2,252 research outputs found
Adequate Capital and Stress Testing for Operational Risks
We describe how the notion of sequential correlations naturally leads to the quantification of operational risk. Our main point is that functional dependencies between mutually supportive processes give rise to non-trivial temporal correlations, which can lead to the occurrence of collective risk events in the form of bursts and avalanches of process failures, and crashes of process networks. We show how the adequate capital for operational risk can be calculated via a stochastic dynamics defined on a topological network of interacting processes. One of the main virtues of the present model is the suitability for capital allocation and stress testing of operational risks
Intermittency in an interacting generalization of the geometric Brownian motion model
We propose a minimal interacting generalization of the geometric Brownian motion model, which turns out to be formally equivalent to a model describing the dynamics of networks of analogue neurons. For sufficiently strong interactions, such systems may have many meta-stable states. Transitions between meta-stable states are associated with macroscopic reorganizations of the system, which can be triggered by random external forcing. Such a system will exhibit intermittent dynamics within a large part of its parameter space. We propose market dynamics as a possible application of this model, in which case random external forcing would correspond to the arrival of important information. The emergence of a model of interacting prices of the type considered here can be argued to follow naturally from a general argument based on integrating out all non-price degrees of freedom from the dynamics of a hypothetical complete description of economic dependences. PACS numbers: 02.50.βr, 05.40.βa, 89.65.Gh, 89.75.Da 1
Π Π²ΠΎΠΏΡΠΎΡΡ ΠΎ Π½ΠΎΠ²ΡΡ ΡΠΈΠ»ΠΎΡΠΎΡΡΠΊΠΈΡ ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡΡ Π³ΡΠΌΠ°Π½ΠΈΠ·ΠΌΠ°
ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΎ Π½ΠΎΠ²ΠΎΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΡΠΈΠ»ΠΎΡΠΎΡΡΠΊΠΈΡ
ΠΏΠΎΠΈΡΠΊΠΎΠ² Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠΎΠ½ΡΡΠΈΡ "Π³ΡΠΌΠ°Π½ΠΈΠ·ΠΌ". ΠΠΎΠ²ΡΠ΅ ΡΠΈΠ»ΠΎΡΠΎΡΡΠΊΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ Π³ΡΠΌΠ°Π½ΠΈΠ·ΠΌΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ Π²ΡΡΠ°Π±ΠΎΡΠ°ΡΡ ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠ΅ Π²ΠΈΠ΄Π΅Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΠΎΠ±ΡΠ΅ΡΡΠ²Π° ΠΈ ΠΏΡΠΈΡΠΎΠ΄Ρ
Functional Correlation Approach to Operational Risk in Banking Organizations
A Value-at-Risk based model is proposed to compute the adequate equity
capital necessary to cover potential losses due to operational risks, such as
human and system process failures, in banking organizations. Exploring the
analogy to a lattice gas model from physics, correlations between sequential
failures are modeled by as functionally defined, heterogeneous couplings
between mutually supportive processes. In contrast to traditional risk models
for market and credit risk, where correlations are described by the covariance
of Gaussian processes, the dynamics of the model shows collective phenomena
such as bursts and avalanches of process failures.Comment: 12 pages, 7 figures, uses RevTeX 4.0, submitted to Phys. Rev.
Tunneling dynamics of side chains and defects in proteins, polymer glasses, and OH-doped network glasses
Simulations on a Lennard-Jones computer glass are performed to study effects
arising from defects in glasses at low temperatures. The numerical analysis
reveals that already a low concentration of defects may dramatically change the
low temperature properties by giving rise to extrinsic double-well potentials
(DWP's). The main characteristics of these extrinsic DWP's are (i) high barrier
heights, (ii) high probability that a defect is indeed connected with an
extrinsic DWP, (iii) highly localized dynamics around this defect, and (iv)
smaller deformation potential coupling to phonons. Designing an extension of
the Standard Tunneling Model (STM) which parametrizes this picture and
comparing with ultrasound experiments on the wet network glass -BO
shows that effects of OH-impurities are accurately accounted for. This model is
then applied to organic polymer glasses and proteins. It is suggested that side
groups may act similarly like doped impurities inasmuch as extrinsic DWP's are
induced, which possess a distribution of barriers peaked around a high barrier
height. This compares with the structurlessly distributed barrier heights of
the intrinsic DWP's, which are associated with the backbone dynamics. It is
shown that this picture is consistent with elastic measurements on polymers,
and can explain anomalous nonlogarithmic line broadening recently observed in
hole burning experiments in PMMA.Comment: 34 pages, Revtex, 9 eps-figures, accepted for publication in J. Chem.
Phy
Rigorous mean field model for CPA: Anderson model with free random variables
A model of a randomly disordered system with site-diagonal random energy
fluctuations is introduced. It is an extension of Wegner's -orbital model to
arbitrary eigenvalue distribution in the electronic level space. The new
feature is that the random energy values are not assumed to be independent at
different sites but free. Freeness of random variables is an analogue of the
concept of independence for non-commuting random operators. A possible
realization is the ensemble of at different lattice-sites randomly rotated
matrices. The one- and two-particle Green functions of the proposed hamiltonian
are calculated exactly. The eigenstates are extended and the conductivity is
nonvanishing everywhere inside the band. The long-range behaviour and the
zero-frequency limit of the two-particle Green function are universal with
respect to the eigenvalue distribution in the electronic level space. The
solutions solve the CPA-equation for the one- and two-particle Green function
of the corresponding Anderson model. Thus our (multi-site) model is a rigorous
mean field model for the (single-site) CPA. We show how the Llyod model is
included in our model and treat various kinds of noises.Comment: 24 pages, 2 diagrams, Rev-Tex. Diagrams are available from the
authors upon reques
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