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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Two-Stage Detection and Attribution of Cross-Border Financial
Contagion Channels</dc:title>
  <dc:title>R package contagionchannels version 0.1.3</dc:title>
  <dc:description>Implementation of a two-stage framework for the joint
    detection-and-attribution of cross-border financial contagion. Stage
    one detects directional information flows between equity markets via
    Wavelet-Quantile Transfer Entropy, combining maximal-overlap discrete
    wavelet decomposition (Percival and Walden, 2000, ISBN:9780521685085)
    with the transfer-entropy estimator of Schreiber (2000)
    &lt;doi:10.1103/PhysRevLett.85.461&gt; and quantile conditioning following
    Han, Linton, Oka and Whang (2016) &lt;doi:10.1016/j.jeconom.2016.03.001&gt;.
    Stage two attributes each significant directional link to one of five
    mutually exclusive transmission channels (Trade, Financial,
    Geopolitical, Behavioural, Monetary Policy) through a multi-method
    structural identification architecture combining instrumental-variables
    two-stage least squares with channel-specific external instruments
    (Stock and Watson, 2018) &lt;doi:10.1111/ecoj.12593&gt;, LASSO-based
    instrument selection (Belloni, Chernozhukov and Hansen, 2014)
    &lt;doi:10.1093/restud/rdt044&gt;, local projections (Jorda, 2005)
    &lt;doi:10.1257/0002828053828518&gt;, heteroskedasticity-based identification
    (Rigobon, 2003) &lt;doi:10.1162/003465303772815727&gt;, and the
    Cinelli-Hazlett (2020) &lt;doi:10.1111/rssb.12348&gt; robustness-value
    sensitivity bound. Bundled datasets and replication scripts reproduce
    the headline findings of Bhandari, Parida and Sahu (2026)
    &lt;doi:10.48550/arXiv.2604.26546&gt;; the package is general-purpose and
    accommodates user-supplied returns and channel proxies.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: xts, zoo, waveslim, quantreg, igraph, parallel, MASS, stats,
utils</dc:relation>
  <dc:relation>Suggests: hdm, glmnet, ggplot2, dplyr, tidyr, patchwork, RColorBrewer,
viridis, scales, readxl, knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Avishek Bhandari &lt;avishekb@iitbbs.ac.in&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Avishek Bhandari [aut, cre] (Indian Institute of Technology
    Bhubaneswar),
  Ipsita Parida [aut] (Indian Institute of Technology Bhubaneswar),
  Hitesh Kumar Sahu [aut] (Indian Institute of Technology Bhubaneswar)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-05-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=contagionchannels</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.contagionchannels</dc:identifier>
</oai_dc:dc>
