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20
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3answers
2k views

Tools in R for estimating time-varying copulas?

Are there libraries in R for estimating time-varying joint distributions via copulas? Hedibert Lopes has an excellent paper on the topic here. I know there is an existing packaged called copula but ...
1
vote
1answer
282 views

Is there a good backtesting package in R?

My model exports a vector that have for each day b-buy s-sell or h- hold it's look like this: sig [1] b b s s b b b s s b s b s s b s b s s s s b b s s b b b b b b s b b b b b b b I want to ...
2
votes
2answers
171 views

What are the advantages of financial modelling in R? [closed]

Recently I've found out that quantitative department in my company uses mostly R software for modeling in general. What is the advantage of modeling financial data in R instead of Excel, or some ...
2
votes
0answers
42 views

Rollapply: what does by.column do? [closed]

I have read the description of by.column for rollapply in the manual but i couldn't understand how to use it. see below: x=matrix(1:60,nrow=10) ...
1
vote
0answers
41 views

RQuantLib FixedRateBondPriceByYield() Non-tradable error

How do I use FixedRateBondPriceByYield() function on maturity date that is earlier than today? I get "non tradable error" when applying on date older than today. ...
0
votes
0answers
29 views

Luis Torgo - Case Study, Function creates high leverage

I am doing Luis Torgo Case study - Predicting Stock Market Returns and I have a problem when I use the function trading.simulator in the package DMwR ...
0
votes
1answer
72 views

Binary Option valuation problem in R using RQuantLib; also result validation aspect

When I am trying to value Binary Option using RQuantLib I am not getting all the greeks for exctype "american" wheras "european" exctype is fine. What is the problem here ? ...
2
votes
2answers
112 views

What do you do with low r-squared when calculating high-frequency beta

I am calculating a high-frequency beta. For example I have 90 days of data of the S&P and GOOGLE and I have 10-minute percent returns for each instrument. Each day has 34 10-minute percent returns ...
1
vote
0answers
161 views

Automated Import of 10-Q and 10-K Statements in XBRL Format from SEC.gov

I want to read financial statements in XBRL Format from the SEC site automatically. For instance the 10-Q File from Apple: ...
1
vote
1answer
155 views

Original Fundamental Accounting Data (Not Ratios)

Where do I get original fundamental accounting data from income statement, balance sheet and cash flow statement, like Sales/Revenue, Gross Income, EBIT, Operating Income, Cash & Short Term ...
2
votes
1answer
169 views

Forecasting using GARCH in R

I am using the predict and ugarchforecast functions in R. When I fit my models and try to forecast, I get either only increasing or decreasing values for sigma, does anyone know why? Thank you ...
7
votes
1answer
17k views

How to interpret results of Johansen Test?

I have two time-series a & b. The objective is to find out whether two series are cointegrated or not. I am using Johansen Test in R to find this out. I am using urca package of R. Here is the ...
2
votes
0answers
101 views

R quantstrat backtest with dollar based position sizing

I am attempting to tweak a quantstrat based backtest but have run into an issue. The maxPos limits are share based, and I would rather use a fixed dollar amount instead. So I've tried generating a ...
5
votes
2answers
740 views

Change periodicity on Rblpapi

So Dirk Eddelbuettel, Whit Armstrong, and John Laing released Rblpapi to CRAN recently, and it is awesome. I'm having some difficulty understanding how the overrides work though, hopefully someone can ...
1
vote
0answers
50 views

ROC — Output from Calculating Stock Returns Producing Lower Numbers Than Actual

I tried this on stack exchange, but think it is a better question here. I am beginning user and I need help with an error / bad output I am getting when calculating returns (using ROC) on stock ...
6
votes
1answer
382 views

Calculate turnover for portfolio

I am trying to calculate the turnover for a portfolio strategy. First I generate some random data and assign it dates: ...
1
vote
1answer
166 views

What is the logic behind this backtesting code in R

I am new to R and I have found this simple backtesting code and can you explain me what is happening here. ...
2
votes
0answers
81 views

Ledoit-Wolf portfolio weights calculation

I am trying to implement the Ledoit-Wolf minimum variance portfolio strategy on a real-world stock dataset. ...
4
votes
1answer
90 views

Tools/R-code to create gain/loss-asymmetry plots

The gain/loss asymmetry is a well known stylized fact: It basically states that real financial time series take longer for going up than going down. To detect it a heavy statistical machinery is ...
4
votes
1answer
221 views

Rebalancing portfolio weights

I have a matrix of returns and weights for every time period. ...
2
votes
1answer
103 views

FORECASTING Model AR(1) in an Autoregressive Form The Pi´s Parameters

Ive been implementing a little exercise to obtain the first 2 forecasting points of an AR(1) process. And i want to have the forecasting ponts using the three forms: Im folowing this pdf ...
7
votes
1answer
1k views

Tools/R code for predicting Dragon-Kings

The theory of the so called Dragon-Kings, esp. by Didier Sornette (ETH Zürich), basically states that financial crises and crashes are predictable (contrary to the theory of black swans). The ...
1
vote
1answer
2k views

Integrating R with Bloomberg

In the past, I have used the package RBloomberg to directly pull bloomberg data into R. I've also seen it go by the names Rbbg or R[Name Redacted]. It seems to me, however, that this package no longer ...
4
votes
1answer
150 views

Are all stocks and stock indexes just white noise

In the paper Super-Whiteness of Returns Spectra from Erhard Reschenhofer of University of Vienna it is commented the following "Until the late 70’s the spectral densities of stock returns and stock ...
4
votes
1answer
110 views

Fit linear model to higher moments of CAPM

How can one fit a linear model to the higher moments of CAPM in R? Fitting a linear model to the second moment (classical CAPM) would be ...
5
votes
1answer
149 views

Simulate (imaginary) asset prices using random numbers that follow a Frank Copula

I didn't understand how to simulate asset prices by using non normal random numbers. I am assuming that it would be incorrect to use the standard Geometric Brownian Motion, since it is based solely ...
1
vote
0answers
67 views

Issues with +100 symbols in Quantstrat, Erratic Trades

I've tested my code against individual symbols and very small groups of symbols. I'm finding the more symbols I add the fewer trades I get. For instance, if I just include the first five symbols, all ...
2
votes
0answers
171 views

Forecast of ARMA-GARCH model in R

I managed to forecast a GARCH model yesterday and run a Monte Carlo simulation on R. Nevertheless, I can't do the same with an ARMA-GARCH. I tested 4 different method but without achieving an ...
1
vote
2answers
289 views

How to get list of all symbols in fred database?

I am trying to query every single series in the fred database using r. I have checked out both the quantmod and fImport packages, and they work fine, though it seems that quantmod fits my use a bit ...
2
votes
1answer
1k views

how do I loop through all the stocks with quantmod and ttr?

I just started with quantmod package. If I want to select stocks based on their recent performance, then I need to loop through all the stocks in, say, NYSE. So I need: get all the stock symbols ...
5
votes
1answer
444 views

Definition of risk factors for market risk scenario testing

I am doing a research for stress testing in market risk. The usual process I found out for scenario testing is: Define risk factors upon the portfolio Define the desired scenarios Vary the risk ...
0
votes
1answer
118 views

Constant decreasing volatility, GARCH forecasting

I am trying to forecast the volatility using GARCH modelling in R. I fit an ARMA(1,1)-GARCH(1,1) model, but my sigma predictions are constantly decreasing. Anybody know why? ...
1
vote
2answers
358 views

Fractals indicator (Bill Williams) R Quantstrat

Hi has anyone seen or know how to create an indicator for fractals in quantstrat? fractals explained http://forex-indicators.net/bill-williams/fractals example code (only interested in type 1 ...
2
votes
0answers
105 views

Can you tell me what this RBloomberg formula means?

I've been asked to re-create a spreadsheet that used RBloomberg using a different data source. But I'm having trouble figuring out exactly what one of the spreadsheet's formulas does. Can anyone tell ...
5
votes
2answers
608 views

good R package for vectorized option pricing

I am using for now the package fOptions but it doesn't allow for vectorized computation of black76 prices and delta. Which package can be used to do that? As noted ...
3
votes
1answer
108 views

Accuracy of GARCH& ARCH forecast

I'm learing ARCH&GARCH model. I have four questions that I don't know the answers 1st: ARCH & GARCH are often used to evaluate equities. Does it mean that ARCH and GARCH are fitter for high ...
16
votes
2answers
8k views

How to derive the implied probability distribution from B-S volatilities?

The general problem I have is visualization of the implied distribution of returns of a currency pair. I usually use QQplots for historical returns, so for example versus the normal distribution: ...
3
votes
1answer
72 views

VaR calculation accuracy/comparison/effectiveness through different R packages

My question is what would be the better( in terms of estimation accuracy) method of VaR calculation among below two:, also any small code snippet will be great as a starting point for me. 1st method: ...
2
votes
1answer
187 views

out-of-sample variance using rolling window

I am currently working on the comparison of the constructed portfolios using out-of-sample variance criteria. I am going to use rolling window procedure for the comparison. First, I choose a window ...
12
votes
4answers
6k views

R: Fast and efficient way of running a multivariate regression across a (really) large panel (First pass of Fama MacBeth)

I am attempting to run a rolling multivariate regression (14 explanatory variables) across a panel of 5000 stocks: For each of the 5000 stocks, I run 284 regressions (by rolling over my sample ...
1
vote
1answer
43 views

Residuals in the Ljung box test

does anybody know what type of residuals is used in the Ljung box test in R? raw or standardized? Because basically when I fit a GARCH model using garchFit, the summary() function gives me all the ...
2
votes
0answers
269 views

GARCH modelling and forecasting

I have a few questions regarding GARCH modelling and forecasting and it would be great if someone could help me. I am modelling the log return of oil spot prices using various GARCH models: GARCH, ...
5
votes
2answers
342 views

R package for portfolio

In the context of modern portfolio theory, one often wishes to minimise $\mathbf{w}^{\mathrm{{\scriptstyle T}}}\boldsymbol{\Sigma}\mathbf{w}$ subject to $\mathbf{w}^{T}\boldsymbol{\mu}=c_{1}$, ...
4
votes
1answer
137 views

Fitting transition matrices in R by solving for coefficient

I'm using various matrices to impute a fitted transition matrix for credit ratings by solving for a variable [S]. Essentially the idea is to determine a base matrix and stress matrix to compare to a ...
6
votes
0answers
154 views

Computing Value at Risk for portfolio in R

I know how to compute VaR with long positions using PerformanceAnalytics. What about a portfolio consisting in two equities A and B, 100 USD long positions in each, and 2 stock options for the same ...
1
vote
0answers
36 views

comparison of speech signal processing and financial data

I have read that in speech signal processing analysis when voice is segmented in brief temporary segments the series segments transitions from being non stationary to stationary. My question is if ...
2
votes
2answers
214 views

Kalman filtering

Is it possible to the extract the latent factor f from the following equations using kalman smoothing? f is the unobserved state value while z is observed series. From the literature i could read ...
3
votes
1answer
237 views

rollapply with Arima model: testing for stability of coefficients

I am trying to fit an arima model on a rolling window using rollapply.My aim is to plot a graph of the evolution of the coefficient, plot the error and the standard deviation. well i encountered the ...
5
votes
1answer
557 views

Kelly Capital Growth Investment Strategy (Example in R)

In the paper Response to Paul A Samuelson letters and papers onthe Kelly Capital Growth Investment Strategy pages 5 and 6 Dr William T Ziemba, gives a praticle example on Kelly Growth. I’m trying to ...
3
votes
2answers
352 views

Is there a way to adjust R PerformanceAnalytics function VaR with EWMA or GARCH method?

Is there a way to upgrade R PerformanceAnalytics function VaR with more risk sensitive approaches like EWMA or GARCH? Or is there another R package which can handle the issue?