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Economic Loan Loss Provision and Expected Loss [PDF]

open access: yesBusiness Research, 2010
The intention of a loss provision is the anticipation of credit's expected losses by adjusting the book values of the credits. Furthermore, this loan loss provision has to be compared to the expected loss according to Basel II and if necessary, equity ...
Sebastian Ostrowski, Stefan Hlawatsch
core   +4 more sources

Forecasting Expected and Unexpected Losses [PDF]

open access: yesSSRN Electronic Journal, 2020
Extending a standard credit-risk model illustrates that a single factor can drive both expected losses and the extent to which they may be exceeded in extreme scenarios, ie "unexpected losses." This leads us to develop a framework for forecasting these losses jointly. In an application to quarterly US data on loan charge-offs from 1985 to 2019, we find
Juselius, Mikael, Tarashev, Nikola A.
openaire   +2 more sources

Loss Expectation and Income Shifting

open access: yesSSRN Electronic Journal, 2020
This study examines the effects of expected losses on income shifting from various perspectives. Using a set of worldwide multinational corporation (MNC) affiliates, this study first finds empirical evidence of ex ante adjustments of income-shifting strategies by affiliates, supporting the existence of limited flexibility introduced in Hopland et al ...
Ye Ji Lee, Ji Seon Yoo
openaire   +2 more sources

Relative Expected Instantaneous Loss Bounds

open access: yesJournal of Computer and System Sciences, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jürgen Forster, Manfred K. Warmuth
openaire   +1 more source

Revisiting maximum-a-posteriori estimation in log-concave models [PDF]

open access: yes, 2019
Maximum-a-posteriori (MAP) estimation is the main Bayesian estimation methodology in imaging sciences, where high dimensionality is often addressed by using Bayesian models that are log-concave and whose posterior mode can be computed efficiently by ...
Pereyra, Marcelo
core   +2 more sources

Torsional rigidity for cylinders with a Brownian fracture [PDF]

open access: yes, 2017
We obtain bounds for the expected loss of torsional rigidity of a cylinder $\Omega_L=(-L/2,L/2) \times \Omega\subset \R^3$ of length $L$ due to a Brownian fracture that starts at a random point in $\Omega_L,$ and runs until the first time it exits ...
Berg, M. van den, Hollander, F. den
core   +3 more sources

Option-implied information and predictability of extreme returns : [Version 28 Januar 2013] [PDF]

open access: yes, 2012
We study whether prices of traded options contain information about future extreme market events. Our option-implied conditional expectation of market loss due to tail events, or tail loss measure, predicts future market returns, magnitude, and ...
Vilkov, Grigory, Xiao, Yan
core   +2 more sources

Gains and Losses in Nonadditive Expected Utility [PDF]

open access: yes, 1994
This paper provides a simple approach for deriving cumulative prospect theory. The key axiom is a cumulative dominance axiom which requires that a prospect be judged more attractive if in it greater gains are more likely and greater losses are less likely.
Rakesh, S., Wakker, P.P.
openaire   +2 more sources

Expectation-Based Loss Aversion and Strategic Interaction [PDF]

open access: yesSSRN Electronic Journal, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Simon Dato   +3 more
openaire   +2 more sources

Expected exponential loss for gaze-based video and volume ground truth annotation

open access: yes, 2017
Many recent machine learning approaches used in medical imaging are highly reliant on large amounts of image and ground truth data. In the context of object segmentation, pixel-wise annotations are extremely expensive to collect, especially in video and ...
BE Menze   +7 more
core   +1 more source

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