Results 101 to 110 of about 13,509 (257)
Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model
ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
wiley +1 more source
Federated Learning for Breast Cancer Classification: A Comparative Study of Aggregation Methods
Federated Learning (FL) allows healthcare institutions to collaboratively develop machine learning models while safeguarding patient data, making it ideal for privacy-sensitive medical imaging.
Nadjat Saàdia Lachemi +2 more
doaj +1 more source
A thorough assessment of the non-IID data impact in federated learning
Federated learning (FL) allows collaborative machine learning (ML) model training among decentralized clients' information, ensuring data privacy. The decentralized nature of FL deals with non-independent and identically distributed (non-IID) data. This open problem has notable consequences, such as decreased model performance and more significant ...
Daniel Mauricio Jimenez Gutierrez +4 more
openaire +3 more sources
A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source
Differentially Private Federated Clustering Over Non-IID Data
34 pages, 4 figures, 1 ...
Yiwei Li 0003 +3 more
openaire +2 more sources
The Role of Variance Risk Premium in Derivative Pricing: Modeling, Estimation and Impact
ABSTRACT This paper estimates a model where variance risk premiums (VRP) is not fully explained by equity risk premiums (ERP). This separation can be detected thanks to a new breed of GARCH models with enough innovations to disconnect returns from variances. This type of risk‐neutralization is compatible with continuous‐time settings.
Marcos Escobar‐Anel +2 more
wiley +1 more source
Multi-institutional healthcare Internet of Things (IoT) networks face a core challenge between combined intrusion detection and patient data privacy.
Sudhakar Sengan, Chin-Shiuh Shieh
doaj +1 more source
FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection
The rise of Distributed Denial of Service (DDoS) attacks on the internet has necessitated the development of robust and efficient detection mechanisms. DDoS attacks continue to present a significant threat, making it imperative to find efficient ways to ...
Yi-Chen Lee +2 more
doaj +1 more source
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho +3 more
wiley +1 more source
Impact of Sovereign Debt Maturity on Fiscal Sustainability
ABSTRACT This study is the first to investigate the impact of the term structure of public debt on fiscal sustainability. We adopt the widely used backward‐looking measure of fiscal sustainability—fiscal responsiveness as proposed by Bohn. Using data from De Graeve and Mazzolini and focusing on a sample of 19 most developed countries, we demonstrate ...
António Afonso +3 more
wiley +1 more source

