Search results for "EDAS"

ESCAPE TIMES IN STOCK MARKETS

2005

We study the statistical properties of escape times for stock price returns in the Wall Street market. In particular we get the escape time distribution for real data from daily transactions and for three models: (i) the Wiener process with drift and a constant market volatility, (ii) Heston and (iii) GARCH models, where the volatility is a stochastic process. We find that the first model is unable to catch all the features of the escape time distribution of real data. Moreover, the Heston model describes the probability density function for both return and escape times better than the GARCH model.

Credit Demand and Supply Shocks in Italy During the Great Recession

2018

In this paper, we use Structural VAR analysis to disentangle credit demand and supply shocks and their eFFect on real economic activity in Italy during the 2008-2014 crisis period. The three endogenous variables considered are the loan interest rate, the loans growth rate and the employment to population ratio. The data are observed at annual frequency for each of 103 Italian provinces. The structural shocks are identified through heteroscedasticity, by letting the variance of the shocks to switch across four Italian macro-regions: North, Centre, South and Islands. Sign restrictions are used to interpret ex post the structural shocks. The empirical findings suggest a more important role of …

Uso de medicamentos associados ao risco de quedas em idosos não institucionalizados

2018

RESUMEN Objetivo: Determinar qué número de medicamentos consumidos diariamente es influyente en el riesgo de caídas en ancianos no institucionalizados y con historial de caídas en el último año. Método: Estudio descriptivo mediante muestreo aleatorio con la utilización de los siguientes instrumentos de medida: cuestionario de la OMS para el estudio de caídas en el anciano, escala de marcha y escala depresión geriátrica y escala de marcha y equilibrio. El análisis univariante, bivariante con prueba no paramétrica de Chi-cuadrado y regresión logística binaria se ellevó a cabo con el programa estadístico SPSS versión 21.0. Resultados: Participaron del estudio 213 personas. El consumo ≥ a 4 med…

Uncertainty estimation of a complex water quality model: The influence of Box–Cox transformation on Bayesian approaches and comparison with a non-Bay…

2012

Abstract In urban drainage modelling, uncertainty analysis is of undoubted necessity. However, uncertainty analysis in urban water-quality modelling is still in its infancy and only few studies have been carried out. Therefore, several methodological aspects still need to be experienced and clarified especially regarding water quality modelling. The use of the Bayesian approach for uncertainty analysis has been stimulated by its rigorous theoretical framework and by the possibility of evaluating the impact of new knowledge on the modelling predictions. Nevertheless, the Bayesian approach relies on some restrictive hypotheses that are not present in less formal methods like the Generalised L…

Intimidad de masa y regresión europea

2009

Volatility transmission patterns and terrorist attacks

2009

The objective of this study is to analyze volatility transmission between the US and Eurozone stock markets considering the effects of the September 11, March 11 and July 7 financial crises. In order to do this, we use a multivariate GARCH model and take into account the asymmetric volatility phenomenon, the non-synchronous trading problem and the crises themselves. Moreover, a graphical analysis of the Asymmetric Volatility Impulse-Response Functions (AVIRF) is introduced, which takes into consideration the crisis effect. Results suggest that there is bidirectional and asymmetric volatility transmission and show the different impact that terrorist attacks had on both markets. El objetivo d…

Estimation de la relation de salaires de Mincer : choix de specification et enjeux économétriques

2012

In the present doctoral thesis, we estimated Mincer’s (1974) semi logarithmic wage function for the French and Pakistani labour force data. This model is considered as a standard tool in order to estimate the relationship between earnings/wages and different contributory factors. Despite of its vide and extensive use, simple estimation of the Mincerian model is biased because of different econometric problems. The main sources of bias noted in the literature are endogeneity of schooling, measurement error, and sample selectivity. We have tackled the endogeneity and measurement error biases via instrumental variables two stage least squares approach for which we have proposed two new instrum…

Testing for financial contagion between developed and emerging markets during the 1997 East Asian crisis

2005

In this paper we examine whether during the 1997 East Asian crisis there was any contagion from the four largest economies in the region (Thailand, Indonesia, Korea and Malaysia) to a number of developed countries (Japan, UK, Germany and France). Following Forbes and Rigobon, we test for contagion as a significant positive shift in the correlation between asset returns, taking into account heteroscedasticity and endogeneity bias. Furthermore, we improve on earlier empirical studies by carrying out a full sample test of the stability of the system that relies on more plausible (over) identifying restrictions. The estimation results provide some evidence of contagion, in particular from Japan…

Bayesian two-stage regression with parametric heteroscedasticity

2008

In this paper, we expand Kleibergen and Zivot's (2003) Bayesian two-stage (B2S) model by allowing for unequal variances. Our choice for modeling heteroscedasticity is a fully Bayesian parametric approach. As an application, we present a cross-country Cobb–Douglas production function estimation.

Bayesian forecasting of demand time-series data with zero values

2013

This paper describes the development of a Bayesian procedure to analyse and forecast positive demand time-series data with a proportion of zero values and a high level of variability for the non-zero data. The resulting forecasts play decisive roles in organisational planning, budgeting, and performance monitoring. Exponential smoothing methods are widely used as forecasting techniques in industry and business. However, they can be unsuitable for the analysis of non-negative demand time-series data with the aforementioned features. In this paper, an unconstrained latent demand underlying the observed demand is introduced into the linear heteroscedastic model associated with the Holt-Winters…