Intellectual Property Risk Tracking Method based on Kalman Filtering

DOI

10.2991/978-94-6463-811-0_19How to use a DOI?

Keywords

Intellectual property pledge financing; Kalman filtering; Risk Tracking; Dynamic financial analysis

Abstract

As the intellectual property pledge financing market continues to develop, this approach has increasingly become a crucial funding channel for technology-driven small and micro enterprises. At the same time, the risks and problems therein have also been exposed. Among them, the effective supervision of financing enterprises after loans has become one of the urgent problems to be solved in the current market. This paper, grounded in an analysis of market demand, first examines the challenge of monitoring the operational risks of enterprises post-intellectual property pledge financing. Subsequently, it devises a Kalman filtering-based risk tracking model. The proposed model comprehensively assesses enterprises’ debt-servicing capabilities by integrating multiple financial metrics, including the current ratio and quick ratio. The Kalman filtering model is utilized to obtain the parameter set of specific enterprises. By comparing the parameter set of specific enterprises with the overall risk threshold of the detection samples, enterprises are classified into three different types: healthy enterprises, light-risk enterprises, and heavy-risk enterprises. The model offers enterprises, banks, and third-party regulatory agencies a novel real-time risk tracking approach grounded in dynamic financial analysis.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Tianyuan Yu
PY  - 2025
DA  - 2025/08/14
TI  - Intellectual Property Risk Tracking Method based on Kalman Filtering
BT  - Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)
PB  - Atlantis Press
SP  - 180
EP  - 189
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-811-0_19
DO  - 10.2991/978-94-6463-811-0_19
ID  - Yu2025
ER  -