RSS
 

High Frequency Trading Regulation – The Trading Profits of High Frequency Traders

25 Apr 2013

Article by: Andrei Kirilenko, Matthew Baron, Jonathan Brogaard
Published by: CFTC
Date: Nov 2012

“In this paper, we examine the link between HFT speed, liquidity provision, and trading profits. We have four main findings. First, HFTs are profitable, especially Aggressive (liquidity-taking) HFTs, and generate high Sharpe ratios. Second, HFTs generate their profits from all other market participants, and do so mainly in the short and medium run (seconds to minutes). Third, firm concentration in the HFT industry is not decreasing over time, nor is its profitability. We conjecture this is tied to our fourth finding that HFTs profits are persistent, new entrants have a higher propensity to underperform and exit, and the fastest firms (in absolute and in relative terms) make up the upper tail of performance.”

Full article: Link

 
Comments Off

Posted in Uncategorized

 

Variance and Volatility Swaps

15 Apr 2013

Published by: FINCAD
Date: 2008

“Rather than gaining exposure to the market’s volatility through standard call and put options, investors can take views on the future realized volatility directly by trading derivatives on variance and volatility. The simplest such instruments are variance and volatility swaps.

“A volatility swap is a forward contract on future realized price volatility. Similarly, a variance swap is a forward contract on future realized price variance, variance being the square of volatility. At expiry the receiver of the “floating leg” pays (or owes) the difference between the realized variance (or volatility) and the agreed upon strike. At inception the strike is generally chosen such that the fair value of the swap is zero. This strike is referred to as fair variance (or fair volatility).”

Full article: Link

 
Comments Off

Posted in Realized volatility

 

Variance and volatility swaps in energy markets

28 Mar 2013

Article by: Anatoliy Swishchuk
Published by: Journal of Energy Markets
Date: 8 Jun 2011

“This paper focuses on the pricing of variance and volatility swaps in the energy market. An explicit variance swap formula and a closed-form volatility swap formula (using the Brockhaus–Long approximation) for energy assets with stochastic volatility are found. These formulas follow the continuous-time generalized autoregressive conditional heteroskedasticity(1,1).GARCH.1; 1//model (meanreverting) or the Pilipovi´c one-factor model. A numerical example is presented for the AECO natural gas index.”

Full article (PDF): Link
Presentation (PDF): Link

 
Comments Off

Posted in Realized volatility

 

Volatility as an Asset Class

14 Mar 2013

Article by: Julien Lascar
Published by: Societe Generale Corporate & Investment Banking
Date: Jun 2012

This is a presentation on volatility, tail hedging, and alternative investments given at the Asian Insurance Forum.

Full article (PDF): Link

 
 
© Copyright 2018 RealVol LLC. All rights reserved