Politics, Schools, Public Health, and Language

Graham Giller

Chapter 4 in Adventures in Financial Data Science:The Empirical Properties of Financial and Economic Data, 2022, pp 227-284 from World Scientific Publishing Co. Pte. Ltd.

Abstract: In the previous chapters, the work has focused first on financial time-series, then economic and other time-series. Here, we will investigate data which, mostly, does not have a significant time-series element, meaning that the autocorrelations are weak.

Keywords: Data Science; Finance; Quant Research; Econometrics; Trading Strategy; Survey Research; Political Science; Time-Series Analysis; Volatility; Stock Market; Bond Market; Interest Rates; Empirical Finance; Probability Distributions; Statistics; Estimation; Empirical Science; Hypothesis Testing; Biography; Coronavirus; Epidemiology; Geospatial Analysis; Index Futures; Index Options; Morgan Stanley; Process Driven Trading; Quant Trading; Climate; Temperature; Demographics; Machine Learning (search for similar items in EconPapers)
JEL-codes: C01 C22 C58 G1 (search for similar items in EconPapers)
Date: 2022
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