Mathematical models form the basis of decisions made in the fields of economics, finance, medicine and climatology. Given that things tend not to follow a mathematical model in real life, there's almost always a mismatch between model-based decisions and their desired effect. This dissertation examines alternative models that are statistically plausible. It also seeks to find an investment strategy that is less sensitive to deviations from the current model. With life expectancy continuing to rise, model-based interest rates will have a considerable impact on the policies developed by pension funds and insurance companies over the next century or so. The amount of interest determines how much money should be set aside to cover future pay-ou...
We discuss integrated chance constraints in their role of short-term risk constraints in a strategic...
Yee Cheng Loon’s dissertation abstract Model uncertainty exists in the mutual fund literature. Rese...
International audienceThis paper discusses an approach for treating model uncertainties in relation ...
Mathematical models form the basis of decisions made in the fields of economics, finance, medicine a...
This dissertation studies model uncertainty, particularly in financial models. It consists of two em...
Central banks analyze economic data in order to uncover the dynamics of the economy and the interdep...
We considered a pension fund that needs to hedge uncertain long-term liabilities. We modeled the pen...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
The stochastic optimal decision-making problem concerns the process of dynamically deciding actions ...
My doctoral thesis “Essays on Lifetime Uncertainty: Models, Applications, and Economic Implications”...
We discuss integrated chance constraints in their role of short-term risk constraints in a strategic...
In this article we review the state of play in the use of stochastic models for the measurement and ...
This dissertation studies the impact of estimation uncertainty in short-rate interest rate models an...
This article uses stochastic simulations on a calibrated model to assess the impact of different pen...
Recently there has been a great deal of interest in studying monetary policy under model uncertainty...
We discuss integrated chance constraints in their role of short-term risk constraints in a strategic...
Yee Cheng Loon’s dissertation abstract Model uncertainty exists in the mutual fund literature. Rese...
International audienceThis paper discusses an approach for treating model uncertainties in relation ...
Mathematical models form the basis of decisions made in the fields of economics, finance, medicine a...
This dissertation studies model uncertainty, particularly in financial models. It consists of two em...
Central banks analyze economic data in order to uncover the dynamics of the economy and the interdep...
We considered a pension fund that needs to hedge uncertain long-term liabilities. We modeled the pen...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
The stochastic optimal decision-making problem concerns the process of dynamically deciding actions ...
My doctoral thesis “Essays on Lifetime Uncertainty: Models, Applications, and Economic Implications”...
We discuss integrated chance constraints in their role of short-term risk constraints in a strategic...
In this article we review the state of play in the use of stochastic models for the measurement and ...
This dissertation studies the impact of estimation uncertainty in short-rate interest rate models an...
This article uses stochastic simulations on a calibrated model to assess the impact of different pen...
Recently there has been a great deal of interest in studying monetary policy under model uncertainty...
We discuss integrated chance constraints in their role of short-term risk constraints in a strategic...
Yee Cheng Loon’s dissertation abstract Model uncertainty exists in the mutual fund literature. Rese...
International audienceThis paper discusses an approach for treating model uncertainties in relation ...