Developing term structure models can be tricky, as unknown factors and non-observable variables can affect futures prices. But principal components analysis is useful in tackling these problems. Here, Delphine Lautier uses PCA to pin down price movements, test their stability over time and to discover whether the maturity date affects price dynamics.ou
This dissertation enhances the conventional Principal Component Analysis for the purpose of Forecast...
The purpose of this paper is to investigate the performance of three different models in the pricing...
Abstract. Factor based interest rate models are widely used for risk managing purposes, for option p...
We investigate whether the daily evolution of the term structure of petroleum futures can be forecas...
The main objective of this paper is to analyze the behavior of the term structure of the WTI futures...
Une version attachée à cette notice a été éditée par les Cahiers de recherche du CEREG, n°2004-02.Ce...
An empirical approach to analysing the forward curve dynamics of energy futures is presented. For no...
12 pages, 14 figures, 1 tableInternational audienceWe explore the effect of past market movements on...
This study successfully establishes the principal component analysis with discriminant analysis (PCA...
This thesis examines the cross-sectional dynamic performance of the US stock markets through Princip...
The literature provides strong evidence that stock price values can be predicted from past price dat...
Principal Component Analysis (PCA) is a risk management technique which is, due to the consequences ...
A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance f...
In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the ter...
Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is ...
This dissertation enhances the conventional Principal Component Analysis for the purpose of Forecast...
The purpose of this paper is to investigate the performance of three different models in the pricing...
Abstract. Factor based interest rate models are widely used for risk managing purposes, for option p...
We investigate whether the daily evolution of the term structure of petroleum futures can be forecas...
The main objective of this paper is to analyze the behavior of the term structure of the WTI futures...
Une version attachée à cette notice a été éditée par les Cahiers de recherche du CEREG, n°2004-02.Ce...
An empirical approach to analysing the forward curve dynamics of energy futures is presented. For no...
12 pages, 14 figures, 1 tableInternational audienceWe explore the effect of past market movements on...
This study successfully establishes the principal component analysis with discriminant analysis (PCA...
This thesis examines the cross-sectional dynamic performance of the US stock markets through Princip...
The literature provides strong evidence that stock price values can be predicted from past price dat...
Principal Component Analysis (PCA) is a risk management technique which is, due to the consequences ...
A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance f...
In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the ter...
Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is ...
This dissertation enhances the conventional Principal Component Analysis for the purpose of Forecast...
The purpose of this paper is to investigate the performance of three different models in the pricing...
Abstract. Factor based interest rate models are widely used for risk managing purposes, for option p...