Results 51 to 60 of about 11,660 (201)
Determination of Value-at-Risk in UNVR Stocks Using ARIMA-GJR-GA RCH Model
Stocks are investment instruments that are in great demand by investors as a basis for storing finances. The most important thing in investing is the return and risk of loss obtained from investing in stocks. Risk measurement is carried out using Value-at-Risk and Conditional Value-at-Risk.
Rizki Apriva Hidayana +2 more
openaire +1 more source
Summary Herbarium specimens are widely distributed in space and time, thereby capturing diverse conditions. We reconstructed specimen ‘lived’ climate from knowledge of germination cues and collection dates for 14 annual species in the Streptanthus (s.l.) clade (Brassicaceae) to ask: which climate attributes best explain specimen phenological stage and ...
Megan Bontrager +6 more
wiley +1 more source
GRG Non-Linear and ARWM Methods for Estimating the GARCH-M, GJR, and log-GARCH Models
Numerous variants of the basic Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have been proposed to provide good volatility estimating and forecasting. Most of the study does not work Excel’s Solver to estimate GARCH-type models.
Didit Budi Nugroho +5 more
doaj +1 more source
Abstract Background Therapeutic plasma exchange (TPE) using exclusively albumin replacement fluid depletes coagulation factors, particularly fibrinogen, and concerns about performing multiple consecutive daily procedures due to iatrogenic bleeding exist. Fibrinogen testing to guide bleeding risk stratification is vague.
Jay S. Raval +7 more
wiley +1 more source
ABSTRACT Machine learning (ML) techniques are increasingly being applied to the development and processing of advanced ceramics, enabling predictive design, formulation optimization, and improved control of manufacturing workflows. This review presents an integrated and application‐oriented analysis of ML approaches in ceramic engineering, with ...
Sioney Teixeira Monteiro +3 more
wiley +1 more source
Application of Copula Models in Stock Market Analysis
Objectives. The objective of the study is to use copula models to analyze shares of the Russian stock market and describe changes in the relationship between the shares before and during the coronavirus infection (COVID-19).Methods.
A. M. Kendys, M. M. Troush
doaj +1 more source
The presence of volatility in residential property market prices helps investors generate substantial profit while also causing fear among investors since high volatility implies a high return with a high risk.
Suleiman Ahmad Abubakar +6 more
doaj +1 more source
Hippocampal theta power during memory retrieval predicts evidence accumulation in a mnemonic similarity task. Trial‐level MEG signals were integrated with a linear ballistic accumulator model, revealing that theta oscillations modulate decision dynamics, linking neural variability to memory‐based discrimination performance.
Pei L. Robins +7 more
wiley +1 more source
Research on Portfolio Risk Prediction Based on Copula-GJR-Skewt Model [PDF]
For risk prediction of diversified investment portfolio, we use the thick tail and the biased characteristics of GJR-Skewt model to depict a single asset and using Copula model to depict a diversified investment portfolio non-linear correlation structure, simulating the random distribution of financial assets with Monte Carlo method and combining with ...
openaire +1 more source
Abstract A 6‐year‐old, spayed, female labrador retriever was presented with left distal radial swelling. Imaging, cytology and biopsy identified an aggressive radial lesion with metastasis to the left axillary lymph node, and a diagnosis of presumptive osteosarcoma was made.
Veronica Perez‐Rodriguez +4 more
wiley +1 more source

