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How Chinese Financial Centers Integrate into Global Financial Center Networks: An Empirical Study Based on Overseas Expansion of Chinese Financial Service Firms
urban networks corporate networks financial service firms global financial centers China
2018/4/3
The increasing globalization of the Chinese economy has been enabled by both Chinese financial institutions operating globally as well as international firms operating within China. In geographical te...
Closed-form expansion, conditional expectation, and option valuation
asymptotic expansion diffusion option pricing conditional expectation iterated stochastic integral
2016/1/20
Enlightened by the theory of Watanabe [Watanabe S (1987) Analysis of Wiener functionals (Malliavin calculus) and its applications to heat kernels. Ann. Probab. 15:1–39] for analyzing generalized rando...
The Flexible Substitution Logit:Uncovering Category Expansion and Share Impacts of Marketing Instruments
Decision Choices and Conditions Forecasting and Prediction Investment Brands and Branding
2015/4/24
Different instruments are relevant for different marketing objectives (category demand expansion or market share stealing). To help brand managers make informed marketing mix decisions, it is essentia...
Sustainable agriculture expansion:estimation and reduction of nitrogen impacts, case study of China
Sustainable agriculture integrated modeling robust allocation environmental indicators health exposure nitrogen fluxes
2014/3/12
Industrialization of agriculture has a number of comparative advantages however adverse implications such as environmental impacts, health hazards, GHG emissions establish the need to identify pathway...
The Empirical Edgeworth Expansion for a Studentized Trimmed Mean
Empirical Edgeworth expansions Studentized trimmed means
2011/7/5
We establish the validity of the empirical Edgeworth expansion (EE) for a studentized trimmed mean, under the sole condition that the underlying distribution function of the observations satisfies a l...
Slow convergence to normality: and Edgeworth expansion without third moment
Slow convergence to normality Edgeworth expansion without third moment
2009/9/22
Let F be a non-lattice distribution function which lies in
the domain of attraction of a normal distribution. Exact uniform convergence
rates are obtained for the convergence of the normalized parti...
An extension of the inductive approach to the lace expansion
lace expansion critical dimension asymptotic behaviour
2009/3/20
We extend the inductive approach to the lace expansion, previously developed to study models with critical dimension 4, to be applicable more generally. In particular, the result of this note has rece...
Asymptotic Expansion Under Degeneracy
asymptotic expansion diffusion functional M-estimator mixing process
2009/3/10
We will consider a stochastic expansion described by random variables whose covariance matrix is asymptotically degenerate. Though the conventional approach with Bhattacharya-Ghosh's transform require...
Asymptotic Expansion for Stochastic Processes：an Overview and Examples
Asymptotic expansions ε-Markov process Malliavin calculus
2009/3/5
The asymptotic expansion method for ε-Markov processes with a mixing property is briefly reviewed. It is illustrated by a point process marked by a diffusion process. As a typical application, the exp...
Adaptive Optimal Nonparametric Regression and Density Estimation Based on Fourier-Legendre Expansion
Adaptive estimations regression density martingale confidence interval Legend repolynomials
2010/4/29
Motivated by finance and technical applications, the objective of this paper
is to consider adaptive estimation of regression and density distribution based
on Fourier-Legendre expansion, and constr...
Recursive Parameter Estimation：Asymptotic expansion
recursive estimation estimating equations stochasticapproximation.
2010/4/29
We consider estimation procedures which are recursive in the
sense that each successive estimator is obtained from the previous
one by a simple adjustment. The model considered in the paper is
very...
A Closed-Form Approximation of Likelihood Functions for Discretely Sampled Diffusions：the Exponent Expansion
Closed-Form Approximation Likelihood Functions Discretely Sampled Diffusions Exponent Expansion
2010/4/27
In this paper we discuss a closed-form approximation of the likelihood functions of
an arbitrary diffusion process. The approximation is based on an exponential ansatz
of the transition probability ...