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Category Archives: C53

Geo-Spatial Modeling of Online Ad Distributions

By Mitchel Drake Gorecki The purpose of this document is to demonstrate how spatial models can be integrated into purchasing decisions for real-time bidding on advertising exchanges to improve ad selection and performance. Historical data makes it very apparent that some neighborhoods are much more interested in some ads than others. Similarly, some neighborhoods are […]

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Forecasting Beta Using Conditional Heteroskedastic Models

By Andrew Bentley Conventional measurements of equity return volatility rely on the asset’s previous day closing price to infer the current level of volatility and fail to incorporate information concerning intraday influntuctuations. Realized measures of volatility, such as the realized variance, are able to integrate intraday information by utilizing high-frequency data to form a very […]

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