Wavelet-Based Prediction for Governance, Diversification and Value Creation Variables
Statistical Finance
2012-12-27 v1 Computational Finance
Abstract
We study the possibility of completing data bases of a sample of governance, diversification and value creation variables by providing a well adapted method to reconstruct the missing parts in order to obtain a complete sample to be applied for testing the ownership-structure/diversification relationship. It consists of a dynamic procedure based on wavelets. A comparison with Neural Networks, the most used method, is provided to prove the efficiency of the here-developed one. The empirical tests are conducted on a set of French firms.
Cite
@article{arxiv.1011.5020,
title = {Wavelet-Based Prediction for Governance, Diversification and Value Creation Variables},
author = {Ines Kahloul and Anouar Ben Mabrouk and Slah-Eddine Hallara},
journal= {arXiv preprint arXiv:1011.5020},
year = {2012}
}
Comments
22 pages