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33 views

Evaluation of Bayesian GARCH

I am using the bayesGARCH package to estimate Bayesian GARCH models and I was wondering how to evaluate them in terms of precision of forecast or at least the quality of the model. I have encountered ...
5
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1answer
122 views

Bloomberg & R: Accessing multiple securities with getBars() in R

I am attempting to access 1 minute trade data for 50 securities using Bloomberg API (rblpapi). Following is the code I got from the CRAN: ...
2
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0answers
40 views

Using Market Prices of Bonds to Model the Discount Curve with a Polynomial (Math + R)

I have a small program I'm building to interpolate the discount curve from a portfolio of benchmark bonds. If anyone has any guesses as to whether it's my process, or my code that's messed up I would ...
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4answers
20k views

How to fit ARMA+GARCH Model In R?

I am currently working on ARMA+GARCH model using R. I am looking out for example which explain step by step explanation for fitting this model in R. I have time series which is stationary and I am ...
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0answers
180 views

Using the R package “ termstrc ”

I am attempting to use the function estim_nss from the termstrc package in R. However, I am experiencing the following error: ...
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1answer
145 views

Interpretation of Johansen cointegration test in R

I am using urca package of R for Johansen Cointegration test in 2 stocks datas( A and B. My question is very elementar, but have cause some problems for me. How I interpret the critical values, for ...
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1answer
45 views

How to create time series with lagged in R [closed]

Would anyone else advise me, how to create time series with lagged in R. I would the result is the difference with lagged, there is a function Delt() but the result is the percentage change. Please ...
2
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0answers
66 views

Johansen cointegration test interpretation in R

I want to test my time series for cointegration using the Johansen test in R. I got the following result and so I know now that at least 5 out of 9 of my time series are cointegrated. My question is, ...
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0answers
15 views

How to set the mean matrix in fPortfolio package in R

I'm doing a mean-variance analysis of 5 ETF's and insted of using the sample mean i used a time series model to forecast it. I want to do a backtest of a tangency portfolio getting the weights with ...
2
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1answer
91 views

How to construct a cointegrating vector using more than 2 price series in R?

I use now this code from hier Why does the following data fail my cointegration test? with slightly modification of possibility to load something directly from Dropbox file storage . ...
8
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0answers
183 views

Imposing Restrictions on Cointegrating Vectors, R example

The code given below estimates a VEC model with 4 cointegrating vectors. It is a reproducible code, so just copy and paste into your R console (or script editor). ...
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0answers
34 views

Cross-sectional Regression: Using calculated coefficient of first regression for a second regression as dependent variable

Hello stackexchange community! I am new to R and econometrics and and stuck in a step of the fama-macbeth (1973) regression, in which risk premia of stocks are estimated with a two-step regression ...
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51 views

Spread Return and Mean Reversion Model

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2399915 The above paper proposes an interesting method for modeling credit spreads. I have tried to implement it in R but keep obtaining unrealistic ...
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1answer
155 views

How to implement momentum strategy using R

I am trying to see if momentum strategy has a profitability in a bond market. I have a bond dataset which is a panel data and it is monthly. It looks something like the table below. For each month ...
2
votes
1answer
106 views

GJR-GARCH with $\alpha = 0$ as parameter estimate

I am estimating a GJR-GARCH(1,1) model with variance targeting in R. As data I am using returns on some stock indices. While calculating the GARCH models I obtain $\alpha=0$ for some indices. From ...
3
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0answers
47 views

Interpreting different factor models w.r.t. correlation matrix and min variance portfolio weights

Background In Eric Zivot's analysis of factor models he uses three models The sample (.sample) Single index model (.si) Barra factor industry model (.ind) PCA model (.pca) You can download his ...
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0answers
31 views

Calculating returns when number of securities in a timeseries varies over time?

I have a timeseries of security returns in which the number of securities in the timeseries varies over time. More specifically, I have a universe of events where securities(their returns) are added ...
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0answers
49 views

How to estimate Simple Returns and Monthly Returns from daily stock price observations with Missing data in R

I have a data frame which has over 4000 columns and 3000 rows. Columns are companies and rows have daily stock closing price. The data is such that it has missing values but due to nature of the data ...
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0answers
41 views

Is there any function in quantmod to get Earning Date from Yahoo or Google

I want to get the a stock's next earning date from quantmod. I tried my best to go through the quantmod documentation to find such function. Pleae help me. Thanks
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0answers
60 views

Where and how can I get FX intraday data for use it in R?

I need FX data (the most accurate possible) for use in R. Right now I have developed a script in Java to download the CSV file (from Oanda) and use this file to read it in R, but I think that is a ...
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1answer
39 views

Disappear Standard Error in OxEdit/G@rch6 package

Hellow everyone, I'm new here. Please instruct me to do something. My problem is when I run FIGARCH(0,d,1), OxEdit still show me a matrix with variable names, coefficient, s.e, t-stat... like this ...
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1answer
71 views

Error when trying to estimate a Markov-switching Var model in R

I'm trying to estimate a Markov-switching VAR in R using the command msvar. These are the first 10 entries of my two time series. I have 798. When I try to run this I get an Error message ...
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1answer
97 views

how to calculate RMSE, MAE, given ugarchforecast results?

Given S&P500 returns for the past 20 years I fitted an ARMA(1,1)-GARCH(1,1) model using the rugarch package, so using ugarchspec() and the ugarchfit(), with different innovations distributions, i....
3
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1answer
339 views

Error term/Innovation process in ARCH/GARCH processes?

I am wondering about the distribution of the error term/innovation process in a ARCH/GARCH process and its implementation, I am not sure about some points. The basic assumption is $r_t=\sigma_t*\...
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2answers
151 views

ruGarch - Interpret test results

I'm working on a R project, trying to calibrate a GARCH (so far, (1,1) ) model to the yields of the STOXX50 index over the last 2 years. I've tried the garch function of the tseries package, but it ...
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0answers
67 views

How to calculate cumulative returns with one lag in R

I have a huge data frame with over 1000 column, which are companies(column headers) and in each column I have their estimated return(monthly). The sample period of the data frame in 11 years. I want ...
0
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0answers
59 views

VECM model with GARCH (1,1) error in R

I should create a VECM model with 8 lags and with Garch (1,1) error in R but i don't know how to do it and which package to use. The VECM should also have covariates in it. Then I should perform a ...
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1answer
70 views

CCC-Garch predict

So I'm trying to measure the VaR of 2 stock with a multivariate GARCH model, so im using the CCC model. I need to predict the standard-diviation and the mean but the ...
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0answers
30 views

Generating random numbers from the skew-t distribution

in another question I was trying to replicate density plots using random numbers coming from the skew-t distribution of Hansen (1994). Now I need to obtain a series of random numbers coming from this ...
3
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1answer
97 views

Density plot of the skew-t distribution

I am using the sgt package in R to recreate the plot from Hansen's paper ( available here http://www.ssc.wisc.edu/~bhansen/papers/ier_94.pdf on page 8) using random ...
2
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0answers
118 views

How to fit a VAR + GARCH in R

I should create a VAR model with Garch error in R but i don't know how to do it and which package to use. The Vector Autoregressive model (or VECM) should also have covariates in it. Then I should ...
11
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4answers
807 views

Thesis using Momentum strategies in R, tips on good books, guidelines etc on how to do the programming?

I am quite new to R and will be doing an empirical analysis of momentum strategies in R using a dataset from the index OSEAX from 1980 to 2014. The momentum strategy will for the most part resemble ...
11
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3answers
454 views

Is there a website that lists replication code of financial papers?

There are lot of questions on this website related to the replication of the empirical part of financial papers. I noticed that some (honest) authors provide on their personal website some ...
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2answers
106 views

Stochastic process theory question

*S follows a process $dS= mSdt + oSdz$ where m and o are constant. What is the probability followed by $ Y=(Se)^{(r-t)} $. If S follows a process $ dS= k (b-S) dt + oSdz $ where k, b, o are ...
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0answers
60 views

Rblpapi millisecond resolution

I'm using Rblapi to get tick data, using the nice getTicks function. Much to my dismay the index is rounded to the second, while milliseconds time stamp could be provided. Tried returnsAs xts, fts(?) ...
2
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0answers
80 views

Liquidity Adjusted Asset Pricing Model

I have a data set with 4000 companies and I have calculated a liquidity measure of each of the company in the dataset as Where, Turnover is the monthly average ratio of daily volume to shares ...
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1answer
334 views

Portfolio Management in R

I’ve been looking around for a R-package that will allow me to track my stock portfolio - basically I would like to enter stocks that I own, track the trades I make, calculate my open position & ...
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1answer
123 views

Log daily returns of multiple securities for multiple time period in R

I have dataset containing daily closing prices of 5413 companies from 2000 to 2014. I want to calculate daily log returns for the stocks as according to dates as log(Price today/Price yesterday). I ...
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0answers
55 views

Need to know What is not available in RQuantlib

If we explore CRAN RQuantlib package it says The 'RQuantLib' package makes parts of 'QuantLib' accessible from R. When I tried the package I have found vanilla/some exotic options, fixed income ...
4
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1answer
101 views

Calculate mean variance portfolio

I am trying to calculate the mean variance portfolio using the plug-in approach. First I generate some artificial data: x <- replicate(10,rnorm(1000)) Then I ...
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0answers
90 views

Generating financial data

I am trying to generate monthly stock data using a one-factor model: $$R_{a,t} = \alpha + BR_{b,t}+\epsilon_{t}$$ The description says: $R_{a,t}$ is the excess asset returns vector, $\alpha$ is the ...
35
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7answers
7k views

Is R being replaced by Python at quant desks?

I know the title sounds a little extreme but I wonder whether R is phased out by a lot of quant desks at sell side banks as well as hedge funds in favor of Python. I get the impression that with ...
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0answers
44 views

How to form Decile Portfolios based on Liquidity measure with missing data in R

I have a dataframe with over 4000 companies data (as column) and have calculted their daily Quoted spread measure ( measures liquidity for each stock) for 15 years. And then from the daily have ...
2
votes
2answers
214 views

Augmented Dickey-Fuller Test/ Unit Root test on multiple time series dataframe in R

I have a dataset/dataframe in which I have calculated the daily log returns of five thousand companies and these companies are as column as well. I want carry out ADF test on this dataframe. I have ...
6
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1answer
6k views

GARCH model and prediction

I have a question about the prediction of volatility and returns of a time series. Basically it is a question about prediction in the ...
0
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0answers
92 views

Forecasting conditional variance using fGARCH

I am forecasting the conditional standard deviation using ARMA(1,0)-GJRGARCH(1,1) in R using the fGarch package. Here is a sample code: ...
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0answers
32 views

In what situations would cross validations scores be inaccurate?

I'm trying to fit a SVM model on times series stock return data, predicting a buy, hold, or sell signal of the stock. I'm using 10-fold cross validation (using the R package ...
2
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2answers
63 views

Problem with obtaining densities

For my research I need to obtain a series of densities, however, I am encountering some problems. The first problem is perhaps very simple, but the answer eludes me. Let's say I have an observation ...
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0answers
154 views

Skewed Generalized Error Distribution's (SGED) pdf

I want to use the SGED distribution of Theodossiou for GARCH estimation, however, I am struggling to understand which is the correct pdf function of the distribution. Let me just say that the ...
2
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3answers
845 views

Daily option data

I am wondering where I can pull daily (hourly, by-the-minute, etc. even better) option data for a particular underlying. I would prefer a database I could scrape through and API, but would not mind ...