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XVII WORKSHOP ON QUANTITATIVE FINANCE
SESSIONS: Mathematical Finance. Risk. Portfolio Selection. Interest Rates and Foreign Exchange. Optimization. Liquidity, Volatility and Trading. Finance. Volatility. Pricing. Energy.
28 January 2016 - 29 January 2016
Aims and Research Directions
Scientific Committee
Organizing Committee
List of Participants
Invited Speakers
Planned Activities
Timetable
Documents
Current List of Participants (See Documents)
[table view]
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Wouter Heynderickx
Communication:
RISK I: The Relationship between Risk-Neutral and Actual Default Probabilities: the Credit Risk Premium
Asmerilda Hitaj
Communication:
Multivariate Mixed Tempered Stable Distribution
Poster:
POSTER SESSION: Jump diffusions and portfolio optimization with state dependent risk aversion .
Martin Holmen
Communication:
Convex Incentives in Financial Markets: an AgentBased
Friederich Hubalek
Technische Universität Wien
Gaetano La Bua
Communication:
A Hybrid SLV model with Multifactor Stochastic Volatility
Communication:
Flow of funds, High Water Mark and asset allocation
Communication:
RISK I: A note on CVA and Wrong Way Risk
Fabrizio Lillo
Scuola Normale Superiore, Pisa
Poster:
POSTER SESSION: Assessing Systemic Risk Due to Fire Sales Spillover Through Maximum Entropy Network
Seminar:
POSTER SESSION: Liquidity Dynamics and Illiquidity Cascades in the European Sovereign Bond Market
Poster:
POSTER SESSION: When panic makes you blind: a chaotic route to systemic risk
Communication:
The Mixture Transition Distribution model for market impact and price dynamics .
Communication:
The role of volume in order book dynamics: a multivariate Hawkes process analysis
Giulia Livieri
Scuola Normale Superiore
Communication:
A backward Monte Carlo approach to exotic option pricing
Elisa Luciano
Università degli Studi di Torino
Communication:
RISK I: Information effects in longevity-linked vs purely financial portfolios
Thomas Lux
Communication:
From bond yield to macroeconomic instability: a parsimonious affine model
Filippo Macaluso
Communication:
How to sample from a distribution when only the moments are known with an application to affine
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