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Methods of Efficient Parameter Estimation in Control Problems
Efficient Parameter Estimation Control Problems
2015/8/5
Methods of Efficient Parameter Estimation in Control Problems.
Numerical methods for the quadratic hedging problem in Markov models with jumps
Quadratic hedging Hamilton-Jacobi-Bellman equation Markov jump processes Par-tial integro-di erential equation Holder spaces electricity markets discretization schemes for PIDE.
2012/9/14
We develop algorithms for the numerical computation of the quadratic hedging strategy in incomplete markets modeled by pure jump Markov process. Using the Hamilton-Jacobi-Bellman approach, the value f...
Computing Functionals of Multidimensional Diffusions via Monte Carlo Methods
Computing Functionals of Multidimensional Diffusions Monte Carlo Methods Numerical Analysis Computational Finance
2012/4/28
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...
Pricing of average strike Asian call option using numerical PDE methods
Asian Option Crank Nicolson Implicit Method Higher Order Compact Monte Carlo Simulation
2011/7/4
In this paper, a standard PDE for the pricing of arithmetic average strike Asian call option is presented. A Crank-Nicolson Implicit Method and a Higher Order Compact finite difference scheme for this...
American Options Based on Malliavin Calculus and Nonparametric Variance Reduction Methods
American Options Malliavin Calculus Monte Carlo GPU
2011/7/25
Abstract: This paper is devoted to pricing American options using Monte Carlo and the Malliavin calculus. Unlike the majority of articles related to this topic, in this work we will not use localizati...
Quantile Mechanics II: Changes of Variables in Monte Carlo methods and a GPU-Optimized Normal Quantile
Monte Carlo Student hyperbolic variance gamma, computational
2010/10/29
This article presents di erential equations and solution methods for the functions of the form A(z) = F1(G(z)), where F and G are cumu-lative distribution functions. Such functions allow the...
Nonparametric methods for volatility density estimation
stochastic volatility models deconvolution density estimation kernel estimator wavelets minimum contrast estimation
2010/11/2
Stochastic volatility modelling of nancial processes has become increasingly popular. The proposed models usually contain a stationary volatility process. We will motivate and review several nonparam...
IDEOLOG: A Program for Filtering Econometric Data - A Synopsis of Alternative Methods
Business cycles impulse response filters frequency domain autoregressive models
2010/9/7
An account is given of various filtering procedures that have been implemented in a computer program, which can be used in analysing econometric time series. The program provides some new filtering pr...
IDEOLOG: A Program for Filtering Econometric Data - A Synopsis of Alternative Methods
Business cycles impulse response filters frequency domain autoregressive models
2010/9/7
An account is given of various filtering procedures that have been implemented in a computer program, which can be used in analysing econometric time series. The program provides some new filtering pr...
A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series
Multistep forecasts Var forecasts Forecast comparisons
2014/3/18
‘‘Iterated’’ multiperiod-ahead time series forecasts are made using a one-period ahead model, iterated forward for the desired number of periods, whereas ‘‘direct’’ forecasts are made using a horizon-...
RECURSIVE SOLUTION METHODS FOR DYNAMIC LINEAR RATIONAL EXPECTATIONS MODELS
SOLUTION METHODS DYNAMIC LINEAR RATIONAL EXPECTATIONS MODELS
2014/3/18
This paper develops recursive solution methods for linear rational expectations models. The underlying structural model is transformed into a state-space representation, which can...