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Hang Qian


Iowa State University

Last seen: 7 días hace |  Con actividad desde 2011

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He is a researcher in time series analysis and Bayesian econometrics. Professional Interests: Bayesian Econometrics

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MIDAS Matlab Toolbox
Repack of Mi(xed) Da(ta) S(ampling) regressions (MIDAS) written by Eric Ghysels and collaborators

más de 3 años hace | 27 descargas |

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time series with rolling returns using periodicreturns
Yes, you can use these returns for time series model estimation (arima, arima-garch etc) and forecasting. If the daily return is...

alrededor de 6 años hace | 1

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Econometrics Toolbox Cross Correlation, how to use?
Hi Mehmet, If your time series is sorted from newest to oldest, the first thing that you may want to do is to revert the orde...

más de 6 años hace | 0

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(G)ARCH estimation. Input series.
Hi Dmitry, If we have obtained the residuals, then we can create a GARCH model and just estimate the variance equation, like ...

más de 6 años hace | 0

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How to decide the stationary about time series.
Hi Hong, As the name suggests, ADF is Dickey-Fuller test augmented by lagged regressors. The default value of MATLAB function...

más de 6 años hace | 1

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Correct fmincon() constraints for GARCH?
Hi Michael, Typically we add some inequality constraints to ensure a positive conditional variance in the GARCH(1,1) model, l...

casi 7 años hace | 0

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Error using garch/validateModel; Non-zero degree P requires a non-zero degree Q.
There is a work-around: *set the optimization algorithm as interior-point so that Q will not be exactly zero.* options = opt...

casi 7 años hace | 0

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Handling with an Error caused by using GARCH(1,1) in Matlab
Hi Manuel, The error message “Non-zero degree P requires a non-zero degree Q” basically says that the conditional volatility ...

casi 7 años hace | 0

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augmented dickey fuller Matlab
Hi Jan, Yes, ADFTEST without augmentation is the standard Dickey-Fuller test, where Y(t) = c + phi * Y(t-1) + noise, H0...

alrededor de 7 años hace | 2

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Matlab arima estimate error
I guess that the lower bound constraints become effective under some model specifications. When the estimated model has a reduce...

alrededor de 7 años hace | 0

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VMA(1) estimation
Hi Wei, In many cases, the VMA coefficients cannot be reliably estimated, unless there is a large sample with high quality da...

más de 7 años hace | 0

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new Garch fit function
Hi Muhamed, The new GARCH fit function is called “estimate”, which uses data to estimate the unknown parameters in the GARCH ...

más de 7 años hace | 0

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hac function: pvalues or confidence intervals
Hi Fregior, Yes, the point estimator returned by HAC is the same as the OLS estimator. HAC returns the covariance matrix E...

más de 7 años hace | 0

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How do I compute bootstrap confidence interval for a VAR impulse response function?
Hi Samuel, To bootstrap the confidence interval, simulate VAR coefficients using the VAR point estimator and its covariance m...

más de 7 años hace | 0

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What are the differences in implementation of ARIMA models (estimate and forecast) in R2015b vs R2017a
Hi Jonas, ARIMA model is estimated by maximum likelihood, which requires numeric maximization using the Optimization Toolbox. T...

más de 7 años hace | 0

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hac results vary bewteen MATLAB R2015b and MATLAB R2016b
Hi Lucia, Thank you for reporting this edge case. The codes work on my Windows computer both in R2016a and R2016b. The res...

casi 8 años hace | 0

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Question about GARCH forecast command
Hello - In GARCH models, the input argument ‘numPeriods’ represents forecast horizon, say the conditional volatility for y(t...

casi 8 años hace | 0

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How to subtract two matrices of character type arrays?
You may consider row-wise comparison (possibly in a FOR loop) setxor({'a','b','c','d','e'},{'a','b'}) setxor({'a','b','c',...

alrededor de 8 años hace | 0

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panel ols with unbalanced data
Hi Alberto, For an unbalanced panel data set, one may consider padding NaNs in the response variables for those cross-section...

alrededor de 8 años hace | 1

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converting garchsim with simulate or filter
Hello Sandro, GARCHSIM has been retired and is no longer available in the Econometrics Toolbox. One way to recover "preRe...

más de 8 años hace | 0

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arima object failed to initialize.
The properties of the ARIMA object can be reset by users. These codes should work. If not, the function might be corrupted. For ...

más de 8 años hace | 0

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using"filter" - error message for inputs 'Y0'
The filter method of GARCH does have a name-value pair Y0. The demo runs smoothly on my computer. If it generates that error, I ...

más de 8 años hace | 0

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How to estimate NAIRU in a state space model of the econometrics toolbox
It seems that the constructed SSM is not exactly the same as the one described in the equations. Usually C and D is a low-dimens...

más de 8 años hace | 0

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How to avoid GARCH estimation model to show output in the command window?
Hi Haoqing, To suppress display, we can add a name-value pair 'Display', say EstMdlGARCH_i=estimate(Mdl,r(i:i+843),'Displa...

más de 8 años hace | 6

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Seemingly Unrelated Regressions (SUR) with equivalent of the White or Newey-West covariance matrix?
Hi Ilona, Suppose that we have a SUR with n equations and T periods. First, estimate a SUR system using the function VGXVA...

más de 8 años hace | 0

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Time Series Forecasting after taking first differences
Hi shackelferd, Time series regression of non-stationary, but not cointegrated, data may suffer from the “spurious regressio...

más de 8 años hace | 0

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Is it possible to triangularize the VAR system in order to orthogonalize the innovations?
Hi Richard, I think it depends on the VAR specification. If the triangularized model looks like Y(t) = A1 * Y(t-1) + A...

más de 8 años hace | 0

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Creating a block matrix of matrices?
Hello, If the FOR loop is not your choice, you may consider the following: >> A = [1 1]; >> B = [2 2]; >> C = blkdia...

más de 8 años hace | 2

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Estimate ARMA(1,1) using estimate: Parameter AR(1) is missing
The problem appears unusual. I tried your codes estimate(arima('ARLag',1,'MALag',1,'Constant',0),y) However, the software...

más de 8 años hace | 0

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Detrend timeseries of conditional heteroscedasticiy using GARCH(1,1)
Hi Jannic, To remove the conditional variance from the observations, we may first estimate the model, and then we infer the c...

casi 9 años hace | 1

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