Most quantitative research is conducted by randomly selecting members of a population on which to conduct a study. When statistics are run on a sample, and not the entire population of interest, they are subject to a certain amount of error. Many factors can impact the amount of error, or bias,...

Falls and their injury outcomes have count distributions that are highly skewed toward the right with clumping at zero, posing analytical challenges. Different modelling approaches have been used in the published literature to describe falls count distributions, often without consideration of...

Portfolio selection has a long tradition in financial economics and plays an integral role in investment management. Portfolio selection provides the framework to determine optimal portfolio choice from a universe of available investments. However, the asset weightings from portfolio selection...

This paper investigates the farm level impacts of multiple peril yield and revenue insurance in an expected value-variance framework. The analysis is conducted using stochastic simulation jointly with numerical optimisation. Simulation is used to compute the means and variances of revenues as...

The objective of this paper was to compare and to analyze three portfolio selection models: Mean-Variance, Minimax and Minimax Weighted. These models were evaluated using historical data (September 1999 to August 2000, January 2001 to December 2001 and February 2002 to January 2003) obtained...

This dissertation consists of four stand-alone research papers which investigate various aspects of hedge fund performance and optimal portfolio choice. The first chapter of this thesis deals with the problem of unobserved hedge fund returns after delisting. It is a joint work with Prof. Jens...

Die Dissertation wendet die fallgestützte Entscheidungstheorie (Case-Based Decision Theory) vorgeschlagen von Gilboa and Schmeidler (1995) auf Entscheidungen in Finanzmärkten an. Betrachtet werden sowohl das individuelle Portfoliowahlproblem eines Investors, wie auch Märkte, in denen...

In der vorliegenden Arbeit werden Modelle für die Portfolio-Optimierung analysiert und implementieren. Dabei stehen quantitative Methoden der Fuzzy-Logik im Vordergrund. Zunächst wird das klassische Portfolio-Modell nach Markowitz dargestellt und dessen Resultate für einen Vergleich mit einem...

Longer horizon returns are modeled by two approaches, which have different impact on skewness and excess kurtosis. The Levy approach, which considers the random variable at longer horizon as the cumulants of i.i.d random variables from shorter horizons, tends to decrease skewness and excess...

This paper proposes different investment strategies for portfolio selection based on decision-making under uncertainty, rather than the conventional Markowitz portfolio model. The results of perfectinformation and the results of investment strategies for decision-making under uncertainty are...