mean-reversion

Learning objectives: Explain how forecasts are generated from ARMA models. Describe the role of mean reversion in long-horizon forecasts. Explain how seasonality is modeled in a covariance-stationary ARMA. Questions: 20.25.1. Below is plotted the monthly growth rate of a new cryptocurrency...

Autocorrelation is a correlation of variable (eg, returns) with itself over time; it is a violation of returns. Positive autocorrelation increases scaled volatility, while negative autocorrelation (aka, mean reversion) decreases scaled volatility. Here is David's XLS: http://trtl.bz/2wSpHrG

Learning objectives: Evaluate the various approaches for estimating VaR. Compare and contrast different parametric and non-parametric approaches for estimating conditional volatility ... Explain long horizon volatility/VaR and the process of mean reversion according to an AR(1) model. Calculate...

Learning objectives: Explain mean reversion and how it is captured in the GARCH(1,1) model. Explain the weights in the EWMA and GARCH(1,1) models. Explain how GARCH models perform in volatility forecasting. Describe the volatility term structure and the impact of volatility changes. Questions...

David, I am now thoroughly confused by the Square Root Rule and scaling the VaR under the circumstance of Mean Reversion and Auto correlation. In search of an explanation, I found this thread http://www.bionicturtle.com/forum/newreply/1729/ , but your link is not attached anymore. The rules...

David.. I request you to to eloborate the term means reversion. What it exactly means and how it impacts VaR. Your editgrids are indeed elegant and educative. But unlike your webcasts exclusively I find it hard to follow (although I reapeatedly watch them) and learn. You indeed touch upon...