High frequency (or ultra high frequency) data cannot be used as continuous regularly sampled time series to build estimators of: volatility, traded volumes, correlations, etc...

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2
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2answers
97 views

How to interpret Realized Volatility and TSRV using R

I am looking at some high frequency data and I would like to know how to interpret and compare Realized volatility (RV) and Two Scale Realized Volatility (TSRV). References below. Given X is the log ...
0
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0answers
39 views

Realized Volatility: errors correlation

When using Realized Volatility (sum of squared intraday returns) to estimate volatility, following the model: $$r_t = \sigma_t \epsilon_t $$ where $\sigma^2_t$ is the volatility at time $t$ and ...
4
votes
3answers
203 views

Negative high frequency intraday volatility - Zhou estimator

To estimate high frequency tick data stock intraday volatility, I have read Robert Almgren's notes7.pdf http://www.cims.nyu.edu/~almgren/timeseries/notes7.pdf where he talks about the bias free ...
1
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1answer
123 views

Can you explain me these comments on high frequency data?

I was reading some slides on high frequency data and i came across these statements: data discreetness induces high degree of kurtosis and Non synchronous trading and risk premium are ...
0
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0answers
33 views

Correction factors for volatilities of smoothed returns

In An Introduction to High Frequency Finance (http://www.amazon.ca/Introduction-High-Frequency-Finance-Ramazan-Gen%C3%A7ay/dp/0122796713), the authors (on page 253) build a tick-frequency volatility ...
5
votes
1answer
389 views

When does the Epps effect start?

Wikipedia defines the Epps effect as follows: In econometrics and time series analysis, the Epps effect, named after T. W. Epps, is the phenomenon that the empirical correlation between the returns ...
9
votes
1answer
379 views

What good papers of short term (<30 seconds) volatility estimation [duplicate]

I am looking for good papers of short term (<30 sec) volatility estimation AND short term volatility forecasting. Do you have something in mind ?
7
votes
1answer
493 views

How to model time series of illiquid stocks - 400 observations (transactions) per 8 hours?

How to model time series which are illiquid - 400 observations (transactions) per 8 hours ? Are there models suitable for this situation which incorporate not only size of the transactions but also ...
7
votes
2answers
714 views

How to manage equity portfolio risk intraday?

Lets assume that I have an equity strategy that generates signals intraday to buy and sell. I run this strategy across the SP500 names. Now within my strategy I want to incorporate a method to help me ...
8
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6answers
12k views

How to calculate historical intraday volatility?

Sorry for what must be a beginner question, but when I went to write code I realized I didn't understand exactly how historical volatility, or statistical volatility, is defined. Wikipedia tells me ...
8
votes
2answers
625 views

Liquidity estimators: VWAP and IS

I am looking for some info on how to estimate liquidity (intraday). I have read some researches and created intraday measurements of liquidity on time yet not on price. What I mean by this is that I ...
13
votes
5answers
4k views

What exactly is meant by “microstructure noise”?

I see that term tossed around a lot, in articles relating to HFT, and ultra high frequency data. It says at higher frequencies, smaller intervals, microstructure noise is very dominant. What is ...
9
votes
3answers
764 views

better estimator of volatility for small samples

One commonly used sample estimator of volatility is the standard deviation of the log returns. It is indeed a very good estimator (unbiased, ...) when the sample is large. But I don't like it for ...