Essec\Faculty\Model\Contribution {#2233
#_index: "academ_contributions"
#_id: "13409"
#_source: array:26 [
"id" => "13409"
"slug" => "pro-cyclicality-beyond-business-cycle"
"yearMonth" => "2023-05"
"year" => "2023"
"title" => "Pro-cyclicality beyond business cycle"
"description" => "BRÄUTIGAM, M., DACOROGNA, M. et KRATZ, M. (2023). Pro-cyclicality beyond business cycle. <i>Mathematical Finance</i>, 33(2), pp. 308-341."
"authors" => array:3 [
0 => array:3 [
"name" => "KRATZ Marie"
"bid" => "B00072305"
"slug" => "kratz-marie"
]
1 => array:1 [
"name" => "BRÄUTIGAM Marcel"
]
2 => array:1 [
"name" => "DACOROGNA Michel"
]
]
"ouvrage" => ""
"keywords" => array:6 [
0 => "Bahadur representation"
1 => "estimation"
2 => """
financial risk management -\n
joint asymptotic normality
"""
3 => "market state"
4 => "regulation"
5 => """
riskmeasure -\n
statistics
"""
]
"updatedAt" => "2024-10-31 13:51:19"
"publicationUrl" => "https://onlinelibrary.wiley.com/doi/full/10.1111/mafi.12369"
"publicationInfo" => array:3 [
"pages" => "308-341"
"volume" => "33"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "We show that pro-cyclicality is inherent in risk measure estimates based on historical data. Taking the example of VaR, we show that the empirical VaR measure is mean-reverting over a 1-year horizon when the portfolio is held fixed. It means that a capital requirement rule based on historical measurements of VaR tends in calm times to understate future required capital and tends in volatile times to overstate it. To quantify this pro-cyclicality, we develop a simple and efficient methodology, which we apply to major equity market indices. We make the interesting point that the pro-cyclicality property holds true even in a world with constant volatility, though the empirical magnitude of the mean-reversion is greater than what would be observed in that special case."
"en" => "We show that pro-cyclicality is inherent in risk measure estimates based on historical data. Taking the example of VaR, we show that the empirical VaR measure is mean-reverting over a 1-year horizon when the portfolio is held fixed. It means that a capital requirement rule based on historical measurements of VaR tends in calm times to understate future required capital and tends in volatile times to overstate it. To quantify this pro-cyclicality, we develop a simple and efficient methodology, which we apply to major equity market indices. We make the interesting point that the pro-cyclicality property holds true even in a world with constant volatility, though the empirical magnitude of the mean-reversion is greater than what would be observed in that special case."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T13:21:43.000Z"
"docTitle" => "Pro-cyclicality beyond business cycle"
"docSurtitle" => "Articles"
"authorNames" => "<a href="/cv/kratz-marie">KRATZ Marie</a>, BRÄUTIGAM Marcel, DACOROGNA Michel"
"docDescription" => "<span class="document-property-authors">KRATZ Marie, BRÄUTIGAM Marcel, DACOROGNA Michel</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2023</span>"
"keywordList" => """
<a href="#">Bahadur representation</a>, <a href="#">estimation</a>, <a href="#">financial risk management -\n
joint asymptotic normality</a>, <a href="#">market state</a>, <a href="#">regulation</a>, <a href="#">riskmeasure -\n
statistics</a>
"""
"docPreview" => "<b>Pro-cyclicality beyond business cycle</b><br><span>2023-05 | Articles </span>"
"docType" => "research"
"publicationLink" => "<a href="https://onlinelibrary.wiley.com/doi/full/10.1111/mafi.12369" target="_blank">Pro-cyclicality beyond business cycle</a>"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.229206
+"parent": null
}