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Questions tagged [time-series]

A temporal sequence of events measured at discrete points in time.

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0answers
96 views

What is a good algorithm to predict volatility in metals commodity markets? [closed]

I'm trying to create a script to predict major swings in the price of Aluminium. I am trying to implement a dynamic time warping algorithm for the same. Was wondering if this really is the best ...
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1answer
567 views

Online algorithm for calculating EWMA at irregular intervals?

What is a fast online algorithm for calculating the EWMA (exponentially weighted moving average) of an input variable observed at irregular intervals? I know the formula for when sampling at regular ...
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2answers
733 views

Choosing the right statistical test for Mutual Fund Performance Evaluation

How do you suggest I do this? I would like to perform a statistical test to check if: the aggregate alpha of all funds equals 0. the aggregate beta of all funds equals 1. Data Sample of 1000 ...
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1answer
58 views

which method is the roubust method to estimate the Hurst parameter?

I know there exist lots of method to estimate the Hurst parameter, such as R/S, V/S, GHE, DFA, DMA, Wavelet Spectral Density, Whittle and so on. Can you tell me which one is the best one. Is anyone ...
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1answer
47 views

Is my data fittet to be significant?

I am new to this forum and hope for some help. I have a dataset of returns. I cannot tell where these come from, but let's assume they come from a trading algorithm of stock prices. The returns are ...
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1answer
361 views

principal component analysis on non stationary data

I read that since stock prices are non-stationary it does not make sense to take their covariance. So I took the log returns of stocks, computed covariance matrix, took the top few eigen vectors that ...
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1answer
71 views

VaR estimation when returns are not independent, e.g. ARCH

Time series of returns, $r_t$, in finance are often modeled with some type of conditional heteroskedasticity model, e.g. ARCH(1): $$r_t = \sigma_t z_t$$ $$\sigma_t^2 = a_0 +a_1 r_{t-1}^2$$ where, ...
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1answer
357 views

How to know if a time series is trending or mean reverting?

I came across Michael Halls-Moore article on using the Hurst exponent test to determine if a price time-series is mean-reverting, trend-following or closer to a random walk, but doesn't this disregard ...
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1answer
97 views

How to find coefficient that will minimize the distance between few times series

I have 3 time series X1, X2, X3. I want to find the coefficient (c1, c2) that will minimize the distance between them as follow: $$MIN\sum\sqrt{(X1-(c1*X2+c2*X3))^2}$$ The constrains are: $$-1< ...
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0answers
107 views

Testing whether a process is a Wiener process [closed]

Ideally I would like links to code implementations (eg. Matlab ) or book/paper references, but I would appreciate suggestions on various methods. Update: I was hoping to attract people who test the ...
1
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1answer
87 views

Information criteria via different GARCH models

I have a question about comparison of different GARCH models via information criteria. I use rugarch package. So, let's have 3 model types: "sGARCH", "eGARCH", "gjrGARCH". I fit all 3 type models for ...
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1answer
177 views

Looking at distribution of yearly returns of time series

For S&P, or any time series for that matter. When doing analysis on the distribution of the yearly returns, should I be looking at 1) the daily year over year values, 2) pick some starting point ...
7
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1answer
476 views

How can I compare 30 day implied volatility forecasts with GARCH forecasts?

I'm trying to understand whether there is a good way to compare forecasts for volatility from different sources i.e., implied volatility and GARCH. I'll outline a few statements that I believe and if ...
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3answers
139 views

Time Series analysis — Overnight gap

I am doing some time series analysis on some 5 minute bar stock data. If I want to specifically focus on data during trading hours and ignore any pre and post market activity, how would I effectively ...
1
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1answer
231 views

Granger causality with stocks and CDS

I would like to take a closer look at stock prices and CDS spreads of different entities. Because both of them are nonstationary in levels, I use log stock returns and the first difference of the CDS. ...
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0answers
30 views

Binary probit model: relevant which outcome is 1?

I'm currently working on predicting bear and bull phases with a dynamic probit model in the form of $y_t=\beta_1X_t+\gamma_1y_{t-1}+\epsilon_t$. So far I've written all my code in matlab and it works ...
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0answers
91 views

VAR models when examining relationships between financial markets

When researchers examine lead-lag relationships between credit default swaps and (as an example) stock markets, many use Vector Autoregressive Models (VAR). They want to find out what market "is ...
4
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1answer
89 views

Investigating a question: “Does commodity price volatility scale with price level?”

I'm trying to answer a simply posed question using a GARCH model: can we expect larger price shocks in a commodity when it's price is higher? (i.e., may we expect larger price shocks at \$100 per ...
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0answers
96 views

Wavelet transform (the à trous time-based decomposition) in R

I urgently need to know how to apply the 'à trous' time-based decomposition in R [also known as Stationary Wavelet Transform] on a time series as a preprocessing, to use the result in forecasting and ...
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1answer
154 views

time series for futures roll

I'm trying to build a multi year time series for a 3 month futures contract. How do I handle rolls? On the day of roll, volatility is high and I want to roll over to next contract series in a way that ...
0
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1answer
74 views

Two time series similarity with slightly offset timestamps [closed]

Let's say I have two time-series S1 and S2 where S1 looks like this: ...
3
votes
1answer
106 views

Detecting stochastic volatility

I have a time series extracted from a financial time series (so my series of prices is described by an arithmetic model $X(t)+Y(t)+Z(t)$, my series is $Z(t)$). I'm trying to model $Z(t)$ by a Levy ...
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1answer
388 views

Calculation of dividend yield from index returns

For a research project, I need to find or calculate dividend yield for all the index of major countries in the world (e.g: s&p500,DAX,CAC40 and so on), and I am struggling a bit with it. I cannot ...
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4answers
157 views

Data Issue: Observations in Portfolio Construction

Question With 60 data observations, how do I construct a time series analysis properly? How to do Certain Calculations such as covariances on data with Gaps and Inconsistencies? Background of ...
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0answers
48 views

Dealing with misaligned dates for trend-following strategy?

This is a bit of a naive question, but I figured it couldn't hurt to ask. I have time series data that looks like: ...
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1answer
439 views

How to use exponential smoothing for trading?

I was wondering if there's a rule of thumb regarding the value of alpha used when performing exponential smoothing. I plan to use this technique to preprocess my data before feeding them into my ...
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1answer
323 views

z-score versus log standardisation of stock prices for calculating correlation; which to use (in ML clustering, distance measure)?

I need to compare (get correlation between) different financial instruments (stocks). The problem is that different stocks will have different price scales. I was thinking of using z-score ...
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0answers
104 views

Questions on the concept of GARCH model [closed]

As we all know, the GARCH model is stated as $\epsilon_t = \sigma_tz_t$ $\sigma_t^2 = w + \sum^q_{i=1}\alpha_i\epsilon_{t-i}^2 + \sum^q_{i=1}\beta_i\sigma_{t-i}^2$ In application, the estimate $\hat{\...
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0answers
579 views

Quantmod - converting daily data to weekly data (changing time intervals from monday to monday)

I'm trying to convert daily data into weekly data, but with the time interval from monday to monday. First I download historical prices from Yahoo: Tickername<-getSymbols("Tickeername",from="...
5
votes
1answer
104 views

How to check if relationship between two variable changes over time?

I am working on a commodity-exchange rate model as part of my thesis. My dependent variable is log of first difference of exchange rate of Colombia and my independent variable is log of first ...
0
votes
1answer
170 views

Most GUI user friendly Time series Econometrics software for modelling and Forecasting GARCH models [closed]

I think the question is simple enough. I have been using Eviews, but it is unable to do recursive one step ahead forecasting directly and requires me to use coding, which I'm not very good at. I need ...
3
votes
1answer
486 views

Correct procedure for modelling GARCH for forecasting volatility of stock Index returns

I will be using Eviews and am looking to forecast volatility of stock index returns using ARCH/GARCH models. I've generated the logarithmic returns and done the unit root tests. I then proceeded to ...
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0answers
325 views

forecast using rugarch in r

After fit the GARCH model, I want to plot the volatility forecast sigma series. I use ugarchforecast as follow: ...
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2answers
377 views

What's the exact definition of alpha?

I am quite new to finance and I often hear people say 'I have 2 bps of alpha' or 'I have an alpha of two bps' I don't quite understand what does this mean For me alpha is about predicting power. At ...
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1answer
34 views

Data on morocco exchange reserves

i'm trying to do some tests on exchange market pressure of morocco Where can i find data on morocco exchange reserves thanks
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0answers
64 views

Combine future contracts into time series [duplicate]

I have future contracts from 10 years back that are combined in one file. There is a gap in the data every month due to rolling of the contracts. How do I remove this gap ad get a smooth time series ...
2
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0answers
36 views

Rotations and Shifts in the f-GARCH News Impact Curve

I re-post my question from the Cross Validated section as requested by another user. I am using the beautiful "rugarch" package and presently have an issue concerning the interpretation of two ...
4
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2answers
274 views

Fractional Brownian motion - probability density function of the increments

I'm starting investigating the properties of the fractionally integrated brownian motion, yet I'm not able to figure out what kind of distribution should an increment of a fBM process follow, ...
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0answers
235 views

Forecasting volatility with rugarch and Covariance Matrix

I am trying to do a financial time series forecast in order to build a portfolio. I already have some code running rugarch library and I am not sure if I am forecasting correctly, after that I would ...
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1answer
513 views

Where to find historical fundamental data of S&P constituents in Thomson Reuters database?

I need data such as Net Income, ROA, ROE, etc. for companies in S&P 500 Index. I would like to see the values also for other years, e.g., since 2010. However, when I log-in to Thomson Reuters ...
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0answers
66 views

Economic variables' influence on stock market volatility: cross section vs. time series

I want to test whether a number of economic variables such as stock market liquidity, earnings per share etc. influence the volatility of S&P500 returns. Should I use a time series regression to ...
1
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3answers
159 views

Hourly Returns Statistical test

I am trying to do an analysis on time zones effect on intraday returns. As a first step, I collected hourly log returns for the past 3 years and bucketed them by hour (so that I have 24 buckets ...
10
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2answers
251 views

Reference request: Quantitative approaches to market abuse detection

have been asked to look at some financial timeseries for potential suspicious activity. These are stocks (my background fixed income hybrids trading and not forensic analyst...) and most of the ...
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1answer
174 views

Use of ACD to model transaction durations

I am using a simple ACD (autoregressive conditional duration) model with expoential or Burr distributed residuals and 1 lag, i.e. ACD(1,1). I am modelling durations for transactions data on a 'medium'...
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1answer
101 views

How to find relationships between financial data?

Suppose I have a time series of stock growth and one of gdp growth and education over the years. Can I try to explain stock using gdp and education by running an OLS or would I be mistaken from a ...
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1answer
91 views

cubic spline in excel with month, quarter and year inputs

Using Excel, how could I calculate a cubic spline curve in monthly granularity when my inputs are a combination of months, quarters and years? The quarter and yearly averages of the spline curve need ...
0
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1answer
104 views

Package ‘PerformanceAnalytics’ - Risk-free rate : Trouble using CAPM.beta() function

This is the first time I use the Package ‘PerformanceAnalytics’. I have a problem when it comes to use "Rf" (risk-free rate) when using the CAPM.beta. I use EONIA as a proxy for the risk free-rate. ...
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0answers
91 views

Linear Transformation of stock price

Suppose, using market data for a stock, at a tick level, I arrive at a time series, I(t), which is a linear transform of the stock price time series, S(t). I(t) is not leading S(t) and the lagged ...
3
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1answer
472 views

How to plot time series for stock data using R

We have a dataset which has open,high,low and close values. We have normalized the data and trying to plot normalized open values against Date. The dataset can be found at http://finance.yahoo.com/...