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Volatility and correlation forecasting
TG Andersen, T Bollerslev, PF Christoffersen… - Handbook of economic …, 2006 - Elsevier
Volatility has been one of the most active and successful areas of research in time series
econometrics and economic forecasting in recent decades. This chapter provides a selective …
econometrics and economic forecasting in recent decades. This chapter provides a selective …
Temporal aggregation of univariate and multivariate time series models: a survey
A Silvestrini, D Veredas - Journal of Economic Surveys, 2008 - Wiley Online Library
We present a unified and up‐to‐date overview of temporal aggregation techniques for
univariate and multivariate time series models explaining in detail, although intuitively, the …
univariate and multivariate time series models explaining in detail, although intuitively, the …
[HTML][HTML] The impact of Covid-19 and Russia–Ukraine war on the financial asset volatility: Evidence from equity, cryptocurrency and alternative assets
This study investigates the volatility and external shock persistence within the financial and
alternative assets markets during times of crises triggered by Covid-19 and the war in …
alternative assets markets during times of crises triggered by Covid-19 and the war in …
[KNYGA][B] GARCH models: structure, statistical inference and financial applications
C Francq, JM Zakoian - 2019 - books.google.com
Provides a comprehensive and updated study of GARCH models and their applications in
finance, covering new developments in the discipline This book provides a comprehensive …
finance, covering new developments in the discipline This book provides a comprehensive …
Asymptotic theory for a vector ARMA-GARCH model
This paper investigates the asymptotic theory for a vector autoregressive moving average–
generalized autoregressive conditional heteroskedasticity (ARMA-GARCH) model. The …
generalized autoregressive conditional heteroskedasticity (ARMA-GARCH) model. The …
New frontiers for ARCH models
R Engle - Journal of applied econometrics, 2002 - Wiley Online Library
In the 20 years following the publication of the ARCH model, there has been a vast quantity
of research uncovering the properties of competing volatility models. Wide‐ranging …
of research uncovering the properties of competing volatility models. Wide‐ranging …
Conditional correlations and volatility spillovers between crude oil and stock index returns
This paper investigates the conditional correlations and volatility spillovers between the
crude oil and financial markets, based on crude oil returns and stock index returns. Daily …
crude oil and financial markets, based on crude oil returns and stock index returns. Daily …
Modelling multivariate international tourism demand and volatility
International tourism demand, which is typically measured as tourist arrivals, to Australia has
experienced dramatic fluctuations in recent years due to changes in the economic, financial …
experienced dramatic fluctuations in recent years due to changes in the economic, financial …
[KNYGA][B] Financial econometrics: from basics to advanced modeling techniques
A comprehensive guide to financial econometrics Financial econometrics is a quest for
models that describe financial time series such as prices, returns, interest rates, and …
models that describe financial time series such as prices, returns, interest rates, and …
Structure and asymptotic theory for multivariate asymmetric conditional volatility
Various univariate and multivariate models of volatility have been used to evaluate market
risk, asymmetric shocks, thresholds, leverage effects, and Value-at-Risk in economics and …
risk, asymmetric shocks, thresholds, leverage effects, and Value-at-Risk in economics and …