Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Nyman, Rickard"'
Autor:
Nyman, Rickard, Ormerod, Paul
The Economic Policy Uncertainty index had gained considerable traction with both academics and policy practitioners. Here, we analyse news feed data to construct a simple, general measure of uncertainty in the United States using a highly cited machi
Externí odkaz:
http://arxiv.org/abs/2006.06457
Autor:
Nyman, Rickard, Ormerod, Paul
Economists are showing increasing interest in the use of text as an input to economic research. Here, we analyse online text to construct a real time metric of welfare. For purposes of description, we call it the Feel Good Factor (FGF). The particula
Externí odkaz:
http://arxiv.org/abs/2001.03401
Autor:
Nyman, Rickard, Ormerod, Paul
Nyman and Ormerod (2017) show that the machine learning technique of random forests has the potential to give early warning of recessions. Applying the approach to a small set of financial variables and replicating as far as possible a genuine ex ant
Externí odkaz:
http://arxiv.org/abs/2001.02115
Autor:
Nyman, Rickard1 (AUTHOR) r.nyman@cs.ucl.ac.uk, Ormerod, Paul2,3 (AUTHOR) pormerod@volterra.co.uk, Bentley, R. Alexander4 (AUTHOR) rabentley@utk.edu
Publikováno v:
Entropy. Sep2023, Vol. 25 Issue 9, p1298. 12p.
Autor:
Nyman, Rickard, Ormerod, Paul
Even at the beginning of 2008, the economic recession of 2008/09 was not being predicted. The failure to predict recessions is a persistent theme in economic forecasting. The Survey of Professional Forecasters (SPF) provides data on predictions made
Externí odkaz:
http://arxiv.org/abs/1701.01428
Publikováno v:
In Journal of Economic Dynamics and Control June 2021 127
Following the financial crisis of the late 2000s, policy makers have shown considerable interest in monitoring financial stability. Several central banks now publish indices of financial stress, which are essentially based upon market related data. I
Externí odkaz:
http://arxiv.org/abs/1508.05357
Obtaining an accurate picture of the current state of the economy is particularly important to central banks and finance ministries, and of epidemics to health ministries. There is increasing interest in the use of search engine data to provide such
Externí odkaz:
http://arxiv.org/abs/1408.0699
Autor:
Nyman, Rickard, Ormerod, Paul
We describe an exercise of using Big Data to predict the Michigan Consumer Sentiment Index, a widely used indicator of the state of confidence in the US economy. We carry out the exercise from a pure ex ante perspective. We use the methodology of alg
Externí odkaz:
http://arxiv.org/abs/1405.5695
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