similar to: The Hurst Exponent in fBasic

Displaying 20 results from an estimated 4000 matches similar to: "The Hurst Exponent in fBasic"

2012 May 06
0
Steps to determine Hurst exponent
Hello, I'm using the fArma package to estimate Hurst exponent by R/S method. I've some measurements in the following format: Call_number Call_duration I'm using the following steps. Am new to R, so it would help if someone could please confirm if my steps are correct. Further, this method seems to give a value H ~= 0.8 (> 0.5). Is the use of R/S method to estimate H OK? >
2012 May 07
1
Value of Hurst exponent (R/S) method > 1
Hello, I'm using fArma package to estimate the value of Hurst exponent using R/S method. However, for a certain set of data I get H ~ 1.8. How do I interpret this? Following are the output that I get for this set: > mean(data[,2]) [1] 400.5433 > sd(data[,2]) [1] 1139.786 > > rsFit(data[,2], levels = 64) Title: Hurst Exponent from R/S Method Call: rsFit(x = data[, 2], levels
2010 Jul 19
1
Hurst Exponent Estimation
Dear All, I am a novice when it comes to time-series analysis and at the moment I am actually interested in calculating the Hurst exponent of a time series. This question has already been asked quite some time ago http://bit.ly/98dZsi and I trust some progress has been made ever since. I was able to find some functions in the packages http://cran.r-project.org/web/packages/Rwave/index.html
2008 Aug 04
0
an interesting finding on Hurst exponent estimation from fSeries
Dear R Users, I am using code from the following links to do Hurst exponent estimation. link: http://r-forge.r-project.org/plugins/scmsvn/viewcvs.php?rev=1&root=rmetrics&view=rev file: LongRangeDependence.R Take a look at the following run: > x<-(cos((1:200)/10)) > rsFit(diff(x,15))@hurst$H [1] 1.027420 > aggvarFit(diff(x,15))@hurst$H [1] 0.02301331 First of all, can anyone
2003 Dec 04
1
R code for estimating Hurst exponent
Has anyone writen R code for estimating Hurst exponent with R/S method or other methods? or any other source of R code available? Many thanks Catherine Wang
2012 Apr 25
1
Help on time series & Hurst exponent
Hello, I'm an absolute beginner with R. I'm hoping to do some time-series analysis on my data. The data looks like #time value 18 153 20 426 70 7 83 130 84 7 and so on where time could be in seconds or hours or days (not all at the same time). How could I import such a file to R and do some simple stuff (say plot the values)? As per the tutorials on time series, I could use the ts()
2008 Aug 04
2
Long Range Dependence: Hurst exponent estimation
Dear R Users, Can anyone point me to a package for R vrsion 2.7.1 which implements some Hurst exponent estimation methods ? Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are
2012 May 31
2
time-series statistics collection
Hello, I am trying to collect several global measures or statistics for time-series as well as packages of R that can compute them. I have found several of them in papers and books, but the literature is so big i am sure i am missing several of them. skewness kurtosis min max mean SD trend seasonality periodicity chaos (Lyapunov Exponent) / Largest Lyapunov Exponent (i think is the same
2006 Sep 16
1
regarding chaos
hi all, I have a simple question that does power spectral analysis related to capacity dimension, information dimension, lyapunov exponent, hurst exponent. If yes then please show me the way. I am newbie in the world of chaos. Sayonara With Smile & With Warm Regards :-) G a u r a v Y a d a v Senior Executive Officer, Economic Research & Surveillance Department, Clearing
2008 Mar 12
1
Help in estimating HURST parameter
Hi, Can u please tell me which all packages do i need to install to estimate the hurst parameter in R. I have tried installing all the possible options but still it doesnt work. basically i want to use 9 functions to estimate hurst parameter like aggvarfit, rsfit, etc. i will be very thankful if u could be of some help. -- Regards, Deepak Jadhav. [[alternative HTML version
2005 Dec 13
0
Fwd: Re: Wavelet reconstruction
I realized that I may not have answered the question you were asking and that no one else has responded. I can across a similar problem and may have an answer to your question now. If you have both the wavelet coefficients and the scaling coefficients then create a fake sequence of the same length as the original and decompose that sequence using wd form wavethersh with the same wavelet family
2000 Jul 03
0
modified R/S
Hello I m a student in PARIS X university (France).I m preparing a working paper dealing with the presence of long memory in finantial markets. I have programs computing the hurst exponent by the rescaled range method and the GPH method (Geweke Porter-Hudak). I want to apply the modified rescaled range method proposed by A.Lo (1991). AS i m beggining with RATS i couldn't do the progam . can
2006 Jan 08
2
Filters in waveslim
Dear R Users, For running wavelet functions using dwt( ), modwt( ), and mra( ), a wavelet filter algorithm is applied. For all these functions, default is "la8" and other possibility is "haar". In related documents, another possibilities like as symlet and coiflet ... are not cited. Besides "la8" and "haar", which wavelet filters can be used? Thank
2006 Nov 20
3
Creating a new vector ( another problem)
Dear R Users, Suppose we are interested for generating a new vector ( x ) from a current vector (y) of length 1000 so that x includes the sum of every 5 values in y respectively from the first to the end of length y. The same length of y for x is desired, so that other 4 positions (indices) in x are filled out with NA. For generating such a new vector, I have no idea. I tried in some
2006 Mar 10
2
creating new vector
Hi R Users, I don't know how much is difficult my problem and even it is possible to solve in R or not. Given a vector with 2000 observations. I want to creat a new vector from that vector so that new vector be the sum of every 5 observations sequently. That is , each new observation is sum of every 5 sequent observations, from the first observation of previous vector to the end. So
2008 Jul 04
2
Interface between fractal geometry and statistics
Are there any packages that help with statistical analysis in situations where fractal geometry is relevant? Perhaps something that supports computation of fractal related statistics, such as the Hurst exponent or fractal dimension? Or perhaps which support obvious tasks such as taking samples from a dataset at different levels of granularity (such as sampling spatial data at cm, m, km
2001 Mar 01
0
FW: rsa_public_encrypt() exponent too small or not odd
I have the following bug report to submit. OpenSSH 2.5.1p1 and 2.5.1p2 HP-UX 11.00 Dart 51 64bit (32bit compile) OpenSSL 0.9.6 Zlib 1.1.3 Cflags: -Ae I keep getting "rsa_public_encrypt() exponent too small or not odd" with the SSH 1 or 1.5 protocols. I can't get OpenSSH to communicate with itself with any protocal other than SSH 2. I have searched everywhere. Google, OpenBSD,
2006 Nov 20
3
Creating a new vector
Dear R Users, Suppose we want to creat a new vector ( x ) from a current vector (y) of length 1000. The current vector y includes negative, zero and positive values. We want our new vector x includes the negative values in y, otherwise NA with the same length as y. For this, we have x=y[y<0] . Now x includes a subset of y with shorter length than y. With x=match(y,x) we would
2005 Jun 01
2
How to name variables in a single plot
Dear R Friends , I want to name my variables( more than 2 variables in a single plot) within a plot to distinct them from each other, but I cann't. How it is possible? I don't mean x and y axis using xlab or ylab. At the below , it follows some lines, only as an example that you could try please, if it is possible. I really thanks for your attention. Amir library(graphics) y<-
2012 Jun 22
2
Boxplot with Log10 and base-exponent axis
Dear all, I would like to (i) produce boxplot graphs with axis in logarithm in base 10 and (ii) showing the values on the axis in 10^exponent format rather than 10E+exponent. To illustrate with an example, I have some widely spread data that I chart plot using boxplot() [figure on the left]; the log="y" option of boxplot() I obtained the natural logarithm conversion of the data and