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Stock Market's Response to Real Output Shocks in China: A VARwAL Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F23%3A10469850" target="_blank" >RIV/00216208:11230/23:10469850 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=.MBLEXP1f3" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=.MBLEXP1f3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/cwe.12500" target="_blank" >10.1111/cwe.12500</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stock Market's Response to Real Output Shocks in China: A VARwAL Estimation

  • Original language description

    This paper studies the connection between the stock market and real output in China and compares it with benchmark countries, employing a novel vector autoregression with asymmetric leads (VARwAL) model. It makes two contributions. First, it finds that the time profile of the Chinese stock market&apos;s response to real output shocks suggests no evidence of a distorted relationship due to manipulation of Chinese real output data or domination of the Chinese stock market by individual investors. Rather, the Chinese stock market is relatively more responsive to real output, in line with the larger share of manufacturing in the Chinese economy. Electricity output and industrial profits, two different, less-manipulable time series, yield similar results. Second, it presents the first use of VARwAL impulse responses to detect stock market bubbles: VARwAL captures the 2015 bubble in China successfully. Over the full sample period, China&apos;s stock market appears to have been less prone to bubbles than the US stock market.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    China &amp; World Economy

  • ISSN

    1671-2234

  • e-ISSN

    1749-124X

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CN - CHINA

  • Number of pages

    25

  • Pages from-to

    1-25

  • UT code for WoS article

    001069284400001

  • EID of the result in the Scopus database

    2-s2.0-85171300306