搜索结果: 1-15 共查到“理论经济学 Optimization”相关记录21条 . 查询时间(0.109 秒)
Multiperiod Optimization in Economic Systems with Unknown Parameters
Multiperiod Optimization Economic Systems
2015/8/5
Multiperiod Optimization in Economic Systems with Unknown Parameters.
Scientists use 'voting' and 'penalties' to overcome errors in quantum optimization（图）
voting penalties quantum optimization
2014/3/21
By tying quantum bits into voting blocks, scientists can create significant protection against decoherence.
Optimization Method for Interval Portfolio Selection Based on Satisfaction Index of Interval inequality Relation
Interval portfolio selection satisfaction index semiabsolute deviation risk parametric linear programming
2012/9/14
In this paper we consider an interval portfolio selection problem with uncertain returns and introduce an inclusive concept of satisfaction index for interval inequality relatio...
Portfolio optimization with insider's initial information and counterparty risk
asymmetric information enlargement of filtrations counterparty risk optimal investment duality dynamic programming.
2012/9/14
We study the gain of an insider having private information which concerns the default risk of a counterparty. More precisely, the default time τ is modelled as the first time a stochastic process hits...
On the Equivalence of Quadratic Optimization Problems Commonly Used in Portfolio Theory
investment analysis mean-variance analysis parameter uncertainty interval estimation test theory.
2012/9/14
In the paper, we consider three quadratic optimization problems which are frequently applied in portfolio theory, i.e, the Markowitz mean-variance problem as well as the problems based on the mean-var...
We develop a new model of random choice to study violations of the weak axiom of
revealed preference. We introduce the notion of a stochastic preference and show that it
implies the Luce model. Our ...
Monte Carlo Portfolio Optimization for General Investor Risk-Return Objectives and Arbitrary Return Distributions: a Solution for Long-only Portfolios
Portfolio Optimization Optimisation Random Portfolio Monte Carlo Simplex
2010/10/21
We develop the idea of using Monte Carlo sampling of random portfolios to solve portfolio investment problems. In this first paper we explore the need for more general optimization tools, and conside...
When do improved covariance matrix estimators enhance portfolio optimization? An empirical comparative study of nine estimators
covariance matrix nine estimators portfolio optimization
2010/4/28
The use of improved covariance matrix estimators as an alternative to the sample estimator is considered an important approach for enhancing portfolio optimization. Here we empirically compare the per...
Portfolio optimization in a defaults model under full/partial information
Optimal investment default time default intensity,filtering dynamic program-ming principle
2010/4/27
In this paper, we consider a financial market with assets exposed to some risks inducing jumps in the asset prices, and which can still be traded after default times. We use a default-intensity modeli...
Portfolio optimization in a defaults model under full/partial information
Optimal investment default time default intensity filtering
2010/10/19
In this paper, we consider a financial market with assets exposed to some risks inducing jumps in the asset prices, and which can still be traded after default times. We use a default-intensity model...
A note on evolutionary stochastic portfolio optimization and probabilistic constraints
note evolutionary stochastic portfolio optimization probabilistic constraints
2010/10/18
In this note, we extend an evolutionary stochastic portfolio optimization framework to include probabilistic constraints. Both the stochastic programming-based modeling environment as well as the evol...
A note on evolutionary stochastic portfolio optimization and probabilistic constraints
evolutionary stochastic portfolio optimization probabilistic constraints
2010/10/18
In this note, we extend an evolutionary stochastic portfolio optimization framework to include probabilistic constraints. Both the stochastic programming-based modeling environment as well as the evol...
On the rates of convergence of simulation based optimization algorithms for optimal stopping problems
optimal stopping simulation based algorithms entropy with bracketing increments of empirical processes
2010/11/2
In this paper we study simulation based optimization algorithms for solving discrete time optimal stopping problems. This type of algorithms became popular among practioneers working in the area of qu...
Classical mean-variance portfolio theory12 tells us how to construct a portfo-lio of assets which has the greatest expected return for a given level of return volatility. Utility theory then allows an...
Making Robust Decisions in Discrete Optimization Problems as a Game against Nature
Discrete optimization minmax minmax regret game against nature
2009/7/17
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 ...