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WSC
2008
13 years 9 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
IOR
2010
71views more  IOR 2010»
13 years 4 months ago
Stochastic Root Finding and Efficient Estimation of Convex Risk Measures
Reliable risk measurement is a key problem for financial institutions and regulatory authorities. The current industry standard Value-at-Risk has several deficiencies. Improved ri...
Jörn Dunkel, Stefan Weber
SIAMCO
2008
121views more  SIAMCO 2008»
13 years 7 months ago
A Direct Solution Method for Stochastic Impulse Control Problems of One-dimensional Diffusions
We consider stochastic impulse control problems where the process is driven by one-dimensional diffusions. Impulse control problems are widely applied to financial engineering and...
Masahiko Egami
ENGL
2008
186views more  ENGL 2008»
13 years 7 months ago
High Performance Monte-Carlo Based Option Pricing on FPGAs
High performance computing is becoming increasingly important in the field of financial computing, as the complexity of financial models continues to increase. Many of these financ...
Xiang Tian, Khaled Benkrid, Xiaochen Gu
CORR
2006
Springer
141views Education» more  CORR 2006»
13 years 7 months ago
Ideas by Statistical Mechanics (ISM)
Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interac...
Lester Ingber