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What are the pros and cons of using multivariate Filtered Historical Simulation with univariate GARCH models compared to a GARCH-DCC approach?

I am assessing the market risk of an equity portfolio and have come across an example in the MATLAB documentation that uses a multivariate Filtered Historical Simulation technique: https://it....
Barbab's user avatar
  • 363
0 votes
0 answers
29 views

Deriving the multivariate asset returns model and interpreting cholesky factorization

I am trying to understand the multivariate asset returns model for a portfolio of assets from chapter 4 DCC-GARCH of Orskaug "Multivariate DCC-GARCH Model With Various Error Distributions" (...
Jose_Peeterson's user avatar
0 votes
1 answer
231 views

How to interpret DCC GARCH alpha and beta (dcca1 and dccb1 in R)

I have just run a DCC GARCH model in R and am trying to interpret the output. I have run the model with 3 time series. I know that alpha and beta tell about the short- and long-term spillover effect. ...
Nina's user avatar
  • 1
3 votes
0 answers
54 views

What are some sound multivariate GARCH models with proven mathematical/statistical properties?

Some popular multivariate GARCH models such as BEKK and DCC have been criticized for the nonexistence of the corresponding stochastic processes and (if I interpret that correctly) the following ...
Richard Hardy's user avatar
3 votes
1 answer
1k views

How do I extract VaR estimation from DCC-GARCH model in R?

I have estimated a DCC-GARCH model in R and I need to extract the Value at Risk for an equally weighted portfolio from the estimated model. ...
Marco Lorenzo's user avatar
3 votes
1 answer
446 views

Standard BEKK parameters

I am looking at a BEKK Multivariate GARCH model. In a standard GARCH model, we generally expect, $$h_t=\omega+\alpha u_{t-1}^2 +\beta\sigma_{t-1}^2$$ The alpha ($\alpha$) coefficient to be ...
Francis Origi's user avatar
0 votes
0 answers
59 views

Forecasting a DCCGARCH model estimated by the ccgarch package

How can one predict a dcc-garch model in R using parameters estimated from dcc.estimation from the package ccgarch? MWExample: ...
BayesIsBaye's user avatar
0 votes
1 answer
2k views

Obtaining point forecasts from a DCC-GARCH model in rmgarch in R [closed]

I am becoming more acquainted with GARCH models in R, but I am not sure my code is right for what I am trying to do, so I would appreciate any help. Based on an xts I create using data from a csv ...
Coolio2654's user avatar
1 vote
1 answer
330 views

Estimates and forecasts of correlation matrix of CCC GARCH across windows

I have already estimated my DCC GARCH parameters and forecasted covariances on a rolling window basis. Now I want to use CCC GARCH forecasted covariances on the same rolling window basis as a ...
Hsk's user avatar
  • 73
3 votes
1 answer
12k views

Interpretation of DCC-GARCH output

I have done fitted a DCC-GARCH model using the dccfit function from the "rmgarch" package in R. The output is below: ...
nsaa's user avatar
  • 57
1 vote
1 answer
2k views

Multivariate volatility forecasting (GARCH)

I have to analize 19 asset class, in order to make a volatility forecasting for each one. I know that with the EGARCH model (with the help of MATLAB) I can forecast volatiity, but only for 1 asset ...
Daniele's user avatar
  • 23