Tagged: trade size

Suppy Chain Trouble

If you go to the store for a shirt and they don’t have your size, you wait for the supply chain to find it.  There isn’t one to buy. Ever thought about that for stocks?

I just looked up a client’s trade data. It says the bid size is 2, the ask, 3.  That means there are buyers for 200 shares and sellers of 300.  Yet the average trade-size the past 20 days for this stock, with about $27 million of daily volume, is 96 shares.  Not enough to make a minimum round-lot quote.

That means, by the way, that the average trade doesn’t even show up in the quote data. Alex Osipovich at the Wall Street Journal wrote yesterday (subscription required) that the market is full of tiny trades. Indeed, nearly half are less than 100 shares (I raised a liquidity alarm with Marketwatch this past Monday).

Back to our sample stock, if it’s priced around $50, there are buyers for $10,000, sellers of $15,000. But it trades in 96-share increments so the buyer will fill less than half the order before the price changes. In fact, the average trade-size in dollars is $4,640.

The beginning economic principle is supply and demand. Prices should lie at their nexus. There’s an expectation in the stock market of endless supply – always a t-shirt on the rack.

Well, what if there’s not? What if shares for trades stop showing up at the bid and ask?  And what might cause that problem?

To the first question, it’s already happening. Regulations require brokers transacting in shares to post a minimum hundred-share bid to buy and offer to sell (or ask). Before Mr. Osipovich wrote on tiny trades, I’d sent data around internally from the SEC’s Midas system showing 48% of all trades were odd lots – less than 100 shares.

Do you see? Half the trades in the market can’t match the minimum. Trade-size has gone down, down, down as the market capitalization of stocks has gone up, up, up.  That’s a glaring supply-chain signal that prices of stocks are at risk during turbulence.

Let’s define “liquidity.”

I say it’s the amount of something you can buy before the price changes. Softbank is swallowing its previous $47 billion valuation on WeWork and taking the company over for $10 billion. That’s a single trade. One price. Bad, but stable.

The stock market is $30 trillion of capitalization and trades in 135-share increments across the S&P 500, or about $16,500 per trade.  Blackrock manages over $6.8 trillion of assets. Vanguard, $5.3 trillion. State Street. $2.5 trillion.

Relationship among those data?  Massive assets. Moving in miniscule snippets.

Getting to why trade-size keeps shriveling, the simple answer is prices are changing faster than ever.  Unstable prices are volatility.  That’s the definition.

I’ll tell you what I think is happening: Exchange Traded Funds (ETFs) are turning stocks from investments to collateral, which moves off-market. As a result, a growing percentage of stock-trades are aimed at setting different prices in stocks and ETFs. That combination is leading to a supply-chain shortage of stocks, and tiny stock-trades.

ETFs are substitutes dependent on stocks for prices. The ETF complex has mushroomed – dominated by the three investment managers I just mentioned (but everyone is in the ETF business now, it seems) – because shares are created in large blocks with stable prices. Like a WeWork deal.

A typical ETF creation unit is 50,000 shares.  Stocks or cash of the same value is exchanged in-kind. Off-market, one price.

The ETF shares are then shredded into the stock market amidst the mass pandemonium of Brownian Motion (random movement) afflicting the stocks of public companies, which across the whole market move nearly 3% from high to low every day, on average.

Because there are nearly 900 ETFs, reliant on the largest stocks for tracking, ever-rising amounts of stock-trading tie back to ETF spreads. That is, are stocks above or below ETF prices? Go long or short accordingly.

Through August 2019, ETF creations and redemptions in US stocks total $2.6 trillion.  From Jan 2017-Aug 2019, $10.1 trillion of ETF shares were created and redeemed.

ETFs are priced via an “arbitrage mechanism” derived from prices in underlying stocks. Machines are chopping trades into minute pieces because the smaller the trade, the lower the value at risk for the arbitragers trading ETFs versus stocks.

ETFs are the dominant investment vehicle now. Arbitrage is the dominant trading activity. What if we’re running out of ETF collateral – stocks?

It would explain much: shrinking trade-sizes because there is no supply to be had. Rising shorting as share-borrowing is needed to create supply. Price-instability because much of the trading is aimed at changing the prices of ETFs and underlying stocks.

Now, maybe it’s an aberration only. But we should consider whether the collateralization feature of ETFs is crippling the equity supply-chain. What if investors tried to leave both at the same time?

All public companies and investors should understand market liquidity – by stock, sector, industry, broad measure. We track and trend that data every. Data is the best defense in an uncertain time, because it’s preparation.

Liquidity

Want a big ranch out west?

Apparently you don’t. The Wall Street Journal last month ran a feature (subscription required) on the mushrooming supply of leviathan cattle operations from Colorado to Idaho, legacy assets of the rich left to heirs from the era of Ted Turner and John Malone.

A dearth of demand is saddling inheritors with big operating expenses and falling prices.  Cross Mountain Ranch near Steamboat Springs, CO is 220,000 acres with an 11,000 square-foot house that costs a million dollars annually to run. It can be yours for a paltry $70 million, $320 an acre (I wonder if that price holds for a thousand?).

What have cattle ranches got to do with the stock market?  Look at your holders, public companies.  What’s the concentration among the largest?

The same thing that happened to ranches is occurring in stocks.  The vast wealth reflected in share-ownership came considerably from generations now passing on inheritance or taking required minimum distributions. The youngsters, at least so far, aren’t stockowners. They’re buying coffee, cannabis and café food.

Juxtapose that with what we’ve been saying about liquidity in stocks, and as the WSJ wrote today.

Liquidity to us is how much of something can be bought or sold before the price changes.  Those landed dynasties of western dirt are discovering people eschew large land masses and monolithic homesteads.

In stocks, the same is true.  Back up five years to Sep 4, 2014. The 200-day (all measures 200-day averages) trade size was 248 shares and dollars/trade was $17,140. Short volume was about 42%, the average Russell 1000 stock traded about $230 million of stock daily. And intraday volatility, the difference between highest and lowest daily prices, was about 2.2%.

Five years later? Average trade-size is 167 shares, down 33%.  Dollars/trade is down 26% to $12,760. Shorting is nearly 47% daily. Dollars/day is down 17% to $170 million. Volatility is up 32% to 2.9% daily.

But market-capitalization has increased by some 40%.  It’s as though the stock market has become a giant ranch in Colorado teetering over millennials loitering in a coffee shop. No offense, millennials.

Every investor and public company should understand these liquidity characteristics because they increase risk for raising capital or making stock investments.

Why is liquidity evaporating like perspiration out of an Under Armor shirt?

Rules and behaviors. Rules force brokers – every dollar in and out of stocks passes through at least one – into uniform behavior, which decreases the number capable of complying. Picture a grocery store near dinnertime with just three checkout lanes open.

In turn, concentration means more machination by brokers to hide orders. They break them into smaller pieces to hide footsteps – and machines become more sophisticated at interrupting trades in ever smaller increments to reveal what’s behind them.

And all the liquidity measures shrink. We see it in the data. A blue bar of Active Investment rarely manifests without an array of orange bars swarming to change prices, Fast Traders who have detected the difference in the data where human influence drives machine behavior.

What can you do, public companies and investors?  Prepare for bigger and unexpected gyrations (volatility erodes investment returns and increases equity cost of capital).

Examples: HRB reported results before Labor Day. The quarter is fundamentally inconsequential for a company in the tax-preparation business. Yet the stock plunged. Drivers?  Shares were 71% short and dominated by machines setting prices and over 21% of trading tied to short derivatives bets.

Those structural facts cost holders 10% of market cap.

Same with ULTA. While business conditions might warrant caution, they didn’t promote a 30% reduction in equity value.  Market structure did it – 58% short, 55% of total volume from machines knowing nothing about ULTA and paying no heed to the call.

We have the data. Market structure is our sole focus. No public company or investor should be unaware of liquidity factors in stocks and what they predict.

Put another way, all of us on the acreage of equities better understand now that vast tracts of value are tied up by large holders who don’t determine the price of your stocks anymore than your grandfather’s capacity to buy 100,000 acres will price your big Wyoming ranch now.

What does is supply and demand. And liquidity is thin all over.  Data can guard against missteps.