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SHORTCAST | Systemic Risk in Interconnected Financial Markets

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Manage episode 337452136 series 3381298
Contenu fourni par LSE Film and Audio Team, London School of Economics, and Political Science. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par LSE Film and Audio Team, London School of Economics, and Political Science ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Contributor(s): Professor Luitgard Veraart | Domino effects of losses can bring down entire financial systems with severe knock-on effects on the real economy. This talk considers insights from mathematics to model loss cascades and apply them to recent financial stress events. We live in an interconnected world. As the COVID-19 pandemic has demonstrated, interconnections affect both our lives and our livelihoods. In this talk, Luitgard Veraart will show how we can use mathematical models to quantify and manage risk arising from interconnections in financial markets. A particular focus will be on systemic risk and financial stability. Examples provided from the 2007-2009 financial crisis and the economic effects of the COVID-19 pandemic will illustrate how mathematical models can inform the debate on mitigating systemic risk. Meet our speaker and chair Luitgard Veraart is a Professor in the Department of Mathematics at LSE. She joined LSE in 2010 after holding positions in the USA and in Germany. She is a co-winner of the 2019 Adams Prize awarded by the University of Cambridge for her research in the Mathematics of Networks. Jan van den Heuvel is Professor of Mathematics and Head of the Department of Mathematics at LSE. More about this event The Department of Mathematics (@LSEMaths) is internationally recognised for its teaching and research in the fields of discrete mathematics, game theory, financial mathematics and operations research.
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187 episodes

Artwork
iconPartager
 
Manage episode 337452136 series 3381298
Contenu fourni par LSE Film and Audio Team, London School of Economics, and Political Science. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par LSE Film and Audio Team, London School of Economics, and Political Science ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Contributor(s): Professor Luitgard Veraart | Domino effects of losses can bring down entire financial systems with severe knock-on effects on the real economy. This talk considers insights from mathematics to model loss cascades and apply them to recent financial stress events. We live in an interconnected world. As the COVID-19 pandemic has demonstrated, interconnections affect both our lives and our livelihoods. In this talk, Luitgard Veraart will show how we can use mathematical models to quantify and manage risk arising from interconnections in financial markets. A particular focus will be on systemic risk and financial stability. Examples provided from the 2007-2009 financial crisis and the economic effects of the COVID-19 pandemic will illustrate how mathematical models can inform the debate on mitigating systemic risk. Meet our speaker and chair Luitgard Veraart is a Professor in the Department of Mathematics at LSE. She joined LSE in 2010 after holding positions in the USA and in Germany. She is a co-winner of the 2019 Adams Prize awarded by the University of Cambridge for her research in the Mathematics of Networks. Jan van den Heuvel is Professor of Mathematics and Head of the Department of Mathematics at LSE. More about this event The Department of Mathematics (@LSEMaths) is internationally recognised for its teaching and research in the fields of discrete mathematics, game theory, financial mathematics and operations research.
  continue reading

187 episodes

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