Implied volatility is the level of dispersion of asset price changes that is embedded in the market prices of option contracts written on that asset.
Heinonen, Anssi
core
A machine learning approach to risk based asset allocation in portfolio optimization. [PDF]
Agal S, Raulji K, Odedra ND.
europepmc +1 more source
Did the policy responses influence credit and business cycle co-movement during the COVID-19 crisis? Evidence from Indonesia. [PDF]
Prabheesh KP, Sasongko A, Indawan F.
europepmc +1 more source
Memory-Driven Dynamics: A Fractional Fisher Information Approach to Economic Interdependencies. [PDF]
Batrancea LM +4 more
europepmc +1 more source
Fresh evidence on connectedness between prominent markets during COVID-19 pandemic. [PDF]
Younis I +5 more
europepmc +1 more source
A Multiple Indicators Model for Volatility Using Intra-Daily Data [PDF]
Many ways exist to measure and model financial asset volatility. In principle, as the frequency of the data increases, the quality of forecasts should improve. Yet, there is no consensus about a true' or best' measure of volatility.
Robert F. Engle, Giampiero M. Gallo
core
Enhancing Prediction by Incorporating Entropy Loss in Volatility Forecasting. [PDF]
Urniezius R +9 more
europepmc +1 more source
Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality. [PDF]
Gherghina ŞC, Simionescu LN.
europepmc +1 more source
Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations. [PDF]
Kim HS, Kim DH, Choi SY.
europepmc +1 more source
Dynamic financial tail risk networks: A backtesting-based conditional expected shortfall approach. [PDF]
Zhang D, Yan X, Shen F.
europepmc +1 more source

