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从花旗,巴克莱到中金原首席风险官:李祥林教你用衍生品追踪黑天鹅
华尔街见闻·2025-11-18 10:43

Core Viewpoint - The year 2025 presents a dramatic scenario where global liquidity is revitalized, and market enthusiasm is rekindled, particularly driven by the AI narrative, leading to record highs in global stock markets [1][4]. However, there is a simultaneous sharp decline in risk appetite, with institutional funds flowing into safe-haven assets like gold, resulting in multiple historical highs in gold prices [2][4]. Group 1: Market Dynamics - Investors are simultaneously betting on the future of AI while holding onto the reality of gold, reflecting a historical pattern seen during the internet bubble in 2000 and the financial crisis in 2008 [4][5]. - The current market environment is characterized by a dissonance between the fervor for AI and the rising demand for risk aversion, indicating a potential for irrational collapse following a period of rational exuberance [5][24]. Group 2: Risk Management Insights - The article emphasizes the need for a robust risk framework to navigate the current chaotic market conditions, as highlighted by Professor Li Xianglin's upcoming course aimed at equipping participants with essential skills for risk assessment and management [8][25]. - The course will cover the construction of risk factor models, risk prevention and early warning systems, and strategies for asset allocation during turbulent times [27][28]. Group 3: Professor Li Xianglin's Background - Professor Li Xianglin has a distinguished career in financial risk management, having worked at major institutions like Citigroup and Barclays, where he developed the Gaussian Copula function, a foundational model for pricing credit derivatives [11][22]. - After the 2008 financial crisis, he shifted focus from financial innovation to risk governance, contributing to the Basel Committee and advising key financial regulatory bodies in China [13][23]. Group 4: Course Objectives - The course aims to help participants understand how financial risks are generated and to develop a framework for identifying and responding to risks, rather than merely predicting opportunities [34][35]. - It will also address the psychological aspects of market behavior, emphasizing the importance of maintaining independent judgment amidst market euphoria and panic [30][34].