Audio Interview – Peter Kovac on High Frequency Trading – Market Making, Profits, Front-Running

I recommend listening to the audio version of this interview…It’s the best part!

 

Michael:          Hi, my name is Michael, and I used to be a hedge fund manager.

Peter:              My name is Peter Kovac, and I’m the author of Flash Boys: Not So Fast.

Michael:          Flash Boys: Not So Fast came out recently on Amazon[1] and is of course available, and is a response to Michael Lewis’ book named Flash Boys in which I’d characterize you as disturbed enough by his version of high-frequency trading or algorithmic trading to try to correct the record, which you have done, and I have reviewed. I just thought it would be interesting if we could talk through some of the issues.

I’m assuming for the purposes of this that people are familiar with the broad outline of Flash Boys. The hero of Flash Boys is this guy Brad Katsuyama and he doesn’t end up as a hero in your retelling. I describe him – kind of paraphrasing your words – as he’s either a dupe for not really understanding how equities trade in 2012, or he’s mostly a salesman. Is this a correct characterization of your view of him, or am I being overly aggressive?

Peter:              Michael Lewis kind of channeled the entire story of Flash Boys through him. And so I’m really responding to the way that Lewis has portrayed Katsuyama. In Lewis’s portrayal, it does kind of seem like he’s a dupe. He seems like the guy who is the head of a major equities desk,  yet apparently is unaware what the fee structure is across the market and he has to Google it. He makes very large trades that have huge price impact on the market, and then is unable to explain them. So it really seems to me like it is Michael Lewis who set him up this way and I’m just responding to how he’s been portrayed in the book.
Michael:          Okay, I’m not an equities guy, so I learned stuff from both Michael Lewis’s book about how the equity market does or might work, and I learned stuff from your book about how the equity market does or might work. I’m assuming lots of people listening to this know even less than me. But what’s the traditional role of a guy like Katsuyama or a legacy Wall Street equity trader? Can you describe that a bit before we get to what is “algorithmic” or how HFTs or high-frequency traders get involved?

Price Impact

Peter:              Sure. Let me describe specifically the role that Lewis has put Katsuyama into here, which is to take a large order a client has, and the client says this order is too large for me to handle myself. I don’t have the specialized expertise. I don’t know how to put that order into the market, and not create a huge price impact. Price impact is a really fancy way of saying what you learned in Econ 101.

In Econ 101 you learned that if you have a big change in supply or demand it’s going to affect the price. And so if you have a really big order you want to place in the market, obviously if you’re going to be selling a lot of shares, the market is going to drop in price as you’re selling those shares. If you’re buying a lot of shares, the demand is increasing and the market is going to go up.

If you aren’t doing this every day of your life, there’s a chance you’re going to screw it up and not do it as well as it could be done. The function of a trader like Katsuyama in Flash Boys is to take some institution or individual’s large order, and as Lewis says, work on it for hours in the market to try to put a little bit of it out now, a little out later, trying to minimize the impact on the supply-and-demand dynamics so that way you can get a price that’s fairly reasonable.

Michael:          Okay, so we would call that maybe block trading by Wall Street. They have a big block of shares they need to sell into the market without moving the market. And he found or at least as Lewis describes he could no longer do that in 2011 or 2012 when he’s reporting on this story, because prices react extremely quickly, in ways that suggest there’s some kind of conspiracy or the markets are not as they a ppear when he tries to trade. Is that an accurate description of Lewis’s version?

Peter:              I think so. I think he makes a couple of trades and he sees the market reacting to his trades. Happy to go into those trades. He kind of explains why it’s very reasonable the way the market reacted. But he sees the market react to those trades, and then suddenly instead of being the master of price impact, the master of trying to work these orders over many hours, he says I’m the victim of this price impact. He looks to blame someone.

Michael:          Can you tell me in your words what role high-frequency trading firms – because that is your background – interact with somebody like Katsuyama or the rest of the market?

Market Makers

Peter:              I can speak to how my firm would have interacted with him. My firm was an electronic market-making firm. What that means is at any given moment we stood ready to buy and to sell any particular security. Whenever you say I want to go out and buy shares of IBM, you may have wondered “It’s funny that when I go out to buy some shares of IBM there’s someone out there who wants to sell them to me at the exact same time. That’s very convenient.:

The reason there is, is there’s a function in the market called a market maker. That person’s or firm’s job is to provide those prices on a continuous basis. And the way market makers make money is if they’re saying we’re going to buy shares of IBM at $164 and we’re going to sell them at $164.01. Then if the market doesn’t move all day long, and equal numbers go and buy and sell, then I’ll make a penny every round trip. That’s how they make their money.

ibm

Someone like Katsuyama who then comes into the market and says today I have to buy three million shares of IBM will place an order in the market to buy and we would have orders in the market that are willing to sell. So when his orders come into the market to buy, they would interact with our sell orders. We would never know we were interacting with him. It’s completely anonymous. We would never see his order. We would never know how much he wanted. We would simply get a report back telling my firm you placed an order saying you were willing to sell 10,000 shares. And someone has bought 10,000 shares from you.

We might say great, you know what? We’re going to place another order to sell 10,000 shares because that’s what we do. We put in another order to sell 10,000 shares and then maybe he comes back again and buys 10,000 shares from us. He would be doing that throughout the course of the day, from us and many other firms who are market makers. By the end of the day he has completed his transaction, and hopefully we were able to buy those shares back at a slightly lower price. And we didn’t lose our shirt on this whole transaction.

Michael:          I’m familiar because I sat on a trading desk of a bond desk, which is not the same as stocks, but the way the bond desk works is just as you’re describing. We’re trying to buy it at one price and sell it, it being the bond or the stock or the security, slightly lower than where we sell it. And we don’t have a fundamental view on whether that share or that bond is going up or down. We’re just trying to make a tiny difference between where we buy it and sell it. That’s what I understand is a market maker.

I think that you’re describing that what you do is basically the same thing. Although in Lewis’s telling of it you’re doing something fundamentally different. Maybe that’s kind of the heart of the difference between Lewis’s version of high frequency trading and your version. Am I getting that right, that what you’re describing is exactly like a faster and narrower spread basis, but it’s exactly like what I witnessed and participated in, as a bond trading market-maker. Is there anything fundamentally different about what you guys are doing?

Peter:              Not particularly. One of the differences is that in the US equities market, unlike the bond market, there are even more constraints on the price that anyone can transact at in the market. For example, in the bond market different brokers might give you different prices. Where in the equity market, you as a customer, by law, are entitled to get the best price in the market. So it makes it extremely competitive and it also protects the consumer.

One distinction I would make with what Michael Lewis is saying is that he doesn’t actually distinguish among the many different types of trading strategies, so broadly looking at it, he never actually defines high frequency trading. He kind of casts a really broad net and if you look at that broad net, you’re basically saying high frequency trading is more of a technology or technique. It’s almost like saying e-commerce.

It sounded like it was a very specific label in 1996, but now pretty much every single company, even your brick-and-mortar boutique down the street has an ecommerce profile. Same thing with high frequency trading, where guess what, a lot of people are trading with computers. A lot of people are trading rather frequently.

There’s a whole variety of different strategies and approaches that are in the high-frequency trading world. Lewis kind of blurs the lines and smears them together and as a result he comes out with a message saying high frequency trading is bad.

But at other points in his book he says actually high frequency trading is good, but just a couple different aspects of it. So what I’m referring to here is market making. It’s what I know best. And I don’t think any credible person in the market would ever say that market making is a bad business. Althought, Lewis does make some allusions to market making having some nefarious aspect, but I’m not really sure what his point is there. Mainly, he’s targeting the high-frequency trading industry with his front running allegation.

Michael:          What you’re saying is one version of high-frequency trading is market making, trying to make the tiny spread between where you buy it and sell it, and essentially the service is providing liquidity to buyers and sellers, and the business model is to buy slightly lower than you sell.

But I think you’re also saying there’s an entire world of other strategies which involve buying and selling securities quickly, that aren’t providing liquidity in that same way.

Because some of the conspiracy ‑‑ the credible part of the conspiracy theory that Lewis is talking about rests on the idea that hardly any of us who are not in the world of high frequency trading can even grasp what the strategies are. Can you give an example of some strategies without giving up the secret sauce of your own firm, but give us something concrete that we can think about?

Peter:              Would you like a market-making strategy or something beyond that?

Michael:          Market making I’m going to describe as buy it here, sell it here plus a tiny bit.

Peter:              I’m most familiar with market-making strategies but I can kind of speculate on something else. Let’s say you had a strategy where you say whenever I see FedEx is increasing in value by 1% over the course of a day, then I’m going to buy UPS. That’s kind of a pairs type strategy where you’re trading two related companies and you’re saying based on one of these companies moving, another company is going to move.

fedex_ups_pairs_trading
An example of a pairs trade

It’s not necessarily a market-making strategies but it’s one where you’re saying I think that this other component of the market should move because its leading indicator is moving as well.

Michael:          The theory being FedEx and UPS are essentially in the same business. What’s good for FedEx is probably good for UPS. And FedEx is moving without UPS responding, so the logical thing is UPS should be moving in that same direction.

Peter:              Correct.

Michael:          The frequency with which you would need to purchase UPS, we’re doing this on a millisecond basis or a minute basis or over the course of an hour?

Peter:              That’s a great question. Let’s say you have this theory that FedEx should always be worth about two times UPS exactly. As soon as you see that it’s worth 2.01 times you’re going to buy UPS because UPS needs to increase in a bit of value to be on par with FedEx. In that example you’ll be watching and every time you see FedEx pick up a little bit more you say now I need to buy UPS. Or if FedEx kicks down you say FedEx is worth 1.99 [times] so now let me sell some UPS and kind of put that back into balance in terms of my portfolio. You wouldn’t wind up doing a lot of trades. But in the end ‑‑ this is a classic strategy that Wall Street has been running since the last century.

Michael:          But in the case of algorithmic trading, it’s just sped up, and it could be done in the space of less than a second, in milliseconds?

Peter:              Exactly and it’s for much smaller quantities. Instead of someone saying I’m going to  wait until they diverge by 5%, and then I’m going to make a big bet on this, which is the way you would have seen it play out on Wall Street, say 30 years ago. Now you have someone saying I’m going to make a lot of smaller bets, when there’s a smaller divergence.

The advantage from a trading perspective is that a lot of these smaller bets you’re less likely to lose a lot of money if your bet goes south. For the market, you could argue that it’s keeping these prices a little bit more closely aligned because you’re doing more frequent adjustments rather than someone doing a large adjustment on a periodic basis.

Profitability

Michael:          Which brings up one of the examples I really liked about your book, which is a response to the claim from high-frequency trading critics, the fact that these firms are not unprofitable enough. Or that is to say that on almost every single trading day they’re reporting profit, which in the normal world you go “that’s impossible!” Nobody is that good without there being a trick. Show me the magic trick or the cheating. That’s the allegation.

large_numbers
Law of Large Numbers

What I really liked about one of your responses to that was here’s why it’s not cheating: We’re doing 1,000 trades, and even if we only have a 51% chance of making some money, when you apply the law of probability over 1,000 different trades, when you make money 51% of the time and lose money 49% of the time, you’re going to end up profitable pretty much every single time. I’m probably butchering your language around that, but maybe you can express that better than  me. That was one of the strongest arguments in favor of consistent profitability, was the law of large numbers and probabilities applied to small trades done many times.

Peter:              Thank you. You characterized that perfectly. Interestingly enough, just last week, there was a professor from the University of California Santa Cruz who did a research paper that was highlighted in the Wall Street Journal, where he went through one of the firms that Lewis had singled out for this winning record. He went through all their filings and said it’s actually incredible that they lost money on that day, given the law of large numbers.

As you said, the law of large numbers does explain this and it seems counterintuitive at first, but the way I like to explain it to people is if I think about baseball. Over the past 22 years the Yankees have won just 59% of the time. It’s a bit better than even but not much better. If you win slightly more often than you lose and you do it consistently for all of 162 games in the season, you’re likely to come out ahead. They’ve only had one losing season in the past 22 years. That’s kind of remarkable. It’s just 162 times with a tiny bias toward winning, and it comes out to a winning season every time.

The opposite is also true. During the same time the Pittsburgh Pirates won only 45% of the time. They had 20 losing seasons out of the past 22, applied over 162 games.

Now, if you’re trading not 162 times a day but 10,000 times a day, 100,000 times a day, it becomes more and more inevitable that you’re either going to be guaranteed to make money or guaranteed to lose money. The losing money is also another interesting side of the discussion because any firm that is around right now, who is doing this, and is doing it successfully, by definition is making money.

If they had a slight bias to losing money on their trades, they’re already gone. And that’s happened to a number of firms. Some of the people you’ve heard of because they were well known at one point and then they started to lose just slightly more often than they won, and they’re gone. The firms you hear about now of course are going to be the ones with consistent results.

Lastly, there’s another way to think about this, which is that if you are more of a service provider, as opposed to a speculative risk taker, then it also makes sense. If you’re a market maker you’re getting paid for the service of making a market. You’re not speculating on the markets and so the example I gave is if your entrée into the art world is selling greeting cards, you’re selling cards. You’re going to make a penny or two per greeting card. But you’re not going to really lose money. It’s greeting cards, not a high-margin business.

If you are an art investor, you may spend a couple million dollars on a piece of art. It may turn out that that piece of art in ten years is the hottest thing on earth. And now it’s worth 20 or 30-million dollars and you made a huge killing. Or it may turn out that it’s not worth anything at all. It’s a different business model.

When you’re comparing the results of an electronic market maker who’s doing the service repeatedly, 100,000 times a day, million times a day, whatever it may be, versus someone who is making multi-million-dollar bets on obscure derivatives, you’re going to come up with different results.

Michael:          Makes sense. I’d like to return to your example of the Yankees. As a Red Sox fan that hurts. I’d like to say A-Rod was a cheater. And don’t mention Big Papi or Manny Ramirez and their PED scandals.

Peter:              Definitely no Bucky Dent.

Michael:          And please don’t mention Bucky Dent.

bucky_dent_aaron_boone
Bucky Dent and Aaron Boone. F- those guys. Somehow they must have cheated.

Front Running

Michael:          On the issue of cheating, Lewis’s main allegation is that a main part of profitability of high-frequency traders is you’re front running and front running is not super easy to define, but I’ll take a stab at it. You can correct me. It’s in the role of market maker a customer comes in to trade and you use the information you gain from their sale or purchase to anticipate that that security is going to respond to that flow. You can either buy ahead of them and sell it to the customer at a higher price or sell ahead of them and purchase from the customer at a lower price. In any case, using the information of the customer flow to make profitable trades. I don’t know if that’s the only definition but that’s my words for front running.

Lewis says this is the main business of high-frequency traders. They’re getting information in a millisecond that’s coming into the exchanges. They’re responding to it quicker than anybody else can. Getting in front of the customer flow, and making guaranteed profits. Tell me why this is wrong.

Peter:              First, I think you explain what front running is pretty accurately. Sadly, it did happen in the past and it can still happen today. But in a very different way, and that’s when a broker has a customer’s information on their order. And that particular broker who received the order trades ahead of the customer because they have that information.

What used to happen was the broker would get that information. They would look at the price and quantity on the customer’s order. And then they would go out and trade in the market for their own account, buying or selling ahead of the customer. And then they would turn around and then from their own inventory sell those shares back to the customer at a higher price.

The key things that they relied upon there was the ability to see the price and quantity of the customer’s order, and to be able to give the customer a different price than what the market price was. Those are the key things that they needed.

Lewis doesn’t try to explain how those elements could possibly be present in the current market. And the reason he doesn’t try to explain it is it’s probably because it’s impossible to do so. So you can’t explain how someone is determining the price and quantity of the shares you desire. In today’s market, the orders are anonymous. So if you submit an order to your broker, and that broker then submits it to an exchange, no one in the rest of the market ever knows the quantity of your order or the price of your order.

Even if your order trades against the market maker, that market maker still does not know what the price and quantity on your order were. All they receive is a report that says you transacted this many shares. That’s it. They don’t know what the price of your order was. They don’t know the quantity on your order. That information is never available to them.

As a result, they never have the information that will be a prerequisite to any front-running scam. Beyond that, the issue of manipulating the price to give the customer a different price in the market is also not possible. When Reg NMS came into effect, we have this requirement that the customer must get the best price that is displayed in the markets.

reg_nms_chronology
Evolution of Reg NMS and HFT

The only way someone can change that price is by buying every single share in the market. So just to be very specific here; if you place an order to buy Microsoft at $49, and Lewis is alleging your front runner is going out there and is going to buy all the shares at $49 ahead of you, and then sell it back to you a penny higher.

They would have to go into the market and on every single exchange buy every single share offered. They may wind up buying 30,000 shares, a million shares, in order to allegedly front run your order of 500 shares. That’s the only way to possibly move the share price. Obviously, that doesn’t make any sense. It’s ridiculous.

Further, if they did move the share price, guess what? There’s already another million shares behind that at the new price point, so they would be the ones selling them back to you. Someone else is already first in line to sell them back to you. It’s impossible for a would-be front-runner to be able to manipulate the price.

It used to be possible when the brokers had more discretion on the pricing. But in today’s market it’s simply not possible. And Lewis never took the time to understand how the market works, what these rules are about price protection in the market, which makes his allegations completely impossible.

I guess the last thing I would say is that he kind of justifies the whole thing by saying you can’t really prove or disprove this because the data doesn’t exist. It couldn’t exist to prove or disprove. And that’s completely false. The data is out there.

We would have a homework assignment for our trainees to look at a particular trade that a strategy did in the market, and explain exactly how the market reacted; what happened after it; what trades occurred after it. All the data is there.

You can get it from a Bloomberg terminal, you can get it from your own systems. This is the industry in the world that is the most awash in data, and it’s completely ridiculous to say that one cannot find any data to substantiate his claims. The only explanation that makes sense for that is that there isn’t any data to substantiate his claims.

Michael:          How about this; why do large buy-side firms believe the thesis? That if you’re Putnam or Fidelity and doing large-block trading, do they believe that high-frequency trader are front running them or do they not believe that? Or are they not sure?

Peter:              I think there’s no single answer because I think there’s a variety of opinions. That’s something that is very interesting and Lewis kind of glosses over that. For example, Vanguard came out and said all of these changes from electronic markets are good. We’ve seen that our price to complete a trade has decreased by half a percentage point. It’s incredible for them to say this is how much more efficient the markets are nowadays.

vanguard

The SEC has estimated that for institutional investors, the people you’re talking about, their cost has fallen by about 40% on their trades since 2003. That’s the cost of actually transacting in the market, not the processing after the fact. Literally, the pricing they’re getting in the market versus what they desire has improved by that much. I think on the whole the industry realizes the benefits of the current market structure, and of electronic market makers.

You do have people who are complaining and I think that’s unfortunate, but it’s also understandable. People do have a tendency to blame someone else when things go wrong. It’s very convenient when you take a little risk on your trade, and it goes against you ‑ it’s much more convenient to blame someone else than it is to take responsibility for it. It’s kind of the mantra on Wall Street.

flash_boys_not_so_fast

Michael:          Yeah, if things go badly it’s the fault of the market. If things go well, it’s because of my brilliance for sure. That’s the only way to get paid.

[1] Actually, the book came out almost a year ago at this point, but I have been slow in uploading this interview! My apologies all around.

Please see related posts:

Book Review of Flash Boys by Michael Lewis

Book Review of Flash Boys Not So Fast, by Peter Kovac

Book Review of Inside The Black Box, by Rishi Narang

Are HFTs a force for good?

What D&D Alignment are HFTs?

and upcoming audio interviews:

with Peter Kovac, Part 2 – Dark Pools, IEX, Disruption, Blowups

and Peter Kovac Part 3 –  Cheating and Morality

 

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High Speed Trading – And DandD Alignments

half_elf_bard
Apparantly this is me in D&D, except I think minus the pony tail

I’m trying to figure out where electronic and high frequency trading firms fit with respect to Alignment, and how I feel about that.

Alignment

I mean “Alignment” the way a Dungeons and Dragons (D&D) player means it (full disclosure: I’m a Lawful Good Half-Elf Bard in real life. I mean, in the game. I mean, outside of my writing. Whatever, you know what I mean.) All D&D characters are either Good, Neutral, or Evil, and act either Lawfully, Chaotically (law-breaking), or Neutrally (in between).

So, on our quest to understand electronic trading, it is helpful to know which alignments electronic traders fall under, including high frequency traders (HFTs)?

But First: A Definition

Instead of making human judgments about when and how much to trade stocks (or bonds, or currencies, or commodities or derivatives) electronic traders program computers to make those decisions, usually based on some set of conditions that indicate a momentarily profitable opportunity. Electronic, or ‘algorithmic’ trading, is about 25 to 30 years old. High frequency trading is a subset of electronic trading, except done at a humanly unimaginable pace – like 1,000 to 10,000 buy or sell orders per second. High frequency trading is about 10 to 15 years old. In recent years electronic trading accounts for between 50-75 percent of all stock market trading. Like SkyNet or Hal 9000, this naturally makes the humans nervous. But are they good or evil or neutral? [1]

Google_as_skynet
They slyly dropped “Don’t Be Evil” from their corporate motto

Are HFTs Chaotic Evil?

If you read Michael Lewis’ 2014 book Flash Boys the most widely read story about the high frequency trading industry to date – you would develop the strong impression that these firms hew to chaotic evil on the D&D alignment compass.

In Lewis’ story, HFTs operate as predatory sharks attracting unwitting investors inside broker-sponsored ‘dark pools,’ all the better to extract trading profits through quick-strike trading against slow-footed prey. These evil creatures also use ‘spoofing’ subterfuge and aggressive ‘front running’ tactics. I expand on these tactics below.

‘Spoofing’ – in which electronic trading firms send large numbers of false orders to market exchanges, only to cancel them immediately, is a ploy (I admit I can’t explain in plain English exactly how this would work) to manipulate markets, and is clearly chaotic. It’s also illegal, and would lead to enforcement action against any firm doing this and getting caught.[2]

‘Front-running’ – in which an electronic trading firm uses prior knowledge about a customer order to buy or sell ahead of a customer for its own profit is also evil, as well as clearly illegal.[3]

And Flash Crashes

Many blame recent occurrences of “flash crashes” on algorithmic trading. Flash crashes are exactly the kind of mess that chaotic evil-doers would wish on markets.

Increasing the frequency or severity of flash crashes is the most likely way in which electronic trading causes chaotic evil effects. I don’t mean intentionally, but rather as an unintended consequence of numerous market players pursuing their own strategy. Something like: All market signals indicate to the algorithms the need to sell – all at the same time – which becomes a self-fulfilling downward spiral for prices. That type of unintended effect, however, predates the rise of HFTs. The 1987 Crash, for example, stemmed from the rise of ‘portfolio insurance’ that caused many institutions to suddenly need to sell securities, all at the same time, to limit losses. In the absence of real news, prices drop on such rush-for-the-exits stampedes.

On the issue of crashes and market glitches, there’s the not-too-infrequent case of human traders – not only computer traders – doing a bad job of ensuring orderly markets. This happened in August in a high-profile case of the floor trader on the NYSE who halved the value of publically traded KKR, a company whose markets he was responsible for trading, for about 15 minutes, for no apparent reason. The right standard for comparing human trader to computer trader is probably not “error-free,” but rather frequency and severity of mistakes and glitches like this. My point here is that human traders can probably screw up markets just as badly as programmed computers.

Or Lawful Good?

My friend Peter Kovac wrote a book last year – Flash Boys: Not So Fast, as a response to Michael Lewis’ book, in which he argues not only that Lewis got many details of the industry wrong, but perhaps the HFTs should be regarded instead as something like Lawful Good (my words, not Kovac’s.)

I’ll explore some of Kovac’s reasoning in follow-up posts, but for the moment I have in mind what I wish, and perhaps think to be true, regarding electronic traders.

Lawful Neutral

As a Dungeons and Dragons player (as well as a greedy capitalist,) I would hope for Lawful Neutral alignment among high-speed electronic traders. I mean, I don’t expect a trader to be saving the whales or reducing carbon emissions when he or she programs a computer algorithm to buy and sell securities at light speed. Their goals, as for-profit companies, are to make a profit. But I do expect them to always follow the law.

What Lawful Neutral means to me is that as long as they follow the rules – avoid conscious or even unintended evil-doing – then I’m ok with extraordinary profits accruing to electronic traders. That’s because I believe the profits of an algorithmic trading firm will mostly come at the expense of legacy Wall Street trading firms (the “old guard”) which are slower, or which operate at less efficient (meaning, wider) margins. I’ll write more about this next week as well.

 

A version of this post ran in the San Antonio Express News.

Please see related posts:

Book Review: Flash Boys by Michael Lewis

Book Review: Flash Boys Not So Fast by Peter Kovac

Book Review: Inside The Black Box, by Rishi Narang

 

 

[1] Assigning corporate alignments in D&D fashion is not necessarily new. Google’s previous corporate motto “Don’t Be Evil” is a seemingly simple standard, for example, from which to begin to evaluate high frequency trading. I’m not sure Google founders Brin and Page ever played D&D, but let’s just say it’s not unlikely that they know their way around a 20-sided die, right? Also, did anybody else notice Google dropped “Don’t Be Evil” as a corporate motto? Do you think it means what I think it means?

[2] My sense is that while this has happened in the past, it’s not normal market practice among electronic trading firms, any more than spamming is normal market practice among marketing companies. Sort of like: there are spammers, and there are marketers, but these are different types of firms with different business models

[3] Incidentally, front running as a business practice is probably as old as any stock brokerage business, it just happens that speedy trading could make it more easily perpetrated, and more easily hidden, at least for a time. Any firm shown to front-run as a business practice, however, would be fined and regulated out of the trading business.

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On Warranties

warranties_suckI’m the least handy person I know.

The Fourth Law of Thermodynamics in my household states: “Physical objects that appear to be broken, will remain broken through time and space.”

I carry my un-handyness with me through life, including matters having to do with cars. When I came up with a flat rear left tire a few weeks ago on the way to drop off the girls, I rolled into the national-chain tire store a block away from their school. We walked from there.

Tire guy called me a half-hour later. (I will now paraphrase our conversation.)

“Your tire is unfixable, we’d recommend replacing that. We also noticed your two fronts are about three years old, have seen some wear-and-tear, and we are coming up to the fourth-year factory-recommended replacement time. So you should probably have us put new ones on there as well.”

“Ok, how much will that be?”

Now, as I mentioned, I am not handy. This places me at a specific disadvantage when it comes to having people diagnose and fix physical things for me, like my car’s tires. Tire Guy could have used some Walter Mitty-speak (“Uh, sir, we’re noticing the bifurcated invertabrator is missing three hamnails, and we’d recommend slotting in a T-bolt in the five-square”) and I’d probably agree to get those things fixed as well. I mean, how could I argue with him? It sounds legit.

A crucial error

goodyear_tire

But then Tire Guy made a crucial error. He quoted me the price for new tires. It was roughly $90 for one tire, including – he wanted me to know – a very good deal on a warranty, or $270 for three tires, again including a great deal on the warranty, plus labor. That put me all-in around $330.

Ok, that’s a lot, and I don’t know anything, and I knew I’d probably have to agree to that price.

But I do know one big rule of personal finance, which I will now pass on to all of you, and which constitutes the entire purpose of this long-winded tire story:

Warranties, generally speaking, are bad.

“So ok, $330, that sounds like a lot,” I tentatively began, “how much would it be without the warranties?”

“Oh well, you see, that was a really good deal on the warranties,” he began to reply.

“Ok, I get it, but let’s say I want to skip the warranty?

“Let me recalculate here. Um, yeah, it looks like about $385 without the warranty. You see it’s all part of the package deal.” (Please note: $55 bucks more without the warranty)

“No. I don’t see. That’s not right. You can’t offer me something supposedly valuable, like a warranty, and then charge me more when I remove the warranty. Excuse my language, but that’s…”

…And…you’ll have to imagine the classy and stylish way in which I expressed displeasure to emphasize my point.

“Well, let me see here, ok, I suppose I could replace the three tires – without the warranty – for about $315.” (or about $5 less per tire without the warranty.)

More tire warranty details

Now, my finance-guy curiosity took over. I wanted to know more details about this supposedly good-deal warranty.

“If my new tire needs replacement while I’m still under warranty, would it be free?”

“Not free, but it will only cost you only $20 to replace.”

“If I have a warranty with you guys, can I get the tire replaced anywhere else?”

“No, we’d be the only ones to honor the warranty.”

“Ah, I get it, so you want me to pay part of the cost today of the next tire needing replacement, and I have to do the work at your shop, rather than anywhere else where I happen to get a flat or have a problem. So really the point of the warranty is to get me to come back only to your shop?”

“Well, not exactly, but see they do want us to sell these warranties…”

“Forget it. Don’t do three tires. Just replace the one tire, no warranty.” And then I told him the problem of misleading customers – especially gullible and unhandy ones like me – is that customers who lose trust in their service-provider generally don’t come back. That’s a separate issue from a warranty, of course, and a fundamental rule of business, but an important point nevertheless. I will do my darndest to avoid going back there.

Rewinding for a moment, however, to review the personal finance issue of warranties: For most electronic devices and most household durables, most people most of the time would do better to forgo paying for a warranty. It’s a kind of excess insurance-policy that you should avoid, unless special circumstances apply.

Another warranty story

Cd_changer
What even is this thing?

I remember purchasing in the early ‘00s a totally awesome stereo-component: A 100-CD changer (roughly the size of an overseas shipping/railcar container, if memory serves me correctly). The Best Buy salesman really, really, really wanted me to get that warranty. I found it odd that he focused on the high likelihood of my totally awesome 100-CD changer breaking within the next year, as I had not even left the store yet. I declined. I’m happy about that choice, even though of course it broke within three years, because by then Apple had begun to render moot all legacy music devices, with the iPod.

And I know what your next question is:

“What’s a CD?”

 

A version of this post ran in the San Antonio Express News.

Please see related posts:

Audio Interview – Wendy Kowalik on Insurance

Longevity Insurance – Do You Feel Lucky?

Guest Post by Lars Kroijer – Don’t buy too much insurance

On Insurance Part II – The Good, The Bad, The Optional

 

 

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Getting Started – Entrepreneurship

Hugh-Laurie-150x150I wrote recently that starting your own business is the third best way to get wealthy, after inheritance and a lifetime of continuous savings and investment.

But how does one even start a business? What if you’re not ready yet?

The British actor from the TV show House, Hugh Laurie, says:

“It’s a terrible thing, I think, in life to wait until you’re ready. I have this feeling now that actually no one is ever ready to do anything. There is almost no such thing as ready. There is only now. And you may as well do it now. Generally speaking, now is as good a time as any.”

I spent a morning with a friend recently talking about the new consulting business she wants to start. Actually, we had first talked about it a year and a half earlier, but she hesitated then. So this was our second try at her launch.

“But how do I even begin?” she lamented. She felt frozen by all the things involved in starting a business that she doesn’t know yet.

To me, the answers seemed obvious, so we spent 30 minutes outlining the steps to start her consulting business. We made up some pricing. We discussed how to start a simple website. She’ll need business cards. There’s the issue of forming an LLC or just remaining a “DBA.” We talked about where her customers are likely to come from.

The next day, curious to see kind of startup resources my city has – and thinking I might be able to help my friend – I attended a session of “1 Million Cups,”  a kind of entrepreneur-therapy session at Café Commerce 1

liftfund

Each week at “1 Million Cups” two business owners present their ideas as well as their business questions to an audience of fellow entrepreneurs and experts. In a give-and-take session, they discuss holes in their plans, as well as possible plugs for those leaks.

If I were starting a business, or even thinking of starting a business, I’d show up Wednesday mornings for a few weeks at a program like “1 Million Cups,” just to help me get over the hump of getting going.

1-million-Cups-150x150

I’m no stranger to my friend’s dilemma, as I’ve procrastinated for years before beginning important projects. I still struggle with this, pretty much every day.

My main man John Popper from Blues Traveler sings “I think the past, the past is behind us, [it’d be] real confusing if not, but anyway,” and somehow I think that’s relevant too.

Starting a business overwhelms all of us. Smart people, like my friend, realize all the things that she doesn’t know yet about entrepreneurship, and it freezes her, which is too bad.

I’ve written before that entrepreneurship probably requires a healthy dose of ignorance,  because nobody would even bother starting a business if they knew how hard it would be to succeed.

Since most new business ventures fail – the commonly quoted statistic is 80% of new businesses don’t make it past 2 years – we need to encourage and celebrate the startup risk-takers, if only to incentivize them in the face of probable failure. We need to urge them to start now.

A serial tech entrepreneur and fellow alumnus who works with current students at my high school gives a ‘hurry up and start’ message to these eighteen year-olds. If you haven’t started a business by the time you graduate from college, he says, it’s too late. College, he urges, is the perfect time to start a business, with subsidized room and board, flexible work hours, cheap intellectual talent all around you, and a fallback plan when it fails.

I wish somebody had given me that speech when I was in college. His logic for why that’s the ideal time to begin resonates with me.

Of course it’s not actually true that it’s too late, but we all know kids like to be tricked.2

Many of the present-day ‘Unicorns’ – Silicon Valley-speak for tech startups reaching a billion-dollar valuation  – were founded by kids who spent their college years tinkering and hacking away at businesses. Now, founding a ‘unicorn’ isn’t a reasonable goal, but making a living through owning one’s own business is perfectly reasonable for many.

venturelab-300x134

My ten year-old daughter spent two weeks this past summer at Venture Lab, a camp in San Antonio with the explicit promise of inculcating entrepreneurial skills in children. Will that work?

I don’t know for sure. She sure impressed me in presenting her business plan. She and her fellow campers went from idea to prototype to market research to marketing to investor pitch, all in one week. I hope this will lower the psychological barrier to getting started on a business in the future.

My fondest wish is that when the time comes for her to start her real business – whether at age 15, 35, or 65 – that she dives right in with confidence. Will she wait until the time is perfectly right, or until her plans are (sadly) aromatically overripe?

As for the business you’ve been thinking about for a while, how about just starting it right now?

 

 

A version of this post ran in the San Antonio Express News

 

 

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  1.  Disclosure: I do some consulting for LiftFund, the folks who run Café Commerce.
  2. As Jack Handey says, “One thing kids like is to be tricked. For instance, I was going to take my nephew to Disneyland, but instead I drove him to an old burned-out warehouse. “Oh no,” I said, “Disneyland burned down.” He cried and cried, but I think that deep down he thought it was a pretty good joke. I started to drive over to the real Disneyland, but it was getting pretty late.”

Book Review: The Wealth Dragon Way by John Lee and Vincent Wong

Con Artists and Bullies. I have a 4-word review for The Wealth Dragon Way: The Why, The When, & The How To Become Infinitely Wealthy by John Lee and Vincent Wong.

Nope.

Nope nope nope.

That sums up my view of this book. If that sounds redundant, well I’m sorry, but so is their book.

We learn from the introduction that authors Lee and Wong started out as poor children of Hong Kong immigrants to the UK, but through spending money on classes on how to make money from real estate, plus careful readings of Guy Kiyosaki’s Rich Dad, Poor Dad, they each bootstrapped themselves up to a position of giving classes on how to make money from real estate.

This book, one realizes quickly, is a companion to these classes.

Now, I’ll admit from the beginning that theses types of ‘how to make money from real estate’ courses always get my hackles up, smacking as they do of snake oil and hucksterism, similar to Secrets of The Millionaire Mind by T. Harv Eker.[1]

But I plunge onward, hoping for some insights to accompany the salesmanship.

Oh the clichés!

On one typical page titled “The Learning Curve” Lee and Wong serve us inspiring thoughts by Malcolm Gladwell, Bruce Lee, and Rocky Balboa (in particular the Rocky III with Mr. T version). On the next page we read hot takes on Steve Jobs, Sun Tzu, Bill Gates, and Mark Zuckerberg. Is there any cliché they will leave unturned?

In Chapter 8 we learn that fear is holding back many people, and that we all have to overcome our fear.

In Chapter 9 we read stories of people who have suffered from the ‘rat race’ of working for a salary.

In Chapter 10 we get prepped to work hard.

Finally, in Chapter 11, we will learn how to become “Infinitely Wealthy.”

Ideas for Infinite Wealth

The first piece of advice, obviously, is to buy property for rental income. I am not surprised, since these guys are in the ‘classes on how to buy real estate and get rich’ business.

The second piece of advice: Start trading currencies. Oh, no. Please no.

The third piece of advice: Become a niche micro-brand expert, like a mascara specialist via Youtube vidoes. Ok…maybe. I guess?

But perhaps you should read on, because their secrets to building passive income through purchasing real estate surely is next? Don’t worry, I already read it for you, to save you the time.

In Chapter 13, we learn that the key to successful real estate investing is to purchase properties below their value. That sounds good! Unfortunately, it’s actually kind of hard to buy property below market value, as markets tend to be more efficient than we think. But still, they advocate – numerous times – to always buy property below market value. From there they mention the importance of generating leads, speaking with sellers directly, and making sure the bank valuation is high enough to extract equity after loading up on debt.

Lease Options

One of the two authors, Vince Wong, explains that his further secret to success is the “Lease Option,” in which he takes over a set number of mortgage payments of a (presumably desperate) homeowner, in exchange for an option to buy their house at a set price in the future. This kind of strategy works in an environment of underwater sellers eager for a way to avoid foreclosure or bankruptcy. If the property recovers its value, the option-holder has the right to purchase a property. It’s not a terrible idea if you’ve got a access to a wide range of desperate sellers. Wong claims he built a massive pipeline of desperation and I don’t have reason to doubt him.[2]

Desperate customers

This, we learn toward the end of their book, is the real key to the authors’ real estate successes. Their niche, I assume, works just as well in attracting students to their ‘how to get rich with real estate investing’ classes.

As the third leg of their marketing pitch, this book is built around the same type of customer as their students and property sellers.

 

Editors addendum: After I wrote this post, the vast majority of commentary I received – by people who have been taken in by their live course – has confirmed what I thought about their book. Cliches, inappropriate financial strategies, marketing gimmicks, up-sell tactics preying on the financially vulnerable.

Their tactics actually are worse than that though.  They have a litigious approach to criticism, threatening and initiating lawsuits against people who find their courses bad, bordering on fraudulent. They go after people who have the audacity to let others know what they experienced. So, add bullying to the list of ways in which everyone should avoid these folks. Bad news all around.

 

 

[1] Eker’s book, which is apparently quite famous and often appears on the lists of best personal finance books (!), even has specific advertisements/coupons/come-ons to his ‘get rich’ classes printed on the cover.

[2] Except why spend one’s time giving “pay us to learn to get rich buying real estate” classes? I guess that’s the point from which my real prejudice derives. If real estate is so damned profitable, what is the point of teaching other people your tricks?

 

 

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China’s Sneeze – Our Cold

ChinaIn real economic terms, and as the second-largest economic power in the world since 2005, China has been a global player for a few decades.

In global financial market terms, however, China became interesting to the rest of the world for the first time this Summer.

I use the word ‘interesting’ the way it’s meant in the disguised curse ‘may you live in interesting times.’’[1]  Interesting financial problems in China became the world’s problems for the first time recently, as we witnessed the first global financial market-swoon attributed to trouble in Chinese financial markets.

Economy v. financial markets

China right now represents a case study in the difference between an ‘economy’ and ‘financial markets.’

We kind of already know that these two things – ‘economy’ and ‘financial markets’ – are distinct, but linked. Also, they interact.

The 2008 Crash in the United States was an example of trouble in the financial markets crashing the real economy, as excessive losses from sub-prime structured mortgages, followed by further excessive losses from illiquid structured products among financial firms, eventually caused construction halts, unemployment, and foreclosures – in other words, real-economy misery.

Causation just as typically runs the other way, in which a decline in real-economy profits leads to a slow-down in financial volumes and asset prices.

A real economy and its financial markets each influence the other, but can – for a time at least – differ drastically.

The distinction between the real economy and financial markets matters when viewing China’s struggle this year, especially in light of financial market fragility.

The real Chinese economy

I think we in the US forget to acknowledge – or in our narrow-minded patriotic competitiveness we prefer to overlook – the economic miracle of China.

For my part, I think the wealth gains for hundreds of millions of Chinese represents the greatest miracle for humanity over the last 50 years.

Among urban Chinese, only 10 percent could be considered middle class or above as recently as 2002. Just ten years later, 70 percent of urban Chinese achieved middle class or higher economic prosperity.

No society has ever developed that fast, on such a vast scale.

I can’t think of any social change as profound as the lifting of 500 million Chinese from poverty into relative middle-class prosperity in a single generation.

Whatever you think of the Chinese system (Is it Communist? Is it Capitalist? Is it a Socialist Market Economy with Chinese Characteristics? Who cares?) The economic miracle is real and amazing and to be celebrated.

Let’s not forget that gains in the real economy of China are real, impressive, and irreversible.

The Chinese financial system

And then there’s the Chinese financial system. Between lending, stock-investing and the currency, I mistrust all of it.

On the banking and lending side, to a degree we would find ludicrous in the US, Chinese lending institutions act with governmental direction. Back in my emerging market Wall Street bond days, a pattern developed with Chinese government-sponsored lending. State-supported investment banks in many provinces, known as ITICs, would periodically go bankrupt as a result of politically-directed lending.

A history of lending for non-economic reasons
A history of lending for non-economic reasons

Meanwhile private business and consumers – borrowers not connected to the government – traditionally find it difficult to access any bank credit at all

On the stock-investing side in China, this year has been a roller-coaster ride for the ages. Throughout the Spring, stocks blasted ever-upward, with numerous stocks and especially new issues hitting their daily ‘limit up,’ meaning trading halted once the price rose too much in one day. Come Summer, however, that process reversed, with numerous stocks and exchanges hitting their daily ‘limit down’ as stocks went into freefall.

Now, there’s nothing inherently wrong with volatile stock markets, except maybe various group’s reactions to the volatility.

The Chinese government, apparently seeing stock market instability as an existential threat, intervened numerous times since the market’s June 12 peak.

Some of these interventions include:

The 'National Team' is expected to support household investors
The ‘National Team’ is expected to support household investors

You can’t accuse the Chinese government of being inactive in the face of the stock-market crash. Probably that’s wise, because…

Chinese household investors, to the extent the financial press is accurate, appear to be counting on the power of the central government to prevent a market collapse.

This idea of the central government’s capacity to bail everyone out gets referred to in China as the ‘National Team,’ as in an investor saying: “I don’t worry about the Chinese stock market going down too much because we have the “National Team” on our side.

You can probably see how that line of thinking – if enough people follow it – will end in tears someday for the individual investor, or the central government, or both.

The roughly 40 percent – or estimated $5 Trillion in market value – drop in the Shanghai Composite Index since June 2015 naturally has all sides extremely anxious.

As I mentioned in the beginning, the most interesting thing for a US-based person, is the extent to which this all matters, for the first time, to global markets.

Before this past Summer, China’s financial sneezes had never caused the world financial markets to catch a cold. Now that’s happened for the first time and there’s no going back.

[1] Interestingly, I just learned from a simple Snopes.com search this curse isn’t Chinese at all, but probably dates to a letter by an American named Frederic R. Coudert written around 1936. Coudert attributed the phrase to British politician Austen Chamberlain (brother of the infamous Prime Minister Neville “Peace in our time” Chamberlain.) Robert Kennedy popularized it during a speech in 1966.

A version of this post ran in the San Antonio Express News

 

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