Questions tagged [time-series]

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

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2answers
1k 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
69 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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0answers
758 views

Application of time series analysis to Bitcoin prices [closed]

Various exchanges allow for the trading of Bitcoins. The price of Bitcoin was very volatile since the inception of the system, today it is 391.76 USD: I wonder whether time series analysis tools from ...
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6answers
15k views

Which library shall I use for time series analysis in Java?

I'm looking for a library to do some time series analysis in Java but I can't find anything suitable. I've found plenty of libraries such as Math3 of JSAT but there's much I can you for my problem. ...
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1answer
48 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
754 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
79 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
517 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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3answers
2k views

Calibration of a GBM - what should dt be?

I have a time series of daily data that I want to calibrate GBM parameters $\mu$ and $\sigma$ to. Using the discretized solution $$ S_{t_{i+1}} = S_{t_i}\exp\left(\left(\mu - \frac{\sigma^2}{2}\...
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1answer
101 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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3answers
179 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 ...
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0answers
133 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 ...
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1answer
203 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 ...
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1answer
2k views

Counterintuitive time varying Beta with Kalman filter

If you're used to play with R, you'll enjoy the following reproducible code: ...
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1answer
136 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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3answers
165 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 ...
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1answer
671 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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1answer
347 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
34 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 ...
3
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2answers
754 views

What is the best way of updating data while using Empirical Mode Decomposition to analyze

I have a question about EMD updating new data points. For an entire time series, from beginning to the end, the EMD preforms quite good using the cubic spline function. The problem happens when new ...
3
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0answers
99 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 ...
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2answers
431 views

Is a linear combination of GARCH processes also a GARCH process?

If two time series follow a GARCH process, and a third is a linear combination of them, is the third also GARCH process?
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1answer
102 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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4answers
241 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
132 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
605 views

DCC GARCH: specifying ARCH and GARCH parameter matrices in STATA

The command in STATA to estimate the DCC model of two variables is: mgarch dcc ( x1 x2=, noconstant) , arch(1) garch(1) distribution(t) $$ \begin{bmatrix} h_1{...
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1answer
204 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 ...
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1answer
94 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: ...
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2answers
76 views

Is my demand prediction too low?

I have a problem right now at work. For certain business segments, some sales target are established each year. These targets are established based on the managers feelings. It's like this: Manager: ...
2
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1answer
123 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
581 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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0answers
56 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
220 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 ...
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1answer
428 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
145 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
789 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="...
4
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1answer
114 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 ...
3
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2answers
710 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 ...
3
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1answer
783 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
423 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: ...
3
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2answers
578 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 ...
3
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3answers
8k views

Squared and Absolute Returns

I've always wondered why do one use squared or absolute returns to determine if volatility modeling is required for the return series? We understand that there are various tests for its ...
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1answer
38 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
69 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
38 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 ...
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2answers
2k views

Lagged dependent variable, yes or no?

I read conflicting opinions about the inclusion of lagged dependent variables in modeling, and I guess it is partly up to the researcher and depending on the scope and goal of the research. I'm ...
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0answers
382 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 ...
10
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2answers
274 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
676 views

VEC GARCH (1,1) for 4 time series

I have to estimate a VEC GARCH(1,1) model in R. I already tried rmgarch, fGarch, ccgarch, mgarch, tsDyn. Has somebody estimated a model like that? ...