Results 91 to 100 of about 30,876 (197)

Metcalfe's law and log-period power laws in the cryptocurrencies market

Economics: Journal Articles, 2019
In this paper the authors investigate the statistical properties of some cryptocurrencies by using three layers of analysis: alpha-stable distributions, Metcalfe’s law and the bubble behaviour through the LPPL modelling.
Pele Daniel Traian, Mazurencu-Marinescu-Pele Miruna   +1 more
doaj   +1 more source

C53 - Revue Annuelle Produit : du Gardénal 50mg De Winthrop Pharma Sénégal / Groupe Sanofi

Journal Africain de Technologie Pharmaceutique et Biopharmacie, 2023
Introduction. La revue annuelle de la qualité des produits (RAQP), exigence internationale pour les formes finies et les substances actives, est particulièrement scrutée lors d’inspections et d’audits. Elle s'apparente à une validation rétrospective continue permettant de détecter toute dérive et de s’assurer de la fiabilité des procédés et de la ...
Ahmedou Bamba Koueimel FALL, Moussa DIOP, Mouhamed SIDY, Saer DIALLO, Oumar THIOUNE   +4 more
openaire   +1 more source

Forecasting world trade: direct versus “bottom-up” approaches [PDF]

In a globalised world economy, global factors have become increasingly important to explain trade flows at the expense of country-specific determinants.
Burgert, Matthias, Dées, Stéphane
core  

Early-warning tools to forecast general government deficit in the euro area: the role of intra-annual fiscal indicators [PDF]

In this paper I evaluate the usefulness of a set of fiscal indicators as early-warning-signal tools for annual General Government Net Lending developments for some EMU countries (Belgium, Germany, Spain, France, Italy, The Netherlands, Ireland, Austria ...
Pérez, Javier J.
core  

A Supervised Machine Learning in Financial Forecasting: Identifying Effective Models for the BIST100 Index

Review of Economic Perspectives
The purpose of this study is to identify the most effective supervised machine learning models for predicting the financial performance of companies listed on the BIST100 index.
Ergenç Cansu, Aktaş Rafet
doaj   +1 more source

Sector-specific financial forecasting with machine learning algorithm and SHAP interaction values

Financial Internet Quarterly
This study examines the application of machine learning models to predict financial performance in various sectors, using data from 21 companies listed in the BIST100 index (2013-2023).
Ergenç Cansu, Aktaş Rafet
doaj   +1 more source

EU policy reform simulation based on panel data estimation of on- and off-farm labour supply equations for Dutch dairy farmers [PDF]

This research focuses on the estimation of labour supply equations for Dutch dairy farmers that are suitable for policy simulations. Data availability leads to the fact that we can not estimate structural labour supply equations.
Hall, Alastair R., Ooms, Daan L.
core   +1 more source

Alternative Model Selection Using Forecast Error Variance Decompositions in Wholesale Chicken Markets [PDF]

Although Vector Autoregressive models are commonly used to forecast prices, specification of these models remains an issue. Questions that arise include choice of variables and lag length.
Carreira, Rita I., Goodwin, Harold L., Jr., McKenzie, Andrew M.   +2 more
core   +1 more source

Comparing and evaluating Bayesian predictive distributions of assets returns [PDF]

Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty.
Amisano, Gianni, Geweke, John
core  

El Paso Housing Sector Econometric Forecast Accuracy [PDF]

There is comparatively little empirical evidence regarding the accuracy of regional housing sector forecasts. Much of the recent analysis conducted for this topic is developed for housing starts and indicates a relatively poor track record.
Fullerton, Thomas M., Jr., Kelley, Brian W.   +1 more
core   +1 more source