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Why we do need to actively manage an equity portfolio during earning releases period? Julien Messias, Uncia Asset Management – [email protected] http://eqderivatives.com/ Earning releases periods can be defined by : - The fact that it is impossible to forecast any market reaction on any earnings release. - Focusing on market reaction to fundamental data release rather than to fundamental data itself, it is possible to take profit from this period of inefficiency. Earnings releases : a lottery Even if it is very difficult to admit for our Equity Analysts friends, all the empirical data available show that it is impossible to predict the market reaction following an earnings release. Thus, we need to distinguish the fundamental aspect (Turnover, EBITDA) which is less impredictible, from the price signal aspect, the latter, even looking at fundamental data already released, remaining impossible to predict. Empirically, the specific move, linked to earnings release, is on average null, on a statistical perspective, its distribution exhibiting a very high leptokurticity. Therefore, for an Asset Manager whose aim is to optimize his Sharpe ratio, it is not worthwhile to keep the positions over the earnings (assuming transaction fees and liquidity fees to be marginal). Let’s remind at this stage Daniel Zajdenweber in his book « L’économie des Extrêmes » : "Admitting that we had, between 1983 and 1992, as many days up as days down at the New York Stock Exchange (NYSE), hypothesis often verified on the other stock exchanges, including Paris (D. Zajdenweber [1994]), then the main part of the index increase occured during roughly 3% of the business days, or 8 days per year. […] Empirical Distribution of the returns over the earnings release. In red, PER >25. In black, PER<25. Universe: S&P500 + Nasdaq100. 2003-2015. Source: Uncia AM, Bloomberg

Why We Do Need to Actively Manage an Equity Portfolio During Earning Releases Period

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Earning releases periods can be defined by :- The fact that it is impossible to forecast any market reaction on any earnings release.- Focusing on market reaction to fundamental data release rather than to fundamental data itself, it is possible to take profit from this period of inefficiency.

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  • Why we do need to actively manage an equity portfolio during earning releases period?

    Julien Messias, Uncia Asset Management [email protected]

    http://eqderivatives.com/

    Earning releases periods can be defined by :

    - The fact that it is impossible to forecast any market reaction on any earnings release. - Focusing on market reaction to fundamental data release rather than to fundamental

    data itself, it is possible to take profit from this period of inefficiency.

    Earnings releases : a lottery

    Even if it is very difficult to admit for our Equity Analysts friends, all the empirical data available show that

    it is impossible to predict the market reaction following an earnings release. Thus, we need to distinguish

    the fundamental aspect (Turnover, EBITDA) which is less impredictible, from the price signal aspect, the

    latter, even looking at fundamental data already released, remaining impossible to predict.

    Empirically, the specific move, linked to earnings release, is on average null, on a statistical perspective,

    its distribution exhibiting a very high leptokurticity. Therefore, for an Asset Manager whose aim is to

    optimize his Sharpe ratio, it is not worthwhile to keep the positions over the earnings (assuming transaction

    fees and liquidity fees to be marginal).

    Lets remind at this stage Daniel Zajdenweber in his book Lconomie des Extrmes : "Admitting that

    we had, between 1983 and 1992, as many days up as days down at the New York Stock Exchange (NYSE),

    hypothesis often verified on the other stock exchanges, including Paris (D. Zajdenweber [1994]), then the

    main part of the index increase occured during roughly 3% of the business days, or 8 days per year. []

    Empirical Distribution of the returns

    over the earnings release.

    In red, PER >25. In black, PER

  • For the practitioner, this phenomenon is an anxiety factor, because it means that the few extreme daily

    variations count by far more in the yearly performance than the very numerous small variations. ". Thus,

    the yearly performance of an asset manager or a financial asset relies on 8 to 10 daily performances

    The Asset Manager should remain very low-profile when facing such period of high uncertainty. But we

    may wonder: How to turn earnings releases from a risk into a source of alpha?

    PEAD, what is it ?

    PEAD means Post-Earnings-Announcement-Drift. It is a behavioral bias studied since 1968 and the original

    article by Ball & Brown An Empirical Evaluation of Accounting income Numbers . Since then, many

    researchers have been going through this effect over the last 50 years, especially in the US. Although

    many interpretations exist, the broad philosophy remains quite simple, but so counterintuitive...The aim

    is to follow the trend over weeks or months, buying a stock after a spike over the earnings, or selling a

    stock after a dip over the earnings : this is the opposite of managing a portfolio through the upsides, that

    remains a very mean-reverting approach. Many papers by Bouchaud, Potters and al. (Two Centuries

    of Trend-Following ), plead for this trend-following approach. But it needs a very harsh discipline, the

    latter being very difficult to stick to, given the human characteristics of investors. The explanations of the

    success of PEAD rely on the time needed to interprete and digest the information by some main financial

    actors.

    First, the main financial institutions often deal with very strict investment processes. This makes their

    reaction time lasting when new information arrives : Investment Comitee needs to be gathered

    Then, lets speak about the equity analysts:

    Financial analysts are known to be market movers and have a significant impact on many stocks,

    especially analysts from bulge-brackets banks. The Equity Analysts lag, when arriving new information,

    is empirically proven, the point is to get benefit from it : when new significant information arrives (with a

    very sharp move of the underlying), the analyst first has to reexamine the inputs of his model, then write

    down his investment case, and eventually release it. This process does not happen instantaneously, it

    takes some time: this is the reason why the impact of the analyst on the stock price only occurs some

    weeks later. Moreover, do you think it is likely after a very sharp move up (resp. a very sharp leg down),

    that the equity analyst downgrades (resp. upgrades) his Target Price? No, because the analyst forecasts

    the pursuit of the trend and then feeds the trend-following aspect of the market.

    This strategy seems simple as an investment philosophy, but is quite complex to deal with. It needs a very

    rigorous follow-up, and perfectly fits universes known as Momentum, such as Nasdaq 100 and Nasdaq

    Composite in the US. In Europe, this strategy is very difficult to put in place because the information

    release occurs in two stages: the Earnings Release (ER) before the market opens, releasing the past

    accounting data, and the Earnings Call (EC) occurring during the market, during which the management

    of the company discloses the guidances, i.e future information. Thus it is very common to notice very

    large market moves from the Earnings Release , to after the Earnings Call . In the US, the information

    is simultaneous, with Earnings Release , and Earnings Call occuring After-Market with a 30 minutes

    lag, the following days open price taking into account the full information (ER+EC).

    The Equity Analysts lag

    Source : CFA

  • This investment universe, known as Momentum is one of the main field of expertise of Uncia AM, the

    French High Growth specialist. This way of managing asset is very different from the traditional value

    way of investing; applying the value investor recipes in this Momentum universe may lead to catastrophe.

    Therefore, in addition to the fundamental criteria through our stock-picking that remains our DNA we

    optimize our way of investing by taking PEAD effect into account in our market timing. This is the result of

    a long research on the 4 main US indices (Standard & Poors 500, Russell 2000, Nasdaq100 and Nasdaq

    Composite), the last two being the best proxies of our style. We run the study from 2003 to 2015, thus

    with different markets environment. Conclusions are:

    This strategy is robust, regarding all the checks done, the scientific methodology applied and the sample

    used (more than 200 000 publications).

    For instance, the historical composition of these indices has been used to avoid any survivorship or birth

    bias in the sample used and issues linked to liquidity as discussed before (every stock with market

    capitalization less than 1 Bln USD was excluded).

    The PEAD produces abnormal return statistically positive, even if positive signals seem more robust than

    negative signals (Nasdaq Composite graph and Nasdaq 100).

    In orange the strategy applied to the

    Nasdaq Composite universe

    Maxdrawdown : -11.18%

    In blue, the benchmark HFRIEHI.

    Maxdrawdown : -30.59%

    Source : Uncia AM

  • Using systematically this strategy can be used as a predictor of the corresponding index. The investors

    over reaction after a result publication is an indicator of their mood and risk aversion. If investors over

    react more on good news rather than after bad news we could conclude that their mood is more optimistic

    than pessimistic. So, the strategy will create an implied net positive exposure.

    The graph shows that, on the Nasdaq Composite, the strategy non-market neutral (with a net exposure

    related to signals from the PEAD) outperforms significantly the market neutral strategy, particularly in

    2008 (sharp drop of the market) and 2013 (strong rise of the market).

    In orange the strategy applied to the

    Nasdaq 100 universe

    Maxdrawdown : -7.79%

    In blue, the bechmark HFRIEHI.

    Maxdrawdown : -30.59%

    Source : Uncia AM

  • To summarize, many investors are skittish and reticent to invest in the Growth style, given the

    outperformance of the Value style as illustrated by Fama and French in 1997 in Value vs Growth: The

    International Evidence. According to Lancetti, this underperformance of the Growth style, over a long

    period of time, is the direct consequence of the investors overreaction on negative for Growth shares

    which is very significant, whereas for Value stocks, the latter do not suffer as much.

    Therefore, controlling this effect, growth style and value style have equal performance over a long period

    of time.

    Welcome in the PEAD and its Smart Earnings universe!

    Uncia AM is the French specialist of High Growth management style. For more information, go to our

    website www.uncia-am.com or [email protected]

    In orange, the strategy applied to

    the Nasdaq Composite universe,

    non-market neutral,

    Maxdrawdown : -11.18%

    In blue, the strategy applied to the

    Nasdaq Composite universe, market

    neutral.

    Maxdrawdown : -11.81%

    Source : Uncia AM

    http://www.uncia-am.com/mailto:[email protected]