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The problem studied is the pricing of options on the CBOE Skew index. The option pricing theory developed seeks to hedge the risk using positions in the market for options on a related asset and the option is then priced at the cost of this hedge. The theory is applied to pricing VIX options...
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In this paper, we show how we can deploy machine learning techniques in the context of traditional quant problems. We illustrate that for many classical problems, we can arrive to speed-ups of several orders of magnitude by deploying machine learning techniques based on Gaussian process...
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of time. The underlying process has a single parameter, the constant variance rate of the process. Delta hedging using … hedging. The hedging strategies are implemented for stylized businesses represented by dynamic volatility indexes. The … unity and the square. Numerous hedging strategies may be run using different powers and biases in the probability of an up …
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numerous real-world applications, including portfolio theory, option positioning, hedging, and trading contexts. This book …-world applications, including portfolio theory, option positioning, hedging, and trading contexts. This book offers a quantitative and …
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Complex positions on multiple underliers are hedged using the options surface of all underliers. Hedging objectives …
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