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Xiaoqing Zhou

Personal Details

First Name:Xiaoqing
Middle Name:
Last Name:Zhou
Suffix:
RePEc Short-ID:pzh744
https://sites.google.com/a/umich.edu/xqzhou/

Affiliation

Federal Reserve Bank of Dallas

Dallas, Texas (United States)
http://www.dallasfed.org/

:


RePEc:edi:frbdaus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Zhou, Xiaoqing, 2019. "Refining the Workhorse Oil Market Model," Working Papers 1910, Federal Reserve Bank of Dallas.
  2. Lutz Kilian & Zhou Xiaoqing, 2019. "Oil Prices, Exchange Rates and Interest Rates," CESifo Working Paper Series 7484, CESifo Group Munich.
  3. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Structural Interpretation of Vector Autoregressions with Incomplete Information: Revisiting the Role of Oil Supply and Demand Shocks: Comment," CEPR Discussion Papers 13068, C.E.P.R. Discussion Papers.
  4. Xiaoqing Zhou, 2018. "Home Equity Extraction and the Boom-Bust Cycle in Consumption and Residential Investment," Staff Working Papers 18-6, Bank of Canada.
  5. Lutz Kilian & Xiaoqing Zhou, 2018. "The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada," Staff Working Papers 18-56, Bank of Canada.
  6. Lutz Kilian & Xiaoqing Zhou, 2018. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks: Comment," CESifo Working Paper Series 7166, CESifo Group Munich.
  7. Christiane Baumeister & Lutz Kilian & Xiaoqing Zhou, 2017. "Is the Discretionary Income Effect of Oil Price Shocks a Hoax?," CESifo Working Paper Series 6369, CESifo Group Munich.
  8. Lutz Kilian & Xiaoqing Zhou, 2017. "Modeling Fluctuations in the Global Demand for Commodities," CESifo Working Paper Series 6749, CESifo Group Munich.
  9. Christiane Baumeister & Lutz Kilian & Xiaoqing Zhou, 2013. "Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis," Staff Working Papers 13-25, Bank of Canada.

Articles

  1. Baumeister, Christiane & Kilian, Lutz & Zhou, Xiaoqing, 2018. "Are Product Spreads Useful For Forecasting Oil Prices? An Empirical Evaluation Of The Verleger Hypothesis," Macroeconomic Dynamics, Cambridge University Press, vol. 22(03), pages 562-580, April.
  2. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Modeling fluctuations in the global demand for commodities," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.

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. Xiaoqing Zhou, 2018. "Home Equity Extraction and the Boom-Bust Cycle in Consumption and Residential Investment," Staff Working Papers 18-6, Bank of Canada.

    Mentioned in:

    1. Home Equity Extraction and the Boom-Bust Cycle in Consumption and Residential Investment
      by Christian Zimmermann in NEP-DGE blog on 2018-02-27 03:26:39

Working papers

  1. Lutz Kilian & Zhou Xiaoqing, 2019. "Oil Prices, Exchange Rates and Interest Rates," CESifo Working Paper Series 7484, CESifo Group Munich.

    Cited by:

    1. Scott M. R. Mahadeo & Reinhold Heinlein & Gabriella Deborah Legrenzi, 2018. "Energy Contagion Analysis: A New Perspective with Application to a Small Petroleum Economy," CESifo Working Paper Series 7279, CESifo Group Munich.

  2. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Structural Interpretation of Vector Autoregressions with Incomplete Information: Revisiting the Role of Oil Supply and Demand Shocks: Comment," CEPR Discussion Papers 13068, C.E.P.R. Discussion Papers.

    Cited by:

    1. Foroni, Claudia & Stracca, Livio, 2019. "Much ado about nothing? The shale oil revolution and the global supply curve," Working Paper Series 2309, European Central Bank.
    2. Lutz Kilian & Xiaoqing Zhou, 2019. "Oil prices, exchange rates, and interest rates," 2019 Meeting Papers 592, Society for Economic Dynamics.

  3. Xiaoqing Zhou, 2018. "Home Equity Extraction and the Boom-Bust Cycle in Consumption and Residential Investment," Staff Working Papers 18-6, Bank of Canada.

    Cited by:

    1. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & William L. Skimmyhorn, 2019. "Borrowing to Save? The Impact of Automatic Enrollment on Debt," NBER Working Papers 25876, National Bureau of Economic Research, Inc.

  4. Lutz Kilian & Xiaoqing Zhou, 2018. "The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada," Staff Working Papers 18-56, Bank of Canada.

    Cited by:

    1. Afees A. Salisu & Rangan Gupta, 2019. "How do Housing Returns in Emerging Countries Respond to Oil Shocks? A MIDAS Touch," Working Papers 201946, University of Pretoria, Department of Economics.
    2. Herrera, Ana María & Karaki, Mohamad B. & Rangaraju, Sandeep Kumar, 2019. "Oil price shocks and U.S. economic activity," Energy Policy, Elsevier, vol. 129(C), pages 89-99.

  5. Lutz Kilian & Xiaoqing Zhou, 2018. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks: Comment," CESifo Working Paper Series 7166, CESifo Group Munich.

    Cited by:

    1. Foroni, Claudia & Stracca, Livio, 2019. "Much ado about nothing? The shale oil revolution and the global supply curve," Working Paper Series 2309, European Central Bank.

  6. Christiane Baumeister & Lutz Kilian & Xiaoqing Zhou, 2017. "Is the Discretionary Income Effect of Oil Price Shocks a Hoax?," CESifo Working Paper Series 6369, CESifo Group Munich.

    Cited by:

    1. Lutz Kilian, 2017. "How the Tight Oil Boom Has Changed Oil and Gasoline Markets," CESifo Working Paper Series 6380, CESifo Group Munich.

  7. Lutz Kilian & Xiaoqing Zhou, 2017. "Modeling Fluctuations in the Global Demand for Commodities," CESifo Working Paper Series 6749, CESifo Group Munich.

    Cited by:

    1. Jamie L. Cross & Chenghan Hou & Bao H. Nguyen, 2018. "On the China factor in international oil markets: A regime switching approach," Working Papers No 11/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Raghavan, Mala, 2019. "An analysis of the global oil market using SVARMA models," Working Papers 2019-01, University of Tasmania, Tasmanian School of Business and Economics.
    3. Reinhard Ellwanger, 2019. "A Structural Model of the Global Oil Market," Staff Analytical Notes 2019-17, Bank of Canada.
    4. Alfred Haug & Syed Basher & Perry Sadorsky, 2016. "The impact of oil price shocks on exchange rates: A non-linear smooth-transition approach," EcoMod2016 9226, EcoMod.
    5. Kilian, Lutz, 2019. "Measuring global real economic activity: Do recent critiques hold up to scrutiny?," Economics Letters, Elsevier, vol. 178(C), pages 106-110.
    6. Daniele Valenti, 2018. "Modelling the Global Price of Oil: Is there any Role for the Oil Futures-spot Spread?," Working Papers 2018.06, Fondazione Eni Enrico Mattei.
    7. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    8. Lutz Kilian & Xiaoqing Zhou, 2019. "Oil prices, exchange rates, and interest rates," 2019 Meeting Papers 592, Society for Economic Dynamics.
    9. S. Delle Chiaie & L. Ferrara & D. Giannone, 2017. "Common Factors of Commodity Prices," Working papers 645, Banque de France.
    10. Anthony Garratt & Shaun P. Vahey & Yunyi Zhang, 2019. "Real‐time forecast combinations for the oil price," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 456-462, April.
    11. Lutz Kilian & Xiaoqing Zhou, 2018. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks: Comment," CESifo Working Paper Series 7166, CESifo Group Munich.
    12. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Structural Interpretation of Vector Autoregressions with Incomplete Information: Revisiting the Role of Oil Supply and Demand Shocks: Comment," CEPR Discussion Papers 13068, C.E.P.R. Discussion Papers.
    13. Jin, Xin, 2019. "The role of market expectations in commodity price dynamics: Evidence from oil data," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 1-18.
    14. Fretheim, Torun, 2019. "An empirical analysis of the correlation between large daily changes in grain and oil futures prices," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 66-75.
    15. Marina V. Vasiljeva & Vadim V. Ponkratov & Elena Y. Kharlamova & Nikolay V. Kuznetsov & Maksim S. Maramygin & Maria V. Volkova, 2019. "Problems and Prospects of Development of the Oil Exchange Market in the Russian Federation," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 77-86.

  8. Christiane Baumeister & Lutz Kilian & Xiaoqing Zhou, 2013. "Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis," Staff Working Papers 13-25, Bank of Canada.

    Cited by:

    1. Cristiana Belu Manescu & Ine Van Robays, 2016. "Forecasting the Brent Oil Price: Addressing Time-Variation in Forecast Performance," CESifo Working Paper Series 6242, CESifo Group Munich.
    2. Baumeister, Christiane & Kilian, Lutz & Lee, Thomas K, 2014. "Are there Gains from Pooling Real-Time Oil Price Forecasts?," CEPR Discussion Papers 10075, C.E.P.R. Discussion Papers.
    3. Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2015. "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," International Journal of Forecasting, Elsevier, vol. 31(2), pages 238-252.
    4. Christiane Baumeister & Lutz Kilian, 2013. "Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach," Staff Working Papers 13-28, Bank of Canada.
    5. Baumeister, Christiane & Kilian, Lutz, 2013. "Do Oil Price Increases Cause Higher Food Prices?," CEPR Discussion Papers 9689, C.E.P.R. Discussion Papers.
    6. Bernard, Jean-Thomas & Khalaf, Lynda & Kichian, Maral & Yelou, Clement, 2015. "Oil Price Forecasts for the Long-Term: Expert Outlooks, Models, or Both?," Working Papers 208082, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    7. Christiane Baumeister & Lutz Kilian & Thomas K. Lee, 2016. "Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump," CESifo Working Paper Series 5759, CESifo Group Munich.
    8. Hui Jun ZHANG & Jean-Marie DUFOUR & John W. GALBRAITH, 2013. "Exchange Rates and Commodity Prices : Measuring Causality at Multiple Horizons," Cahiers de recherche 14-2013, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    9. Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2014. "Forecasting the Oil-gasoline Price Relationship: Should We Care about the Rockets and the Feathers?," Working Papers 2014.21, Fondazione Eni Enrico Mattei.
    10. Anthony Garratt & Shaun P. Vahey & Yunyi Zhang, 2019. "Real‐time forecast combinations for the oil price," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 456-462, April.
    11. Mohamad B. Karaki, 2018. "Asymmetries In The Responses Of Regional Job Flows To Oil Price Shocks," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1827-1845, July.
    12. Xuluo Yin & Jiangang Peng & Tian Tang, 2018. "Improving the Forecasting Accuracy of Crude Oil Prices," Sustainability, MDPI, Open Access Journal, vol. 10(2), pages 1-9, February.
    13. Arunanondchai, Panit & Senia, Mark C. & Capps, Oral Jr, 2017. "Can U.S. EIA Retail Gasoline Price Forecasts Be Improved Upon?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252717, Southern Agricultural Economics Association.
    14. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil prices," MPRA Paper 77531, University Library of Munich, Germany.
    15. Elder, John & Miao, Hong & Ramchander, Sanjay, 2014. "Price discovery in crude oil futures," Energy Economics, Elsevier, vol. 46(S1), pages 18-27.
    16. Degiannakis, Stavros & Filis, George, 2018. "Forecasting oil prices: High-frequency financial data are indeed useful," Energy Economics, Elsevier, vol. 76(C), pages 388-402.

Articles

  1. Baumeister, Christiane & Kilian, Lutz & Zhou, Xiaoqing, 2018. "Are Product Spreads Useful For Forecasting Oil Prices? An Empirical Evaluation Of The Verleger Hypothesis," Macroeconomic Dynamics, Cambridge University Press, vol. 22(03), pages 562-580, April.

    Cited by:

    1. Baumeister, Christiane & Kilian, Lutz & Lee, Thomas K, 2014. "Are there Gains from Pooling Real-Time Oil Price Forecasts?," CEPR Discussion Papers 10075, C.E.P.R. Discussion Papers.
    2. Christiane Baumeister & Lutz Kilian & Thomas K. Lee, 2016. "Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump," CESifo Working Paper Series 5759, CESifo Group Munich.
    3. Ederington, Louis H. & Fernando, Chitru S. & Hoelscher, Seth A. & Lee, Thomas K. & Linn, Scott C., 2019. "A review of the evidence on the relation between crude oil prices and petroleum product prices," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 1-15.
    4. Anthony Garratt & Shaun P. Vahey & Yunyi Zhang, 2019. "Real‐time forecast combinations for the oil price," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 456-462, April.
    5. Mohamad B. Karaki, 2018. "Asymmetries In The Responses Of Regional Job Flows To Oil Price Shocks," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1827-1845, July.
    6. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    7. Snudden, Stephen, 2018. "Targeted growth rates for long-horizon crude oil price forecasts," International Journal of Forecasting, Elsevier, vol. 34(1), pages 1-16.

  2. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Modeling fluctuations in the global demand for commodities," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

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  1. Number of Downloads through RePEc Services over the past 12 months

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 16 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-ENE: Energy Economics (10) 2017-03-12 2017-11-05 2017-12-11 2018-04-30 2018-06-11 2018-09-10 2018-11-19 2018-12-03 2019-02-18 2019-02-25. Author is listed
  2. NEP-URE: Urban & Real Estate Economics (6) 2018-02-12 2018-04-30 2018-06-11 2018-09-24 2018-11-19 2018-12-03. Author is listed
  3. NEP-INT: International Trade (3) 2017-10-29 2018-01-08 2019-02-25
  4. NEP-MAC: Macroeconomics (3) 2018-02-12 2018-09-10 2018-09-10
  5. NEP-OPM: Open Economy Macroeconomics (3) 2018-12-03 2019-02-18 2019-02-25
  6. NEP-AGR: Agricultural Economics (2) 2017-10-29 2018-01-08
  7. NEP-DGE: Dynamic General Equilibrium (2) 2018-02-12 2018-09-24
  8. NEP-FOR: Forecasting (1) 2013-08-23
  9. NEP-MON: Monetary Economics (1) 2019-02-25

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