West Australian: Small investors getting burnt

Computer-based trading has meant that the market is no longer fair, writes David Tasker.

The Australian Securities Exchange is seen by many as one of the most transparent markets in the world, a place where everyone is informed at the same time and where investors big and small can trade shares on equal terms.
The ASX says of itself and its own standards:”By providing systems, processes and services needed for a fair, orderly and transparent market, ASX inspires confidence in the markets.” Unfortunately, the emergence of computer-based trading has meant that the market is no longer fair, orderly or transparent and therefore confidence in the market is at an all-time low. These online trading houses are making vast sums of money and the mum and dad investors, who are the lifeblood of the exchange, are being severely disadvantaged. In Australia, it is believed that computer-based trading accounts for up to 30 per cent of the total volume on the ASX and in the micro-cap/ mid-cap area of the market it may be as much as 50 per cent of trading volume.

High Frequency Trading

Computer-based trading is not new — it has existed in the US and other international markets for years — but we have only seen the emergence of this type of trading on the ASX in the past year. In essence, there are two types of computer-based trading platforms, algorithmic trading and high frequency trading. Both are managed by complex computer programs that have no interest in the core drivers of investment decisions, such as a company’s assets, its management or its prospects — only the ability to generate profit from trading. Algorithms create masses of small orders which can be observed being traded in certain patterns throughout the day and are used to acquire, or dispose of, large parcels of shares in a manner so as to not affect the market in those shares.

Here is where it becomes a problem. High-frequency trading participants also use algorithms to firstly detect another algorithm trying to orderly dispose or acquire shares, then preys on the big order it has found that is being executed into the market. The high-frequency trading algorithm will then begin to place orders into the market that are in front of the original algorithm, forcing the original algorithm to buy at higher and higher prices. Meanwhile, the HFT algorithm has been buying shares ahead of the original algorithm and then selling them at a higher price, all the while using the original algorithm to drive the price into its favour. This sets the original buyer at a disadvantage because it has created an unfair and false market.

The same situation can occur while pushing the price of the stock downwards. An HFT algorithm acts fast when it sees these orders. It “flashes” its offers and bids into the market in milliseconds so that they are almost impossible to transact except via other HFT orders. When they come against each other or find each other acting in unison, there is no manual override. Recently this was seen in the US where Knight Capital lost $US440 million and is also what is believed to have caused the 2010 flash crash when the US market dropped 1000 points and then recovered within minutes. Billions of dollars were wiped out, gone, investments destroyed, retirement funds wrecked, lives altered.

But where it really begins to turn nasty is when two or more HFT algorithms begin to work against one another, resulting in the share price being forced in a more extreme manner — either up or down. In unfavourable economic times, when normal market investors are thinner than usual, the direction is more than likely to be in the downwards direction.Which companies are most affected? High-volume, mining companies who make up almost half of those listed on the ASX (950 out of 2200 ASX listed companies) are particularly vulnerable. Some would say this is the market in action and liquidity is being created. The problem is genuine participants are being used as cannon fodder: Institutional brokers are also being affected, having to depend on HFT at micro commissions which offset their ability to run a traditional equities brokerage.

The winner is the professional trading houses and in a zero-sum game like the bad market we are in, retail investors are potentially the big losers — they can’t operate as fast and don’t have the huge computer power available and straight to market execution systems that these guys have. Up to 50 per cent of trading in smaller ASX-listed companies is being done by computers with no interest in the company, its assets, its people or its prospects and at a speed far superior to human trade. If an operator manually entered HFT-type trades, they would be penalised for manipulative trading — why should there be one rule for man and another for machines programmed by man?

David Tasker is the national director of Investor relations at Professional Public Relations

Poll: Do you trust High Frequency Trading to improve stock market pricing??

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Electronic Trading Glitches Shake Market Confidence

Stock markets are impacted by distortions arising from high-frequency trading algorithms as this article by SUZANNE MCGEE discusses. We really need to consider the benefits versus the costs of HFT. Benefits of HFT liquidity are vastly overstated: what use is an umbrella if withdrawn at the first sign of rain? The costs are far more than the additional +/- $2.5 billion — profits from HFT trading — that institutional and private investors pay for stocks each year. By far the greatest cost is the damage done to market efficiency and to investor trust. An efficient market requires accurate communication of pricing information to market participants. My belief is that HFT distorts this function. And the only reason it is encouraged by exchanges is the huge profits they make from it.

Even if Knight’s [Knight Capital] losses are as large as $300 million, that’s a drop in the bucket when set beside the $862 billion that was temporarily wiped off the value of the U.S. stock market in 2010. High-frequency trading systems and the algorithms they use, these advocates argue, add liquidity to the market, which is a Good Thing.

Well, not really. Not it results in a major crisis of the kind we saw two years ago and a slew of smaller trading anomalies, day after day, week after week, month after month on top of that. Less than two weeks ago for instance, traders reported seeing a bizarre “sawtooth” pattern of trading in a handful of large-cap stocks, including Coca-Cola KO and Apple AAPL. Their prices swung higher and lower with an uncanny degree of synchronicity, zooming higher every hour on the half-hour, and lower once more thirty minutes later. More algorithms, traders muttered gloomily to one another.

via Electronic Trading Glitches Shake Market Confidence.

Why Your Brain is Killing Your Portfolio – WSJ.com

All the participants [in a study by researchers from California Institute of Technology, New York University and the University of Iowa] played a game in which they sampled four slot machines. They were free to play whichever machine they thought would give the biggest payoff. What they didn’t know was that the payoffs from each machine varied unpredictably.

The neuroscientists found that the two control groups tended to make their next bet based largely on how much a slot machine had paid off on the two most recent bets….

via Why Your Brain is Killing Your Portfolio – WSJ.com.

When Austerity Fails

Austerity decimated Asian economies during their 1997/98 financial crisis and similar measures have failed to rescue the PIIGS in Europe 2012. David Cameron’s austerity measures have also not saved the UK from falling back into recession. So why is Wayne Swan in Australia so proud of his balanced budget? And why does Barack Obama threaten the wealthy with increased taxes while the GOP advocate spending cuts in order to reduce the US deficit? Are we condemned to follow Europe into a deflationary spiral?

How Did We Get Here?

First, let’s examine the causes of the current financial crisis.

Government deficits have been around for centuries. States would borrow in order to finance wars but were then left with the problem of repayment. Countries frequently defaulted, but this created difficulties in accessing further finance; so governments resorted to debasing their currencies. Initially they substituted coins with a lower metal content for the original issue. Then introduction of fiat currencies — with no right of conversion to an underlying gold/silver standard — made debasement a lot easier. Issuing more paper currency simply reduced the value of each note in circulation. Advent of the digital age made debasement still easier, with transfer of balances between electronic accounts largely replacing paper money. Fiscal deficits, previously confined to wars, became regular government policy; employed as a stealth tax and redistributed in the form of welfare benefits to large voting blocks.

Along with fiscal deficits came easy monetary policy — also known as debt expansion. Lower interest rates fueled greater demand for debt, which bankers, with assistance from the central bank, were only too willing to accommodate. I will not go into a lengthy exposition of how banks create money, but banks expand their balance sheets by lending money they do not have, confident in the knowledge that recipients will deposit the proceeds back in the banking system — which is then used to fund the original loan. Expanding bank balance sheets inject new money into the system, debasing the currency as effectively as if they were running a printing press in the basement.

The combination of rising prices and low interest rates is a heady mix investors cannot resist, leading to speculative bubbles in real estate or stocks. So why do governments encourage debt expansion? Because (A) it creates a temporary high — a false sense of well-being before inflation takes hold; and (B) it debases the currency, inflating tax revenues while reducing the real value of government debt.

Continuous government deficits and debt expansion via the financial sector have brought us to the edge of the precipice. The problem is: finding a way back — none of the solutions seem to work.

Austerity

Slashing government spending, cutting back on investment programs, and raising taxes in order to reduce the fiscal deficit may appear a logical response to the crisis. Reversing policies that caused the problem will reduce their eventual impact, but you have to do that before the financial crisis — not after. With bank credit contracting and aggregate demand shrinking, it is too late to throw the engine into reverse — you are already going backwards. The economy is already slowing. Rather than reducing harmful side-effects, austerity applied at the wrong time will simply amplify them.

The 1997 Asian Crisis

We are repeating the mistakes of the 1997/98 Asian crisis. Joseph Stiglitz, at the time chief economist at the World Bank, warned the IMF of the perils of austerity measures imposed on recipients of IMF support. He was politely ignored. By July 1998, 13 months after the start of the crisis, GNP had fallen by 83 percent in Indonesia and between 30 and 40 percent in other recipients of IMF “assistance”. Thailand, Indonesia, Malaysia, South Korea and the Phillipines reduced government deficits, allowed insolvent banks to fail, and raised interest rates in response to IMF demands. Currency devaluations, waves of bankruptcies, real estate busts, collapse of entire industries and soaring unemployment followed — leading to social unrest. Contracting bank lending without compensatory fiscal deficits led to a deflationary spiral, while raising interest rates failed to protect currencies from devaluation.

The same failed policies are being pursued today, simply because continuing fiscal deficits and ballooning public debt are a frightening alternative.

The Lesser of Two Evils

At some point political leaders are going to realize the futility of further austerity measures and resort to the hair of the dog that bit them. Bond markets are likely to resist further increases in public debt and deficits would have to be funded directly or indirectly by the central bank/Federal Reserve. Inflation would rise. Effectively the government is printing fresh new dollar bills with nothing to back them.

The short-term payoff would be fourfold. Rising inflation increases tax revenues while at the same time decreasing the value of public debt in real terms. Real estate values rise, restoring many underwater mortgages to solvency, and rescuing banks threatened by falling house prices. Finally, inflation would discourage currency manipulation. Asian exporters who keep their currencies at artificially low values, by purchasing $trillions of US treasuries to offset the current account imbalance, will suffer a capital loss on their investments.

The long-term costs — inflation, speculative bubbles and financial crises — are likely to be out-weighed by the short-term benefits when it comes to counting votes. Even rising national debt would to some extent be offset by rising nominal GDP, stabilizing the debt-to-GDP ratio. And if deficits are used to fund productive infrastructure, rather than squandered on public fountains and bridges-to-nowhere, that will further enhance GDP growth while ensuring that the state has real assets to show for the debt incurred.

Not “If” but “When”

Faced with the failure of austerity measures, governments are likely to abandon them and resort to the printing press — fiscal deficits and quantitative easing. It is more a case of “when” rather than “if”. Successful traders/investors will need to allow for this in their strategies, timing their purchases to take advantage of the shift.

Attention Frustrated Chartists: It Ain't High-Frequency Trading, It's The Macro – Seeking Alpha

To me, the Occam’s Razor explanation for why charts have gone Daffy Duck is not because of [HFT]robots, but simply because the macro environment has been bizarre … like “unprecedented in history” bizarre. And it’s been this way for a while now.

via Attention Frustrated Chartists: It Ain't High-Frequency Trading, It's The Macro – Seeking Alpha.

Trading Volatility, How to Beat the Stock Market at its Own Game :: The Market Oracle

A 2011 study from DALBAR, a Boston-based research firm, shows that investors achieved a mere 41.9% of the S&P 500’s performance over the 20 years ended December 31, 2010.

In other words, investors left 58.1% on the table.

The DALBAR study also shows that the average investor achieved only 3.8% a year versus the 9.1% annualized returns of the S&P 500 because they tended to jump in and out of the markets at the worst possible moments.

Adding insult to financial injury, Berkeley Finance Professor Terrance Odean’s analysis of more than 10,000 retail brokerage accounts shows that the stocks investors sell tend to outperform the ones they buy.

In fact, Odean found that winning stocks went on to gain an average of 3.4 percentage points more in the year after they were sold than the losers to which investors clung.

via Trading Volatility, How to Beat the Stock Market at its Own Game :: The Market Oracle :: Financial Markets Analysis & Forecasting Free Website.

Improve your entries (and exits) with Hour & Minute charts

Hour and minute charts can be used to improve the timing of your entries (and possibly exits) when compared to taking entry (and exit) signals from daily charts. Here is an example short trade on Australian retailer Harvey Norman [HVN_ax]. The monthly chart shows HVN testing long-term support at $2.00 — the 2009 low. 13-Week Twiggs Money Flow holding below zero signals strong selling pressure, threatening a downward breakout.

Harvey Norman Monthly Chart


The daily chart shows HVN fell as far as $1.80 in December 2011 before recovering above the new resistance level ($2.00) in January. The rallied reached a high of $2.20 but bearish divergence on 21-day  Twiggs Money Flow warned of strong selling pressure. The stock reversed below $2.00 in early March — the first short signal — but prudent traders may have waited for further confirmation before taking their full position.

Harvey Norman Daily Chart

On the hourly chart we can see that HVN retraced to re-test resistance at $2.00, reaching a high of $2.01 before retreating below resistance to confirm the new down-trend. Short entry could be timed to enter on the next 15-minute bar following the reversal: an entry point of $1.99 compared to $1.98 using daily bars.

Harvey Norman 15-Minute Chart

Canada TSX: Potential breakouts

Hudson Bay Minerals [HBM_ca] follow through above 12.50 would confirm a primary up-trend.

Hudson Bay Minerals

21-Day Twiggs Money Flow holding above zero indicates buying pressure, while recovery of 63-day Twiggs Momentum above zero suggests a primary up-trend.