Perhaps more than any other development, finance was ushered into the
modern era with the development of the Capital Asset Pricing Model
(CAPM) by William Sharpe in the early 60s. Though commonly criticized as
too simple and reductionist, the model is still used today as an easy
way to determine a stock's exposure to the market:
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This post is going to be a little different from usual; instead of
markets, we're going to look at a video game, namely, Counter-Strike:
Global
Offensive
(CS:GO). CS:GO, like most great games, is easy to learn but deceptively
hard to master. For those at are unfamiliar with the game, we'll give a
quick overview below.
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In the final installment of this three part series, we are going to use
our results from the previous two posts to construct a fully automated
variable leverage ETF. In part
one, we derived the
optimal leverage ratio for maximizing returns and in part
two we applied the ARMA
and GARCH models to forecast returns and volatility, respectively.
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In part one, we looked
into the relationship between volatility, returns, and leverage and
derived an equation for the optimal leverage ratio that maximizes the
expected return of a portfolio. This leverage ratio is dependent on two
principle components, expected variance and expected returns:
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Did you know there's one weird trick that Wall Street doesn't want you
to know? For only one payment of $39.99, you can get access to this
limited time only exclusive video that will show you how to fight that
bear market! Click here before Wall Street makes it illegal… Or you
could just read this post, I guess.
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