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Julieta Yung

Personal Details

First Name:Julieta
Middle Name:
Last Name:Yung
Suffix:
RePEc Short-ID:pyu189
[This author has chosen not to make the email address public]
https://sites.google.com/site/yungjulieta/home
Federal Deposit Insurance Corporation 550 17th Street, NW Washington, DC 20429 United States
Terminal Degree:2014 Department of Economics; University of Notre Dame (from RePEc Genealogy)

Affiliation

Federal Deposit Insurance Corporation (FDIC)
Government of the United States

Washington, District of Columbia (United States)
http://www.fdic.gov/
RePEc:edi:fdigvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mr. Ralph Chami & Mr. Thomas F. Cosimano & Ms. Celine Rochon & Julieta Yung, 2020. "Riding the Yield Curve: Risk Taking Behavior in a Low Interest Rate Environment," IMF Working Papers 2020/053, International Monetary Fund.
  2. Bluwstein, Kristina & Yung, Julieta, 2019. "Back to the real economy: the effects of risk perception shocks on the term premium and bank lending," Bank of England working papers 806, Bank of England.
  3. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.
  4. Everett Grant & Julieta Yung, 2017. "The Double-Edged Sword of Global Integration: Robustness, Fragility & Contagion in the International Firm Network," Globalization Institute Working Papers 313, Federal Reserve Bank of Dallas.
  5. Julieta Yung, 2014. "Can interest rate factors explain exchange rate fluctuations?," Globalization Institute Working Papers 207, Federal Reserve Bank of Dallas.

Articles

  1. Yung, Julieta, 2021. "Can interest rate factors explain exchange rate fluctuations?," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 34-56.
  2. Crawley, Andrew & Welch, Sarah & Yung, Julieta, 2021. "Improving estimates of job matching efficiency with different measures of unemployment," Journal of Macroeconomics, Elsevier, vol. 67(C).
  3. Saltzman, Bennett & Yung, Julieta, 2018. "A machine learning approach to identifying different types of uncertainty," Economics Letters, Elsevier, vol. 171(C), pages 58-62.
  4. Everett Grant & Julieta Yung, 2018. "Global Interfirm Network Reveals Centrality of U.S. and Financial Sector," Economic Letter, Federal Reserve Bank of Dallas, vol. 13(2), pages 1-4, February.
  5. Christoffer Koch & Julieta Yung, 2017. "Impact of Macroeconomic Surprises Changed After Zero Lower Bound," Economic Letter, Federal Reserve Bank of Dallas, vol. 12(8), pages 1-4, July.
  6. Julieta Yung, 2016. "Stock market provides imperfect view of real U.S. economy," Economic Letter, Federal Reserve Bank of Dallas, vol. 11(4), pages 1-4, May.
  7. Mark A. Wynne & Julieta Yung, 2015. "Spillovers of Conventional and Unconventional Monetary Policy: The Role of Real and Financial Linkages," Annual Report, Globalization and Monetary Policy Institute, Federal Reserve Bank of Dallas, pages 22-27.

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. Bluwstein, Kristina & Yung, Julieta, 2019. "Back to the real economy: the effects of risk perception shocks on the term premium and bank lending," Bank of England working papers 806, Bank of England.

    Cited by:

    1. Agnello, Luca & Castro, Vítor & Sousa, Ricardo M., 2022. "On the international co-movement of natural interest rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).

  2. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.

    Cited by:

    1. Zhang, Si Ying, 2021. "Using equity market reactions and network analysis to infer global supply chain interdependencies in the context of COVID-19," Journal of Economics and Business, Elsevier, vol. 115(C).
    2. Everett Grant & Julieta Yung, 2021. "The double‐edged sword of global integration: Robustness, fragility, and contagion in the international firm network," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 760-783, September.

  3. Everett Grant & Julieta Yung, 2017. "The Double-Edged Sword of Global Integration: Robustness, Fragility & Contagion in the International Firm Network," Globalization Institute Working Papers 313, Federal Reserve Bank of Dallas.

    Cited by:

    1. Hale, Galina & Lopez, Jose A., 2019. "Monitoring banking system connectedness with big data," Journal of Econometrics, Elsevier, vol. 212(1), pages 203-220.
    2. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.

  4. Julieta Yung, 2014. "Can interest rate factors explain exchange rate fluctuations?," Globalization Institute Working Papers 207, Federal Reserve Bank of Dallas.

    Cited by:

    1. Sadeghi, Abdorasoul & Tayebi, Seyed Komail & Roudari, Soheil, 2023. "Financial markets, inflation and growth: The impact of monetary policy under different political structures," Journal of Policy Modeling, Elsevier, vol. 45(5), pages 935-956.
    2. Liu, Tie-Ying & Lin, Ye, 2024. "Who has mastered exchange rate ups and downs: China or the United States?," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    3. Vania Stavrakeva & Jenny Tang, 2015. "Exchange rates and monetary policy," Working Papers 15-16, Federal Reserve Bank of Boston.
    4. Cho, Sungjun & Hyde, Stuart & Liu, Liu, 2022. "The yen–dollar risk premium: A story of regime shifts in bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    5. Ziyun Zhang & Sen Guo, 2021. "What Factors Affect the RMB Carry Trade Return for Sustainability? An Empirical Analysis by Using an ARDL Model," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    6. Mr. Ralph Chami & Mr. Thomas F. Cosimano & Ms. Celine Rochon & Julieta Yung, 2020. "Riding the Yield Curve: Risk Taking Behavior in a Low Interest Rate Environment," IMF Working Papers 2020/053, International Monetary Fund.
    7. Meldrum, Andrew & Raczko, Marek & Spencer, Peter, 2023. "The information in joint term structures of bond yields," Journal of International Money and Finance, Elsevier, vol. 134(C).
    8. Zhang, Ziyun & Chen, Su & Li, Bo, 2022. "Does previous carry trade position affect following investors' decision-making and carry returns?," International Review of Financial Analysis, Elsevier, vol. 80(C).
    9. Adhitya Wardhono & Badara Shofi Dana & M.Abd. Nasir, 2017. "Rethinking the exchange rate disconnect puzzle theory in ASEAN-6," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 9(1), pages 98-103, April.

Articles

  1. Yung, Julieta, 2021. "Can interest rate factors explain exchange rate fluctuations?," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 34-56.
    See citations under working paper version above.
  2. Crawley, Andrew & Welch, Sarah & Yung, Julieta, 2021. "Improving estimates of job matching efficiency with different measures of unemployment," Journal of Macroeconomics, Elsevier, vol. 67(C).

    Cited by:

    1. René Böheim & Michael Christl, 2021. "Mismatch unemployment in Austria," Economics working papers 2021-06, Department of Economics, Johannes Kepler University Linz, Austria.
    2. René Böheim & Michael Christl, 2022. "Mismatch unemployment in Austria: the role of regional labour markets for skills," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 9(1), pages 208-222, December.

  3. Saltzman, Bennett & Yung, Julieta, 2018. "A machine learning approach to identifying different types of uncertainty," Economics Letters, Elsevier, vol. 171(C), pages 58-62.

    Cited by:

    1. Ivana Lolić & Petar Sorić & Marija Logarušić, 2022. "Economic Policy Uncertainty Index Meets Ensemble Learning," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 401-437, August.
    2. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    3. Svetlana Kresova & Sebastian Hess, 2022. "Identifying the Determinants of Regional Raw Milk Prices in Russia Using Machine Learning," Agriculture, MDPI, vol. 12(7), pages 1-18, July.
    4. Azqueta-Gavaldon, Andres, 2023. "Political referenda and investment: Evidence from Scotland," European Journal of Political Economy, Elsevier, vol. 80(C).
    5. Azqueta-Gavaldón, Andrés & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2023. "Sources of Economic Policy Uncertainty in the euro area," European Economic Review, Elsevier, vol. 152(C).
    6. Kyoto Yono & Hiroki Sakaji & Hiroyasu Matsushima & Takashi Shimada & Kiyoshi Izumi, 2020. "Construction of Macroeconomic Uncertainty Indices for Financial Market Analysis Using a Supervised Topic Model," JRFM, MDPI, vol. 13(4), pages 1-18, April.
    7. Wang, Hanjie & Feil, Jan-Henning & Yu, Xiaohua, 2023. "Let the data speak about the cut-off values for multidimensional index: Classification of human development index with machine learning," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    8. Thomas E. Koker & Dimitrios Koutmos, 2020. "Cryptocurrency Trading Using Machine Learning," JRFM, MDPI, vol. 13(8), pages 1-7, August.
    9. Li, Wanli & Su, Yueying & Wang, Kaixiu, 2022. "How does economic policy uncertainty affect cross-border M&A: Evidence from Chinese firms," Emerging Markets Review, Elsevier, vol. 52(C).
    10. Xie, Fangzhou, 2020. "Wasserstein Index Generation Model: Automatic generation of time-series index with application to Economic Policy Uncertainty," Economics Letters, Elsevier, vol. 186(C).
    11. Bhanu Pratap & Nalin Priyaranjan, 2023. "Macroeconomic effects of uncertainty: a Google trends-based analysis for India," Empirical Economics, Springer, vol. 65(4), pages 1599-1625, October.
    12. Azqueta-Gavaldón, Andrés, 2020. "Causal inference between cryptocurrency narratives and prices: Evidence from a complex dynamic ecosystem," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    13. Michael Ryan, 2020. "A Narrative Approach to Creating Instruments with Unstructured and Voluminous Text: An Application to Policy Uncertainty," Working Papers in Economics 20/10, University of Waikato.
    14. Hammoudeh, Shawkat & Uddin, Gazi Salah & Sousa, Ricardo M. & Wadström, Christoffer & Sharmi, Rubaiya Zaman, 2022. "Do pandemic, trade policy and world uncertainties affect oil price returns?," Resources Policy, Elsevier, vol. 77(C).
    15. Śmiech, Sławomir & Papież, Monika & Dąbrowski, Marek A., 2019. "How important are different aspects of uncertainty in driving industrial production in the CEE countries?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 252-266.
    16. Vu M. Ngo & Toan L. D. Huynh & Phuc V. Nguyen & Huan H. Nguyen, 2022. "Public sentiment towards economic sanctions in the Russia–Ukraine war," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(5), pages 564-573, November.
    17. Amrendra Pandey & Jagadish Shettigar & Amarnath Bose, 2021. "Evaluation of the Inflation Forecasting Process of the Reserve Bank of India: A Text Analysis Approach," SAGE Open, , vol. 11(3), pages 21582440211, July.

  4. Christoffer Koch & Julieta Yung, 2017. "Impact of Macroeconomic Surprises Changed After Zero Lower Bound," Economic Letter, Federal Reserve Bank of Dallas, vol. 12(8), pages 1-4, July.

    Cited by:

    1. Ioannis N. Kallianiotis, 2018. "Exchange Rate Expectations," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 8(2), pages 1-5.

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 5 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 (3) 2015-01-19 2019-05-06 2019-07-08
  2. NEP-BEC: Business Economics (2) 2017-06-04 2019-05-06
  3. NEP-DGE: Dynamic General Equilibrium (2) 2019-05-06 2019-07-08
  4. NEP-BAN: Banking (1) 2019-07-08
  5. NEP-DCM: Discrete Choice Models (1) 2017-06-04
  6. NEP-FDG: Financial Development and Growth (1) 2019-07-08
  7. NEP-IND: Industrial Organization (1) 2019-05-06
  8. NEP-INT: International Trade (1) 2017-06-04
  9. NEP-NET: Network Economics (1) 2017-06-04
  10. NEP-OPM: Open Economy Macroeconomics (1) 2015-01-19
  11. NEP-RMG: Risk Management (1) 2020-07-27
  12. NEP-TID: Technology and Industrial Dynamics (1) 2017-06-04
  13. NEP-UPT: Utility Models and Prospect Theory (1) 2020-07-27

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