Saturday, 23 January 2010

Gloves off - Active versus Passive Funds.. Round1

The rise of Exhange Traded Funds ('ETFs') is now becoming interesting and has really energised the whole 'active-passive' debate in the last 2 years. Pioneered in the UK by Barclays (IShares) there has been an increasing number of new entrants into the UK market, which are far more dynamic in both product and marketing than the 'trackers' of old.. Once there was not much challenge for active fund managers since trackers were pretty uncompetitive and agricultural beasts, offering exposure to a handful of markets..and really for the pie n chips TESSA/PEP/ISA and pension brigade.. UK FTSE100 or Global Equity were typical..

Now companies such as Vanguard, IShares and Dimensional are keeping active managers on their toes.

Current largest ETF providers in the International (non-US) market: Source Ronin Research



Active managers have been under fire for many years in proving and justifying their alpha and management charges. Back in 2006 I remember Garbriel Burstein of Reuters fame presenting about 'alpha as the factor of betas'.. what he meant was that very little 'alpha' could actually be found on investigation - indeed many of the founders of CAPm and MPT (Capital Asset Pricing model and Modern Portflio Theory) refined the original crude calculations to account for this (the basic formula are still the ones used in fact sheets today). In reality many active managers just bought more risk or got lucky on the timing.. some were in fact passive in tracking an index but still charging for an active approach.. naughty naughty! Back then I opposed such a view but in 10 years of fund analysis it's true that I have found little alpha that I could confidently attribute back to a fund manager.

There are 2 distinct polarised sides to this debate - Active managers who charge an investment fee to beat the market and the 'Passive' managers who charge less to provide the returns of the market. However the situation has become increasingly muddied by the introduction of Active-Passive funds from the likes of 7iM (Seven Investment Mgt) and IShares (Blackrock) adds another dimension and more difficult options for the investor. These are Fund of Funds ('FoFs') where the manager invests in low cost ETFs instead of actively managed funds.. nifty! It's fair to say that they offer multi-manager funds (and FoFs) a lifeline as they have been long-derided for their 'double tap' charging..

So - on one hand active managers will point towards the creation of 'alpha'.. that is the residual return over markets, and revel in the fact that indices do have a habit of levelling out over the longer-term (leaving ISA investors with 0% after 3-5 years). On the other side ETF and passive fund providers point out that few active manager funds can actually generate 'alpha' consistently and over-charged for the priviledge.
2 things are largely unknown in the UK today - 1) does active or passive return the best returns - there is so much propaganda on both sides that investors have little chance of knowing; nor is active and passive performance adequately benchmarked to allow investors make a fair decision. 2) when do active and passive strategies perform (for the same reason) and thus which offers the best bang for your buck.

In my experience passive funds tend to do well in the early-mid-phase of a recovery and thus low drag is key; when it's hard to beat the index. Active managers take the advantage in the mid-late phase as the market becomes more frothy and outright index returns less prominent (2nd phase).

 In favour of Passive funds: (not neccessarily old style 'trackers')
  1. 'WYSIWYG' - i.e. transparency = if the FTSE100 moves up 10% - so does your ETF (some active sectors allow for a broad array of approaches than can mislead the investor; others are opaque in nature and difficult to understand)
  2. Low cost - often it's easy to trade ETFs with flat fees - generally an investor can enjoy a much lower )or zero) annual fee (reduction in yield, 'RiY'). The TER of most active funds will be around 1.5-2.5% p.a. The charging structure of ETFs suits investors who like to keep any investment advice distinct from their investment allocation
  3. Past performance is, relatively speaking, easier to attribute to an ETF than an active fund
  4. Mobility - it's easier and cheaper to move in and out of ETFs through online trading (active maangers rely on reoccuring fee structures - it is not in their interests to have short-term assets and as such they often penalize those who try to withdraw their money within 6-18mo of investing.. some might say this is not 'TCF' friendly; albeit perfectly 'legal' in the current market
  5. No people risk - there is no risk of errors, no threat of a loss of a key manager etc, generally speaking there are no good or bad ETFs (lenders perhaps) so choice between ETFs in the same sector comes down mostly to ease of access and price 
  6. Liquidity - ETFs appear to be easy to trade with a deep market to SELL when you want, usually same day; (active managers can delay in selling out and returning your assets). This also tends to minimize FX risk
  7. An ETF is individually unaffected by the inflows/outflows of the fund manager or how big/deep the market becomes (some fund managers can become hamstrung when trying to handle large sums; some mandates need large sums to have buying power and struggle if they lose assets - victims of their own success/failure)
  8. There is no need to benchmark an ETF (relative return is a sin of the active management industry imo - benchmarks are often chosen on ability to be beaten and often deviate substantially from the fund; composites on the other hand lack real-world or transparency for the investor
  9. All past performance can be attributed back to the ETF/index without need to check for changes in people, process or portfolio - comers back to WYSIWYG
  10. Diversification - you can buy one ETF to cover 500, 5000, 25,000 stocks... they are also easier to allocate into a larger portfolio with less chance for overlap or unwanted concentration (fund managers are known to drift, rotate which makes tracking your active exposure very tricky - most only report their top 10 holdings on a monthly basis)
  11. Investor control - the ability to tactically manage your own targets and take you rown view on markets
  12. Generally speaking ETFs suit those investors whom want to invest for the short-medium term
In favour of Active funds: (open-ended; closed funds such as Investment Trusts are different)
  1. Clarity of process and position against the market - a 'people' element
  2. The promise of diversification and stock selection to minimize downside
  3. In some cases a higher beta strategy (like a growth fund) will be expected to outperform in a rising market by buying smaller companies or weighting in favour of more cyclical sectors (E.g. Technology)
  4. Income managers can use cash flow to diversify the risk of price volatility - known as a total return strategy
  5. Active managers can plan when to BUY and SELL - to time the market and take advantage of price drops, avoid price bubbles, herding or capitalise on over-liquidity in certain sectors
  6. Through superior analysis active managers can potentially spot inefficiencies in the market such as a stock price and take advantage
  7. Some active managed funds are designed to suit a certain attitude to risk or investment horizon (risk based and target maturity funds) - this allows the investor to largely fire n forget their investment until such time they want to encash or change, useful for those who prefer to avoid financial advice
  8. Most actve managers can hold alternate assets for limited times or rotate to cash in the event of a downturn - some managers have perfected this to become 'all weather' managers
  9. Most active managers can now hedge their long-positions (it's less easy to hedge efficiently through ETFs) and they can also hedge their FX exposure when investing overseas
  10. Some strategies such as Absolute Return are difficult to index and thus recreate as an ETF, they are designed to be less cyclical and (all other things being equal) then past performance could be a better indicator for that type of strategy than for a 'blind' index product (this is FSA blastphemy I know!!)
  11. There remains more choice of strategy among active managers than in passive funds; (the gap is narrowing)
  12. Many active funds offer different share classes to suit investor needs; some offer currency protection when enchashing units in a fund denominated in a different currency
  13. More modern boutiques are beginning to offer performance-related fee structures
  14. Increasing use of single NAV pricing (OEICS, SICAVs) means there is usually no bid-offer spread to worry about at encashment
  15. Generally speaking active funds suit those investors whom want to invest for the medium-long term
So the first point to make here is that neither can be a 'single solution' no matter what the providers or advisers tell you - active will suit some; passive others.

Passive funds often do better on the downside than active; (unless the manager is particuarly good at being defensive) due to lower Reduction in Yield (the 'RiY'). This comes down to simple costs v returns. Most active managers will continue to charge even when returns in their Fund are falling! The resulting cancellation of units then not only increases losses but it also comprimises the subsequent recovery. Key here is the implications on mainstream active fund managers applying performance-linked fees.. In the UK there is a skewed perception we have of index products such as ETFs being only equity-based. In fact there is a broad range of asset classes available.. given the large asset rotations it's plausible that passive strategies are an easier way to manage your asset allocation against herding and sentiment risks.. Europe and the US have already taken advantage and the UK will be next.

Passive charges = [Flat trading charge on entry (usually <1%), flat charge on exit (usually <1%), typically no annual charge, price Bid/Offer spread (market quoted, typically 2-5%) on sale.]

Active charges = [Initial charge (can be up to 6%), total annual charge which can include: management fee, admin fee, custodial fee, distirbution fee (typically 1.5-2% p.a.), price Bid/Offer spread (typically 5%) on sale unless mid-point priced, early redemption fee (can be up to 5%) on some funds in the first 1-3 years.]

Outcome = As a rough estimate of the above then any given ETF may cost the investor 7% (usually much less) in fees over a 3 year period; compared to anywhere between 9.5%-17% over the same period for an active fund. IF assuming reinvestment over those 3 years, similar underlying assets and a growing market, then the impact annual charges would have on a compounding return would make that difference even greater (c.2.5%-10%)!! This places a great amout of onus on the active maanger to at least find a residual for the same level of risk, over the ETF, or return even more gains, proportionally to the risk taken (hence more skill).

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. What then for the rise of active-passive funds? Such funds will rely heavily on asset-allocation and avoiding unneccessary churning of their positions to keep trading costs down. Again this comes down to what premium is being charged for this investment 'skill', how easy such composites will be to benchmark and whether returns prove that active-passive is more than a neat re-packaging trick. For more info please feel free to refer to my CCC 'ETF' guide below the blog. I will re-jig it in the next cpl of weeks to make it a better read; (I'll be the first to admit it's a bit muddled.. stay tuned!). You could also consider building up your own logic grid to compare an active versus passive fund (see how by reading my guide on 'Choosing Mutual Funds - ')..

I suspect Active-Passive funds will take some benefits from both sides but I doubt they will offer the best of both..

Active management is all about trust - the money remains yours; you entrust it to an 'expert' to invest better than you can. If they consistently can do no better than what is available to you already, and for less, then you are simply paying a premium for a placebo.. a peace of mind which may or may not be misplaced. In truth I suspect this is exactly what a large % of the UK retail market is being encouraged to do.. it is the fear that has helped the retail pooled investment industry grow for many years.

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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