AI for Finance

Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance.

Including original research, the book explains the impact of ignoring computation in classical economics; examines the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists; and introduces Directional Change and explains how this can be used.

To finance students and practitioners, this book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact. This includes algorithmic trading, forecasting, risk analysis portfolio optimization and other less well-known areas in finance. Trading depth for readability, AI for Finance will help readers decide whether to invest more time into the subject.

金融學生和從業人員可能會問：機器能學到所有東西嗎？人工智慧能幫助我嗎？計算機科學學生或從業人員可能會問：我的哪些技能可以貢獻於金融領域？在金融領域應該注意哪些方面？本書旨在回答這些問題。不需要對人工智慧或金融有先備知識。

本書包含原創研究，解釋了在古典經濟學中忽視計算的影響；探討了計算機科學與金融之間的關係，並指出經濟學家和計算機科學家之間可能存在的誤解；介紹了方向性變化並解釋了如何應用。

對於金融學生和從業人員，本書將解釋人工智慧的潛力以及其限制。它將涵蓋知識表示、建模、模擬和機器學習，解釋它們的工作原理。對於計算機科學學生和從業人員，本書將介紹人工智慧在金融領域中產生影響的應用。這包括算法交易、預測、風險分析、投資組合優化和其他在金融領域中較少知名的領域。《AI for Finance》將幫助讀者在可讀性和深度之間做出投資更多時間的決定。

Edward P. K. Tsang is a retired professor and a freelance consultant. With a first degree in finance and a PhD in AI, he has broad interests in constraint satisfaction, optimization, AI and finance.

Edward P. K. Tsang是一位退休教授和自由顧問。他擁有金融學士學位和人工智慧博士學位，對約束滿足、優化、人工智慧和金融等領域有廣泛的興趣。