Information Flows, Stock Market Volatility and the Systemic Risk in Global Finance
ABSTRACT Information flows are a theoretical explanation for stock market volatility, but controversy remains regarding how to measure them. Based on cross‐sectional and temporal properties of information flows, we decompose total trading volume into four types: cross‐country shocks and country‐specific shocks due to arrivals of private information ...
Yen‐Hsiao Chen +3 more
wiley +1 more source
The Covid-19 pandemic is recognized as one of the most important pandemics of the last century and has led to a global recession and decline, affecting all sectors in different ways. In this study, volatility spillovers between variables are analyzed. In
Erkan Alsu, İbrahim Halil Uçar
doaj +1 more source
Determinants of the ZAR/USD exchange rate and policy implications: A simultaneous-equation model
This paper examines the determinants of the South African rand/US dollar (ZAR/USD) exchange rate based on demand and supply analysis. Applying the EGARCH method, the paper finds that the ZAR/USD exchange rate is positively associated with the South ...
Yu Hsing
doaj +1 more source
Do political events affect stock return volatility on Indonesian Stock Exchange
This study has the purpose to examine the effect of political events on the volatility of stocks traded on the Indonesia Stock Exchange (IDX). Furthermore, this study also sees whether such political events also influence the shares that have direct ...
Vina Nurlita, Prima Naomi
doaj +1 more source
Improving Forecasts of the EGARCH Model Using Artificial Neural Network and Fuzzy Inference System
This paper proposes an innovative semiparametric nonlinear fuzzy-EGARCH-ANN model to solve the problem of accurate modeling for forecasting stock market volatility.
Geleta T. Mohammed +2 more
doaj +1 more source
The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH [PDF]
In the class of univariate conditional volatility models, the three most popular are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or EGARCH) model of Nelson (1990, 1991).
Chang, Chia-Lin, McAleer, Michael
openaire +4 more sources
The Dynamics of European Economic Systems Amid the Russia–Ukraine Conflict: A Cybernetics Approach
ABSTRACT This study analyzes the dynamics of European economic systems in the context of the Russia–Ukraine conflict, employing a cybernetics approach and advanced econometric models. Based on the premise that national economies operate as complex adaptive systems, the study investigates the impact of geopolitical shocks on macroeconomic equilibrium ...
Ionuț Nica +3 more
wiley +1 more source
Asymmetric stable stochastic volatility models: estimation, filtering, and forecasting
This article considers a stochastic volatility model featuring an asymmetric stable error distribution and a novel way of accounting for the leverage effect. We adopt simulation‐based methods to address key challenges in parameter estimation, the filtering of time‐varying volatility, and volatility forecasting.
Francisco Blasques +2 more
wiley +1 more source
Estimation and Inference for Higher‐Order Stochastic Volatility Models With Leverage
ABSTRACT Statistical inference—estimation and testing—for stochastic volatility models is challenging and computationally expensive. This problem is compounded when leverage effects are allowed. We propose efficient, simple estimators for higher‐order stochastic volatility models with leverage [SVL(p)$$ (p) $$], based on a small number of moment ...
Md. Nazmul Ahsan +2 more
wiley +1 more source
Market efficiency and the Euro: the case of the Athens Stock Exchange [PDF]
The efficient market hypothesis (EMH) is tested in the case of the Athens Stock Exchange (ASE) after the introduction of the euro. The underlying assumption is that stock prices would be more transparent; their performance easier to compare; the ...
Panagiotidis, T
core +1 more source

