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The paper empirically analyses the long run relationship between agricultural performance and the carbon dioxide emission in Turkey by using the annual data covering 1968–2010. The Bounds test approac...
We consider dynamic trading of a portfolio of assets in discrete periods over a finite time horizon, with arbitrary time-varying distribution of asset returns. The goal is to maximize the total expect...
The Parameterized Expectations Algorithm (PEA) is a powerful tool for solving nonlinear stochastic dynamic models. However, it has an important shortcoming:it is not a contraction mapping technique an...
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or, equivalently, the v...
This study investigates U.S. state economic growth from 1970 to 1999. I innovate on previous studies by developing a new approach for addressing “model uncertainty” issues associated with estimating g...
In this paper we investigate model-independent bounds for exotic options written on a risky asset using infinite-dimensional linear programming methods. Using arguments from the theory of Monge-Kant...
An Autoregressive Distributed Lag (ARDL) cointegration framework is used to examine the short-run and long-run characteristics of gasoline demand in the transport sector in Mauritius.
The pricing of exotic options in exponential L\'evy models amounts to the computation of expectations of functionals of the whole path of a L\'evy process. In many situations, Monte-Carlo methods are ...
We compute the improved bounds on the copula of a bivariate random vector when partial information is available, such as the values of the copula on the subset of $[0,1]^2$, or the value of a function...
We show that in a large class of stochastic volatility models with additional skew-functions (local-stochastic volatility models) the tails of the cumulative distribution of the log-returns behave as...
We consider option pricing in a regime-switching market. As the market is incomplete, there is no unique price for a derivative. We apply the good-deal bounds idea to obtain ranges for the price of a...
Abstract—A space bounded Stack Machine is a regular Turing Machine with a read-only input tape, several space bounded read-write work tapes, and an unbounded stack. Stack Machines with a logarithmic s...
We compute the improved bounds on the copula of a bivariate random vector when partial information is available, such as the values of the copula on the subset of $[0,1]^2$, or the value of a function...
Consider a frictionless market trading a finite number of co-maturing European call and put options written on a risky asset plus an instrument with path-dependent payoff known as a weighted variance...
In the context of an incomplete market with a Brownian filtration and a fixed finite time horizon T , this paper proves that for general dynamic convex risk measures, the buyer’s (pbuyer t ) and selle...

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