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This paper documents that firms increasingly finance innovation with their stock of innovation, measured as patents. We refer to this behavior as financing innovation with innovation. Drawing on patent collateral data from the US and China, we first show that (1) in both countries the number and...
Persistent link: https://www.econbiz.de/10014239701
In this paper, we show that there exists a special breed of firms that are active in both ordinary and processing exports. Contrary to the existing literature that describes processing firms as inferior, these mixed firms are superior to other firms in multiple dimensions, and hence we call them...
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We build and estimate a dynamic, structural model of the world oil market in order to quantify the impact of the shale revolution. We model the shale revolution as a dramatic decrease in shale production costs and explore how the resultant increase in shale production affects the level and...
Persistent link: https://www.econbiz.de/10014048830
This paper introduces two co-movement measures based on the Thick Pen Transform into the macroeconomic literature: the Thick Pen Measure of Association (TPMA) as well as Multi-Thickness Thick Pen Measure of Association (MTTPMA). Both measures are non-parametric, time-varying, and flexible....
Persistent link: https://www.econbiz.de/10014356480
This paper measures integration of the world crude oil market using two so-called Thick Pen methods: the Thick Pen Measure of Association (TPMA) as well as Multi-Thickness Thick Pen Measure of Association (MTTPMA). They allow one to capture time-varying co-movement of different regional crude...
Persistent link: https://www.econbiz.de/10013214366
This paper examines the contribution of market expectations to commodity price dynamics. It proposes a dynamic competitive storage framework with an expectations shock explicitly along with concurrent shocks to study the commodity price movements. This allows for a more refined analysis of the...
Persistent link: https://www.econbiz.de/10012947478
This paper suggests a new approach to evaluate realized covariance (RCOV) estimators via their predictive power on return density. By jointly modeling returns and RCOV measures under a Bayesian framework, the predictive density of returns and ex-post covariance measures are bridged. The forecast...
Persistent link: https://www.econbiz.de/10012697796