RSS
- You are here:
- Research Repository UCD
- >
- Institutes and Centres
- >
- Financial Mathematics Computation Cluster
- >
- Browsing Financial Mathematics Computation Cluster by Title
JavaScript is disabled for your browser. Some features of this site may not work without it.
Browsing Financial Mathematics Computation Cluster by Title
Now showing items 21-33 of 33
-
Maximum margin decision surfaces for increased generalisation in evolutionary decision tree learning (Springer, 2011-04-27)Decision tree learning is one of the most widely used and practical methods for inductive inference. We present a novel method that increases the generalisation of genetically-induced classification trees, which employ ...
-
(IEEE Press, 2010-07)Designing a suitable objective function is an essential step in successfully applying an evolutionary algorithm to a problem. In this study we apply a grammar-based Genetic Programming algorithm called Grammatical Evolution ...
-
(Springer, 2011-04)This paper investigates the effects of early stopping as a method to counteract overfitting in evolutionary data modelling using Genetic Programming. Early stopping has been proposed as a method to avoid model overtraining, ...
-
(Springer, 2011-04)This paper investigates the effects of early stopping as a method to counteract overfitting in evolutionary data modelling using Genetic Programming. Early stopping has been proposed as a method to avoid model overtraining, ...
-
(Intelligent Systems Research Centre, 2011-08-31)We are living in an age of information overload, where it can be difficult to define which information is relevant and important to the end user at a point in time. In this paper, we introduce a solution to apportioning ...
-
(Emerald, 2012)We examine whether the hedging effectiveness of crude oil futures is affected by asymmetry in the return distribution by applying tail specific metrics to compare the hedging effectiveness of both short and long hedgers. ...
-
(IEEE Press, 2010-07)Asset allocation is critical for the portfolio management process. In this paper, we solve a dynamic asset allocation problem through a multiperiod stochastic programming model. The objective is to maximise the expected ...
-
(IEEE Press, 2010-07)A significant problem in the area of stock selection is that of identifying the factors that affect a security’s return. While modern portfolio theory suggests a linear multi-factor model in the form of Arbitrage Pricing ...
-
(Springer, 2011)This chapter explores the issue of overfitting in grammar-based Genetic Programming. Tools such as Genetic Programming are well suited to problems in finance where we seek to learn or induce a model from data. Models that ...
-
(2009)Risk aversion is a key element of utility maximizing hedge strategies; however, it has typically been assigned an arbitrary value in the literature. This paper instead applies a GARCH-in-Mean (GARCH-M) model to estimate a ...
-
(Cambridge Journals, 2010-06)This paper proposes the use of wavelet methods to estimate U.S. core inflation. It explains wavelet methods and suggests they are ideally suited to this task. Comparisons are made with traditional CPI-based and regression-based ...
-
(University College Dublin. School of Business. Centre for Financial Markets, 2006-09-10)This paper proposes the use of wavelet methods to estimate U.S. core inflation. It explains wavelet methods and suggests they are ideally suited to this task. Comparisons are made with traditional CPI-based and regression-based ...
-
(Elsevier, 2011-07-27)A key issue in the estimation of energy hedges is the hedgers’ attitude towards risk which is encapsulated in the form of the hedgers’ utility function. However, the literature typically uses only one form of utility ...
Now showing items 21-33 of 33