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This paper provides a general framework for integration of high-frequency intraday data into the measurement forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting financial asset return volatilities, correlations, and...
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The stochastic process for earnings is the key element of incomplete markets models in modern quantitative macroeconomics. We show that a simple modification of the canonical process used in the literature leads to a dramatic improvement in the measurement of earnings dynamics in administrative...
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We present an econometric method for estimating the parameters of a diffusion model from discretely sampled data. The estimator is transparent, adaptive, and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator. We use this method to estimate a new...
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or stifle innovation. Using three distinct sources of variation to identify rising trade exposure, we provide a causal …-level and technology class-level patent production. Accompanying this fall in innovation, global employment, sales …
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on its ability to generate productivity increase, and domestic innovation will be an important part of it. In this paper …. In terms of drivers of innovation growth, we find that embracing expanded market opportunities in the world economy and … misallocation in the innovation area: while state-owned firms receive more subsidies, private firms exhibit more innovation results …
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