Results 131 to 140 of about 7,457,774 (289)

Value at Risk

, 2018
Die vorliegende Arbeit befasst sich mit dem Thema Bayesscher Zugang zum Value at Risk. Mit diesem Maß sollen Risiken bezüglich verschiedener Investitionen vergleichbar werden und Vorhersagen für Verluste getroffen werden können. Der Aufbau dieser Niederschrift wurde chronologisch so gestaltet, dass die einzelnen Schritte logisch nachvollziehbar ...
openaire   +3 more sources

The Predictive Value of Risk Factors and Prognostic Scores in Hospitalized COVID-19 Patients. [PDF]

Diagnostics (Basel), 2023
Brajkovic M, Vukcevic M, Nikolic S, Dukic M, Brankovic M, Sekulic A, Popadic V, Stjepanovic M, Radojevic A, Markovic-Denic L, Rajovic N, Milic N, Tanasilovic S, Todorovic Z, Zdravkovic M.   +14 more
europepmc   +1 more source

Extreme Value Theory and Value at Risk : Application to Oil Market [PDF]

Recent increases in energy prices, especially oil prices, have become a principal concern for consumers, corporations, and governments. Most analysts believe that oil price fluctuations have considerable consequences on economic activity.
Abdelwahed Trabelsi, Bechir Raggad, Vêlayoudom Marimoutou   +2 more
core  

Monitoring of circulating tumor DNA allows early detection of disease relapse in patients with operable breast cancer

Molecular Oncology, EarlyView.
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad, Marie Austdal, Oddmund Nordgård, Gunnar Mellgren, Satu Oltedal, Marie L. Austbø, Ylva H. Vignes, Thomas Helland, Kristin Jonsdottir, Tone H. Lende, Emilius A. M. Janssen, Bjørnar Gilje, Kjersti Tjensvoll, PBCB study group, Gunnar Mellgren, Tone Hoel Lende, Anette Heie, Kristin Viste, Anita Røyneberg Alvheim, Emiel AM Janssen, Kristin Jonsdottir, Ann Cathrine Kroksveen, Thomas Helland, Einar Gudlaugsson, Oddmund Nordgård, Satu Oltedal, Kristin Løge Aanestad, Jan Terje Kvaløy, Kirsten Lode, Kari Britt Hagen, Marie Austdal, Ylva H. Vignes, Siri Tungland Sola, Nina Egeland Amundsen, Finn Magnus Eliassen, Emeritus Ernst A Lien   +35 more
wiley   +1 more source

165 Development of science communication rubrics for trainees in clinical and translational science

Journal of Clinical and Translational Science
Objectives/Goals: Trainees in clinical and translational science (CTS) must learn to effectively communicate their research ideas and findings to a range of audiences. As part of our science communication curriculum, we developed ORAL and WRITTEN science
Angie Mae Rodday, Nicholas Frank, Robert Sege, Robert J Goldberg, Elizabeth Leary, David M Kent, Joshua T Cohen   +6 more
doaj   +1 more source

Implied value-at-risk and model-free simulation. [PDF]

Ann Oper Res, 2022
Bernard C, Perchiazzo A, Vanduffel S.
europepmc   +1 more source

Regulatory Evaluation of Value-at-Risk Models [PDF]

Value-at-risk (VaR) models have been accepted by banking regulators as tools for setting capital requirements for market risk exposure. Three statistical methodologies for evaluating the accuracy of such models are examined; specifically, evaluation ...
Jose A. Lopez
core  

Conditional Value-at-Risk Constraint and Loss Aversion Utility Functions [PDF]

, 2008
We provide an economic interpretation of the practice consisting in incorporating risk measures as constraints in a classic expected return maximization problem.
Andrieu, Laetitia, De Lara, Michel, Seck, Babacar   +2 more
core   +5 more sources

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks. [PDF]

Comput Econ, 2023
Buczynski M, Chlebus M.
europepmc   +1 more source