Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Qiu, Wanling"'
Finance is heavily influenced by data-driven decision-making. Meanwhile, our ability to comprehend the full informational content of data sets remains impeded by the tools we apply in analysis, especially where the data is high-dimensional. Presentin
Externí odkaz:
http://arxiv.org/abs/2206.03622
Norms of Persistent Homology introduced in topological data analysis are seen as indicators of system instability, analogous to the changing predictability that is captured in financial market uncertainty indexes. This paper demonstrates norms from t
Externí odkaz:
http://arxiv.org/abs/2110.00098
Corporate failure resonates widely leaving practitioners searching for understanding of default risk. Managers seek to steer away from trouble, credit providers to avoid risky loans and investors to mitigate losses. Applying Topological Data Analysis
Externí odkaz:
http://arxiv.org/abs/2004.10318
An understanding of the economic landscape in a world of ever increasing data necessitates representations of data that can inform policy, deepen understanding and guide future research. Topological Data Analysis offers a set of tools which deliver o
Externí odkaz:
http://arxiv.org/abs/1911.10476
Firm financials are well established as return predictors, being the inspiration for a large set of anomalies in the asset pricing literature. Employing topological data analysis we revisit the question of association between seven of the most common
Externí odkaz:
http://arxiv.org/abs/1911.10297
Publikováno v:
In Expert Systems With Applications 1 August 2023 223
A desire to understand the decision of the UK to leave the European Union, Brexit, in the referendum of June 2016 has continued to occupy academics, the media and politicians. Using topological data analysis ball mapper we extract information from mu
Externí odkaz:
http://arxiv.org/abs/1909.03490
Periodic and semi periodic patterns are very common in nature. In this paper we introduce a topological toolbox aiming in detecting and quantifying periodicity. The presented technique is of a general nature and may be employed wherever there is susp
Externí odkaz:
http://arxiv.org/abs/1905.12118
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