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This article presents an experimental setup that has been used successfully to teach concepts in the economics of auctions, and implications for e-Business procurement. The experiment is easily admini...
Managers at NPD departments of Taiwan consumer electronic industry were interviewed to explore the effects innovation strategy (IS) has on design strategy (DS) and finally on product design characteri...
In this paper, we investigate risk minimization problem of derivatives based on non-tradable underlyings by means of dynamicg-expectations which are slight different from conditionalg-expectations. In...
In this paper we present a theoretical framework for determining dynamic ask and bid prices of derivatives using the theory of dynamic coherent acceptability indices in discrete time. We prove a versi...
We discuss suitable classes of diffusion processes, for which functionals relevant to finance can be computed via Monte Carlo methods. In particular, we construct exact simulation schemes for processe...
Purpose - This paper seeks to take a cautionary stance to the impact of the marketing mix on customer satisfaction, via a case study deriving consensus rankings for benchmarking on selected retail sto...
We demonstrate that graphs embedded on surfaces are a powerful and practical tool to generate, characterize and simulate networks with a broad range of properties. Remarkably, the study of topological...
To better understand the spatial structure of large panels of economic and nancial time series and provide a guideline for constructing semiparametric models, this paper rst consid- ers estimating...
We develop a nonparametric regression-based goodness-of-fit test for multifactor continuous-time Markov models using the conditional characteristic function, which often has a convenient closed form o...
We develop a nonparametric regression-based goodness-of-fit test for multifactor continuous-time Markov models using the conditional characteristic function, which often has a convenient closed form o...
To construct a no-arbitrage defaultable bond market, we work on the state price density framework. Using the heat kernel approach (HKA for short) with the killing of a Markov process, we construct a s...
We consider a statistical model for pairs of traded assets, based on a Cointegrated Vector Auto Regression (CVAR) Model. We extend standard CVAR models to incorporate estimation of model parameters in...
We apply multiple testing procedures to the validation of estimated default probabilities in credit rating systems. The goal is to identify rating classes for which the probability of default is estim...
We present analytical solutions for two-dimensional Laplace transforms of barrier option prices, as well as an approximation based on Laplace transforms for the prices of finite-time horizon American...
In a semimartingale financial market model, it is shown that there is equivalence be-tween absence of arbitrage of the first kind (a weak viability condition) and the existence of a strictly positive ...

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