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, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance …, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook … finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook. Led by …
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Most standard statistical methods treat numerical data as if they were real (infinitenumber- of-decimal-places) observations. The issue of quantization or digital resolution is recognized by engineers and metrologists, but is largely ignored by statisticians and can render standard statistical...
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some packages can perform one-way ANOVA after generating surrogate data from summary statistics. In this short note we have …
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The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
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In addition to containing stable information to explain inflation, state-local expenditures also have a larger share of the forecast error variance of US inflation than the federal funds rate. Non-defense federal expenditures are useful in predicting real output variations and, starting from the...
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Besides some basic methodology and definitions, the guidelines provide practical rules, strategies and hints to lead the practitioner in the initial phase of survey planning and reporting, in the selection of the best sampling method and type of allocation, in the determination of the sample...
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