
    21. John Cotter & Mark Hallam & Kamil Yilmaz, 2017. "Mixed-frequency macro-financial spillovers," Working Papers 201704, Geary Institute, University College Dublin.
    22. Duo Qin & Sophie van Huellen & Qing Chao Wang & Thanos Moraitis, 2022. "Algorithmic Modelling of Financial Conditions for Macro Predictive Purposes: Pilot Application to USA Data," Econometrics, MDPI, vol. 10(2), pages 1-22, April.
    23. Xianfei Hui & Baiqing Sun & Indranil SenGupta & Yan Zhou & Hui Jiang, 2022. "Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning," Papers 2204.02891, arXiv.org, revised Jan 2023.
    24. 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.
    25. McIver, Ron P. & Kang, Sang Hoon, 2020. "Financial crises and the dynamics of the spillovers between the U.S. and BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 54(C).
    26. Yunus Emre Ergemen, 2022. "Parametric Estimation of Long Memory in Factor Models," CREATES Research Papers 2022-10, Department of Economics and Business Economics, Aarhus University.
    27. Nonejad, Nima, 2020. "A comprehensive empirical analysis of the predictive impact of the price of crude oil on aggregate equity return volatility," Journal of Commodity Markets, Elsevier, vol. 20(C).
    28. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    29. Feng He & Libo Yin, 2021. "Shocks to the equity capital ratio of financial intermediaries and the predictability of stock return volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 945-962, September.
    30. Wang, Yudong & Wei, Yu & Wu, Chongfeng & Yin, Libo, 2018. "Oil and the short-term predictability of stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 90-104.

  10. 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.

    Cited by:

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

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.

    Cited by:

    1. Guo, Minjie & McDermott, John, 2020. "Sovereign debt and the length of economic depressions," Economic Modelling, Elsevier, vol. 90(C), pages 79-91.
    2. Janice Boucher Breuer & John McDermott, 2019. "Debt And Depression," Contemporary Economic Policy, Western Economic Association International, vol. 37(4), pages 714-730, October.
    3. Kassouri, Yacouba & Altıntaş, Halil & Alancioğlu, Erdal & Kacou, Kacou Yves Thierry, 2021. "New insights on the debt-growth nexus: A combination of the interactive fixed effects and panel threshold approach," International Economics, Elsevier, vol. 168(C), pages 40-55.
    4. Yun Jung Kim & Jing Zhang, 2020. "The Relationship between Debt and Output," Working Paper Series WP-2020-30, Federal Reserve Bank of Chicago.
    5. Larissa Batrancea, 2020. "The Influence of Public Debt on Performance: Lesson from Romanian Counties," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 809-814, December.
    6. Malte Rengel, 2020. "Sustainability of European fiscal balances: Just a statistical artifact?," Empirical Economics, Springer, vol. 58(4), pages 1681-1712, April.

  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.
    See citations under working paper version above.
  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. 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. Yilmazkuday, Hakan & Akay, Koray, 2008. "An analysis of regime shifts in the Turkish economy," Economic Modelling, Elsevier, vol. 25(5), pages 885-898, September.
    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. Gürkan Bozma & Murat Akadg & Rahman Aydin, 2021. "Dynamic Relationships between Oil Price, Inflation and Economic Growth: A VARMA, GARCH-in-mean, asymmetric BEKK Model for Turkey," Economics Bulletin, AccessEcon, vol. 41(3), pages 1266-1281.
    4. 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.

  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.

    Cited by:

    1. Georgescu, Oana-Maria, 2015. "Contagion in the interbank market: Funding versus regulatory constraints," Journal of Financial Stability, Elsevier, vol. 18(C), pages 1-18.
    2. Stafylas, Dimitrios & Andrikopoulos, Athanasios, 2020. "Determinants of hedge fund performance during ‘good’ and ‘bad’ economic periods," Research in International Business and Finance, Elsevier, vol. 52(C).
    3. Racicot, François-Éric & Théoret, Raymond, 2018. "Multi-moment risk, hedging strategies, & the business cycle," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 637-675.
    4. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2021. "Hedging stocks with oil," Energy Economics, Elsevier, vol. 93(C).
    5. Karanasos, M. & Yfanti, S., 2021. "On the Economic fundamentals behind the Dynamic Equicorrelations among Asset classes: Global evidence from Equities, Real estate, and Commodities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    6. MeiChi Huang, 2019. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1547-1563, April.
    7. Doina PRODAN-PALADE, 2017. "Bankruptcy risk prediction models based on artificial neural networks," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 15(147), pages 418-418.
    8. Hamed Amini & Andreea Minca, 2014. "Inhomogeneous Financial Networks and Contagious Links," Working Papers hal-01081559, HAL.
    9. 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.
    10. Guglielmo Maria Caporale & Stavroula Yfanti & Menelaos Karanasos & Jiaying Wu, 2024. "Financial integration and European tourism stocks," Chapters, in: Guglielmo M. Caporale (ed.), Handbook of Financial Integration, chapter 21, pages 495-538, Edward Elgar Publishing.
    11. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    12. Frank Hespeler & Giuseppe Loiacono, 2017. "Monitoring systemic risk in the hedge fund sector," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1859-1883, December.
    13. Andrea Aguiar & Rick Bookstaber & Thomas Wipf, 2014. "A Map of Funding Durability and Risk," Working Papers 14-03, Office of Financial Research, US Department of the Treasury.
    14. Mardi Dungey & Eric Renault, 2018. "Identifying contagion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 227-250, March.
    15. Massimo Guidolin & Alexei Orlov, 2020. "Are Unconventional Monetary Policies a Priced Risk Factor for Hedge Fund Strategies?," BAFFI CAREFIN Working Papers 20146, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    16. Newton, David & Platanakis, Emmanouil & Stafylas, Dimitrios & Sutcliffe, Charles & Ye, Xiaoxia, 2021. "Hedge fund strategies, performance &diversification: A portfolio theory & stochastic discount factor approach," The British Accounting Review, Elsevier, vol. 53(5).
    17. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    18. Stafylas, Dimitrios & Andrikopoulos, Athanasios & Tolikas, Konstantinos, 2023. "Hedge fund performance persistence under different business cycles and stock market regimes," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    19. 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.
    20. Rama Cont & Andreea Minca, 2016. "Credit default swaps and systemic risk," Annals of Operations Research, Springer, vol. 247(2), pages 523-547, December.
    21. Mardi Dungey & Jet Holloway & Abdullah Yalaman & Wenying Yao, 2022. "Characterizing financial crises using high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 22(4), pages 743-760, April.
    22. Tareq Saeed & Elie Bouri & Dang Khoa Tran, 2020. "Hedging Strategies of Green Assets against Dirty Energy Assets," Energies, MDPI, vol. 13(12), pages 1-17, June.
    23. 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.
    24. 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. 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. Gloria Gonzalez-Rivera & Yingying Sun, 2016. "Density Forecast Evaluation in Unstable Environments," Working Papers 201606, University of California at Riverside, Department of Economics.
    2. Knüppel, Malte & Krüger, Fabian & Pohle, Marc-Oliver, 2022. "Score-based calibration testing for multivariate forecast distributions," Discussion Papers 50/2022, Deutsche Bundesbank.
    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. Barbara Rossi & Tatevik Sekhposyan, 2014. "Alternative tests for correct specification of conditional predictive densities," Economics Working Papers 1416, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2017.
    5. Francisco Covas & Ben Rump & Egon Zakrajšek, 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.).
    6. Yves Dominicy & Hiroaki Ogata & David Veredas, 2013. "Inference for vast dimensional elliptical distributions," Computational Statistics, Springer, vol. 28(4), pages 1853-1880, August.
    7. Gloria Gonzalez-Rivera & Yun Luo & Esther Ruiz, 2019. "Prediction Regions for Interval-valued Time Series," Working Papers 201921, University of California at Riverside, Department of Economics.
    8. González-Rivera, Gloria & 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.
    9. Gloria Gonzalez-Rivera & Yingying Sun, 2014. "Generalized Autocontours: Evaluation of Multivariate Density Models," Working Papers 201431, University of California at Riverside, Department of Economics.
    10. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    11. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    12. Dovern, Jonas & Manner, Hans, 2016. "Order Invariant Evaluation of Multivariate Density Forecasts," Working Papers 0608, University of Heidelberg, Department of Economics.

  7. 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 L. Kheifets, 2015. "Specification tests for nonlinear dynamic models," Econometrics Journal, Royal Economic Society, vol. 18(1), pages 67-94, February.
    5. Barbara Rossi & Tatevik Sekhposyan, 2014. "Alternative tests for correct specification of conditional predictive densities," Economics Working Papers 1416, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2017.
    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. González-Rivera, Gloria & Yoldas, Emre, 2012. "Autocontour-based evaluation of multivariate predictive densities," International Journal of Forecasting, Elsevier, vol. 28(2), pages 328-342.
    10. González-Rivera, Gloria & 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.
    11. Gloria Gonzalez-Rivera & Yingying Sun, 2014. "Generalized Autocontours: Evaluation of Multivariate Density Models," Working Papers 201431, University of California at Riverside, Department of Economics.
    12. Gloria Gonzalez-Rivera & Yun Luo, 2020. "A Truncated Mixture Transition Model for Interval-valued Time Series," Working Papers 202005, University of California at Riverside, Department of Economics.
    13. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    14. 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.

  8. 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. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    3. 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.
    4. 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.

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