<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Volatility on gdpark.blog</title><link>https://gdpark.blog/tags/volatility/</link><description>Recent content in Volatility on gdpark.blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 14 Dec 2016 00:00:00 +0000</lastBuildDate><atom:link href="https://gdpark.blog/tags/volatility/index.xml" rel="self" type="application/rss+xml"/><item><title>Binomial Model: Generalized n-Period [Financial Engineering Programming #6]</title><link>https://gdpark.blog/posts/financial-engineering-06-binomial-model-generalized-n-period/</link><pubDate>Mon, 03 Oct 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/financial-engineering-06-binomial-model-generalized-n-period/</guid><description>We tackle the scary-looking generalized n-period binomial formula and break it down piece by piece — p, u, d, sigma notation and all.</description></item><item><title>Capital Allocation Line (CAL) [Basic Investing I Studied #9]</title><link>https://gdpark.blog/posts/basic-investing-09-capital-allocation-line-cal/</link><pubDate>Tue, 05 Apr 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/basic-investing-09-capital-allocation-line-cal/</guid><description>How slicing your cash between the spicy risky stuff and the boring risk-free stuff moves your expected return and volatility — that&amp;rsquo;s the Capital Allocation Line.</description></item><item><title>Black-Scholes Formula [Financial Engineering Programming #10]</title><link>https://gdpark.blog/posts/financial-engineering-10-black-scholes-formula/</link><pubDate>Thu, 20 Oct 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/financial-engineering-10-black-scholes-formula/</guid><description>Can&amp;rsquo;t derive Black-Scholes to save my life, but coding up the call and put pricing formula in VBA? That part&amp;rsquo;s actually not hard at all.</description></item><item><title>Properties of Stock Options [Derivatives I Studied #11]</title><link>https://gdpark.blog/posts/derivatives-11-properties-of-stock-options/</link><pubDate>Mon, 28 Nov 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/derivatives-11-properties-of-stock-options/</guid><description>Breaking down every variable that moves option prices — S, K, T, σ, r, and D — and why European vs. American options handle time to expiration differently.</description></item><item><title>Volatility [Financial Engineering Programming #11]</title><link>https://gdpark.blog/posts/financial-engineering-11-volatility/</link><pubDate>Thu, 20 Oct 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/financial-engineering-11-volatility/</guid><description>Breaking down historical and implied volatility — what they are, why we care, and how to actually compute historical vol from weekly price data in VBA.</description></item><item><title>Implied Volatility [Financial Engineering Programming #13]</title><link>https://gdpark.blog/posts/financial-engineering-13-implied-volatility/</link><pubDate>Fri, 09 Dec 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/financial-engineering-13-implied-volatility/</guid><description>Flip the BS formula backwards — plug in the real market price, leave σ blank, and whatever volatility makes it work? That&amp;rsquo;s implied volatility, baby.</description></item><item><title>Options Trading Strategies (Part 2): Combinations and Practice Problems [Derivatives I Studied #14]</title><link>https://gdpark.blog/posts/derivatives-14-options-trading-strategies-part-2-combinations-and-practice/</link><pubDate>Wed, 14 Dec 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/derivatives-14-options-trading-strategies-part-2-combinations-and-practice/</guid><description>Wrapping up options combinations — straddles, strangles, strips, and straps — and figuring out which one to pick depending on your vol view and your wallet.</description></item></channel></rss>