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	<title>Volatility Library</title>
	<link>http://www.realvol.com/volatilityblog</link>
	<description>A service of RealVol LLC</description>
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		<title>Trading realized variance using listed vanillas</title>
		<description><![CDATA[Article by: Alberto Cherubini, Trevor Samols Published by: Automated Trader Magazine, Issue 40 Date: Q3 2016 &#8220;Listed futures on VIX and its cousins give exposure to implied variance. But getting exposure to realised variance is very different and usually has been the realm of OTC variance swaps. Here we examine strategies to trade the realised [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=637</link>
			</item>
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		<title>The fine structure of volatility feedback II: overnight and intra-day effects</title>
		<description><![CDATA[Article by: Pierre Blanc, Remy Chicheportiche, Jean-Philippe Bouchaud Date: 21 May 2014 &#8220;We decompose, within an ARCH framework, the daily volatility of stocks into overnight and intraday contributions. We find, as perhaps expected, that the overnight and intraday returns behave completely differently. For example, while past intra-day returns affect equally the future intraday and overnight [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=626</link>
			</item>
	<item>
		<title>Alternative Risk Measures and Stock Selection</title>
		<description><![CDATA[Article by: Euan Sinclair, Saarthak Gupta Published by: Social Science Research Network Date: 2 Apr 2015 &#8220;Uncertainty is generally avoided when investing. Volatility is a popular proxy for investment uncertainty, and indeed low volatility stocks outperform high volatility stocks. However, there are also many other possible measures of uncertainty, among which are entropy and the [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=620</link>
			</item>
	<item>
		<title>Stock return variances: The arrival of information and the reaction of traders</title>
		<description><![CDATA[Article by: Kenneth R. French, Richard Roll Published by: Journal of Financial Economics Date: 1986 &#8220;Asset prices are much more volatile during exchange trading hours than during non-trading hours. This paper considers three explanations for this phenomenon: (1) volatility is caused by public information which is more likely to arrive during normal business hours; (2) [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=613</link>
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		<title>Dispersion &#8211; A Guide for the Clueless</title>
		<description><![CDATA[Article by: FDAXHunter Published by: Capital Structure Demolition LLC Date: Jul 2004 &#8220;Once upon a time dispersion trading desks used to be the kings (and queens) of volatility trading in the equity arena (if we ignore the 35 mio USD short vega position by LTCM). &#8220;Dispersion desks can handle significant volatility risks in the same [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=608</link>
			</item>
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		<title>Lecture 5: Volatility and Variance Swaps</title>
		<description><![CDATA[Article by: Jim Gatheral, Merrill Lynch Published by: Courant Institute of Mathematical Sciences Date: 2001 &#8220;Although variance and volatility swaps are relatively recent innovations, there is already significant literature describing these contracts and the practicalities of hedging them. &#8220;In fact, a variance swap is not really a swap at all but a forward contract on [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=602</link>
			</item>
	<item>
		<title>Dispersion: Measuring Market Opportunity</title>
		<description><![CDATA[Article by: Tim Edwards PhD, Craig J. Lazzara CFA Published by: McGraw Hill Financial Date: Dec 2013 &#8220;With apologies to Jane Austen, it is a truth universally acknowledged that a portfolio manager in control of a fortune must be in want of diversification. But what does it mean to say that a particular index (or [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=598</link>
			</item>
	<item>
		<title>Intraday Volatility Analysis on S&amp;P 500 Stock Index Future</title>
		<description><![CDATA[Article by: Hong Xie, Jian Li From: Brunel University Published by: International Journal of Economics and Finance Date: 2010 &#8220;This paper analysed intraday volatility by S&#038;P 500 stock index future product and basic on the high frequency trading strategy. The processes of the model are the GARCH series which including GARCH (1, 1), EGARCH and [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=593</link>
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		<title>GARCH Models</title>
		<description><![CDATA[Article by: David Ruppert From: Statistics and Data Analysis for Financial Engineering Published by: Springer New York Date: 2010 &#8220;&#8230;financial markets data often exhibit volatility clustering, where time series show periods of high volatility and periods of low volatility;&#8230;. In fact, with economic and financial data, time-varying volatility is more common than constant volatility, and [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=589</link>
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		<title>Volatility and its Measurements: The Design of a Volatility Index and the Execution of its Historical Time Series at the DEUTSCHE BÖRSE AG</title>
		<description><![CDATA[Article by: Lyndon Lyons and Prof. Dr. Notger Carl Published by: Würzburg-Schweinfurt University of Applied Sciences Date: April 2005 &#8220;The volatility index, sometimes called by financial professionals and academics as “the investor gauge of fear” has developed overtime to become one of the highlights of modern day financial markets. Due to the many financial mishaps [...]]]></description>
		<link>http://www.realvol.com/volatilityblog/?p=585</link>
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