Results 31 to 40 of about 11,306 (311)
Stochastic Volatility for Lévy Processes [PDF]
Mathematical Finance, 2002 Three processes reflecting persistence of volatility are initially formulated by evaluating three Lévy processes at a time change given by the integral of a mean‐reverting square root process. The model for the mean‐reverting time change is then generalized to include non‐Gaussian models that are solutions to Ornstein‐Uhlenbeck equations driven by one ...
Geman, Hélyette +3 more
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, 2005 Stochastic volatility (SV) is the main concept used in the elds of nancial economics and mathematical nance to deal with the endemic time-varying volatility and codependence found in nancial markets. Such dependence has been known for a long time.
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Comparative analysis of stochastic models for simulating leveraged ETF price paths [PDF]
Mathematics and Modeling in FinanceThis paper compares stochastic models for simulating leveraged Exchange-Traded Funds (LETFs) price paths, focusing on their applications in risk management and option pricing.
Kartikay Goyle
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Numerical Simulation of the Heston Model under Stochastic Correlation
International Journal of Financial Studies, 2017 Stochastic correlation models have become increasingly important in financial markets. In order to be able to price vanilla options in stochastic volatility and correlation models, in this work, we study the extension of the Heston model by imposing ...
Long Teng +2 more
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Medidas alternativas de volatilidad en el mercado de valores peruano
Revista de Análisis Económico y Financiero, 2019 This document seeks to compare the main volatility calculation methodologies for the Peruvian stock market. Three volatility calculation methods are presented, the EWMA model, the GARCH model and the Stochastic Volatility (SV) model.
Rafael Nivin Valdiviezo
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Model of Continuous Random Cascade Processes in Financial Markets
Frontiers in Physics, 2020 This article presents a continuous cascade model of volatility formulated as a stochastic differential equation. Two independent Brownian motions are introduced as random sources triggering the volatility cascade: one multiplicatively combines with ...
Jun-ichi Maskawa, Koji Kuroda
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Forecasting the Crude Oil Prices Volatility With Stochastic Volatility Models
SAGE Open, 2021 In this article, the stochastic volatility model is introduced to forecast crude oil volatility by using data from the West Texas Intermediate (WTI) and Brent markets.
Dondukova Oyuna, Liu Yaobin
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Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
, 1995 This paper prepared for the Handbook of Statistics (Vol.14: Statistical Methods in Finance), surveys the subject of stochastic volatility. the following subjects are covered: volatility in financial markets (instantaneous volatility of asset returns, implied volatilities in option prices and related stylized facts), statistical modelling in discrete ...
Ghysels, E., Harvey, A., Renault, E.
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