activity
20162026
most citedModeling and evaluating conditional quantile dynamics in VaR forecasts

1 citations · 3 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

q-fin.GN2020

On Classifying the Effects of Policy Announcements on Volatility

Giampiero M. Gallo, Demetrio Lacava, Edoardo Otranto

The financial turmoil surrounding the Great Recession called for unprecedented intervention by Central Banks: unconventional policies affected various areas in the economy, includi…

q-fin.ST2020★ 1 cited

Mixed--frequency quantile regressions to forecast Value--at--Risk and Expected Shortfall

Vincenzo Candila, Giampiero M. Gallo, Lea Petrella

Although quantile regression to calculate risk measures has been widely established in the financial literature, when considering data observed at mixed--frequency, an extension is…

q-fin.ST2020

Unconventional Policies Effects on Stock Market Volatility: A MAP Approach

Demetrio Lacava, Giampiero M. Gallo, Edoardo Otranto

Taking the European Central Bank unconventional policies as a reference, we suggest a class of Multiplicative Error Models (MEM) taylored to analyze the impact such policies have o…

q-fin.ST2020

Doubly Multiplicative Error Models with Long- and Short-run Components

Alessandra Amendola, Vincenzo Candila, Fabrizio Cipollini +1

We suggest the Doubly Multiplicative Error class of models (DMEM) for modeling and forecasting realized volatility, which combines two components accommodating low-, respectively,…

q-fin.ST2020

A dynamic conditional approach to portfolio weights forecasting

Fabrizio Cipollini, Giampiero M. Gallo, Alessandro Palandri

We build the time series of optimal realized portfolio weights from high-frequency data and we suggest a novel Dynamic Conditional Weights (DCW) model for their dynamics. DCW is be…