Equity Market Timing Update November 2010

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    Where are equity markets heading?

    The evidence from mean-reversion

    modelling: An innovative approach to

    Market-Timing and Asset Allocation.

    From:

    John P. Cuthbert BA, MA, MSc

    Independent Financial Economist

    November 22, 2010

    [email protected]

    mailto:[email protected]:[email protected]:[email protected]
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    Introduction

    Market timing, by common consent, is a tricky often unfathomable business. The

    majority of investment professionals place little or no store in it. Our approach is very

    different. It draws on eclectic tools (often from process engineering) and other

    insights from contemporary research in financial statistics (such as the work of

    Andrew Lo at M.I.T), and objectively focuses on economic pricing behaviour.

    Our simple aim is to identify the extent to which and when asset prices contain

    opportunities that can be exploited. From an empirical or observers point of view,

    there are two types of market timing effects: short-term and longer-term. As a

    result we use two different types of models to identify these effects.

    Perhaps the more interesting of these two types relates to longer-term effects. From

    a formal point of view, we can say that if asset markets are rational, then they should

    price macro features. These macro features (as the word itself suggests) ought tobe large scale effects, and if markets are also consistently rational, we perhaps

    should also be able to detect some sort of consistent pricing of macro evidence from

    business cycle to business cycle.

    Of course, business cycle asset pricing is a highly controversial area in mainstream

    economics, but we would simply say that the evidence is more pervasive - and more

    persuasive - than generally assumed. We present some of this evidence here.

    Before we launch into that, we ought to first apologise (and perhaps also defend) the

    use of statistics here. We apply statistical methods - and often non-standard

    techniques - because we are seeking to identify attributes of pricing behaviour that

    are not standardly captured by other methods such as stock valuation or rational

    asset pricing models. Thats how this approach adds value!

    Some of this statistical work will be unfamiliar, and much of it is complicated. Even

    so, theres usually an easier way of doing things, and with that encouragement in

    mind, we offer here an approach that rests on the presentation of simple diagrams

    (rather than maths) that capture more familiar aspects of market pricing behaviour....

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    Mean reversion behaviour

    One of the most important statistical ways of thinking about and capturing asset

    pricing behaviour is mean-reversion1. Not only is mean reversion a really important

    area of research, it is also poorly understood, perhaps because it is both diverse

    (there are many different mean-reversion processes or models) and complex.

    For example, phases of the business cycle -and different business cycles too - often

    exhibiting different forms of mean-reverting behaviour (which is one reason why its

    hard to make standard valuation techniques work consistently).

    Putting these difficulties to one side, its nonetheless true to say that a good deal of

    asset pricing behaviour can be meaningfully described as mean reverting. These

    mean-reversion phenomena exhibit very strong statistical characteristics (such as

    auto-correlated trends, and/or clear probabilistic boundaries at the extreme), and

    they are usually associated with real-world business cycle events. This conjunctionbetween statistical and real world events is no small thing; it renders it possible to

    identify these mean-reversion phases as profitable market timing opportunities and

    also to think about them in conventional strategic terms.

    Large scale mean-reversion effects tend to be more describable as trends or

    phases (shorter-term effects are better described as trading type phenomena) and

    so they are observably present in Asset Allocation performance behaviour. For

    example, in comparative Asset Allocation strategies (most obviously between Global

    Equities and Global Bonds) the strongest mean reverting asset pricing behaviour

    occurs in three phases: at the end of a business cycle; in the bounce from the bottomof the cycle; and finally in the Recovery slowdown phase.

    The recent asset pricing (or business) cycle has experienced all three of these mean-

    reversion phases, their magnitudes have been statistically significant (and more than

    significant in performance terms, and we have constructed statistical forecast models

    that are able to precisely define their direction and turning points (their length can

    also be estimated through business cycle comparisons, as we will see shortly).

    Lets take a look at this recent evidence...

    1By mean-reversion we mean any variable whose prospective performance potential is proportionate to its distance from

    an average (in practice we use moving averages of different types), though this relationship may well be non-linear ratherthan linear. However, mean-reversion trends are actually modelled using a drift term which tends to have stochastic

    properties.

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    2010 Mean reversion behaviour

    Since the beginning of 2010 we have been pointing out that the post Recovery

    bounce (from March 2009) was coming to an end. We predicted and demonstrated

    (ably we think) that this phase would come to an end in April, and that subsequently

    Global Equities vs. Global Sovereigns would experience a typical end-Recovery period

    mean-reversion in which equities under-perform. That has proved to be the case.

    There are many ways of statistically describing this type of mean-reversion

    behaviour2

    but the easiest way to present it pictorially is to use an Information Ratio

    (IR) model. The IR is a special type of moving average, and because it is expressed in

    standard deviations (i.e. units of variation), as magnitudes approach the limit of

    what is normal variation, the probability of a turning point ahead becomes much

    more pronounced.

    In the IR chart below we have compared the current business cycle to the lastbusiness cycle. This is a Global Equity versus Global Govt. Bond comparison so an

    upward-sloping IR trend line implies equity out-performance and vice versa. As can

    be seen, the IR trend (or Recovery mean-reversion phase) in the current cycle peaked

    at exactly the same standard deviation magnitude as the same phase in the previous

    business cycle (2003-04). This peak occurred in April and confirmed that a new mean

    reversion phase had begun in which equities would be under pressure relative to

    Sovereigns until this new mean reversion phase had come to an end.

    2We actually use 5 different models with the main mean-reversion model being the Ornstein-Uhlenbeck equation.

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    Global Equities vs. Global Govt Bonds: Two IR mean-reversionpatterns, a business cycle comparison

    2003-04 and 2009-10

    Recovery phases peak at

    same s.d. magnitude

    signalling end of equity rally

    We are here Forecast

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    We have also used this IR model approach (supported by our other models) to

    pinpoint the end of the subsequent equity market sell-off phase, which occurred in

    late July/early August. In previous business cycles, the equity sell-off phase lasted a

    similar amount of time, and ended with a bang (a major sell-off) rather than a

    whimper. For all the talk about New Normal, Double-Dip, and the equity Ice Age,

    guess what happened this time round?

    As you can see from the chart, the ends of the post-Recovery mean-reversion

    phases (little yellow circles)3

    have been almost exactly synchronous in each of the

    last two full business cycles. Julys bottom this year was no different!

    Although this coincidence is extra-ordinary, it is purely an empirical feature. There is

    nothing about the structure of the models that should determine such extra-ordinary

    outcomes, that said,the statistical properties of the behaviour, namely that there

    tend to be normal statistical limits to events means that as markets approach thesestatistical limits (in standard deviations), mean-reversion modelling tells us that the

    probability of change in the trends direction (or mean- reversion) rises.

    It might have otherwise been so, but everything about this business cycle (from a

    statistical point of view at least) has pointed to high similarity with previous cycles.

    And so being able to think and observe in this statistical way has enabled greater

    clarity about market direction when almost every real world event seemed to have

    conspired to a different conclusion.

    3Please note that we have used our main Ornstein-Uhlenbeck mean-reversion model to determine the length of the mean-

    reversion phase, but there are important statistical reasons why this effect should also be mirrored in the IR trend!

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    End of mean

    reversion phases

    3 Information Ratio Business Cycle paths (Global Equities

    vs. Govt. Bonds)

    In previous Business Cycles equity sell-offs

    have been preceded by a collapse in the IR,

    and subsequent equity rallies have tended

    to coincide with a bottom or bottoming in

    the IR!

    Current Phase

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    Total return impact of mean reversion phases

    Of course, investment managers dont think in IR and mean-reversion model terms.

    What really matters is total returns! So in our approach it is important that all signals

    can be converted into some expected return forecast or general return expectation.

    In the two previous business cycles the post-Recovery mean reversion phase ended

    with an equity market sell-off. This sell-off was substantial (which is the statistical

    effect that drives models to their limits), and if we compare the recent experience to

    previous cycles we can assess the degree of similarity.

    So the chart above tells us something else about how extraordinary recent events

    have been. Not only have the lengths of the Recovery and post-Recovery equity sell-

    off phases been similar in length and magnitude when expressed in IR and mean-

    reversion terms, the total return behaviour has been very similar too (see green

    trend in chart above for the current cycle).

    We live in challenging and unsettling times. Debt deleveraging, quantitative easing, a

    volatile business cycle and their unravelling uncertainties will linger with us, and

    although these events are daunting, mean reversion analysis tells us that none of it is

    having any fundamental impact on performance behaviour. Instead the most

    important thing to know about the current cycle is that it is being priced in a similar

    way to previous business cycles!

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    3 Total Return paths associated with mean reversion phases

    (Global Equities vs. Govt Bonds)

    The ends of previous mean reversion

    phases have been preceded by a

    substantial sell-off in Equities and this

    looks to have occurred in the current

    cycle too!

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    2011 Expected Mean Reversion behaviour

    All this provokes the most obvious and perhaps the most important of questions:

    what is likely to happen next?

    We can use the mean-reversion models to answer this question.

    In the chart below we show the two business cycle comparison again, but this time

    with the current IR trend and forecast IR trend shown (the current 12 week forecast

    is the part of the red trend curve beyond the small yellow circle).

    We can see that in the last business cycle phase (blue trend), although the equity

    under-performance phase ended in mean-reversion and total return terms at this

    juncture in the cycle, in IR terms equities remained under performance pressure

    relative to Government Bonds (the blue trend moves sideways until an obvious

    bottom from which an obvious strong equity out-performance trend began in 2005).

    The explanation for this is very simple. The IR is a return/risk ratio, and in 2004-05

    markets focused on macro risk (the denominator in return/risk) rather than

    corporate fundamentals, a form of behaviour which simply reflected the pricing of

    the transition from the Recovery to the mid-part of the business cycle.

    Something similar is happening this time round. Simply put, markets have a lot to

    weigh up with regard to figuring out whether the current expansion can be

    sustained. Our IR model forecast and 2004-05 comparison suggest that these

    uncertainties wont be resolved for another 21 weeks (period 81 to period 104 on the

    horizontal axis). Until then, equities remain at significant risk of major reversals.

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    Two IR business cycle paths (Global equities vs. Global Bonds)

    In the previous business cycle, the IR trend,

    though it bottomed, remained under pressure

    for many more months until a stronger

    performance phase could begin here.

    We are here

    IR UNDER PRESSURE

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    Current Risk Forecast

    Key observations...

    Our mean- reversion model analysis tells us that the post-recovery phase whereequities un-ambiguously under-perform Sovereigns is over.

    Equities have embarked on a transitional phase (in IR terms) in which, ifuncertainties about the sustainability of the current business cycle expansion can

    be resolved, then Global Equities have the potential to embark on a very strong

    out-performance phase in 2011.

    But the transition through this phase depends crucially on risk behaviour.If these observations are sound, then our risk forecast model is crucial for

    determining current Asset Allocation policy.

    In the chart below we show the actual relative risk (or tracking error) behaviour of

    Global Equities vs. Global Govt. Bonds over the last three business cycles (blue trend)

    versus our risk model forecast (red trend).

    It is very evident that risk magnitudes can change a great deal but it is perhaps less

    obvious that in recent months the forecast risk direction has changed significantly. It

    increased sharply in early 2010 before beginning to decline in August.

    This type of behaviour has huge ramifications for the pattern of equity/bond returns.

    Some of our clients have had some difficulty understanding this point from what

    appear to be small movements in the trend pattern of the chart below, so overleaf

    we present a more detailed decomposition that sets out the return impact.

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    variance (rolling 52W)

    variance (rolling 36W)

    forecast

    Global Equities vs. Global Govt. Bonds Volatility and Forecast

    Volatility

    Forecast and actual volatility rises in early

    2010 before rolling over In August!

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    Risk Forecast return decomposition

    The essential technical point to grasp about changing risk magnitude is that small

    changes can have big implications for the tails of the distribution. Essentially, if

    Equity/Bond risk is expanding (and the risk number is greater than in previous cycles),

    and if equities are in an under-performance mean reversion phase, then the

    drawdowns in the sell-offs will be larger compared to previous cycles. We can see

    that in the chart below.

    In the chart above we are looking at a comparison of week-to-week Global

    Equity/Global Govt Bond active return variation for the present cycle (red line) and

    last business cycle (blue line). Putting aside the obvious similarity, in the circled area

    we can see that in the current cycle the week-to-week return movements were much

    more extreme in April-July relative to the same cyclical period in the last business

    cycle phase, and the negative drawdowns tended to be greater than the positivebounces for equities.

    From a portfolio point of view, such analysis not only pointed to being underweight

    Equities relative to Bonds (which was our recommendation in March), the negative

    skew in returns also pointed to the value of some type of portfolio insurance to

    protect against equity downside.

    However, since July, Equity/Bond risk has contracted, and although the change in risk

    might look modest in the chart on page 8, this, coupled with the sea-change to an

    equity out-performance phase, has produced a profoundly different pattern of return

    variation.

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    Global Equities vs. Global Bonds two business cycle return comparison

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    As equity risk expands in Jan-

    April 2010 the magnitude of the

    return swings at the top andbottom of the return range

    increases!

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    Once again we can see this effect in a business cycle comparison. The chart below

    repeats the preceding chart, but this time the period of week-to-week active returns

    from July-Nov this year is compared to the appropriate cyclical period in the last

    business expansion.

    The chart clearly shows that from week-ending July 9, 2010 the active return

    performance for Global Equities vs. Global Bonds has had smaller drawdowns (i.e. the

    extreme negative values in the red line have been smaller than the blue trend, the

    last cycle) and the positive peaks have also been greater in magnitude.

    This is a most curious and not well observed development, and one possible

    explanation for this positive return bias at this juncture is that it simply reflects the

    impact of a Bernanke put, in other words the fundamental support that QE2 is

    providing for risk assets!

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    Global Equities vs. Global Govt. Bonds 2 business cycle

    comparison

    In comparison to Jan-Apr, the

    pattern of active return variation

    in July-Nov 2010 has been biased

    towards more positive values.

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    Current forecasts

    Where does this leave equities?

    Main forecast: Equities are in an out-performance phase relative to Global Govt.

    Bonds. In a normal cycle this pattern will persist even when equities are overbought.All models are predicting this pattern to remain in place, and the bafflingly high

    correlation with the pattern of previous cycles continues to provide further support

    for our model forecasts.

    Main risks: However, IR mean reversion is not entirely complete, which implies that

    Global Equities are still in a period of high pricing uncertainty and remain at risk of

    substantial & sustained sell-offs.

    Indeed, statistically speaking, a period of consistently positive equity returns cannot

    emerge until this pattern changes. That outcome is more likely when the multiple

    worries about current business cycle sustainability have been resolved.

    Possible sell-offs

    As things stand, both our IR and Moving Average forecast models are pointing to a

    great deal of choppiness ahead. Indeed, we should be experiencing now the first

    equity soft-patch (see the volatile red forecast trend in the chart below), with the

    next predicted in January 2011.

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    FTSE World vs. Citigroup World Sovereign Bond

    52W Information Ratio & IR projected

    IR (52W) IR (36W) projected

    We

    are

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    IR forecast model suggests lots of

    volatility ahead

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    The potential for equity sell-offs also appears to be visible in the cycle on cycle

    comparison of Global Equity/Bond active returns (shown again below). That pattern

    also points to a further period of equity weakness ahead and a substantial sell-off in

    April 2011 if the pattern of cycle-on-cycle correlation holds.

    Of course, as we have made plain, the impact of such patterns even if the

    correlation with the previous cycles holds substantially depends on risk variation in

    this cycle. That is something we shall monitor for our clients carefully on a week by

    week basis.

    For now, even with current volatility, all the main Asset Allocation and sector models

    point to a pro-Equity bias as being the most profitable disposition based on current

    statistical evidence, and to high beta equities in particular (sustainable growth has a

    more mixed picture) on a 3 month view.

    John P. Cuthbert BA, MA, MSc

    Independent Financial Economist

    November 22, 2010

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    Global Equities vs. Global Bonds two business cycle return

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    Equity weakness

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    February 2011 With substantial projected

    sell-off in late April 2011 if

    the pattern repeats