Great video extremely helpful. Can I ask you a question if you don't mind? If one were trying simply to get the conditional variance of a set of data (monthly stock index returns in my case), to test whether certain months are positively correlated with said conditional variance, what is the best way to calculate this conditional variance? Thanks in advance.
hey, could you please send me the excel worksheet for using the garch (1,1) model please? the excel worksheet that i got is abit complicated, yours is simple.
@Alveuz Yes, they are both measures of market volatility, but remember to treat VIX carefully as it sometimes fails to do its cause, i.e. it doesn't always look forward as it implies.
how can we predict the values of alpha, beta and gamma for our calculations. please tell the maths behind this so that it is easier for me to go ahead. :) waiting for ur reply :)
You don't really measure anything. You weight the returns with column E. You want to give higher weight to more recent observations. Instead of using 1/n equal weights to all of them.
Weights column (E) seems to be wrong. You need to shift the cells down by one, i.e the 10% should be in line 14, otherwise the alpha = 6%, beta = 94% will not give you the same result as the EWMA!!
For GARCH(1,1) estimation, Hull in his textbook, defines "u" as arithmetic return instead of logarithmic return. I noticed that in your calculations you used log return, which one we should use for our calculations?
can I ask you one question that values of gamma alpha beta are all arbitrarily set by you with the condition that sum of them is 1. but could we just estimate the gamma alpha and beta by the software itself say, STATA or Eview?
Great video extremely helpful. Can I ask you a question if you don't mind? If one were trying simply to get the conditional variance of a set of data (monthly stock index returns in my case), to test whether certain months are positively correlated with said conditional variance, what is the best way to calculate this conditional variance? Thanks in advance.
Clickerz86 5 months ago
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MCMCsimulation 7 months ago
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this was really helpful ....i was wandering if i could get some details to add your name in my reference section.
roshjesh 10 months ago
this was really helpful ....i was wandering if i could get some details to add your name in my reference section..
roshjesh 10 months ago
why do we add weights?
JSA19882007 1 year ago
hey, could you please send me the excel worksheet for using the garch (1,1) model please? the excel worksheet that i got is abit complicated, yours is simple.
JSA19882007 1 year ago
hi!- nice video! can i ask a little question?
How do you claculate variance n-1 (cell F13) is calculated as the variance(F14:F15) ?
Thanks
Flo
conflozed 1 year ago
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Does VIX from CBOE can be compared with Garch(1,1)?
If so, which has a better performance in calculate market volatility?
Thanks in advance
Alveuz 1 year ago
Does VIX from CBOE can be compared with Garch(1,1)?
If so, which has a better performance in calculate market volatility?
Thanks in advance
Alveuz 1 year ago
@Alveuz Yes, they are both measures of market volatility, but remember to treat VIX carefully as it sometimes fails to do its cause, i.e. it doesn't always look forward as it implies.
mammutpenthouse 1 year ago
Does VIX from CBOE can be compared with Garch(1,1)?
If so, which has a better performance in calculate market volatility?
Thanks in advance
Alveuz 1 year ago
Why are you using log returns? this is not a continuous but a discrete model.
oringent 1 year ago
Hello Sir How to caluculate the value of alpha, beta and gamma???
sangitawarade 2 years ago
you can OLS to estimate these parameters
oringent 1 year ago
how can we predict the values of alpha, beta and gamma for our calculations. please tell the maths behind this so that it is easier for me to go ahead. :) waiting for ur reply :)
abhishekpreetam 2 years ago
What does Column E mean? what do you measure with these weights?
rabbeborchert 2 years ago
You don't really measure anything. You weight the returns with column E. You want to give higher weight to more recent observations. Instead of using 1/n equal weights to all of them.
Napsugi04 2 years ago
Weights column (E) seems to be wrong. You need to shift the cells down by one, i.e the 10% should be in line 14, otherwise the alpha = 6%, beta = 94% will not give you the same result as the EWMA!!
Napsugi04 3 years ago
For GARCH(1,1) estimation, Hull in his textbook, defines "u" as arithmetic return instead of logarithmic return. I noticed that in your calculations you used log return, which one we should use for our calculations?
nikiforosc 3 years ago
can I ask you one question that values of gamma alpha beta are all arbitrarily set by you with the condition that sum of them is 1. but could we just estimate the gamma alpha and beta by the software itself say, STATA or Eview?
DannyChan333 3 years ago
Hi Danny, yes absolutely. Common is to use maximum likelihood method (MLE) to find parameters (weights) based on a sample. Thanks, David
bionicturtledotcom 3 years ago
Thanks.. very simplified..Great job!
brohrox 3 years ago
how do you work out the weightings of y, alpha and beta??
mjmcgiven 3 years ago
historical data from Yahoo finance
armjay 3 years ago
well explained.
kermanparts 3 years ago