Results 71 to 80 of about 16,252 (305)
Asymptotics for Parametric GARCH-in-Mean Models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Conrad, Christian, Mammen , Enno
openaire +4 more sources
Return and Volatility Spillovers Among Major Cotton Markets
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
wiley +1 more source
Time‐varying volatility modelling of Baltic stock markets
As time‐varying volatility has found applications in roughly all time series modelling in economics, it largely draws attention in the areas of financial markets.
Bora Aktan +2 more
doaj +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Impact Of Structural Shifts on Variance Persistence in Asymmetric Garch Models: Evidence From Emerging Asian and European Markets [PDF]
In this study we examined the effect of structural break points in conditional volatility on variance persistency of asymmetric GARCH models. We used Bai and Perron methodology to detect structural break points in conditional variance of daily stock ...
Altaf Muhammad, Zhang Shuguang
doaj
Testing for identification in SVAR-GARCH models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Helmut Luetkepohl, George Milunovich
openaire +2 more sources
On buffered threshold Garch models
published_or_final_version
LO, PH, Li, G, Yu, PLH, Li, WK
openaire +3 more sources
Parameter estimation in nonlinear AR–GARCH models [PDF]
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a general nonlinear autoregression of order p (AR(p)) with the conditional variance specified as a general ...
Mika Meitz, Pentti Saikkonen
core
Ein elektrochemischer Aptamer‐Sensorchip nutzt Interdigitalelektroden mit selektiver Monoschicht‐Funktionalisierung, um Dopamin und Cortisol mittels robuster komplementärer „Signal‐Off/On“‐Antworten zu detektieren. Diese Dual‐Channel‐Signalumwandlung ermöglicht eine schnelle Detektion innerhalb von 5–30 min bei geringen Probenvolumina in künstlicher ...
Senyao Wang +12 more
wiley +1 more source
This article summarizes the huge literature on GARCH Models. It is a survey on this subject to spread those models throughout the Portuguese readers.
Rodrigo De Losso da Silveira Bueno
doaj

