We estimate in this paper a non probabilistic Markovien model of stocks prices with an evolutionary selection of heterogeneous strategies. We chose to proceed by estimation relating on 27 companies from the CAC 40 and the composite index corresponding to these 27 companies to avoid the risk of...

Inspired by findings of low–dimensional nonlinearities and the Theorem of Takens (1983) forecasting models of financial time series are often built upon nonparametric, i.e. universal nonlinear, univariate relationships. Empirical investigations, however, are seriously contaminated by the...

Employing an augmented univariate EGARCH model, we estimate the dynamic impact of information arrival as measured by volume on asymmetric news in the pre and post 2009 global financial crisis in the Athens Stock Exchange (ASE). Our results reveal that trading volume appears to capture a...

La courbe de structure des taux d'interet est une des composantes fondamentales de la theorie economique et financiere. Celle-ci, en etablissant une relation entre les taux d'interet et les maturites, permet d'evaluer de nombreux actifs financiers. Or, les methodes de revelation sont nombreuses...

Bayesian Acceptance Sampling Approach is associated with utilization of prior process history for the selection of Distributions (viz., Gamma Poisson, Beta Binomial) to describe the random fluctuations involved in Acceptance Sampling. Calvin (1984) provides procedures and tables for implementing...

This paper presents evidence suggesting that artificial neural networks approach (ANNs) outperform traditional statistical methods and can forecast equity premiums reasonably well. The study replicates out-of-sample estimates of regression using ANN with economic fundamentals as inputs. The...

Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price...

We provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous-time modeling paradigm traditionally used in asset pricing finance. Our approach builds directly on recently developed realized variation measures and...

A rapidly growing literature has documented important improvements in financial return volatility measurement and forecasting via use of realized variation measures constructed from high-frequency returns coupled with simple modeling procedures. Building on recent theoretical results in...

Several studies have put forward that hedge fund returns exhibit a nonlinear relationship with equity market returns, captured either through constructed portfolios of traded options or piece-wise linear regressions. This paper provides a statistical methodology to unveil such non-linear...