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Parameterized Expectations Algorithm and the Moving Bounds
Nonlinear models Numerical solutions methods Optimal growth Parameterized expectations algorithm
2015/7/21
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...
Asymptotically Optimal Algorithm for Short-Term Trading Based on the Method of Calibration
Asymptotically Optimal Algorithm Short-Term Trading the Method of Calibration Artificial Intelligence
2012/6/5
A trading strategy based on a natural learning process, which asymptotically outperforms any trading strategy from RKHS (Reproduced Kernel Hilbert Space), is presented. In this process, the trader rat...
Belief Propagation Algorithm for Portfolio Optimization Problems
Belief Propagation Algorithm Portfolio Optimization Problems
2010/10/21
The typical behavior of optimal solutions to portfolio optimization problems with absolute deviation and expected shortfall models using replica analysis was pioneeringly estimated by S. Ciliberti and...
Detrending moving average algorithm for multifractals
Detrending moving average algorithm multifractals
2010/10/20
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term correlations of non-stationary time series and the long-range correlations of fractal surfaces, which...
Segmentation algorithm for non-stationary compound Poisson processes
Segmentation algorithm non-stationary compound Poisson processes
2010/10/18
We introduce an algorithm for the segmentation of a class of regime switching processes. The segmentation algorithm is a non parametric statistical method able to identify the regimes (patches) of th...
Finding the Efficient Frontier for a Mixed Integer Portfolio Choice Problem Using a Multiobjective Algorithm
Markowitz Model Multiobjective Optimization NSGA Portfolio Selection
2013/2/23
We propose a computational procedure to find the efficient frontier for the standard Markowitz mean-variance model with discrete variables. The integer constraints limit on the one hand the portfolio ...