Security and legal compliance are the topics most small business owners avoid until something goes wrong. Pallen acknowledges this right away in Chapter 11 of AI for Small Business. He says he doesn’t have endless funds to throw at lawyers and cybersecurity experts. And most small businesses are in the same boat: either big enough to hire the right people or small and vulnerable.
Book: Structured Finance and Insurance: The ART of Managing Capital and Risk Author: Christopher L. Culp Publisher: Wiley Finance, 2006 ISBN: 978-0-471-70631-1
Book: Structured Finance and Insurance: The ART of Managing Capital and Risk Author: Christopher L. Culp Publisher: Wiley Finance, 2006 ISBN: 978-0-471-70631-1
In the previous chapter, we learned how to allocate money between risky and safe assets in continuous time. The answer was clean: hold a constant fraction in stocks and rebalance. But that result assumed the world follows a smooth lognormal random walk with no sudden jumps. What if you know that a crash could happen at any moment? Not a small dip, but a real crash, like October 1987. Chapter 67 of Wilmott’s book, written with Ralf Korn, tackles exactly this question. The answer is no longer a constant fraction, and the way the optimal allocation changes over time matches our intuition perfectly.
We talked about Value at Risk (VaR) earlier in the book. You know the concept: estimate how much you can lose from your portfolio over a given time, with a given confidence level. Cool idea. But where do you get the actual numbers? Volatilities, correlations, credit data? Chapter 42 is about two systems that try to answer that question: RiskMetrics and CreditMetrics. Both came from JP Morgan, and both became industry standards.
Any smart investor, whether a billion-dollar bank or a retiree with a savings account, should know the answer to one question: how much could I lose? Chapter 19 introduces Value at Risk (VaR), the industry standard for answering exactly that.
The fourth and final pillar. If the first three pillars are about finding opportunities and taking positions, this one is about not losing your shirt.
Chapter 8 opens Part Three of the book, titled “The New Investment Technology.” We’re leaving behind the debate over whether analysts can predict stock prices. Now we’re entering the world of academic theories that actually changed how professionals invest.
In Chapter 3 of Stock Market Cash Flow (ISBN: 978-1-937832-48-3), Andy Tanner finally lays out the big framework. The four pillars of investing. Everything you’ll ever learn about stock investing fits into one of these four buckets. And once you see them, you can’t unsee them.
Chapter 9 is the fun one. After eight chapters of yield curves, credit derivatives, and inflation swaps, the authors decided to end the book with something completely different: a collection of trading wisdom organized from A to Z.
And that’s a wrap on “Hedge Fund Analysis” by Frank J. Travers.
Over the past 20 posts, we went through the entire book, from the history of hedge funds all the way to the final scoring model. Here’s what I think you should take away from all of this.
Chapter 10 opens with a Warren Buffett quote: “Risk comes from not knowing what you’re doing.” Hard to argue with that. Travers uses this chapter to walk us through the risk due diligence process, and honestly, some of the findings are pretty eye-opening.
Last time we covered what arbitrageurs are and why they matter. But here is the thing: knowing that arbitrage exists is very different from understanding how hard it actually is to pull off. This second half of Chapter 17 gets into the specific strategies, the risks, and the spectacular ways arbitrage can go wrong.
Chapter 5 of Hilpisch’s book is called “Normative Finance.” And it opens with a quote from Fama and French admitting that the CAPM is built on “many unrealistic assumptions.” That’s a bold way to kick things off. Basically saying: here are the theories that shaped modern finance, and by the way, they don’t quite match reality.
This is Part 1 of our retelling of Chapter 3 from “Trading the Fixed Income, Inflation and Credit Markets: A Relative Value Guide” by Neil C. Schofield and Troy Bowler (Wiley, 2011, ISBN: 978-0-470-74229-7).
Chapter 6 of The Hedge Fund Book is all about due diligence. Basically, it is the homework you do before handing someone your money. And after Madoff, after LTCM, after Bayou, everyone agrees on one thing. That homework was not being done properly. This chapter shows what good due diligence looks like and what happens when people skip it.
At this point in the book, we have collected the basic info from the hedge fund manager, done an initial review, and had a phone interview. Now comes the numbers part. Chapter 6 of “Hedge Fund Analysis” by Frank J. Travers is about crunching performance data, and it is packed with formulas and statistics.
Chapter 4 of The Hedge Fund Book is called “The Shooting Star.” And the title tells you everything. Some hedge funds grow super fast, look amazing for a while, and then crash. Like a shooting star. Bright, quick, gone.
Chapter 3 kicks off Part Two of the book, and this is where things get practical. We are done with the history lessons and strategy overviews. Now Travers rolls up his sleeves and shows us how to actually evaluate a hedge fund step by step.
So you want to know if a private equity fund is actually good? Turns out, that’s way harder than it sounds. There is no stock ticker refreshing every second. No public quarterly earnings call. You are stuck with imperfect tools and incomplete data. Welcome to Section 3.3 through 3.5 of Demaria’s book.
There are somewhere between 8,000 and 10,000 hedge funds out there. Let that sink in for a second. Even if you had infinite money, how would you figure out which ones are actually good?
I just finished reading “Hedge Fund Analysis: An In-Depth Guide to Evaluating Return Potential and Assessing Risks” by Frank J. Travers, and I want to break it down for you in a series of blog posts.