Results 51 to 60 of about 736,304 (285)

Multiple Twinning in Nacre and Aragonite

Advanced Functional Materials, EarlyView.
Electron backscatter diffraction map of a cluster of geologic aragonite, exhibiting single, double, and triple twins. The whole cluster is approximately 2 cm wide. Colors indicate crystal orientations, so that pixels where the a‐, b‐, and c‐axis is perpendicular to the image plane are green, red, and blue, respectively.
Connor A. Schmidt, William O. Nachlas, Bil Schneider, Xiaoming Mao, Eric Tambutté, Alexander A. Venn, Sylvie Tambutté, Pupa U. P. A. Gilbert   +7 more
wiley   +1 more source

Is bank risk appetite relevant to bank default in times of Covid-19?

Central Bank Review, 2022
The paper aims to analyze the effect of bank risk appetite on banks' default probabilities during the year of COVID-19 in 12 countries while controlling for bank-specific and country-specific effects over time.
Pei-Ling Lee, Chun-Teck Lye, Chin Lee
doaj   +1 more source

Updating the Option Implied Probability of Default Methodology [PDF]

, 2011
In this paper we ‘update’ the option implied probability of default (option iPoD) approach recently suggested in the literature. First, a numerically more stable objective function for the estimation of the risk neutral density is derived whose integrals
Vilsmeier, Johannes
core  

Infectious Default Model with Recovery and Continuous Limit

, 2008
We introduce an infectious default and recovery model for N obligors. Obligors are assumed to be exchangeable and their states are described by N Bernoulli random variables S_{i} (i=1,...,N).
Albert R., Aleksiejuk A., Bakkaloglu M., Challet D., Chow Y. S., Davis M., Dchinszi R. B., Finetti De, Hisakado M., Hull J., Iori G., Kingman J. F. C., Kitsukawa K., Kiyono K., Lei T., Mantegna R. S., Masuda N., Pastor-Satorras R., Schönbucher P. J., Souma W.   +19 more
core   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Collateral-Enhanced Default Risk [PDF]

, 2013
Changes in collateralization have been implicated in significant default (or near-default) events during the financial crisis, most notably with AIG. We have developed a framework for quantifying this effect based on moving between Merton-type and Black ...
Green, Andrew, Kenyon, Chris
core   +1 more source

PiP‐Plex: A Particle‐in‐Particle System for Multiplexed Quantification of Proteins Secreted by Single Cells

Advanced Materials, EarlyView.
Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier, Byeong‐Ui Moon, Mojra Janta‐Polczynski, Yonatan Morocz, Fabian Svahn, Molly Shen, Ljuboje Lukic, Lidija Malic, Teodor Veres, Andy Ng, David Juncker   +10 more
wiley   +1 more source

Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks [PDF]

Management Science Letters, 2013
This study examines the relationship between CAMELS index and default probability among 20 Iranian banks. The proposed study gathers the necessary information from their financial statements over the period 2005-2011.
Mohammad Khodaei Valahzaghard, Maryam Bahrami   +1 more
doaj  

A study on detection and defence of malicious code under network security over biomedical devices

The Journal of Engineering, 2022
With the proliferation of massive varieties and unknown malicious viruses, it is difficult to achieve effective and timely defence by anti‐virus technology with virus signature matching as the core.
Tianqing Liu, Rahul Neware, Mohammed Wasim Bhatt, Mohammad Shabaz   +3 more
doaj   +1 more source

Estimation of Default Probabilities with Support Vector Machines [PDF]

SSRN Electronic Journal, 2006
Predicting default probabilities is important for firms and banks to operate successfully and to estimate their specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms.
Shiyi Chen, Wolfgang Härdle, Rouslan Moro   +2 more
openaire   +2 more sources