Close panel

  • Home
  • Publications
  • Who we are
  • Big Data
  • Forecasts
    Searcher

    Published on Wednesday, October 14, 2020

    Document number 20/13

    Big Data techniques used

    Global | Investment in Real Time and High Definition: A Big Data Approach

    Summary

    We introduce a set of Big Data indicators to mimic Investment in Real Time and High Definition. We use aggregate information of BBVA Big Data from firm-to-firm transactions and complement with individual-to-firm information. The results are successful and are validated through multiple robustness checks.

    Key points

    • Key points:
    • The high granularity and geo-localization of individual and firm-to-firm transactions data allow us to track the investment data in "high definition" from both a sectoral and geographical perspective.
    • Particularly, we replicate the quarterly national accounts aggregate investment (gross fixed capital formation) and its bigger components (Machinery & Equipment and Construction) in real time for the case of Turkey.
    • The inclusion of the development indicators improve the properties of a standard Dynamic Factor Model for Nowcasting including forecasting accuracy, anticipation and news contributions.
    • We also extend part of our tests to other countries, such as Spain and Mexico, with positive results.

    Geographies

    Topics

    Authors

    Ali Batuhan Barlas BBVA Research - Principal Economist
    Seda Guler Mert BBVA Research - Chief Economist
    Alvaro Ortiz BBVA Research - Head of Analysis with Big Data
    Tomasa Rodrigo BBVA Research - Lead Economist

    Documents and files


    Warning: Invalid argument supplied for foreach() in /var/www/html/wp-content/themes/bbvaresearch/single.php on line 866
    Report (PDF)

    Working_Paper_Investment_in_Real_Time_and_High_Definition_A_Big_Data_Approach_WB.pdf

    English - October 14, 2020

    New comment

    Be the first to add a comment.

    Load more

    You may also be interested in