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Complete f-moment convergence for weighted sums of asymptotically almost negatively associated random variables and its application in semiparametric regression models 渐近几乎负相关随机变量加权和的完全f矩收敛及其在半参数回归模型中的应用
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-07-04 DOI: 10.1080/17442508.2023.2229644
Junjun Lang, Jibing Qi, Fei Zhang, Xuejun Wang
In this paper, we investigate the complete f-moment convergence for weighted sums of asymptotically almost negatively associated (AANA, for short) random variables. Our results improve and generalize the corresponding ones of [M.M. Xi, X. Deng, X.J. Wang, and Z.Y. Cheng, convergence and complete convergence for weighted sums of AANA random variables, Commun. Stat. Theory Methods 47(22) (2018), pp. 5604–5613]. As an application of our main results, some results on the complete consistency for the estimator in semiparametric regression models are obtained and a simulation study is provided to assess the finite sample performance of the theoretical results.
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引用次数: 0
Estimation and asymptotics for vector autoregressive models with unit roots and Markov switching trends 具有单位根和马尔可夫切换趋势的向量自回归模型的估计和渐近性
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-06-27 DOI: 10.1080/17442508.2023.2227752
Maddalena Cavicchioli
We provide a formal definition of an M-state multivariate Markov switching trend, describe its asymptotic distribution, and consider vector autoregressive processes with trends which contain either unit roots or a stationary part. Then, we estimate the coefficients of such models via ordinary least squares , and determine the asymptotic distributions of estimators in terms of functionals on a multivariate Brownian motion.
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引用次数: 0
Causal predictability between stochastic processes and filtrations 随机过程和过滤之间的因果可预测性
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-05-29 DOI: 10.1080/17442508.2023.2214265
Ana Merkle
In this paper we further develop a notion of causal predictability defined in [A. Merkle, Predictability and Uniqueness of Weak Solutions of Stochastic Differential Equations, Analele Stiintifice ale Universitatii Ovidius Constanta, 2022] as a concept of dependence which is based on Granger's definition of causality. More precisely, in [A. Merkle, Predictability and Uniqueness of Weak Solutions of Stochastic Differential Equations, Analele Stiintifice ale Universitatii Ovidius Constanta, 2022] causal predictability is defined between filtrations, but now we introduce causal predictability between stochastic processes and filtrations. Also, we provide some properties of this new concept. Then we apply the given causality concept to the uniqueness of weak solutions of the stochastic differential equations and in financial mathematics. Granger [Investigating causal relations by econometric models and cross spectral methods, Econometrica. 37 (1969), pp. 424–438] has considered causality concept between time series. In this paper we consider continuous time processes, since continuous time models represent the first step in various applications, such as in finance, econometric practice, neuroscience, epidemiology, climatology, demographic, etc.
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引用次数: 0
On the stochastic differentiability of noncausal processes with respect to the process with quadratic variation 关于非因果过程对二次变分过程的随机可微性
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-05-26 DOI: 10.1080/17442508.2023.2214266
Kiyoiki Hoshino
Let be a stochastic process with quadratic variation on a probability space and a dense subset of , where is regarded as the infinite interval when . First, we introduce the -module of V-differentiable noncausal processes on Q and V-derivative operator defined on , which enjoys the modularity: for any and . Second, we show that the class forms an -module, where stands for the quadratic variation on Q. As a result, we have the isometry: for any , where stands for the quadratic covariation on Q. Finally, we present universal properties and examples of the stochastic integral I with . This result is essentially used for solving the identification problem from the stochastic Fourier coefficients.
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引用次数: 0
On 1-point densities for Arratia flows with drift 带漂移的Arratia流的1点密度
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-05-12 DOI: 10.1080/17442508.2023.2211189
A. Dorogovtsev, Mykola B. Vovchanskyi
We show that if drift coefficients of Arratia flows converge in L1(R) or L∞(R) then the 1-point densities associated with these flows converge to the density for the flow with the limit drift. The Arratia flow, a continual system of coalescing Wiener processes that are independent until they meet, was introduced independently as a limit of coalescing random walks in [1], as a system of reflecting Wiener processes in [2] and as a limit of stochastic homeomorphic flows in [3]. If interpreted as a collection of particles started at 0, it is a part of the Brownian web [4]. At the same time, one can construct the Arratia flow with drift using flows of kernels defined in [5] (see [6, §6] for a short explanation) or directly via martingale problems by adapting the method used in [7] to build coalescing stochastic flows with more general dependence between particles (see [8, Chapter 7] for this approach). Following [8, Chapter 7], we consider a modification of the Arratia flow that introduces drift affecting the motion of a particle within the flow. So by an Arratia flow X ≡ {Xa(u, t) | u ∈ R, t ∈ R+} with bounded measurable drift a we understand a collection of random variables such that (1) for every u the process X(u, ·) is an Itô process with diffusion coefficient 1 and drift a; (2) for all t ≥ 0 the mapping Xa(·, t) is monotonically increasing; (3) for any u1, u2 the joint quadratic covariation of the martingale parts of X (u1, ·) and X(u2, ·) equals (t − inf{s | X(u1, s) = X(u2, s)})+, with inf ∅ being equal ∞ by definition. Since the set {Xa(u, t) | u ∈ R} is known to be locally finite for all t > 0 [8, Chapter 7], one defines for any t > 0 the point process {|Xa(A, t)| | A ∈ B(R)}. Studying of such a point process can be performed using point densities (see: [9, 10] for a definition and a representation in terms of Pfaffians in the case of zero drift, respectively; [11, 12] for representations in the case of non-trivial drift; [13, 14] for applications to the study of the above-mentioned point process). In accordance with [9, Appendix B], the following definition is adopted in the present paper: the 1-point density at time t of the point 2020 Mathematics Subject Classification. Primary 60H10; Secondary 60K35, 60G55, 35C10.
我们证明了如果Arratia流的漂移系数收敛于L1(R)或L∞(R),则与这些流相关的1点密度收敛于具有极限漂移的流的密度。Arratia流是一个连续的Wiener过程的合并系统,在它们相遇之前是独立的,它在[1]中作为合并随机游动的极限,在[2]中作为反映Wiener过程的系统,在[3]中作为随机同胚流的极限被独立引入。如果把它解释为从0开始的粒子集合,它就是布朗网[4]的一部分。与此同时,我们可以使用[5]中定义的核流来构建带有漂移的Arratia流(参见[6,§6]作简短解释),或者直接通过鞅问题,采用[7]中使用的方法来构建具有更普遍的粒子间依赖性的聚结随机流(参见[8,第7章])。在[8,第7章]之后,我们考虑对Arratia流的修改,引入影响流中粒子运动的漂移。因此,通过具有有界可测量漂移a的Arratia流X≡{Xa(u, t) | u∈R, t∈R+},我们可以理解一个随机变量的集合,使得(1)对于每一个u,过程X(u,·)是一个扩散系数为1且漂移a的Itô过程;(2)对于所有t≥0,映射Xa(·,t)单调递增;(3)对于任意u1, u2, X(u1,·)和X(u2,·)的鞅部分的联合二次协变等于(t - inf{s | X(u1, s) = X(u2, s)})+,根据定义,inf∅=∞。由于已知集合{Xa(u, t)| u∈R}对于所有的t > 0都是局部有限的[8,7章],因此对于任意t > 0定义点过程{|Xa(A, t)| | A∈B(R)}。对这种点过程的研究可以使用点密度(见[9,10],分别得到零漂移情况下用Pfaffians表示的定义和表示)来进行;[11,12]表示非平凡漂移的情况;[13,14]应用于上述点过程的研究)。根据[9,附录B],本文采用如下定义:2020数学学科分类点在时刻t的1点密度。主要60 h10;次级60K35、60G55、35C10。
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引用次数: 0
Strong solutions for the stochastic Allen-Cahn-Navier-Stokes system 随机Allen-Cahn-Navier-Stokes系统的强解
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-04-19 DOI: 10.1080/17442508.2023.2199124
G. Deugoue, A. Ndongmo Ngana, T. Tachim Medjo
We study in this article a stochastic version of a coupled Allen-Cahn-Navier-Stokes model on a bounded domain of . The model consists of the Navier-Stokes equations for the velocity, coupled with an Allen-Cahn model for the order (phase) parameter. We prove the existence and uniqueness of a local maximal strong solution when the initial data takes values in . Moreover in the two-dimensional case, we prove that our solution is global.
的有界区域上的Allen-Cahn-Navier-Stokes耦合模型的一个随机版本。该模型由速度的Navier-Stokes方程和阶数(相位)参数的Allen-Cahn模型组成。我们证明了当初始数据取值时局部极大强解的存在唯一性。并且在二维情况下,我们证明了我们的解是全局的。
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引用次数: 0
Reflecting image-dependent SDEs in Wasserstein space and large deviation principle 反映Wasserstein空间中图像依赖的SDEs和大偏差原理
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-04-13 DOI: 10.1080/17442508.2023.2199125
X. Yang
In this article, we study a class of reflecting stochastic differential equations whose coefficients depend on image measures of solutions under a given initial measure in Wasserstein space . By the penalization method, the image process, which is a diffusion process in , is constrained in a priori given domain . The large deviation principle for this reflecting image process is also established by weak convergence method.
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引用次数: 0
Anticipated BSDEs with reflection in convex region 凸区反射的预期BSDEs
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-04-03 DOI: 10.1080/17442508.2022.2084339
Xiaoyan Xu, Mingbo Zhang
In this paper, we deal with a class of reflected anticipated backward stochastic differential equation with convex reflecting boundary conditions. The existence and uniqueness of solution is obtained for equation with Lipschitz and non-Lipschitz generator respectively.
本文研究了一类具有凸反射边界条件的反射期望倒向随机微分方程。得到了具有Lipschitz生成器和非Lipschitz生成器的方程解的存在唯一性。
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引用次数: 0
On the random attractor for stochastic 2D hydrodynamical type equations with additive white noise 含加性白噪声的二维水动力型随机方程的随机吸引子
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-04-03 DOI: 10.1080/17442508.2022.2084340
N. T. Da, Do Van Loi
In this paper, we prove the existence of a random attractor, the finiteness of its fractal dimension, the random squeezing property, and the existence of a finite number of determining modes for an abstract stochastic 2D hydrodynamical type equations with additive white noise.
本文证明了一类具有加性白噪声的抽象二维随机水动力型方程的随机吸引子的存在性、分维数的有限性、随机挤压性以及决定模态的有限个数。
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引用次数: 0
A continuous-time model of self-protection 自我保护的连续时间模型
IF 1.7 2区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-03-29 DOI: 10.1007/s00780-023-00502-4
S. Bensalem, Nicolás Hernández-Santibánez, Nabil Kazi-Tani
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引用次数: 2
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Finance and Stochastics
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