Results 21 to 30 of about 22,553 (296)
MULTIFRACTIONAL STOCHASTIC VOLATILITY MODELS [PDF]
Mathematical Finance, 2013 The aim of this work is to advocate the use of multifractional Brownian motion (mBm) as a relevant model in financial mathematics. mBm is an extension of fractional Brownian motion where the Hurst parameter is allowed to vary in time. This enables the possibility to accommodate for varying local regularity, and to decouple it from long‐range dependence
Corlay, Sylvain +2 more
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Estimation of Dynamic Panel Data Models with Stochastic Volatility Using Particle Filters
Econometrics, 2016 Time-varying volatility is common in macroeconomic data and has been incorporated into macroeconomic models in recent work. Dynamic panel data models have become increasingly popular in macroeconomics to study common relationships across countries or ...
Wen Xu
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ESTIMASI VOLATILITAS STOKASTIK CRYPTOCURRENCY BITCOIN MENGGUNAKAN MODEL HESTON-MILSTEIN
E-Jurnal Matematika, 2022 Volatility is a quantity that measures how far a stock or cryptocurrency price moves in a certain period. To measure volatility properly, it can be done by using volatility modeling.
NI PUTU WIDYA ISWARI DEWI +2 more
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Option Pricing under Two-Factor Stochastic Volatility Jump-Diffusion Model
Complexity, 2020 Empirical evidence shows that single-factor stochastic volatility models are not flexible enough to account for the stochastic behavior of the skew, and certain financial assets may exhibit jumps in returns and volatility.
Guohe Deng
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Financial Innovation, 2023 We propose a novel stochastic modeling framework for coal production and logistics using option pricing theory. The problem of valuing the inherent real optionality a coal producer has when mining and processing thermal coal is modelled as pricing spread
Mesias Alfeus, James Collins
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Alternative Asymmetric Stochastic Volatility Models [PDF]
The stochastic volatility model usually incorporates asymmetric effects by introducing the negative correlation between the innovations in returns and volatility.
Michael McAleer, Manabu Asai
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Pricing Vulnerable European Options under Lévy Process with Stochastic Volatility
Discrete Dynamics in Nature and Society, 2018 This paper considers the pricing issue of vulnerable European option when the dynamics of the underlying asset value and counterparty’s asset value follow two correlated exponential Lévy processes with stochastic volatility, and the stochastic volatility
Chaoqun Ma, Shengjie Yue, Yishuai Ren
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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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Jump Driven Risk Model Performance in Cryptocurrency Market
International Journal of Financial Studies, 2020 This paper aims at identifying a validated risk model for the cryptocurrency market. We propose a stochastic volatility model with co-jumps in return and volatility (SVCJ) to highlight the role of jumps in returns and volatility in affecting Value-at ...
Ramzi Nekhili, Jahangir Sultan
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Stochastic Volatility of Volatility in Continuous Time
SSRN Electronic Journal, 2009 This paper introduces the concept of stochastic volatility of volatility in continuous time and, hence, extends standard stochastic volatility (SV) models to allow for an additional source of randomness associated with greater variability in the data.
Barndorff-Nielsen, Ole, Veraart, Almut
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