A Bayesian analysis based on multivariate stochastic volatility model: evidence from green stocks. [PDF]
Ma M, Zhang J.
europepmc +1 more source
On stochastic integration for volatility modulated Levy-driven Volterra processes [PDF]
10.08.12 KB. Copyright belongs with authors submitted to arXiv under CC licence. Ok to add to Spiral.This paper develops a stochastic integration theory with respect to volatility modulated Lévy-driven Volterra () processes.
Barndorff-Nielsen, OE +3 more
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Engineered extracellular vesicles displaying Ephrin‐B2 selectively target Ephrin‐B4–expressing ovarian cancer cells, enabling precise delivery in patient‐derived models. This scalable bio‐manufacturing platform reveals a versatile strategy to exploit Ephrin signaling for highly specific therapeutic payload delivery and motivates exploration of tailored
Nihar Godbole +17 more
wiley +1 more source
TEOREMA FUNGSI INVERS DAN APLIKASINYA DALAM ESTIMASI VOLATILITAS MODEL STOKASTIK
The Inverse Function Theorem plays a fundamental role in various areas of applied mathematics, particularly in stochastic analysis and financial modeling.
NILMA SARI, FAIHATUZ ZUHAIROH
doaj +1 more source
Impact of rough stochastic volatility models on long-term life insurance pricing. [PDF]
Dupret JL, Barbarin J, Hainaut D.
europepmc +1 more source
Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing
A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee +9 more
wiley +1 more source
Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors [PDF]
The efficient Bayesian estimation method using Markov chain Monte Carlo is proposed for a multivariate stochastic volatility model that is a natural extension of the univariate stochastic volatility model with leverage and heavy-tailed errors, where we ...
Yasuhiro Omori, Tsunehiro Ishihara
core +4 more sources
Higher-order dynamic effects of uncertainty risk under thick-tailed stochastic volatility. [PDF]
Gong XL, Lu JY, Xiong X, Zhang W.
europepmc +1 more source
Stochastic Volatility Driven by Large Shocks [PDF]
This paper presents a new model of stochastic volatility which allows for infrequent shifts in the mean of volatility, known as structural breaks. These are endogenously driven from large innovations in stock returns arriving in the market. The model has
George Kapetanios, Elias Tzavalis
core
On leverage in a stochastic volatility model [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources

