IDEAS home Printed from https://ideas.repec.org/p/bbv/wpaper/17-13.html
   My bibliography  Save this paper

Tracking chinese vulnerability in real time using Big Data

Author

Listed:
  • Carlos Casanova
  • Alvaro Ortiz
  • Tomasa Rodrigo
  • Le Xia
  • Joaquín Iglesias

Abstract

We develop an indicator to track vulnerability sentiment in China. In order to ensure robustness and depth, we use a combination of traditional macroeconomic and financial time series with textual analysis using Big Data techniques.The index is composed by the following dimensions: state owned enterprises; shadow banking; housing market bubble and exchange rate market.

Suggested Citation

  • Carlos Casanova & Alvaro Ortiz & Tomasa Rodrigo & Le Xia & Joaquín Iglesias, 2017. "Tracking chinese vulnerability in real time using Big Data," Working Papers 17/13, BBVA Bank, Economic Research Department.
    • Handle: RePEc:bbv:wpaper:17/13
    as

    Download full text from publisher

    File URL: https://www.bbvaresearch.com/wp-content/uploads/2017/10/Tracking-Chinese-Vulnerability-in-Real-Time-Using-Big-Data_Bank-of-England_Oct2017.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    2. Ilyana Kuziemko & Ebonya Washington, 2015. "Why did the Democrats Lose the South? Bringing New Data to an Old Debate," NBER Working Papers 21703, National Bureau of Economic Research, Inc.
    3. Eyssell, Thomas & Fung, Hung-Gay & Zhang, Gaiyan, 2013. "Determinants and price discovery of China sovereign credit default swaps," China Economic Review, Elsevier, vol. 24(C), pages 1-15.
    4. Lee, Minsoo & Park, Donghyun & Ramayandi, Arief, 2016. "How Growth Deceleration in the People’s Republic of China Affects Other Asian Economies: An Empirical Analysis," ADB Economics Working Paper Series 484, Asian Development Bank.
    5. Shapiro, Adam Hale & Sudhof, Moritz & Wilson, Daniel J., 2022. "Measuring news sentiment," Journal of Econometrics, Elsevier, vol. 228(2), pages 221-243.
    6. Zhou, Xiangyi & Zhang, Weijin & Zhang, Jie, 2012. "Volatility spillovers between the Chinese and world equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 247-270.
    7. Mr. Ashvin Ahuja & Mr. Malhar S Nabar, 2012. "Investment-Led Growth in China: Global Spillovers," IMF Working Papers 2012/267, International Monetary Fund.
    8. Blanchard, Olivier Jean, 1993. "Consumption and the Recession of 1990-1991," American Economic Review, American Economic Association, vol. 83(2), pages 270-274, May.
    9. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-1377, June.
    10. Matthew Gentzkow & Jesse Shapiro & Matt Taddy, 2016. "Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech," Working Papers id:11114, eSocialSciences.
    11. King, Gary & Pan, Jennifer & Roberts, Margaret E., 2017. "How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument," American Political Science Review, Cambridge University Press, vol. 111(3), pages 484-501, August.
    12. Mr. Paulo Drummond & Miss Estelle X Liu, 2013. "Africa’s Rising Exposure to China: How Large Are Spillovers Through Trade?," IMF Working Papers 2013/250, International Monetary Fund.
    13. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    14. Jacob Boudoukh & Ronen Feldman & Shimon Kogan & Matthew Richardson, 2013. "Which News Moves Stock Prices? A Textual Analysis," NBER Working Papers 18725, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shen, Shulin & Xia, Le & Shuai, Yulin & Gao, Da, 2022. "Measuring news media sentiment using big data for Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    2. George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vegard H�ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    3. Leilane de Freitas Rocha Cambara & Roberto Meurer, 2023. "News sentiment and foreign portfolio investment in Brazil," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3332-3348, July.
    4. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    5. Robert J. Shiller, 2017. "Narrative Economics," American Economic Review, American Economic Association, vol. 107(4), pages 967-1004, April.
    6. Steven Heston & Nitish R. Sinha, 2016. "News versus Sentiment : Predicting Stock Returns from News Stories," Finance and Economics Discussion Series 2016-048, Board of Governors of the Federal Reserve System (U.S.).
    7. Hanjo Odendaal & Monique Reid & Johann F. Kirsten, 2020. "Media‐Based Sentiment Indices as an Alternative Measure of Consumer Confidence," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 409-434, December.
    8. Vegard Høghaug Larsen & Leif Anders Thorsrud, 2022. "Asset returns, news topics, and media effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 838-868, July.
    9. Bai, Xiwen & Lam, Jasmine Siu Lee & Jakher, Astha, 2021. "Shipping sentiment and the dry bulk shipping freight market: New evidence from newspaper coverage," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    10. Marianne Bertrand & Matilde Bombardini & Raymond Fisman & Brad Hackinen & Francesco Trebbi, 2021. "Hall of Mirrors: Corporate Philanthropy and Strategic Advocacy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2413-2465.
    11. Su, Zhi & Lu, Man & Yin, Libo, 2018. "Oil prices and news-based uncertainty: Novel evidence," Energy Economics, Elsevier, vol. 72(C), pages 331-340.
    12. Gupta, Rangan & Kollias, Christos & Papadamou, Stephanos & Wohar, Mark E., 2018. "News implied volatility and the stock-bond nexus: Evidence from historical data for the USA and the UK markets," Journal of Multinational Financial Management, Elsevier, vol. 47, pages 76-90.
    13. Chouliaras, Andreas, 2015. "High Frequency Newswire Textual Sentiment: Evidence from international stock markets during the European Financial Crisis," MPRA Paper 62524, University Library of Munich, Germany.
    14. Dang, Tung Lam & Moshirian, Fariborz & Zhang, Bohui, 2015. "Commonality in news around the world," Journal of Financial Economics, Elsevier, vol. 116(1), pages 82-110.
    15. Stefan Claus & Massimo Stella, 2022. "Natural Language Processing and Cognitive Networks Identify UK Insurers’ Trends in Investor Day Transcripts," Future Internet, MDPI, vol. 14(10), pages 1-18, October.
    16. Frank, Murray Z. & Sanati, Ali, 2018. "How does the stock market absorb shocks?," Journal of Financial Economics, Elsevier, vol. 129(1), pages 136-153.
    17. Nyman, Rickard & Kapadia, Sujit & Tuckett, David, 2021. "News and narratives in financial systems: Exploiting big data for systemic risk assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    18. Prajwal Eachempati & Praveen Ranjan Srivastava, 2021. "Accounting for unadjusted news sentiment for asset pricing," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 13(3), pages 383-422, May.
    19. Vegard H. Larsen & Leif Anders Thorsrud, 2015. "The Value of News," Working Papers No 6/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    20. Frydman, Roman & Goldberg, Michael D. & Mangee, Nicholas, 2015. "Knightian uncertainty and stock-price movements: Why the REH present-value model failed empirically," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-50.

    More about this item

    Keywords

    Asia ; China ; Economic Analysis ; Regional Analysis ; Watch ; Working Paper;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bbv:wpaper:17/13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSCAR DE LAS PENAS SANCHEZ-CARO (email available below). General contact details of provider: https://edirc.repec.org/data/ebbvaes.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.