Results 31 to 40 of about 11,262 (157)
EGARCH models with fat tails, skewness and leverage [PDF]
Computational Statistics & Data Analysis, 2014 two components.
Harvey, Andrew, Sucarrat, Genaro
openaire +4 more sources
Asymmetric long memory garch: a reply to hwang's model [PDF]
, 2003 Hwang (Econom. Lett. 71 (2001) 1) proposes the FIFGARCH model to represent long memory asymmetric conditional variances. However, the model is badly specified and does not nest some fractionally integrated heteroskedastic models previously proposed.
Pérez, Ana, Ruiz, Esther
core +5 more sources
Robust CDF‐Filtering of a Location Parameter
Journal of Time Series Analysis, EarlyView.ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
On the Invertibility of EGARCH [PDF]
, 2014 Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, which refers to the negative correlation between the returns ...
Martinet, D, McAleer, Michael
openaire +8 more sources
Cogent Economics & Finance, 2016 This paper investigates linkages among equity market returns and volatility spillovers in the following countries: Germany, United Kingdom, China, Russia, and Turkey.
Lidija Dedi, Burhan F. Yavas
doaj +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
The Monetary Policy–Commodities Nexus: A Survey
Journal of Economic Surveys, Volume 40, Issue 2, Page 1050-1082, April 2026.ABSTRACT This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities‐to‐policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state‐dependent ways that vary by shock type, exposure ...
Martin T. Bohl +2 more
wiley +1 more source
Business Review, 2022 This study examines the volatility transmission between the currency market and the stock market of Pakistan in the presence of structural breaks. For this purpose, daily data from the stock market and currency market is analyzed.
Muhammad Jamil , Hifsa Mobeen
doaj +1 more source
Measuring financial risk : comparison of alternative procedures to estimate VaR and ES [PDF]
, 2008 We review several procedures for estimating and backtesting two of the most important measures of risk, the Value at Risk (VaR) and the Expected Shortfall (ES). The alternative estimators differ in the way the specify and estimate the conditional mean
Nieto, María Rosa, Ruiz, Esther
core +1 more source
Information‐Driven Modeling of Energy Markets: An Unbalanced Wasserstein Barycenter Approach
Applied Stochastic Models in Business and Industry, Volume 42, Issue 2, March/April 2026.ABSTRACT A novel methodology is proposed for jointly modeling the price dynamics of natural gas and electricity by integrating graph‐based Machine Learning and optimal transport theory. The framework combines visibility graph embeddings with the Wasserstein barycenter to uncover latent structures and asymmetric dependencies between the two ...
Carlo Mari +2 more
wiley +1 more source