The profits of listed companies are not simply the result of cash inflows and outflows, but rather the product of revenue recognition, cost allocation, and accounting estimates working together. Reasonable accounting judgments can more accurately reflect a company's operating conditions, but overly optimistic estimates, aggressive revenue recognition, and one-off items may also cause book profits to deviate from true operating performance. This course will establish a financial report risk identification framework across five dimensions—earnings quality, revenue recognition, assets and expenses, cash flow, and audit signals—to help learners detect anomaly signals, understand their underlying causes, and verify them through multi-period data, peer comparisons, and financial statement notes.
隨著 Real World Assets (RWA) 的迅速發展,傳統金融與 Web3 加速融合,股票代幣已成為全球數位金融的核心發展方向。透過區塊鏈技術,股票資產突破傳統投資模式的限制,實現與數位資產生態、穩定幣及鏈上金融服務的深度結合,為全球投資人帶來更開放、高效與彈性的投資體驗。本課程將系統化講解股票代幣的背景,深入剖析鏈上股票的運作機制,探討全網投資模式的轉型,並解析數位金融如何重塑未來資本市場。
本課程將從 AI 與金融融合的發展趨勢出發,系統理解智能投資系統如何逐步改變傳統資產配置邏輯。隨着數據規模擴大、市場結構複雜化,以及 AI 技術快速進步,金融市場正在從「經驗驅動」走向「數據與模型驅動」。課程將結合量化模型、鏈上數據、AI Agent 與智能交易生態,拆解 AI 如何重新定義投資研究、風險管理與資產配置流程。通過完整的框架學習,你將更深入理解未來金融體系與自主投資決策系統的發展方向。