No One Would Listen: A True Financial Thriller by Harry Markopolos (i wanna iguana read aloud .txt) π
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- Author: Harry Markopolos
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We had a limited number of family members; so to eliminate fraud we had to rely on professional management, using the most advanced computers available at that time, to manage inventory. We had formulas for the components that went into every order: the amount of fish, chicken, shrimp, and clams. Every portion was controlled by size. I learned accounting in those restaurants. We continually matched our inventory to our sales and in that way could determine where our shortfalls were. Our goal was 3 percent waste. We wanted some waste, and some leftovers, because at the end of the night if you donβt have waste it means youβve given your customers cold fish or spoiled shrimp that should have been thrown out. Too little waste meant you were not providing a quality product; too much waste meant there was theft.
When I discovered more than 5 percent waste in my district, I began examining the numbers. The numbers told me that something was fishy in one of our fish and chips stores. I appreciate mathematics, and I knew the answer was in front of me; I just had to be smart enough to find it. I enjoy watching the choreography of the numbers. There is a certain satisfaction I get from it. I wasnβt always that way; in seventh and eighth grades I struggled with math and needed a tutor to lead me through algebra. In high school I excelled in math and enjoyed it. I studied finance in college and had terrible calculus teachers. They were PhDβs who didnβt know how to teach. I couldnβt understand them, and I dropped the subject three times. I finally hired a PhD student in physics to tutor me, and eventually I was doing differential equations. I turned out to be a natural in math.
More than a natural, in fact. Iβm a quant, which is the slang term for a quantitative analyst. Basically, that means I speak the language of numbers. Numbers can tell an entire story. I can see the beauty, the humor, and sometimes the tragedy in the numbers. Neil Chelo, a member of my Madoff team and a close friend, describes quants as people who conceptualize things in the form of numbers. As he says, quants look at numbers and see associations that other people arenβt even aware exist, and then understand the meaning of those associations in a unique way. A lot of my friends are quants. Neil is a quant; he can be obsessive about balancing not only his monthly bank statements, but even his credit card billsβto the penny. Quants are nerds and proud of it.
I look at numbers the way other people read books. For example, obviously computers are pretty darn fast doing math and calculating the value of derivatives, but even today there are certain calculations that are so math intensive that even a computer can choke on them. Occasionally a situation arises in which there is a second derivative, called gamma, which is the rate of change in the first derivative, delta. Donβt try to understand this calculation, unless you intend to trade options. Youβll never need to know how to do it and there is no test at the end. And you certainly wonβt need to know it to understand how Bernie Madoff successfully ran his worldwide Ponzi scheme for decades. Bernieβs fraud was much less sophisticated than that. But in those situations prices can move literally at an infinite rate. A computer canβt track it very quickly. I can. After working in the financial industry for several years I could calculate those prices faster than a computer. Generally there were a couple of times every year when I had to throw out the computer and look at the price of a stock or the market and calculate my own option prices in a few seconds. In one of those situations, my ability to do the calculations rapidly and correctly could salvage our investment or even allow us to make a lot of money. Actually, it was that same combination of ability and experience that enabled me to look at the returns of Bernie Madoff and know almost instantly that his claims were impossible.
It was my ability to understand the numbers that allowed me to catch the thief in my fish and chips store. I started by inventorying every shift for a week or two, which allowed me to pinpoint those shifts on which the thefts were occurring. That allowed me to identify the suspects. Finally I determined that there was only one person working all those shifts. Once I knew who the thief was, I was careful not to catch him. He was putting food in a shopping bag and carrying it out to his car. If I had caught him doing it I would have had to fire him, which probably would have meant paying unemployment. The amount of money involved was too small for law enforcement to become involved, but significant for my business. So rather than firing him, I didnβt say a word. Over time I just cut back his
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