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.gitattributes
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@@ -39,3 +39,5 @@ Using[[:space:]]My[[:space:]]Flesh[[:space:]]to[[:space:]]Make[[:space:]]TeX-wri
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variance[[:space:]]and[[:space:]]standard[[:space:]]deviation/image.png filter=lfs diff=lfs merge=lfs -text
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variance[[:space:]]and[[:space:]]standard[[:space:]]deviation/main.pdf filter=lfs diff=lfs merge=lfs -text
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volatility[[:space:]]drag/volatility[[:space:]]drag.png filter=lfs diff=lfs merge=lfs -text
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variance[[:space:]]and[[:space:]]standard[[:space:]]deviation/image.png filter=lfs diff=lfs merge=lfs -text
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variance[[:space:]]and[[:space:]]standard[[:space:]]deviation/main.pdf filter=lfs diff=lfs merge=lfs -text
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volatility[[:space:]]drag/volatility[[:space:]]drag.png filter=lfs diff=lfs merge=lfs -text
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volatility[[:space:]]drag/volatility[[:space:]]drag[[:space:]]more.png filter=lfs diff=lfs merge=lfs -text
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volatility[[:space:]]drag/volatility[[:space:]]drag.pdf filter=lfs diff=lfs merge=lfs -text
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volatility drag/volatility drag more.png
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Git LFS Details
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volatility drag/volatility drag.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d975c84dfe6e3d74a4f4f25117292e7e9ca18d25e0b72869bb7ade32978183a
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size 113713
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volatility drag/volatility drag.tex
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\documentclass[11pt]{article}
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\usepackage[margin=0.5in]{geometry}
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% Core packages
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\usepackage{amsmath,amssymb}
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\usepackage{xcolor}
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\usepackage{tikz-cd}
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\usepackage{multicol}
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\newcommand{\colortext}[2]{\textcolor{#1}{#2}}
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% Paragraphs
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\setlength{\parindent}{0pt}
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\setlength{\parskip}{1\baselineskip}
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\author{algorembrant}\date{\today}
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\begin{document}
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\maketitle
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\section{Variance and Standard Deviation}
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\begin{align}
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\sigma &= \sqrt{\underbrace{\frac{1}{T}\sum_{t=1}^{T}\left(x_t-\underbrace{\frac{1}{T}\sum_{t=1}^Tx_t}_{\mu = \text{average}}\right)^2}_{\sigma^2=\text{variance}}}, \quad \text{standard deviation (population); use }\frac{1}{T-1}\sum_{t=1}^T(\dots)^2 \text{ for sample variance} \\
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\sigma &= \sqrt{\underbrace{\frac{1}{T}\sum_{t=1}^{T}\left(\textcolor{red}{r}_t-\underbrace{\frac{1}{T}\sum_{t=1}^T\textcolor{red}{r}_t}_{\mu = \text{average}}\right)^2}_{\sigma^2=\text{variance}}}, \quad \text{volatility, where } r \text{ is return}
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\end{align}
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\section{Volatility Drag}
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\begin{align}
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v &= \underbrace{\frac{1}{T}\sum_{t=1}^T\textcolor{red}{r}_t}_{\mu} - \underbrace{\underbrace{\left(\prod_{t=1}^T 1+\textcolor{red}{r}_t\right)^{\frac{1}{T}}}_{g_{\text{factor}}} - 1}_{g}, \quad \text{volatility drag, no } \sigma^2 \text{ nor } \sigma \text{ involved} \\
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v &\approx \underbrace{\frac{1}{T}\sum_{t=1}^T\textcolor{red}{r}_t}_{\mu} - \underbrace{\underbrace{\exp \left(\log(1+\mu)-\frac{1}{2}\cdot \frac{1}{(1+\mu)^2} \cdot \sigma^2\right)}_{g_{\text{factor}{\approx}}}-1}_{g_{\approx}}, \quad \text{volatility drag, uses approximated } g
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\end{align}
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where $\mu$ is arithmetic mean, and $g$ is geometric mean.
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\end{document}
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