Results 61 to 70 of about 3,856 (236)

Statistical Estimation and Classification Algorithms for Regime-Switching VAR Model with Exogenous Variables

open access: yesAustrian Journal of Statistics, 2017
We consider a vector autoregression model with exogenous variables and Markov-switching regimes to describe complex systems with cyclic changes of states.
Vladimir Malugin, Alexander Novopoltsev
doaj   +1 more source

Harnessing Diversity: Majority‐Group Acculturation Predicts Creativity and Flourishing Over Time

open access: yesEuropean Journal of Social Psychology, EarlyView.
ABSTRACT Creativity and flourishing are core aims of higher education (HE) institutions and government initiatives globally. Large‐scale projects have linked creativity and flourishing with cultural diversity, yet their associations with majority‐group acculturation (i.e., how members of dominant culture groups adopt minority‐cultural elements and/or ...
David Colledge   +9 more
wiley   +1 more source

The Interpretation of Coefficients of the Vector Autoregressive Model [PDF]

open access: yes, 2005
Johansen (2002) suggests a counterfactual experiment that can be implemented in the vector autoregressive model to interpret the coefficients of an identified cointegrating relation. This article proposes an alternative counterfactual experiment ("design of experiment") that, contrary to the one suggested by Johansen, does not imply a dichotomy of ...
openaire   +3 more sources

Robust estimation for vector autoregressive models

open access: yesComputational Statistics & Data Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Muler, Nora, Yohai, Victor Jaime
openaire   +3 more sources

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
wiley   +1 more source

The Impact of Public Debt on Sustainable Development. The Romanian Case Study [PDF]

open access: yesOvidius University Annals: Economic Sciences Series, 2023
The study aims to analyze the impact of the ratio between the public debt and the gross domestic product on the Romanian economic development, for years 2000 - 2021 and to offer solutions for growth and sustainable development.
Alin-Vasile Strachinaru
doaj  

An Investigation of the Relationship Between Central Bank Unconventional Monetary Policy and Bitcoin Activity

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This article investigates whether the unconventional monetary policy (UMP) measures pursued by the Federal Reserve, the Bank of England, the Bank of Japan, and the European Central Bank since the Global Financial Crisis (GFC) are associated with an appetite for cryptocurrency.
Niamh Wylie, Martha O'Hagan‐Luff
wiley   +1 more source

Consumption, investment and unemployment: SVAR tests of the effects of changes in the consumption-saving pattern

open access: yesCogent Economics & Finance, 2014
In this paper, we provide evidence supporting the hypothesis that permanent shifts in the consumption-saving pattern will have permanent effects on investment, with subsequent consequences for the unemployment rate, by estimating a structural vector ...
Roberto Bande-Ramudo   +2 more
doaj   +1 more source

On Counterfactual Interventions in Vector Autoregressive Models

open access: yes2024 32nd European Signal Processing Conference (EUSIPCO)
Counterfactual reasoning allows us to explore hypothetical scenarios in order to explain the impacts of our decisions. However, addressing such inquires is impossible without establishing the appropriate mathematical framework. In this work, we introduce the problem of counterfactual reasoning in the context of vector autoregressive (VAR) processes. We
Kurt Butler   +2 more
openaire   +3 more sources

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