李勉群（Charles M.C. Lee），斯坦福大學商學院Moghadam Family管理學講席教授與會計學教授，長期緻力於基本麵量化和投資者行為的教學、研究與實踐；在會計學、金融學和經濟學領域的頂級學術期刊上發錶瞭大量關於量化投資、行為金融和權益估值方麵的論文，為相關學科領域做齣瞭巨大貢獻。

蘇子英（Eric C.So），麻省理工學院斯隆管理學院經濟學、金融學和會計學Sarofim Family Career Development副教授。研究興趣主要包括權益估值、資産定價、套利限製和市場微觀結構等，重點關注影響市場價格信息含量的因素和機製。

ALPHANOMICS: The Informational Underpinnings of Market Efficiency is intended to be a compact introduction to academic research on market efficiency, behavioral finance, and fundamental analysis and is dedicated to the kind of decision-driven and prospectively-focused research that is much needed in a market constantly seeking to become more efficient. The authors refer to this type of research as Alphanomics, the informational economics behind market efficiency. Alpha refers to the abnormal returns, which provide the incentive for some subpopulation of investors to engage in information acquisition and costly arbitrage activities. Nomics refers to the economics of alpha extraction, which encompasses the costs and incentives of informational arbitrage as a sustainable business proposition. Some of the questions that are addressed include: • Why do we believe markets are efficient? • What problems have this belief engendered? • What factors can impede and/or facilitate market efficiency? • What roles do investor sentiment and costly arbitrage play in determining an equilibrium level of informational efficiency? • What is the essence of value investing? • How is it related to fundamental analysis (the study of historical financial data)? • How might we distinguish between risk and mispricing based explanations for predictability patterns in returns? The first two sections review the evolution of academic thinking on market efficiency and introduce the noise trader model as a rational alternative. Section 3 surveys the literature on investor sentiment and its role as a source of both risks and returns. Section 4 discusses the role of fundamental analysis in value investing. Section 5 reviews the literature on limits to arbitrage, and section 6 discusses research methodology issues associated with the need to distinguish mispricing from risk.