Up until now in Wilmott’s book, we have been hedging everything. Buy a derivative, hedge with the underlying, pocket risk-free returns. Banks love it. But not everyone plays that game. Fund managers buy and sell assets trying to beat the bank rate. They take risk on purpose. Chapter 18 is about doing that intelligently.
Chapter 9 of A Random Walk Down Wall Street opens with a quote from George Stigler: “Theories that are right only 50 percent of the time are less economical than coin-flipping.” That’s a warning shot. Malkiel is about to walk us through some fancy academic models. And then he’s going to tell us they don’t quite work the way everyone hoped.
Book: Financial Markets and Institutions, 11th Edition Author: Jeff Madura Publisher: Cengage Learning, 2015 Series: Chapter 11 Review
How much is a stock actually worth? That is the central question of Chapter 11. And the honest answer is: it depends on who you ask and what model they use. Madura walks through the main valuation methods, explains how risk gets measured, and then tackles whether markets are even efficient enough for any of this to matter.
The second half of Chapter 5 in Artificial Intelligence in Finance covers three theories that shaped how Wall Street thinks about investing. Mean-Variance Portfolio theory, the Capital Asset Pricing Model, and Arbitrage Pricing Theory. These ideas have been in every finance course since the 1960s. Hilpisch walks through them with actual Python code instead of just abstract math.