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An important objective in process design in the wood-processing industry is to make the system robust – or insensitive – to sources of variability that cannot be entirely controlled once the system is...
This paper focuses on simple normative rules for monetary policy that central banks can use to guide their interest rate decisions. Such rules were first derived from research on empirical monetary ...
Spurred by the anti-regulation movement that started in the 1970s, voluntary self-regulation programs have emerged in many regulatory agencies, seeking to increase cooperation between government and i...
We show that in any game that is continuous at infinity, if a plan of action ai is played by a type ti in a Bayesian Nash equilibrium, then there are perturbations of ti for which ai is the only ratio...
In this paper the robust utility maximization problem for a market model based on Levy processes is analyzed. The interplay between the formof the utility function and the penalization function requir...
Assuming geometric Brownian motion as unaffected price process $S^0$, Gatheral & Schied (2011) derived a strategy for optimal order execution that reacts in a sensible manner on market changes but can...
In this paper, we study the impact of central bank opacity on macroeconomic performances in a new Keynesian framework with model uncertainty using robust control techniques. We identify a new source o...
This paper resolves a question proposed in Kardaras and Robertson (2011): how to invest in a robust growth-optimal way in a market where precise knowledge of the covariance structure of the underlying...
It is well known that the standard Lagrange multiplier (LM) test loses its local optimality when the true non-null model is not correctly specified. In this paper, we derive a score test robust to loc...
According to the Loss Distribution Approach, the operational risk of a bank is determined as 99.9% quantile of the respective loss distribution, covering unexpected severe events. The 99.9% quantile i...
We study global and local robustness properties of several estimators for shape and scale in a generalized Pareto model. The estimators considered in this paper cover maximum likelihood estimators, sk...
This paper addresses the question of how to invest in an extremely robust growth-optimal way in a market where the instantaneous expected return of the underlying process is unknown. The optimal inves...
We present an online approach to portfolio selection. The motivation is within the context of algorithmic trading, which demands fast and recursive updates of portfolio allocations, as new data arrive...
In this paper a discrete optimization problem under uncertainty is discussed. Solving such a problem can be seen as a game against nature. In order to choose a solution, the minmax and minmax regret ...
Double no-touch options, contracts which pay out a fixed amount provided an underlying asset remains within a given interval, are commonly traded, particularly in FX markets. In this work, we establis...

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