Lu / Cheng Digital Finance

CCF China Digital Finance Conference, CDFC 2025, Shanghai, China, August 15–17, 2025, Revised Selected Papers
Erscheinungsjahr 2026
ISBN: 978-981-955211-5
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 139 Seiten

Reihe: Economics and Finance

This book constitutes the refereed post-conference proceedings of the CCF China Digital Finance Conference on Digital Finance, CDFC 2025, held in Shanghai, China, August 15–17, 2025.   The 7 revised full papers presented were carefully selected from 19 submissions. The papers of CDFC 2025 organized in topical sections as follows: Intelligent Investment and Quantitative Trading; Financial Risk Management.

Zielgruppe

Research

Autoren/Hrsg.

Lu, Pinyan

Lu, Zhihui

Cheng, Dawei

Inhaltsverzeichnis

.- Intelligent Investment and Quantitative Trading.

.- NewsNet-SDF: Stochastic Discount Factor Estimation with Pretrained Language Model News Embeddings via Adversarial Networks.

.- Deep Learning Applications in Short-Term Cryptocurrency Price Prediction: An Integrated Analysis of News and Historical Data.

.- MVINet: A Multivariate Information Network for Enhanced Long-Term Time Series Forecasting.

.- Standing on the Shoulder of Giants: Integrating Generative Large Language Models into Portfolio Optimization.

.- Financial Risk Management.

.- Inference of Rejection in Credit Scoring Using the NRMPI Method: A Non-Random Missing Data Approach.

.- Analysis of Factors Influencing Corporate Cash Flow Based on Multivariate Hawkes Process Model.

.- Class Imbalance in Financial Distress Models: A Novel LightGBM-Based Hybrid Classifier.