In this thesis we address problems associated with financial modelling from a Bayesian point of view. Specifically, we look at the problem of calibrating financial models, measuring the model uncertainty of a claim and choosing an optimal hedging strategy. Throughout the study, the local...

The high pace at which many of the world's energy markets have gradually been opened tocompetition have generated a significant amount of new financial activity. Both academicians and practitioners alike recently started to develop the tools of energy derivatives pricing/hedging as a...

The dissertation discusses issues in the field of industrial organization. When the government provides better infrastructure to competing firms for innovation, private firms' R&D expenditures are affected. When the government doesn't assure project completion, the uncertainty impacts private...

This paper is a deductive theoretical enquiry into the flow of effects from the geometry of price bubbles/busts, to price indices, to pricing behaviours of sellers and buyers, and back to price bubbles/busts. The intent of the analysis is to suggest analytical approaches to identify the...

Recently, single equation approaches for estimating structural models have become popular in the monetary economics literature. In particular, single-equation Generalized Method Moments estimators have been used for estimating forward-looking models with rational expectations. Two important...

This paper examines supply response models in a rational expectations framework for each one of the fourmajor Greek meat markets, i.e. beef, broiler, lamb and pork. A multivariate GARCH model with Choleskydecomposition is used to incorporate price volatility into the rational expectations supply...

In recent times the emergence of the property cycle and the effects that it has on theproperty market has caused the relevant parties involved in the market to start placingmore emphasis on how these cycle works. The overall objective of this study is to tryestablish if the interpretation of...

This paper provides an adaptive learning algorithm for linear stochastic models with expectational leads in which forecasts for an arbitrary period ahead of the current state feed back into the economic system. The concept of an unbiased forecasting rule with generates rational expectations...

This paper investigates a financial market in which investors with linear mean-variance preferences and multiperiod planning horizons of arbitrary finite length interact. Given heterogeneous subjective beliefs, the temporary equilibrium map determining market clearing prices is calculated...

The standard overlapping generations model is extended to include retradeable paper assets (shares) of firms. Two period lived consumers hold portfolios including paper assets and capital in order to transfer wealth over time. An infinitely lived firm produces a stochastic output using a...