Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Michel Baes"'
Autor:
Michel Baes, Eric Schaanning
Publikováno v:
Mathematical Finance, 33 (2)
We propose a systematic algorithmic reverse-stress testing methodology to create "worst case" scenarios for regulatory stress tests by accounting for losses that arise from distressed portfolio liquidations. First, we derive the optimal bank response
Publikováno v:
Mathematical Finance. 30:128-166
In a capital adequacy framework, risk measures are used to determine the minimal amount of capital that a financial institution has to raise and invest in a portfolio of prespecified eligible assets in order to pass a given capital adequacy test. Fro
Publikováno v:
SSRN Electronic Journal.
Despite substantial regulatory reforms, MMFs exposed to private assets experienced severe stress in March 2020. In the EU, Low Volatility Net Asset Value (LVNAVs) MMFs faced acute challenges to meet regulatory requirements while facing high redemptio
Autor:
Cosimo Munari, Michel Baes
One of the crucial problems in mathematical finance is to mitigate the risk of a financial position by setting up hedging positions of eligible financial securities. This leads to focusing on set-valued maps associating to any financial position the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68c7326ff9bd72aff91171a03a8c0865
https://www.zora.uzh.ch/id/eprint/174433/
https://www.zora.uzh.ch/id/eprint/174433/
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 34 (1)
Calypso Herrera
Calypso Herrera
This article revisits the problem of decomposing a positive semidefinite matrix as a sum of a matrix with a given rank plus a sparse matrix. An immediate application can be found in portfolio optimization, when the matrix to be decomposed is the cova
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a049f3160d38714ff57062fed27d7ae
http://arxiv.org/abs/1908.00461
http://arxiv.org/abs/1908.00461
Autor:
Michel Baes, Huiling Lin
Publikováno v:
Optimization. 64:2395-2416
We first discuss some properties of the solution set of a monotone symmetric cone linear complementarity problem (SCLCP), and then consider the limiting behaviour of a sequence of strictly feasible solutions within a wide neighbourhood of central tra
We extend in two ways the standard Karush---Kuhn---Tucker optimality conditions to problems with a convex objective, convex functional constraints, and the extra requirement that some of the variables must be integral. While the standard Karush---Kuh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f3d457d23f2053d21fdd9ea49e680af
https://orca.cardiff.ac.uk/id/eprint/86769/1/OptimalityConditions.pdf
https://orca.cardiff.ac.uk/id/eprint/86769/1/OptimalityConditions.pdf
Autor:
Michael Bürgisser, Michel Baes
Publikováno v:
Mathematical Methods of Operations Research. 77:279-289
We show that the Hedge algorithm, a method that is widely used in Machine Learning, can be interpreted as a particular instance of Dual Averaging schemes, which have recently been introduced by Nesterov for regret minimization. Based on this interpre
Publikováno v:
European Journal of Operational Research. 222:663-672
Estimating the probabilities by which different events might occur is usually a delicate task, subject to many sources of inaccuracies. Moreover, these probabilities can change over time, leading to a very difficult evaluation of the risk induced by
Publikováno v:
IEEE Transactions on Automatic Control. 54:988-999
This paper presents an application of positive polynomials to the reduction of the number of temperature constraints of a proper orthogonal decomposition (POD)-based predictive controller for a non-isothermal tubular reactor. The objective of the con