Results 151 to 160 of about 1,246,337 (384)
A Locally Both Leptokurtic and Fat-Tailed Distribution with Application in a Bayesian Stochastic Volatility Model. [PDF]
Lenart Ł, Pajor A, Kwiatkowski Ł.
europepmc +1 more source
Large Vector Autoregressions with Stochastic Volatility and Flexible Priors
Recent research has shown that a reliable vector autoregressive model (VAR) for forecasting and structural analysis of macroeconomic data requires a large set of variables and modeling time variation in their volatilities.
Andrea Carriero+2 more
semanticscholar +1 more source
Estimating Correlated Jumps and Stochastic Volatilities [PDF]
We formulate a bivariate stochastic volatility jump-diffusion model with correlated jumps and volatilities. An MCMC Metropolis-Hastings sampling algorithm is proposed to estimate the model’s parameters and latent state variables (jumps and stochastic ...
Jiří Witzany
core +1 more source
ABSTRACT EU member states have exhibited varying rates of apple production growth. Technical efficiency (TE) estimation is suitable for identifying best‐practice farm performance. This study examined whether the development of the apple sector in Germany, Italy, and Poland was influenced by production efficiency, access to technology, as well as ...
Anika Muder, Jakub Staniszewski
wiley +1 more source
In this paper, stochastic volatility models with asymmetric dependence were presented and applied to pricing options. A dynamic conditional copula approach was proposed to capture this dependence asymmetry.
Brian Wesley Muganda+2 more
doaj
A Stochastic Volatility Lattice
Abstract Stochastic volatility models model asset dynamics by a bivariate diffusion process. For practical calculation of prices of financial derivatives lattice models are necessary. In this paper we present a procedure to construct discrete process approximations converging to such ...
openaire +2 more sources
Testing the Marketing Performance of German Wheat Farmers
ABSTRACT This paper analyses the marketing performance of wheat farmers in Germany. Wheat sales data from 465 individual farms over a 12‐year period are used to test against different market benchmarks. Market benchmarks are constructed by simulating passive trading agents using regional wheat prices.
Franziska Potts, Jens‐Peter Loy
wiley +1 more source
Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering
Aim: The paper aims to propose a new estimation method for the Cholesky Multivariate Stochastic Volatility Model based on the iterated filtering algorithm (Ionides et al., 2006, 2015).
Piotr Szczepocki
doaj
Stochastic Volatility Models as Hidden Markov Models and Statistical Applications [PDF]
Valentine Genon-Catalot+3 more
openalex +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source