Saturday, 23 January 2010

The Price is Wrong? (warning - may contain Bruce Forsyth)

As Bruce Forsyth might say - "higher, lower, higher, lower"!

Following Obama's announcement and the negative reaction in the markets - there are probably 3 large questions everyone is concerned about this weekend..
  1. Are we heading towards a 'W' shaped recovery - aka 'the double dip'?
  2. Has the market recovered too quickly.. are prices too high?
  3. Should I take my profits now (if I have any) or wait?

IN response - there are equally 3 things to note at this stage:

1. Economies and market indices are not perfectly correlated: one is the input of market sentiment (do we BUY, SELL or HOLD) and the other is the output of market sentiment (do we BUY, SAVE or BORROW).. as such they move in similiar directions but at different times. Think of them as connected by a slinky. I believe that investors do not react logically to market events (markets were never originally designed to be impacted by media or the internet) and constantly underreact and overreact as they struggle to comprehend newsflow. This is fair - there is too much information for any of us to process.

2. The 'W' shape - the reality is that describing markets via shapes is a pointless past time that has made a lot of technical folks a lot of money.. they sell you illustrations that make you feel better about what markets are doing - easy phrases that people can hook onto. They are nothing more than a narrative of what has happened and a pretty poor tool for anything else. The only thing I'm interested in is whether people believe the pundits, how many and where people may herd to next. In reality this small correction feels a bit like one back in 2004 (not to say it's the same) - people get jittery and cash their profits.. the sales flows across the mutual industry point towards this since as far back as October-November (see chart below).. the market has paused to take stock.. this is normal market behaviour folks, markets are supposed to go up AND down. Recent investor surveys also point to a lack of confidence for 2010 - investors often call this the '2nd phase' of a bull market.. it's typified by lower headline returns but strong income flow bolstered by a stronger economy and corporate profits. Economic data already looks much better for Q409 (E.g. UK - Unemployment down, purchasing up, CPI up, retail sales up, credit conditions stable..)




It's funny because until the summer of 2009 the media really didn't talk about a recovery or a 'bull market' - we were still processing recession data. This is often why the first phase of a market recovery is a called a 'stealth bull market'.. I call it this because it happens without the populous being truly aware of it. The Investment industry too was slow to pick-up - investment houses go into such a cycle of cost-cutting that the rarely spot the 'bounce'.. if you want a novelle contrarian idea for investing then base it around the product development cycle of asset managers..

3. Lastly - are prices too high? Again there is no real marker as to whether a market has ovverun or not - yes - we have historical prices but as we know the world markets have grown by some crazy % since the 1950s so comparisons are again largely used as placebos. Any given point is either oversold or under-sold depending on your point of view. We do not know what markets will do today, let alone tomorrow or the next.. 'Experts' may like to tell you otherwise - many will show you very compelling trendings, forecasting and 'clever' math (be in no doubt there are a lot of clever people trying to work these conundrums out). I've talked about volatility swings becoming more rapid and more severe - this notion of up and down returns (useless fact for the day - clever bods call it brownian notion) is like the oscillation of a spectrum analyser http://en.wikipedia.org/wiki/Spectrometer the drawdown we saw in 2008 was unprecedented and the rate of recovery through 2009 has been (almost as) equally pronounced.

If you remember back to physics @ school then you will remember how oscillations tend to rise and fall in waves - a large down is folowed by a large up which then gradually subsides then grows again. So if that was true of investment markets then perhaps the recovery in 2009 was too pronounced - a reaction to 2008 which was a reaction to the market of 2007... 2006,, 2005.. If following that logic then we could see a zig-zag market that gradually stabilises. These are sometimes called 'frothy' markets and actually pose lots of opportunity (and risk) for active investors. The Talinn Institute of Cybernetics has lots of clever bods who look at oscillation patterns and market volatility.. the most useful thing from our point of view is that volatility is rarely symmetrical or predictable - why? because people don't behave logically. For further reading then consider Taleb's 'The Black Swan', David Stamp's 'The Market Prophets' or  inded Kahnemann's study into investor behaviour.. all stimulating for the grey stuff..!
I haven't sat down properly with the charts but it feels intuitively that the rate of inclimb since March has been much steeper and faster than that from March 2003-Jan 2004. This of course may mean nothing, nada, zip.. but it could also mean that the market has priced 2 years of recovery in 1.. bull runs of course don't last foreever - eventually the expectation of profit dwindles and investors cash out to protect what they have already made. This may be what we are seeing now but what is clear(ish) to me is that investors are far more sensitive to information than ever before. Of course a lot of money is still run by powerful institutions who do not react in the same way and they may be able to counter-balance some of the 'herding' patterns or encourage it to their own benefit.. Bull runs tend to last about 3 years and bears about 18 months but as we have seen there are no rules to be made or broken here.. markets are uncertain.

So if market movements were based on the 0.001% of the clever people in the world who do the trading, the lending and the investing then things should be quite easy to figure out.... Wrong!!

The fact of the matter is that every investor/worker wakes up and hopes to make money (or keep money) - there is a certain amount of money that can go around and that amount should be the total wealth of the world divided by the sum of those in it. BUT without sounding Marxist - the fact of the matter is that we are mostly engrained to want more than our lot - this is the forebear of capitalism, the American dream, and the Marx's division of wealth.

Thus to make money in markets means that someone not unlike you had to lose.. you just made 20%; well done - someone else just lost 20%.. To be blunt - the art of money-making requires winners and losers. Now in a growing economy we have a little thing called inflation that 'creates' more money by, in effect, making your money worth less.. this in turn incentivises people to make more.. If if wasn't like that then we wouldn't give companies money to grow their earnings but instead keep what we earn in cash, under the matress.. Alas then inflation is something of a neccessary evil as inflation also grows the capital of companies who can then borrow to spend, to employ, to grow earnings, to return that money back to you.. with profit. To grow earnings people need to also be encouraged to spend..too borrow, too save.. to then spend again..[supply-demand blah blah blah.. Adam Smith would be proud].

I reallly do wish that modern markets followed the conventional economic model or that I could use 17th century Japanses charts (Kagi, Renka) to predict that supply-demand as a means to buy/sell.. the problem is too much information, it's why 'EMH' (Efficient Market Hypothesis, the bedrock of finance) is such a bloody misnomer.. but also why; in a sort of mutated way, markets are so hard to beat, so hard to predict or profit from. (ok, my head hurts)..

So when you decide whether to BUY or SELL - just remember that someone has made the opposite decision; banking on you making that decision. The market also never stops - even when there is no trading - advanced computer systems are continually recalculating positions, opportunities for the next day - global timezones means someone is usually buying something; somewhere. Some markets never stop pricing and the advent of HFT (High Frequency Trading) makes this even more scary - 000000s of trades per second.. becoming faster.. algo-based systems processing information before we have processed it ourselves.. Perhaps investment markets/economies are the only true form of AI (artificial intelligence) -like the internet its network is limitless.. every peice of information (inc this blog) can have an effect but when information leads to an investment trade then its imapct is material - IT LIVES!!. Like a weather system the ripple effect is virtually impossible to predict but unlike weather the markets don't even follow laws of physics.. it's both mechanical (systems) and organic (people).. This is why some market bods are turning to organic mechanics to try and understand markets better. Good luck I say.

What's my point - not a lot I guess - simply that the wheels of the market will keep going around regardless and that our ability to predict what it will do next is pretty useless. It's chicken or the egg - do investors react to markets, markets to investors: or both..

So what do we do?

1. Stop being too focussed on the daily media (aka 'noise'). I've started allocating my assets at the weekend by which time the media has better consolidated the week's newsflow. Switch on and watch Bloomberg TV for 3 days straight for 10 hours a day during the week (I have) and you'll see what I mean..

2. Stop being too focussed on the movement of markets that often have no bearing on the returns of your portfolio.. try not to chase tails - if you had a definite plan they why change it. Set out a plan that could work in rising or falling markets.

3. Stay true to your targets - start selling/buying when you reach them. If you buy in tranches then each investment has its own timing and target - this makes investing through market changes easier. Buy when you thing something is cheaper than what you can later sell it for.

4. Be decisive - do you diversify or take risky bets? Choose and try not to overreact to markets.You won't be always right so don't try to be.. avoid compounding a mistake with another one.


right.. back off the soapbox ;)

Brucey says 'nice to see you.. nice'


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Quote of the day: "Great spirits have always found violent opposition from mediocrities. The latter cannot understand it when a man does not thoughtlessly submit to hereditary prejudices but honestly and courageously uses his intelligence." Albert Einstein (attributed)

Investment U


Delta changes in risk aversion (Nov09)

Sentiment: The 'Lag' Effect

Sentiment: The 'Lag' Effect
Investor perception of risk is rarely up to date

Global Consciousness Project (GCP) 'Dot'

The Global Consciousness Project collects random numbers from around the world. This is a real time data analysis of the GCP. It collects the data each minute and runs statistics on the stream of random numbers generated by the project. This analysis is run 10 minutes behind the generation of the data. In this way, it can be seen as a real-time indicator of global consciousness coherence. http://gcp.djbradanderson.com/ BLUE DOT: Significantly small network variance. Suggestive of deeply shared, internally motivated group focus. The index is above 95% BLUE-GREEN DOT: Small network variance. Probably chance fluctuation. The index is between 90% and 95% GREEN DOT: Normally random network variance. This is average or expected behavior. The index is between 40% and 90% YELLOW DOT: Slightly increased network variance. Probably chance fluctuation. The index is between 10% and 40% AMBER DOT: Strongly increased network variance. May be chance fluctuation, with the index between 5% and 10% RED DOT: Significantly large network variance. Suggests broadly shared coherence of thought and emotion. The index is less than 5% The probability time window is one hour. For a more information on the algorithm you can read about it on the GCP Basic Science page

Choosing Mutual Funds..

Choosing a Mutual Fund – CLUE “it is not about past performance.." You could try - Logic Scoring! The trick is to create your own metrics and populate them into your own grid.. Always remember to test your assumptions v outcomes: your model may be right but you may find what you thought to be a SELL is actually a BUY. Always look at the problem in the mirror! You can also read this in conjunction with my guide on Value at Risk and other Key Risk Indicators below. http://tinyurl.com/ydvf3zh

Bull versus Bear Investing; versus Herding

The lifecycle (or holding period) of an investment held by a particular investor, often categorised as short, medium or long-term.

Let's get normal volatility out of the way first.. VaR-based toolkit.

Ok - a starting point - let's get normal volatility out of the way first.. This pack was written around end Q308 - post 16/8 but before the massive movement of Oct-Nov08. For those who support brownian motion or the geometric movement of returns then, I'm afraid to say, it's going to end bad..

What is the fuss with volatility.....

Re the movement of market returns - many believe they follow a geometric or exponential Brownian motion ('GBM') which is a continuous-time stochastic process in which the logarithm of the randomly varying quantity follows a Brownian motion, also called a Wiener process. It is used particularly in the field of option pricing because a quantity that follows a GBM may take any positive value, and only the fractional changes of the random variate are significant ('deltas').

http://en.wikipedia.org/wiki/Geometric_Brownian_motion


So in practice 'brownian motion' assumes a strong tendency to trend - it says that returns won't jump from day 1 to day 2 but move up and down in fairly predictable increments.. the returns of the previous days have an impact on the subsequent day - they are not unique. This estimation of how prices move is the underlying principal for the future pricing of derivatives contracts such as options.. i.e. E.g. to buy a contract, at one price, to buy or sell the underlying asset at a future date at a future price... this is usually referred to as the 'Black-Scholes formula' or the much much earlier Bronzin model (1908). This ties up with the old-age 'law of big numbers' (or law of averages) - where returns follow a pattern around a mean and that the volatility around that mean diminishes over time.. Where those returns are then assumed to form a normal distribution (or bell curve) then the 'GBM' is symmetrical to the mean of those returns. BUT what if we do not believe upside and downside returns will be similiar?.
A LOT of analysis has been run since to dispel this view such as many variations of the the Noble winner Robert Engle's ARCH approach in 2003 ('heteroskedasticity'.. or the analysis of different dispersions/volatilities), countless variations thereof, stochastic models (see below*), extreme loss analysis, stress testing, scenario analysis and so on - it keeps the Math boys busy shall we say...

*Stochastic models: treat the underlying security's volatility as a random process, governed by variables such as the price level of the underlying, the tendency of volatility to revert to some long-run mean value, and the variance of the volatility process itself, among others. Somtimes I use Markov chain as the easiest way to visualise and understand a random process: usually it's illustrated by the cat and the mouse:

Suppose you have a timer and a row of five adjacent boxes, with a cat in the first box and a mouse in the fifth one at time zero. The cat and the mouse both jump to a random adjacent box when the timer advances. E.g. if the cat is in the second box and the mouse in the fourth one, the probability is one fourth that the cat will be in the first box and the mouse in the fifth after the timer advances. When the timer advances again, the probability is one that the cat is in box two and the mouse in box four. The cat eats the mouse if both end up in the same box, at which time the game ends. The random variable K gives the number of time steps the mouse stays in the game..

This Markov chain then has 5 states:

State 1: cat in the first box, mouse in the third box: (1, 3)
State 2: cat in the first box, mouse in the fifth box: (1, 5)
State 3: cat in the second box, mouse in the fourth box: (2, 4)
State 4: cat in the third box, mouse in the fifth box: (3, 5)
State 5: the cat ate the mouse and the game ended: F.

To show this for a fairly infinite number of price movements is somewhat less achievable but nonetheless that's what the clever bods have done..

Otherwise most of probability, I admit, is above my head unless it descends into some sort of practical application - BUT I get the sub-plot.. stop trying to predict future patterns from regressing past performance... show me the track record of a model (after it has been created) and I'll be one step closer to being converted.. I'll touch on stress testing, extreme analysis ('extremistan') and scenarios another day..

"The Black–Scholes model disagrees with reality in a number of ways, some significant. It is widely employed as a useful approximation, but proper application requires understanding its limitations -blindly following the model exposes the user to unexpected risk. In short, while in the Black–Scholes model one can perfectly hedge options by simply Delta hedging, in practice there are many other sources of risk." Wikpedia

http://en.wikipedia.org/wiki/Black%E2%80%93Scholes





Active-Passive Investing Debate

Performance Patterns: **This deck is based on some work-based research so apologies for the confusing arguments - as a consequence the 'story' in the slides is a little muddy so I will re-jig this in the New Year to make my points clearer.** Passive-active purchase drivers in the UK are less differentiated/defined than perhaps elsewhere; the basic rules apply: What I did find was that there were interesting herding flows preceding, into and of the credit crunch. These were large asset-class movements: something which active managers would have little control of unless they ran absolute return type startegies. What my analysis showed is that an investor could manage a passive portfolio tactically to take advantage of large herding patterns. This involves risk, access to the right data, practice and above all discipline but I hope it will be a journey we can share!!

Lessons for 2010 - REIT Funds

Noting the events around 2005-2008 make for interesting considerations when thinking about buying REIT Funds in 2010..

The UK Investor - The Surprise Factor

The maps in the presentation (below) really help illustrate the suprise factor of the credit crunch.. little of the previous patterns would prepare the UK investor for what was about to come. The flows show that investors did not recognise the risks inherent in 2006-2008. This is because the industry uses conventional fund metrics, which were at best outputs not guides..!

The UK Investor - IMA 'Map' 2002-2008

Jon Beckett, ASCI - Past Projects (2003-2008)

I have been involved in the IFA and investment market since 1998, covering a broad range of roles. I have engaged a number of industry bodies over the years, to be a voice for change, to reform our industry and make it trusted and respected. None of the projects shown should be related to Franklin Templeton either: explicit, inferred or otherwise. I attach some of my past projects from 2004-2008.. Rgds JB