Resampling technique for estimating standard errors and computing confidence intervals of sample based quantities.

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Block bootstrap to synthesize asset prices

I have a few basic questions on block bootstrapping on a financial time series ('TS'). Assuming my trade universe consists of 10 stocks, I would like to create a set of synthetic prices for all 10 ...
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121 views

State Space models with Short Time Series

My problem is that I have a state space model that I estimate using the Berndt–Hall–Hall–Hausman (BHHH) algorithm. The state space model is relatively simple in that the hidden part follows a pure AR(...
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Bootstrapping p values in linear regression in R

Can someone help me with a code how to bootstrap p values in R using Boot or boot package? regCSS30 <- dyn$lm(lag(eval(parse(text="HV")),-30) ~ lag((eval(parse(text="CSS30"))),0), data=window(...
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What I find if I bootstrap a binary logistic regression?

I want to describe the direction of some stock returns, using as predictors several independent variables which are uncorrelated. The relation in which I am interested is between the stock returns and ...