Results 21 to 30 of about 23,337 (310)

On the determinants of data breaches: A cointegration analysis [PDF]

open access: yesDecisions in Economics and Finance, 2020
AbstractCyber risks and particularly data breaches constitute one of the new frontiers of risk modeling for insurers across the world. We use the cointegration methodology to uncover the relation between data breaches and Bitcoin-related variables. We perform our analyses on two different datasets of data breaches. In both cases, we provide statistical
De Giovanni D., Leccadito A., Pirra M.
openaire   +2 more sources

Classification of brain states that predicts future performance in visual tasks based on co-integration analysis of EEG data

open access: yesRoyal Society Open Science, 2022
Electroencephalogram (EEG) is a popular tool for studying brain activity. Numerous statistical techniques exist to enhance understanding of the complex dynamics underlying the EEG recordings.
Marie Levakova   +2 more
doaj   +1 more source

BULGARIA'S FOREIGN TRADE AND ITS INFLUENCE ON ECONOMIC GROWTH [PDF]

open access: yesTrakia Journal of Sciences, 2023
There is also a growing body of literature on the relationship between foreign trade and economic growth, but many of these studies need to include the import variable.
E. Genchev
doaj   +1 more source

Determinants of Economic Growth: The Case of The United States of America

open access: yesJDE (Journal of Developing Economies), 2022
The purpose of this article is to find long- and short-term determinants of U.S. economic growth over the period 1970-2016. By using cointegration analysis and vector error correction models, we compensated for many variables that were not previously ...
Sayef Bakari, Sofien Tiba
doaj   +1 more source

Explaining Cointegration Analysis: Part 1 [PDF]

open access: yesThe Energy Journal, 2000
'Classical' econometric theory assumes that observed data come from a stationary process, where means and variances are constant over time. Graphs of economic time series, and the historical record of economic forecasting, reveal the invalidity of such an assumption.
Hendry, D, Juselius, K
openaire   +2 more sources

Identification of the Equilibrium Exchange Rate Pass-Through Effect in Cointegrated VAR with an Application to the Euro area [PDF]

open access: yesEconomic and Business Review, 2017
The exchange rate pass-through is of considerable importance for policy makers in open economies. Based on work of Johansen (2002) this paper develops the conditions for the identification of equilibrium pass-througheffect in cointegration framework.
Igor Masten
doaj   +1 more source

Innovation indicators in the context of narrative economics

open access: yesJournal of New Economy, 2022
The analysis of innovation systems is a demanding task, which needs to be tackled comprehensively. Their modelling provides an indication of the formal innovative performance while the narrative analysis helps to examine relevant judgments about the ...
Vyacheslav V. Volchik   +2 more
doaj   +1 more source

Interactive Relationship among Urban Expansion, Economic Development, and Population Growth since the Reform and Opening up in China: An Analysis Based on a Vector Error Correction Model

open access: yesLand, 2019
Based on cointegration analysis, a vector error correction model (VECM), and the impulse response function method, this paper empirically analyses the interaction among urban expansion, economic development, and population growth in China from 1980 to ...
Yanwei Zhang, Hualin Xie
doaj   +1 more source

Similarity Issues in Cointegration Analysis

open access: yesOxford Bulletin of Economics and Statistics, 2000
Usually cointegration models involve a dynamic, stochastic component as well as deterministic components. This paper identifies relevant cointegration models in terms of interpretability and similarity with respect to parameters of deterministic components.
Rahbek, Anders, Nielsen, Bent
openaire   +1 more source

Cointegration Analysis with Mixed-Frequency Data [PDF]

open access: yesSSRN Electronic Journal, 2007
We develop a method for directly modeling cointegrated multivariate time series that are observed in mixed frequencies. We regard lower-frequency data as regularly (or irregularly) missing and treat them with higher-frequency data by adopting a state-space model.
Byeongchan Seong   +2 more
openaire   +3 more sources

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