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A universal approach to estimate the conditional variance in semimartingale limit theorems
The typical central limit theorems in high-frequency asymptotics for semimartingales are results on stable convergence to a mixed normal limit with...
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Dominating Process of a Semimartingale
In Chap. 7 , we saw that using random time change, any continuous semimartingale can be transformed... -
Discrete-type Approximations for Non-Markovian Optimal Stop** Problems: Part II
In this paper, we present a Longstaff-Schwartz-type algorithm for optimal stop** time problems based on the Brownian motion filtration. The...
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Detecting factors of quadratic variation in the presence of market microstructure noise
A method of detecting latent factors of quadratic variation (QV) of Itô semimartingales from a set of discrete observations is developed when the...
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Global jump filters and quasi-likelihood analysis for volatility
We propose a new estimation scheme for estimation of the volatility parameters of a semimartingale with jumps based on a jump detection filter. Our...
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Estimation of Tempered Stable Lévy Models of Infinite Variation
Truncated realized quadratic variations (TRQV) are among the most widely used high-frequency-based nonparametric methods to estimate the volatility...
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Bond Prices Under Information Asymmetry and a Short Rate with Instantaneous Feedback
We study an information asymmetry problem in a bond market. Especially we derive bond price dynamics of traders with different levels of information....
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European and Asian Greeks for Exponential Lévy Processes
In this paper we give easy-to-implement closed-form expressions for European and Asian Greeks for general L 2 -payoff functions and underlying assets...
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Maximum Likelihood Estimation in the Mixed Fractional Vasicek Model
We investigate the asymptotic properties of the maximum likelihood estimator of the unknown parameters in the fractional Vasicek model driven by a...
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Efficient Improved Estimation Method for Non-Gaussian Regression from Discrete Data
We study a robust adaptive nonparametric estimation problem for periodic functions observed in discrete fixed time moments with non-Gaussian... -
Nonparametric Estimation for Stochastic Differential Equations Driven by Mixed Fractional Brownian Motion with Random Effects
We discuss nonparametric estimation of the density of random effects in models governed by a stochastic differential equation driven by a mixed...
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A New Stochastic Fubini-Type Theorem
When a stochastic process is given through an Itō integral, i.e. a stochastic integral, or a stochastic differential equation (SDE), an analytical...
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Diffusion Approximation of Branching Processes in Semi-Markov Environment
We consider continuous-time Markov branching processes in semi-Markov random environment and obtain diffusion approximation results for the near...
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Correcting spot power variation estimator via Edgeworth expansion
In this paper, we propose an estimator of power spot volatility of order p through Edgeworth expansion. We provide a precise description of how to...
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SDE Driven by r.c.l.l. Semimartingales
In this chapter, we will consider stochastic differential equations as in Sect. 7.3 where the...