Straddles And Trend Following - Flirting With Models

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Additionally, the CFTC clarified that the court’s order came in the wake of a complaint filed by them on September 27, 2018, charging Montano with solicitation fraud related to binary options trading.

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Furthermore, six firms were allegedly involved in fraudulent solicitation to trade in commodity futures, options on commodities futures, retail off-exchange, misappropriation of funds and issuing false statements. Yesterday, the US CFTC filed an enforcement action to charge Rudy Avila.

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Therefore, the straddle was struck so deep in the money that it did not create any protection against the market’s sudden and large drawdown. Entering March, the S&P 500 was +45% over a 14-month lookback (almost perfectly anchored to December 2018 lows). Note the curious case of the 14-month lookback.

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Nathan holds a Master of Science in Computational Finance from Carnegie Mellon University and graduated summa cum laude from Case Western Reserve University with a Bachelor of Science in Chemical Engineering and a minor in Mathematics. Prior to joining Newfound, he was a chemical engineer at URS, a global engineering firm in the oil, natural gas, and biofuels industry where he was responsible for process simulation development, project economic analysis, and the creation of in-house software. At Newfound, Nathan is responsible for investment research, strategy development, and supporting the portfolio management team. Nathan is a Portfolio Manager at Newfound Research, a quantitative asset manager offering a suite of separately managed accounts and mutual funds.

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FOREX.com's execution statistics represent orders executed on FOREX.com's platforms during market hours between January 31, 2021 5:00 pm ET and February 28, 2021 5:00 pm ET for all FOREX.com's international affiliates and excludes trades/orders entered on the MetaTrader platform.

Additionally, the CFTC clarified that the court’s order came in the wake of a complaint filed by them on September 27, 2018, charging Montano with solicitation fraud related to binary options trading.

To evaluate whether this additional flexibility was justified, we used the AIC to compare our model to the simpler DM with constant bounds. Table 1 shows how the AIC of our model fit compares with that of a standard fit of a DM with constant boundaries. Allowing the diffusion model bound to vary flexibly over time comes at the cost of introducing a large number of additional model parameters (12 for monkey fits; 11 for human fits) when compared with the commonly used DMs with constant bounds (3 model parameters) (Gold and Shadlen, 2002, 2007; Palmer et al., 2005). Based on this analysis, we conclude that the additional complexity of our model is justified. The AIC compares the log likelihood of two models while penalizing for the number of parameters.