Markov's inequality is a useful statistical tool used to prove the consistency of an estimator. I discuss the proof of Markov's inequality and demonstrate its use in proving the consistency of an example estimator.

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I estimate the daily Value at Risk (VaR) of McDonald's stock by using a GARCH model that takes into account heavy-tailed White Noise innovations in R.

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