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Common Mistakes when Applying Computational Intelligence and Machine Learning to Stock Market modelling
Computational intelligence machine learning stock market equities automated stock tradin mistakes.
2012/9/17
For a number of reasons, computational intelligence and machine learning methods have been largely dismissed by the professional community. The reasons for this are numerous and ...
When the full stock of a new product is quickly sold in a few days or weeks, one has the impression that new technologies develop and conquer the market in a very easy way. This may be true for some n...
Estimating discriminatory power and PD curves when the number of defaults is small
Estimating discriminatory power PD curves defaults
2010/11/1
The intention with this paper is to provide all the estimation concepts and techniques that
are needed to implement a two-phases approach to the parametric estimation of probability
of default (PD) ...
The Effects of Random and Discrete Sampling When Estimating Continuous-Time Diffusions
The Effects of Random Discrete Sampling Estimating Continuous-Time Diffusions
2014/3/13
The Effects of Random and Discrete Sampling When Estimating Continuous-Time Diffusions.
TESTING FOR COINTEGRATION WHEN SOME OF THE COINTEGRATING VECTORS ARE PRESPECIFIE
TESTING FOR COINTEGRATION THE COINTEGRATING VECTORSPRESPECIFIE
2014/3/18
Many economic models imply that ratios, simple differences, or "spreads" of variables are I(O). In these models, cointegrating vectors are composed of l's, O's, and - l's and ...