Results 31 to 40 of about 132,305 (262)
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley +1 more source
Bayesian Model Averaging in Causal Instrumental Variable Models
Journal of Applied Econometrics, EarlyView.ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley +1 more source
Prophetic witness in the Hebrew Bible: From prophetic word to prophetic books
HTS Teologiese Studies / Theological Studies, 2010 Although prophecy as a phenomenon is recognised as being common to Mari, Mesopotamia and other Near Eastern contexts, the huge process of collecting, editing and interpreting prophecy that took place as part of the formation of the Hebrew Bible (HB), is virtually without precedent in the rest of the Ancient Near East.
openaire +3 more sources
Journal of Medical Radiation Sciences, EarlyView.Reducing radiation exposure to staff performing coronary angiography and intervention is an occupational health and safety priority for hospitals. We demonstrate that a larger lead acrylic shield, with lead rubber pleats on the lower edge will reduce radiation exposure to the cardiologist performing the procedure by approximately 40%. We recommend that
James A. Crowhurst +6 more
wiley +1 more source
The Five Main Themes of the Old Testament [PDF]
, 2015 Definition and history of the Old Testament themes of covenant, kingship, grace, sacrifice, and ...
Mumme, Laura E.
core +1 more source
Journal of Traumatic Stress, EarlyView.Abstract Forcible displacement due to war and persecution has reached unprecedented heights across the globe. The mental health impact of trauma and displacement on refugee communities is profound. Although there are several evidence‐based therapies that are efficacious in reducing symptoms of posttraumatic stress disorder and depression in refugees ...
Angela Nickerson +4 more
wiley +1 more source
Empathy, a Facility to Reduce Conflict Among Individuals and Societies, and the Qur’ān [PDF]
, 2019 The aim of this study is to clarify whether the content of empathy, which is considered the process that motivates prosocial behaviour and prevents individuals and people doing harm to each other, is in harmony with the Qurʾān or not.
Kayacan, Murat
core +1 more source
Knowledge and Process Management, EarlyView.ABSTRACT Enterprise Resource Planning (ERP) systems are integrated business management tools used by organizations to manage data and processes across various functions. While financial and technical considerations remain central to ERP selection, sustainable success also depends on the system's ability to support Knowledge Management (KM).
Deniz Sadat Sebti Esmail Pour +1 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi +2 more
wiley +1 more source