Questions tagged [volatility]

175 questions
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The same graph plotted [ggplot2]

I came across a problem with creating a list of plots. I have created garch predictions and I have those values in list: for(i in 1:length(Tickery)) { name <- paste(Tickery[i]) log_ret <- diff(log(CP_list[[i]])) log_ret_list[[name]] <-…
ltrd
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quantlibxl yield term structure / volatility surface and american option

I'm new to quantlib and I'm only using the excel addins to be precise. Do you now is it possible to call a yield term structure and a volatility surface when pricing an american option (fairly sure you can)? What is the name of the object called?…
Benji_90210
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Simulating returns from ARMA(1,1) - MCsGARCH(1,1) model

How can I find expected intraday return of ARMA(1,1) - MCsGARCH(1,1) Model in R? The sample code of the model is available at http://www.unstarched.net/2013/03/20/high-frequency-garch-the-multiplicative-component-garch-mcsgarch-model/
Asli
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Forecasting of BEKK(1,1) model for 5 variables

I have estimated a BEKK(1,1) model and now I want to have forecast values of the model. Following are the R codes to estimate the BEKK(1,1) model. > install.packages('MTS') > install.packages('rmgarch') > simulated <- simulateBEKK(2, 1000, c(1,…
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How do I retain the dates of a zoo object if the new column is calculated from a function?

I obtained the daily closing price in the form of a zoo object from get.hist.quote where the dates are retained. The log returns is calculated and trimmed to remove NA values. stockEBAY$Data retrains the dates as the x value for later plotting using…
437gf083
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Newton Raphson method PHP

Trying to calculate implied volatility for an option using PHP. The BlackScholes function calculates the price of an option, $OptionValue is the price of the option and $guess is an estimation. I've based my attempt on similar applications but my…
Mark
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AttributeError: 'bool' object has no attribute 'ndim'

from quantopian.pipeline import Pipeline from quantopian.algorithm import attach_pipeline, pipeline_output from quantopian.pipeline.data.builtin import USEquityPricing from quantopian.pipeline.factors import SimpleMovingAverage from…
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Calculating the stock price volatility from a 3-columns csv

I am looking for a way to make the following code work: import pandas path = 'data_prices.csv' data = pandas.read_csv(path, sep=';') data = data.sort_values(by=['TICKER', 'DATE'], ascending=[True, False]) data.columns I have a 2 dimensional array…
Spurious
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outlier detection in garch(1,1) by dornik & ooms (2002)

I try to find additive and innovative outliers in the German Stock Index (dax) using the method Doornik & Ooms explained in 2002: Step 1 Estimate the baseline GARCH model to obtain log-likelihood (lb)and residuals Step 2 Find the largest (in…
Mo Bro
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Unexpected Closing Bracket in R?

eCHFao<- -0.141081 #eCHFa1<-0 eCHFb1<- 0.985833 eCHFg1<- 0.199665 meanCHF<- mean(XtCHF) eVarCHF<- (array,3421) eVarCHF[1]<- var(XtCHF) abco<- c(meanCHF, XtCHF1) for (i in 2:3421) {eVarCHF[i]<- exp(eCHFao + (eCHFb1*log(sqrt(eVarCHF[i-1]))} this code…
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(Python3) Conditional Mean in Garch Model

I am using "arch" package of python . I am fitting a GARCH(1,1) model with mean model ARX. After the fitting, we can call the conditional volatility directly. However, I don't know how to call the modeled conditional mean values Any help?
POKIN CHAN
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Open PDF found with volatility

my task is to analyze a memory dump. I've found the location of a PDF-File and I want to analyze it with virustotal. But I can't figure out how to "download" it from the memory dump. I've already tried it with this command: python vol.py -f img.vmem…
pichlbaer
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How do i get a RAM Dump from an LG G3 Smartphone?

i have to check an LG G3 for malware with Volatility. So i need a ram dump. Has anyone an idea how to get this? Thanks for your answers. Regards, Felix!
Felix
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multiplicative component GARCH

So I'm trying to replicate this post for Colombia stock http://unstarched.net/2013/03/20/high-frequency-garch-the-multiplicative-component-garch-mcsgarch-model/, so first I do the same that the post do to understand what it does and how do it work.…
Alejandro Andrade
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Python scipy.optimize.minimize gives ZeroDivisionError

I am trying to implement SABR (Stochastic alpha, beta, rho) in Python to calculate implied volatility. This link here explains SABR very accurately and concisely starting on slide 17: http://lesniewski.us/papers/presentations/MIT_March2014.pdf The…
Erniu
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