# Questions tagged [time-series]

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

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### 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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
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, ...
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 ...
2k views

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### 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 ...
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 ...
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 ...
2k views

### Counterintuitive time varying Beta with Kalman filter

If you're used to play with R, you'll enjoy the following reproducible code: ...
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
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 ...
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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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="...
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 ...
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 ...
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 ...
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: ...
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 ...
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 ...
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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### 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 ...
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 ...
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 ...
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 ...
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 ...