Search results for " causality"
showing 10 items of 109 documents
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality
2015
A challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences between time series. Two of the most used approaches are a model-free one (transfer entropy) and a model-based one (Granger causality). Several pitfalls are related to the presence or absence of assumptions in modeling the relevant features of the data. We tried to overcome those pitfalls using a neural network approach in which a model is built without any a priori assumptions. In this sense this method can be seen as a bridge between model-free and model-based approaches. The experiments perfo…
Multiscale Granger causality analysis by à trous wavelet transform
2017
Since interactions in neural systems occur across multiple temporal scales, it is likely that information flow will exhibit a multiscale structure, thus requiring a multiscale generalization of classical temporal precedence causality analysis like Granger's approach. However, the computation of multiscale measures of information dynamics is complicated by theoretical and practical issues such as filtering and undersampling: to overcome these problems, we propose a wavelet-based approach for multiscale Granger causality (GC) analysis, which is characterized by the following properties: (i) only the candidate driver variable is wavelet transformed (ii) the decomposition is performed using the…
El sistema de continuidad como proceso unificador
2007
El sistema de continuidad es un procedimiento de construcción de relatos audiovisuales que tiene como fundamento la causalidad narrativa y un conjunto de normas de elaboración, especialmente en el montaje, cuya finalidad es mostrar al espectador un desarrollo argumental lógico que se desarrolla en un espacio-tiempo diegético coherente. La continuidad, está sometida a un modelo ideológico de representación que condiciona la percepción. La continuidad no es, por lo tanto, un concepto absoluto, sino que evoluciona a lo largo del tiempo. Sin embargo, el sistema de continuidad permanece vigente porque garantiza el predominio de la cadena causal y la inmersión del espectador en el universo diegét…
The Counterfactual Reasoning and the Manipulative Account of Causality: the Origin of Causal Thinking from Free Will
2018
Is There a Connection between Sovereign CDS Spreads and the Stock Market? Evidence for European and US Returns and Volatilities
2020
This study complements the current literature, providing a thorough investigation of the lead&ndash
Stock earnings and bond yields in the US 1871–2017 : The story of a changing relationship
2021
Abstract Using historical data spanning almost 150 years, we examine whether there is a long-run equilibrium relationship between the stock's earnings and bond yields. The novelty of our econometric methodology consists in using a vector error correction model where we allow multiple structural breaks in the equilibrium relationship. The results of our analysis suggest the existence of an equilibrium relationship over 1871–1932 and 1958–2017. On the two historical segments, our analysis finds that the stock's earnings yield followed the bond yield in both the short run and long run, but not the other way around. Perhaps the most important and surprising finding of our empirical study is tha…
Main driving factors of the interest rate-stock market Granger causality
2017
Abstract This paper investigates the causal relationship between changes in the 10-year Treasury bond yield and the S&P 500 stock return in the United Sates with emphasis on time variation, stress factors and smooth regime transition. First, the time-varying Granger causality test proposed by Lu et al. (2014) is applied. Then a two-regime multifactor smooth transition regression model with a single transition variable representing a wide range of macroeconomic and financial variables is estimated in order to identify the key explanatory factors governing the causal relationship. The results show a significant bidirectional causal relationship over most of the study period, mainly due to the…
Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective?
2017
This paper investigates the presence of time-varying causal linkages in mean and variance between oil price changes and stock returns for six major oil-importing countries (France, Germany, Italy, Spain, the UK and the US) in a multiscale framework that combines wavelet analysis and a modified version of the dynamic causality test of Lu, Hong, Wang, Lai, and Liu (2014). The results show significant bidirectional causal relations between oil and stock markets at the different time horizons for all countries. The causal links tend to be stronger at coarser scales and in periods of financial turmoil, mainly during the recent global financial and European sovereign debt crises. This evidence pr…
Cities, hinterlands and agglomeration shadows: Spatial developments in Finland during 1880–2004
2010
Abstract This paper analyzes long-term spatial developments in Finland by focusing on two predictions of the new economic geography (NEG) models: the increasing persistence of locational patterns and the rising dominance of growth centers. The empirical analysis is based on regional population data from 1880 to 2004. The results support the hypotheses. Evolutions in rank and rank-size distributions during the processes of industrialization and urbanization suggest increasing persistence of regional structures. The analysis of causal processes between population centers and their hinterlands shows that these regions grew hand-in-hand in the pre-war period, whereas agglomeration shadows start…