Category Archives: Volatility Modeling

A Calendar Spread Strategy in VIX Futures

I have been working on developing some high frequency spread strategies using Trading Technologies’ Algo Strategy Engine, which is extremely impressive (more on this in a later post).  I decided to take a time out to experiment with a slower … Continue reading

Posted in Algo Design Language, Algo Strategy Engine, Futures, Spread Trading, TradeStation, Trading Technologies, VIX Index, Volatility Modeling | Tagged , , , , , , , | Comments Off

Volatility ETF Strategy – Sept 2014 Update

HIGHLIGHTS CAGR over 40% annually Sharpe ratio in excess  of 3 Max drawdown -4.3% Liquid, exchange-traded ETF assets Fully automated, algorithmic execution Monthly portfolio turnover Managed accounts with daily MTM Minimum investment $250,000 Fee structure 2%/20% VALUE OF $1,000 2012-2014 … Continue reading

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Not the Market Top

Our most reliable market timing indicator is a  system that “trades” the CBOE VIX Index, a measure of option volatility in the S&P500 Index.  While the VIX index itself is not tradable, the system provides a signal that can be … Continue reading

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Volatility Strategy +15.19% in August: Here’s How

WHERE VOLATILITY THRIVES Mark Gilbert has written extensively in BloombergView about the demise of volatility across asset classes and what this may portend for markets (see Volatility Dies, Hedge Funds Lose).  As Mark and other commentators have pointed out, the … Continue reading

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Enhancing Mutual Fund Returns With Market Timing

Summary In this article, I will apply market timing techniques to several popular mutual funds. The market timing approach produces annual rates of return that are 3% to 7% higher, with lower risk, than an equivalent buy and hold mutual … Continue reading

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How to Bulletproof Your Portfolio

Summary How to stay in the market and navigate the rocky terrain ahead, without risking hard won gains. A hedging program to get you out of trouble at the right time and step back in when skies are clear. Even … Continue reading

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A Scalping Strategy in E-Mini Futures

This is a follow up post to my post on the Mathematics of Scalping. To illustrate the scalping methodology, I coded up a simple strategy based on the techniques described in the post. The strategy trades a single @ES contract on 1-minute … Continue reading

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Stationarity and Fat Tails

In this post I am going to explore how, starting from the assumption of a stable, Gaussian distribution in a returns process, we evolve to a system that displays all the characteristics of empirical market data, notably time-dependent moments, high … Continue reading

Posted in Fat Tails, Mathematica, Regime Shifts, Regime Switching, Uncategorized, Volatility Modeling | Tagged , , , , , , | Comments Off

The Mathematics of Scalping

NOTE:  if you are unable to see the Mathematica models below, you can download the free Wolfram CDF player and you may also need this plug-in. You can also download the complete Mathematica CDF file here. In this post I want … Continue reading

Posted in Futures, Mathematca, Mathematica, Scalping, Trading, Volatility Modeling | Tagged , , , , , , , , , , , , , , , , | Comments Off

Implied Volatility in Merton’s Jump Diffusion Model

The “implied volatility” corresponding to an option price is the value of the volatility parameter for which the Black-Scholes model gives the same price. A well-known phenomenon in market option prices is the “volatility smile”, in which the implied volatility … Continue reading

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