A Scenario Generation Algorithm For Multistage Stochastic Programming Application For Asset Allocation Models With Derivatives
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A Scenario Generation Algorithm for Multistage Stochastic Programming: Application for Asset Allocation Models with Derivatives
Modern financial portfolio management problems as well as asset/liability problems use stochastic optimization to allocate financial assets. To implement and solve such a stochastic optimization based portfolio allocation problem, we require scenario trees for the description of the future market evolutions of every random variable present in the model. This thesis proposes a general algorithm to construct scenario trees for underlying assets as well as options on these assets. The algorithm is based on the simulation of GARCH processes and on a Wasserstein distance minimization for the reduction of the number of scenarios. Several processes are analyzed, and empirical results on the DAX 100 and on European Put and Call options on this index are presented.
Stochastic Programming
This book shows the breadth and depth of stochastic programming applications. All the papers presented here involve optimization over the scenarios that represent possible future outcomes of the uncertainty problems. The applications, which were presented at the 12th International Conference on Stochastic Programming held in Halifax, Nova Scotia in August 2010, span the rich field of uses of these models. The finance papers discuss such diverse problems as longevity risk management of individual investors, personal financial planning, intertemporal surplus management, asset management with benchmarks, dynamic portfolio management, fixed income immunization and racetrack betting. The production and logistics papers discuss natural gas infrastructure design, farming Atlantic salmon, prevention of nuclear smuggling and sawmill planning. The energy papers involve electricity production planning, hydroelectric reservoir operations and power generation planning for liquid natural gas plants. Finally, two telecommunication papers discuss mobile network design and frequency assignment problems.
Handbook of Asset and Liability Management
The Handbooks in Finance are intended to be a definitive source for comprehensive and accessible information in the field of finance. Each individual volume in the series presents an accurate self-contained survey of a sub-field of finance, suitable for use by finance and economics professors and lecturers, professional researchers, graduate students and as a teaching supplement. It is fitting that the series Handbooks in Finance devotes a handbook to Asset and Liability Management. Volume 2 focuses on applications and case studies in asset and liability management.The growth in knowledge about practical asset and liability modeling has followed the popularity of these models in diverse business settings. This volume portrays ALM in practice, in contrast to Volume 1, which addresses the theories and methodologies behind these models. In original articles practitioners and scholars describe and analyze models used in banking, insurance, money management, individual investor financial planning, pension funds, and social security. They put the traditional purpose of ALM, to control interest rate and liquidity risks, into rich and broad-minded frameworks. Readers interested in other business settings will find their discussions of financial institutions both instructive and revealing.* Focuses on pragmatic applications * Relevant to a variety of risk-management industries* Analyzes models used in most financial sectors