Innovative Methods Combining Financial Risk Management with Time Series Forecasting

This paper explores innovative approaches that combine financial risk management with time series forecasting. Financial risk management is particularly crucial in highly volatile and complex financial markets, as a core mechanism for financial institutions and investors to mitigate potential losses. Time series forecasting, a mathematical and statistical tool, offers distinct advantages in identifying and analyzing variations in data over time. This paper reviews the theoretical foundation of time series forecasting in financial risk management, analyzing its fundamental principles and applicability in financial risk assessment. The key technique and methods are discussed, including model selection and optimization, interactive analysis of time series data, and integrated risk control strategies. An innovative risk management model based on time series analysis is proposed, and its theoretical foundation and applicability are elaborated upon, providing a new theoretical framework and methodological support for financial risk management.