Measure of Dependence for Financial Time-Series
Statistical Finance
2023-11-22 v1
Abstract
Assessing the predictive power of both data and models holds paramount significance in time-series machine learning applications. Yet, preparing time series data accurately and employing an appropriate measure for predictive power seems to be a non-trivial task. This work involves reviewing and establishing the groundwork for a comprehensive analysis of shaping time-series data and evaluating various measures of dependence. Lastly, we present a method, framework, and a concrete example for selecting and evaluating a suitable measure of dependence.
Keywords
Cite
@article{arxiv.2311.12129,
title = {Measure of Dependence for Financial Time-Series},
author = {Martin Winistörfer and Ivan Zhdankin},
journal= {arXiv preprint arXiv:2311.12129},
year = {2023}
}
Comments
9 pages, 6 figures. arXiv admin note: text overlap with arXiv:1111.6857 by other authors