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2003 · 书信 · 原文约 6140 词
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GMO 季度通讯 2004 年 1 月 杰里米·格兰瑟姆,主席

如履薄冰

去年的预测、错误与教训

去年这个时候,我的季度通讯标题是“预测‘内脏’与暂停大熊市的理论依据?”这对于像我们这样喜欢熊市的人来说是个不错的提醒,但公平地讲,我当时认为市场的方向是五五开的局面。全球市场的表现显然让我大吃一惊。我此前预测经济会复苏,但偶尔会令人失望。结果,经济在除就业创造之外的所有方面都比预期更强劲,而就业创造方面仍然疲软。回顾起来,我们很幸运,固定收益在熊市中表现如此出色,以至于变得过于昂贵,导致我们去年初大幅削减了超配仓位,降至中性水平,并将资金转移到更大的外国和新兴国家股票头寸。然而,通过保持固定收益中性,我们错过了增量回报;我们的内部规则不允许我们在股票被高估时超配它们,无论我们的短期“内脏”预测什么。

但从 2003 年学到的教训非常明确:永远、永远不要低估一个政府谋求连任的愿望,以及美联储通常会提供的实质性配合。2003 年见证了前所未有的综合刺激力度,而且由于所有行动都有后果,典型的第三年总统周期看涨和投机性表现比以往更大、更好。而且,无论对错,我变得更加信奉政治作为市场中短期影响力的观点(见附件专题文章)。

2003 年与 GMO 的业绩

货币方面,GMO 的表现大幅跑赢标普指数:GMO 新兴市场 +70.2%,GMO 国际小公司 +67.4%,GMO 国际内在价值 +43.5%,而标普指数仅 +28.7%。(这两个对我们这样的熊市爱好者有利的策略,但公平地说,我认为市场的方向是五五开。我显然对全球市场的表现感到惊讶。)资产配置超配最重的两个策略也是我们相对表现最好的策略:新兴市场 +13.1% 和国际小公司 +13.7%!但正如威尔·罗杰斯会说的那样,这只是我们当初买入的原因。我们在固定收益头寸中也做出了正确的押注,整体头寸接近中性:我们做空基准美国债券(+4%),做多 GMO 新兴市场债务(+36%)、GMO 国际债券(+27%)和 GMO 货币对冲国际债券(+9%)。因此,我们的 GMO 全球平衡资产配置策略及类似组合跑赢了基准 6.5%,甚至在全年保住了标普 500 指数的相对收益,尽管我们的基准中性固定收益头寸为 35%。

对 GMO 来说,艰难的一面在美国股票上,我们努力追赶基准。无论是动量还是价值策略表现都不佳,而且与其他价值方法相比,我们的质量偏好尤其在一个低质量股票表现异常出色的年份里拖了后腿。最终,我们在小盘成长(+0.8%)和小盘价值(+0.3%)策略上勉强获胜,在大盘价值策略上略微失利(-0.1%)。我们的大盘成长组合下跌了 1.5%,美国核心组合下跌了略超 2%。(这么说有点作弊,但两者在本年度的前两周已将去年的缺口收窄了 60% 以上。)我们所有的股票策略,尤其是美国核心策略,都具有强烈的熊市偏好,这些略微负面的结果在我们 23 年美国量化投资的历史中,对表现强劲年份来说非常典型。

GMO Quarterly Letter January 2004 Jeremy Grantham, Chairman Skating on Thin Ice Last Year’s Forecasts, Errors and Lessons Learned currency, outperformed the S&P handsomely: GMO This time last year my quarterly letter was titled Emerging Markets +70.2%, GMO International Small “Predictive ‘Entrails’ and The Case for a Time-out in the Companies +67.4%, and GMO International Intrinsic Great Bear Market?” This was a good heads-up for any Value +43.5% versus an S&P at +28.7%. (The two bears like us, but, to be fair, I thought the direction of the strategies on which asset allocation had the heaviest market was a fifty-fifty proposition. I was obviously overweights were also our best relative performers: surprised how well global markets did. The economy, I Emerging Markets at +13.1% and International Small suggested, would recover, but with occasional Companies at +13.7%! But that, as Will Rogers would disappointments. As it turned out, the economy was have said, is only why we bought in the first place.) We stronger than expected in everything but job creation also had the right bets within our fixed income position, where it remains weak. In hindsight, we were fortunate which was about neutral in total: we had bets against the that fixed income had done so well in the bear market that benchmark US Bond (+4%) in favor of GMO Emerging it had become overpriced, causing us to reduce our Debt (+36%), GMO International Bond (+27%), and substantial overweighting down to neutral early last year, GMO Currency Hedged International Bond (+9%). with the funds moving into larger foreign and emerging Consequently, our GMO Global Balanced Asset country stock positions. However, by staying neutral in Allocation Strategy and similar portfolios outperformed fixed income, we missed incremental returns; our internal their benchmarks by 6.5% and even held the S&P 500 for rules do not allow us to overweight equities when they the year, despite our benchmark neutral 35% fixed are overpriced whatever our short-term ‘entrails’ may income position. predict. Where the year was tough for GMO was in US equities The lesson learned, though, from 2003 is very clear: where we struggled to hold the benchmarks. Neither never, ever, underestimate the desire of an momentum nor value worked well, and our quality bias, administration to be re-elected or the substantial relative to other value approaches, particularly hurt in a cooperation that the Fed will typically provide. 2003 saw year in which low quality did exceptionally well. In the as much combined stimulus as has ever been delivered, end, we just won in our small cap growth (+0.8%) and and since all actions have consequences, the typical third small cap value (+0.3%) strategies and just lost in our year Presidential Cycle’s bullish and speculative spin was large cap value strategy (-0.1%). Our large cap growth bigger and better than normal. And, rightly or wrongly, I portfolio was down by 1.5%, and U.S. Core by just over have become more of a devotee of politics as an 2%. (It is cheating to say this, but both have reduced last intermediate-term influence on the market (see attached year’s shortfalls by over 60% in the first 2 weeks of this Special Topic). year.) All of our equity strategies, and U.S. Core in particular, have a strong bear market bias, and these slightly negative results were typical of our performance 2003 and GMO’s Performance in very strong years over the 23 years of our US quantitative investing.

不过,在大多数情况下,你不会因为没持有某样东西而挨枪子,而是因为你确实持有它。我们固定收益投资组合今年表现强劲,而我们预测中极其正确的一点是,国际债券的配置顺序,其业绩跑赢基准超过 8%。我们押注于外国发达市场,尤其是新兴国家债务,这一年又是表现非凡,新兴市场股票和小盘股也表现出色,最终领先近 11 个百分点!

In most cases, though, you are not shot for what you don’t own but what you do own, and the part of our Our fixed income portfolios had a strong year with prediction that we got very right was the ordering of International Bond up over 8% to its benchmark and performance. We bet on foreign developed, particularly Emerging Country Debt having another remarkable year, emerging equity and small cap, which, helped by finishing nearly 11 points ahead!

总而言之,对于 GMO(尤其是中国基金)来说,这是非常令人满意的一年,美元走软,在这样的市场强劲上涨年份中表现相当出色,或许还有随之而来的贸易战。在资产增长方面甚至可能更为成功,我们的资产规模从 230 亿美元增长到 540 亿美元,这是公司历史上无可比拟的最强劲的一年。2005 和 2006 年的前景看起来可能糟糕透顶,因为政治周期的“清理阶段”(所有第一年和第二年的行情中有半数都是下跌的!)恰好遇上可能危险的高额债务以及严重高估的市场——而 2000 年 3 月那些藏身之所——房地产投资信托基金、债券、小盘股和价值股——都涨得太过了,对自身并无益处。我们将尽力保护账户,在单个基金中提升质量,对于资产配置,则会利用新的 GMO 优质基金(针对美国股票)以及很可能推出的新的 GMO 实物资产基金(尚未做出决定是否推进)来操作。不情愿地(也许用“嚼玻璃”形容更贴切),我们也会重新增持固定收益基金,即便它们仍然被高估。我们不会在那里承担不必要的风险,更倾向于将其视为一种必要的避风港。但所有这些至少还要等几个月才会实施。

2004 年展望

作为总统周期理论的新信徒,我认为我们有很大概率看到一个相对稳定的股票市场年份。市场的价值,在一年期基础上从来不像理性投资者希望的那样重要,在第三年根本无关紧要,但在第四年,它几乎能发挥正常作用,而显而易见的是,以正常利润率的 25 倍计算,这是一个严重高估的市场。然而,刺激计划力度很大,经济已经做出响应,这种势头是一个明显的利好。一月效应(在第三年也完全无关紧要)在今年会回归,给出它通常有用的信号。平均而言,价值股(或低增长股)在第四年也往往表现最佳,或许只是为了弥补第三年对成长股过度追捧的缺陷。我的结论是,经济、利润和市场很可能在上半年表现相当不错甚至更好,在下半年随着刺激效应消退以及市场高估的压力显现,表现会差一些。

(一月效应是指市场一月份的表现有预测随后 11 个月走势的倾向。例如,疲弱的一月份之后,市场表现低于平均水平的可能性是强劲一月份之后的三倍以上。即使是市场主题,尤其价值、规模和质量因素,在一月份也有很好的预测记录:例如,如果小盘股在一月份表现疲弱,它们在当年剩余时间内跑输大盘的可能性是正常情况下的 2.5 倍以上。)

更长期展望:“一个黑洞”

2004 年该怎么办?

2004 年的前景并不差,但市场非常高估,所有预测指标对明年和后年都不利。

纯粹主义者的投资立场很明确:市场被高估,投资者应该回避!但正如我们一再痛苦地认识到的那样,这种策略的问题在于,高估的市场确实可能持续上涨,而这个高估的市场在短期内还有不少利好因素。务实立场(希望这不是太贪婪)是,政治上的道德风险时期仍与我们同在,谨慎而平衡地承担风险才是正道。我们目前的作战计划是,在一月份之前维持一切不变,然后到六月份之前,逐步降低某些单个基金和资产配置的风险,降至大致中性水平。(请记住,我们在一些激进的资产类别中持有非常大的头寸:新兴市场股票和国际小盘股。)六月份之后,计划是稳步进入防御状态,到年底达到最大程度的保守。所有这些都会根据不断变化的数据和可能的信心丧失而进行调整。

All in all, it was a very satisfactory year for GMO’s (particularly China’s), a deflating dollar, and, quite performance in such a strong up year for the markets, and possibly, ensuing trade wars. perhaps even more successful on the asset growth front, with our asset base growing from $23 billion to $54 The outlook for 2005 and 2006 looks about as bad as it billion, incomparably the strongest year in our history. could get as the house-cleaning phase of the political Our emphasis going forward will be on very controlled cycle (half of all first and second years are down!) meets growth. Half of our asset base is in products that are the potentially dangerous excess debt and the badly closed to new accounts or in very limited growth mode. overpriced market in which the hiding places of March We expect to limit or completely stop the growth of the 2000 – REITs, bonds, small cap, and value – have all great majority of our funds in the next 5 years if they done far too well for their own good. We will try to continue to attract assets. I write this touching wood. protect accounts as best we can, upgrading quality in Thank you for your confidence in us – we will do our individual funds, and for asset allocation, using the new very best to justify it. GMO Quality Fund for US equities and quite possibly a new GMO Real Assets Fund, for which the go-ahead decision has still not been made. Reluctantly (chewing The Outlook for 2004 glass might be a better description), we will also move As a new devotee of the Presidential Cycle, I think we back into overweighting fixed income funds, even if they can count on a high probability of a relatively stable stock are still overpriced. We will take little unnecessary risk market year. The value of the market, which on a 1-year there, and see this more simply as a necessary haven. basis never matters as much as sensible investors would But, all this still lies at least a few months out in the like, simply does not matter at all in year three, but in future. year four, it has an almost normal effect and obviously at 25 times normal profit margins, this is a very overpriced market. However, the stimulus program was profound What to Do in 2004? and the economy has responded and this momentum is an The outlook for 2004 is not bad, but the market is very obvious positive. The January Effect (which also does overpriced and all predictors look bad for next year and not matter at all in year three) reverts to giving its usual, the year after. useful signal this year. On average, value stocks (or low growth) also have their best year in year four, perhaps just The purist’s investment position is clear: the market is making up for year three’s overdoing it with growth overpriced and investors should duck! The problem with stocks. My conclusion is that the economy, profits, and this strategy, as we have all painfully learned over and the market are likely to do quite well or better in the first over again, is that an overpriced market can really run, half, and less well in the second half, as the stimulus runs and this overpriced market has quite a lot going for it in out and the overpricing of the market is felt. the near term. The pragmatic position, which I hope is not too greedy, is that the political period of moral hazard (The January Effect is the tendency of the market’s is still with us and careful and balanced risk taking is the performance in January to predict the next 11 months. A percentage shot. Our current battle plan is to leave weak January is over three times more likely to be everything untouched through January and then slowly followed by below average performance than is a strong reduce our risk in some individual funds and allocation January, for example. Even market themes have a good through June to about neutral. (Remember, we have very January record, particularly value, size, and quality; for large positions in some aggressive asset classes: example, if small stocks are weak in January, they are emerging equity and small cap international). After June, over 2½ times as likely as normal to underperform for the the plan would be to steadily batten down the hatches, rest of the year.) reaching maximum conservatism by year-end. All of which would be subject to revision based on changing The Longer-Term Outlook: ‘A Black Hole’ data and possible loss of nerve.

长期来看,我们必须担心各级别债务的持续膨胀,以及金融资产和房地产——这些已被过度宽松的货币政策和过度的道德风险所吹大的泡沫——所蕴含的风险。不幸的是,我们在 2004 年面临的“如履薄冰”的危机中,还得操心失业型复苏和操纵汇率的问题。我确信——但远非绝对肯定——前面讨论的那些长期问题(将影响所有国家)在接下来 6 个月甚至今年之内都不会爆发。如果事情提前变糟,我觉得美元计价下,美国的表现很可能不如“其他地区”整体,但让我们祈祷薄冰能撑住吧。

总统任期第三年和第四年市场走强的本质,在于政府及其盟友美联储隐含的承诺——他们会出手解决任何意想不到的问题。而第四年的一个潜在隐患是,他们几乎已经打光了所有弹药。利率可以再降一点,但空间不大;税收可以再减一些,但幅度也有限。从财政角度看,减税显然荒谬,从政治角度看又是玩世不恭,但政府真的、真的很想连任,所以我们不能排除这种可能。真正的风险在于:经济突然出问题,而政府和美联储提供的那点帮助被市场视为杯水车薪或毫无效果。如果发生这种情况——我估计到 6 月之前发生概率不到五分之一——市场很可能会下跌。6 月之后,道路颠簸的几率可能更高,因为 2002 和 2003 年刺激计划的效果将逐渐消退。这个概率也许高达三分之一,但不会更高了,因为经济增长势头不错,且绝大多数经济学家都预测实际 GNP 增长率将达 4.5%,他们偶尔也能蒙对一次。

还有一种可能是,尽管经济和公司盈利增长不错,但市场本身的严重高估会导致下跌——这大概是我内心那个价值投资者在试图接管理智。可悲的事实是,虽然市场估值水平对下一年业绩有一定预示作用(见专题讨论),但价值的预测能力远不如基金经理们期望的那么可靠。高估的市场继续上涨的例外情况比比皆是;这些大多发生在第三年,有些在第四年,但老实说,很少出现在第一年和第二年。在 5 年或 10 年的跨度上,价值是很好的预测指标,但在 1 年跨度上,总统周期的效力更强,1 月效应的效力同样强。不幸的是,短期“噪音”和“随机事件”在 1 年时间尺度上的影响力,比上述三个因素中的任何一个都更大。

新兴市场股票中,最便宜的板块很有吸引力。在投机性的市场阶段,它吸引着投机者,而 2003 年是有记录以来投机范围最广的一年。本地新兴经济体强劲、在改善,更重要的是,比发达世界更强。阿尔琼·迪维查(Arjun Divecha)的研究表明,它们并不特别容易发生金融危机。它们的货币中性偏强,近期市场表现优异,鼓励了此前流向国外的本地财富回归本土市场。最后,美国机构现在正争先恐后地投资这个流动性相当差的市场。还有什么不喜欢的呢?在美国市场持平或更好、且没有突发意外(比如中国危机)的情况下,新兴市场今年初可能直接上涨 30%、40% 甚至更多。

有人认为新兴市场股票涨得太好了。图 1 展示了更长期的视角。自 1988 年新兴市场指数推出以来,出现过三次巨幅的相对走势——两次是新兴市场跑赢标普 500 指数,但新兴市场指数自成立以来仍需上涨近 30% 才能追上标普 500 指数。如果本·英克(Ben Inker)和我的公允价值估计正确,且两个指数明天都回归公允价值,那么新兴市场将弥补差距并最终领先。更重要的是,新兴市场目前市盈率仍不到去年盈利的 14 倍,远比美国其他选择便宜。在这个效率极低的资产类别中,阿尔琼·迪维查 10 年来每年能带来 6% 的超额收益,这也不赖嘛!

EAFE 相对美国

过去 35 年我们有可靠数据的记录中,EAFE 相对美国的估值差距从未如此之大。

图 1:波动剧烈,但新兴市场自成立以来仍落后

IFC 可投资指数相对标普 500 指数相对强度

(IFC -49%)

(标普 500 +140%)

(IFC 107%)

(标普 500 +18%)

In the longer run, we have to worry about extended debt at all levels, and financial assets and housing that have The Risks in 2004 of Skating on Thin Ice been inflated by too much monetary ease and too much I am confident – but far from certain – that the long-term moral hazard. Unfortunately, we also have to worry problems already discussed, which will affect every about a jobless recovery, rigged exchange rates country, lie out beyond the next 6 months and probably GMO Quarterly Letter – January 2004 2 this year. If things go wrong earlier I think it is likely cheapest segment of equities. It appeals to speculators in that, in dollar terms, the US will do worse than ‘the rest’ speculative market phases, and 2003 was the most collectively, but let’s hope the thin ice holds. broadly based speculative year on record. The local emerging economies are strong, improving, and better The essence of the strength in the third and fourth year of yet, stronger than the developed world. Arjun Divecha’s the Presidential Cycle is the implicit offer by the work suggests that they are not particularly vulnerable to Administration and its ally, the Fed, to try to fix any a financial crisis. Their currencies are neutral to strong, unexpected problems that may turn up. Another potential and their recent market performance is excellent, problem for this fourth year may be that nearly all their encouraging local wealth invested abroad to return to ammunition has already been used up. The interest rates local markets. Finally, US institutions are now clamoring can come down a little, but not much. Taxes can be cut, to invest in this quite illiquid market. What’s not to like? but probably not by much. It would obviously be fiscally In a flat or better US market and without a sudden bolt ridiculous and politically cynical to cut taxes, but out of the blue, like a Chinese crisis, emerging could go administrations really, really want to be re-elected so we straight up 30%, 40%, or more early this year. can’t rule it out. So the real risk is that something goes unexpectedly wrong with the economy and that the help It is argued that emerging market equities have done too offered by the Administration and Fed is seen to be too well. Exhibit 1 shows the longer-term view. Since the little or ineffective. In this event, which I would place at index for emerging markets started in 1988, there have less than one in five or so through June, the market would been three prodigious relative moves – two in favor of probably decline. After June, the odds of a bump in the emerging relative to the S&P 500, but the emerging index road are probably higher, as the incentives from the 2002 still has to rally almost 30% to catch up since inception. and 2003 stimulus programs will be wearing off. Perhaps If Ben Inker and I are correct in our estimates of fair the odds are as high as one in three, but probably no value, and if both indices moved to fair value tomorrow, higher, for the economy has a decent head of steam and a emerging would have closed the gap and be nicely ahead, broad consensus of economists is predicting a strong finally. More to the point, emerging is still under 14 4½% real GNP growth, and once in a while they get to be times last year’s earnings, much cheaper than US right. alternatives. Being a very inefficient asset class where Arjun Divecha has added 6% a year for 10 years doesn’t There is also some chance that the sheer overpricing of hurt either! the market will cause it to fall, despite decent growth in the economy and corporate earnings, but this is probably EAFE Relative to the US the value manager in me trying to take over. The sad The gap in relative value in favor of EAFE has never truth is that although the value of the market is a decent been wider in the last 35 years for which we have decent indicator of the next year’s performance (see Special Topic), value is not as reliable an indicator as managers would like. There are plenty of exceptions where overpriced markets rise; most of these are in year three, Exhibit 1: Volatile, But Emerging Behind and some are in year four, but, for the record, few are in Since Inception of IFC Investable Index years one and two. Over 5 and 10 years, value is a great 2.5 Relative Strength of S&P 500 Relative IF C - 4 9 % predictor, but over 1 year, the Presidential Cycle is S &P 5 0 0 +14 0 % stronger and the January Effect equally strong. And 2.0 unfortunately, short-term ‘noise’ and ‘random events’ have an even greater effect on a 1-year horizon than any IF C 10 7 % 1.5 S &P 5 0 0 +18 % of these three factors.

与 IFC Investable Index 1.0 对比 | 2004 年优选组合 | IFC +300% | 新兴市场股票 | 0.5 | 标普 500 指数 +98% | 未来几个月的明星似乎仍将是新兴市场股票;在我看来,它只需要美国市场稳住就行。新兴市场 | 0.0 | 1988 年 12 月 – 2003 年 | 季度信函 – 2004 年 1 月 | GMO 数据。去年以本币计算,国际发达市场 | 林业 | 股票的表现逊于标普 500 指数,且仅因美元走弱才对美国投资者实现了超额收益。林业投资唯一相关的数据是 | 其他一切,因为林业或多或少是一个常数。话已至此。 | 相对于价值的空前优势应能在未来几年带来出色的相对表现,但需承认,就绝对价值而言,EAFE 指数 | 略有高估,若出现大幅下跌,其与美股的相关性使其难以独善其身;不过,它可能跌得少得多。 | 广泛的投资机会都缺乏吸引力,在美国,其缺乏吸引力的程度几乎前所未有。

to IFC Investable Index 1.0 The Picks of the Litter for 2004 IF C +3 0 0 % Emerging Market Equities 0.5 S &P 5 0 0 +9 8 % The star for the next few months seems likely to continue to be emerging markets equity; all it needs, in my 0.0 Dec- 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 opinion, is for the US market to hang in. Emerging is the 3 Quarterly Letter – January 2004 GMO data. Last year in local currency, international developed Forestry equities underperformed the S&P and only outperformed The only relevant data for forestry investing is the for US investors because of the weak dollar. The attractiveness of everything else, since forestry is more or unprecedented advantage in relative value should result less a constant. Enough said. in excellent relative performance over the next several years, although it should be recognized that in absolute The broad range of investment opportunities are terms, EAFE is a little overpriced and in a major decline unattractive, and in the US, about as unattractive as they its correlation with the US makes it unlikely to do well; it have ever been. is, though, likely to go down substantially less.

2004 年预测模型(另见专题讨论)非美元投资 我和 GMO 新来的尼克·南达尝试构建了一个粗略的预测模型,用于预测 1 年期以及 1 月之后的 11 个月,模型使用三个因子:总统选举周期年份、1 月行情强弱、以及市场的整体估值水平。去年我们做了异常大的做空美元押注,结果美元比我们预想的还要疲弱。今天,按购买力平价衡量,美元大致合理,但我们很难想象,在贸易赤字高达 5000 亿美元的情况下,美元还能出现大幅、持续的上行。此外还存在一种风险:投资者可能对美元失去信心,把钱从新兴市场等地撤回国内,导致美元存款外流,从而形成自我强化的下行循环。我们仍保留了相当规模的做空美元头寸,但必须承认,这一次比一年前做空美元的情形更为危险——一年前,美元的价值与赤字状况是吻合的。总统选举周期因素显示,今年出现大幅下跌的概率很低,收益区间在 -1% 到 +19% 之间(第四年的这一区间,以一个标准差计算,仅为其他三年的一半)。当前市场估值偏高,表明收益将落在这个区间的下四分之三,即 -1% 到 +14%。如果 1 月下跌,则全年收益区间为 -1% 到 +10%;如果 1 月上涨,则为 +5% 到 +16%。本月的专题研究是一个更花哨(或者说过度设计?)的模型。

2004 Predictive Model (see also Special Topic) Non Dollar Investments Nick Nanda, a fairly new arrival to GMO, and I have tried We had an unusually large bet against the dollar last year to put together a rough and ready model to predict 1 year and it was even weaker than we had expected. Today, in ahead and the 11 months after January using three factors: purchasing parity terms, the dollar is about right, but it is the year of the Presidential Cycle, the strength of January, hard for us to imagine that with a trade deficit of half a and the overall value of the market. For this year, the trillion dollars the dollar is likely to make a large, Presidential Cycle suggests a low probability of a major sustained upward move. There is also some risk that decline, and performance in the -1% to +19% range. investors might lose confidence in the dollar and by (This range for the fourth year, shown for one standard bringing money home – in emerging countries for deviation, is only half that of the other 3 years.) Current example – out of dollar deposits, create a self-reinforcing overpricing of the market suggests performance will be in downward cycle. We retain substantial anti-dollar the lower three quarters of this range, or -1% to +14%. exposure, but it must be admitted that once again, this is January, if down, would suggest a -1% to +10% year, and on thinner ice than the case a year ago against the dollar if up, a +5% to +16% year. Our special research topic when value and deficits agreed. this month has a fancier (more over engineered?) model.

免责声明:过往业绩不代表未来结果。本文所表达的观点仅代表杰里米·格兰瑟姆及 GMO 的立场,不构成任何投资建议。

Disclaimer: Past performance is not indicative of future results. The views expressed herein are those of Jeremy Grantham and GMO and are not intended as investment advice.

GMO 季度通讯 – 2004 年 1 月 4 期 GMO 专题 2004 年 1 月 杰里米·格兰瑟姆,董事长 预测股市:一年期视角 第一部分:再谈总统周期 可能非常独立,但自 1932 年以来,美联储与行政部门的组合打造了一个异常高效的团队。这个团队巧妙地将失业率压到选举前一路走低,并带来一个可能并非有意为之的结果:第三年股市上涨,随后第四年股市异常稳定,波动率仅为正常水平的一半(见图表 5)。这不正是任何政客梦寐以求的局面吗?第三年采取强硬甚至冒险的举措,然后让一切趋于稳定,再温和地添上几把火,也许声势大于实质,在选举前稳妥地推动局面向前。好吧,信不信由你,他们已经把这一套打磨成了一门艺术。这是团队协作还是撞了大运,数字本身看不出来。

总统周期研究工作一个令人愉悦的特点,就是发现它多么合乎逻辑。一个很好的例子是新政党上台与连任政党相比的不同效果。当然,两者都需要在第一年和第二年创造腾挪空间,以便在第三年和第四年实施刺激。但新政党有现成的替罪羊来为必要的清理工作背锅。“看看那些无能之辈给我们留下了怎样的一堆烂摊子,我们现在必须收拾干净。因为与他们不同,我们在财政上是审慎的。”因此,不出意料,我们发现尽管老党派的行动会在第一年和第二年打压市场,但新政党的打压力度更大。同样不足为奇的是,打压得越狠,新政党获得的反弹幅度也比连任政党更大(见图表 6)。

还有迹象表明,民主党任期内市场总体表现优于共和党任期。这是我们尚未完全消化的谜题的一部分,而且我们目前仍不认为它令人信服。不过,它确实为我们的一个预期提供了些许安慰:我们指望的第四年低波动,在共和党第四年要显著低于民主党第四年(见图表 7)。我们没有使用这个输入,因为它似乎把数据切得太碎了,但最坏的情况下它也无害,最好的情况下它则为我们正在使用的低波动数据提供了一点安全保障。

GMO Quarterly Letter – January 2004 4 GMO Special Topic January 2004 Jeremy Grantham, Chairman Predicting the Market on a 1-Year Horizon Part I: Yet More on the Presidential Cycle may be very independent, but since 1932 the combination Exactly a year ago, I reintroduced this topic with the data of the Fed and the Administration has created a summarized in Exhibits 1 & 2. It became, in the second remarkably effective team that has engineered falling half of the year, a training research project for Nick unemployment through to the election and, as probably Nanda, who recently joined us fresh from college. It unintended consequences, rising stock prices in the third seems to have developed a life of its own because the year followed by an incredibly stable stock market in the more we dig, the more it reveals. First of all, it is fourth year with half the normal volatility (see Exhibit 5). compellingly easy to understand and appreciate. We Isnt this exactly what any politician would desire? know that politicians would like to be re-elected. What is Strong, sometimes risky action in year three and then let surprising is how effective they have been at influencing things stabilize with just a little more of the same, the economy to advance their cause. It turns out that perhaps more visible than real to nudge the game along in changes in unemployment have a much stronger a safe way up to the election. Well, believe it or not, they correlation with voting swings than changes in GNP have got this down to a fine art and whether this is growth (see Exhibit 3). And why wouldnt they? GNP teamwork or good fortune the numbers do not reveal. growth is a fairly nebulous concept to the voter in the One of the nicer features of this Presidential Cycle work street, but unemployment is, in contrast, simple and has been finding how logical it all is. A good example is concrete. Anecdotally, people are also well aware of the effect of a new party in power compared to a re-those around them who lose jobs. Well, by trial and error, elected party. Of course, they both have to create elbow or sheer talent, administrations have learned to have room in years one and two to have room to move and unemployment rise on average in years one and two, fall create stimulus in years three and four. But a new party quite rapidly in year three, and drift slowly down to its has someone to blame for the necessary house cleaning. cycle low in the fourth year (see Exhibit 4). Not bad! In Look at what a mess weve been left by those comparison, the shifts in GNP, or productivity, are barely incompetents, which we now have to clean up since, measurable. What is measurable, though, is the effect on unlike them, we are fiscally prudent. Not surprisingly, the stock market. What traditional stimulus there is – therefore, we find that although the old partys actions money supply, tax cuts, and interest rate cuts – is not as drive the market down in years one and two, a new party much as we expected; in fact, it is quite modest and its drives it down more. Equally unsurprisingly, having impact on growth is even more modest. The stimulus, driven it down more, the new party benefits from a bigger though usually modest, has a more powerful effect on the bounce than a re-elected party (see Exhibit 6). market than the economy as funds, which often cannot be effectively absorbed by the economy in the short-run, run There is also some indication that markets do better in off into the financial system. But even this indirect effect general in Democratic terms than for Republicans. This of stimulus is not nearly enough to fully explain the is one part of the puzzle we have not fully digested and market effect. The real driver of the market is what the we do not yet find it convincing. It does, though, come Fed and the administration say: it is about jaw boning with some reassurance on one of our expectations: the and moral hazard. Basically, the powers that be are low volatility in year four that we are counting on is saying to the market that should anything unexpected go substantially lower for Republican fourth years than wrong in the run-up to the election, they will ride to the Democratic fourth years (see Exhibit 7). We have not rescue. If you have ever wanted to speculate, now is the used this input as it seems to be slicing the data pie too time is the sub text, and seldom has this been made thinly, but at worst, it cannot hurt and at best it gives us a clearer than Chairman Greenspan spelling out that rates little safety margin on the low volatility number we are will stay low way into the future. The Federal Reserve using.

第一年和第二年的上限并非异常,低质量表现持续存在。前两年平均跑输 5.5%,而在强劲的第三年之后表现相当不错,但价值行情出现反转——分别跑输 3.8%,其中整整一半年份下跌,并且遭遇了增长型风格迄今为止最惨烈的碾压,这与周期最后两年形成鲜明对比。第三年——回到周期中最强劲的一年时——好消息是,一月效应和市场本身的预测能力都比过去两年显著增强。因此,11 个月后我们将进入周期中最弱的年份,届时市场很可能是历史上两三个最定价过高的市场之一,同时道德风险通常也会彻底消失。

The First and Second Years caps are not exceptional, low quality continues to do The first 2 years underperform on average by 5.5% and quite well after a strong year three, but value reverses – 3.8% respectively and fully half of these years are down having had by far its worst stomping on by growth in year in complete contrast to the last 2 years of the cycle. The three – coming back to its strongest year of the cycle at good news is that the January Effect and the value of the 5½% over average. market are both substantially more predictive than in the last 2 years. So, in 11 months we will enter the weakest Part II: The January Effect year of the cycle with (probably) one of the two or three The fact that the January performance has predicted the most overpriced markets in history and the complete balance of the year has been known for years, just like the removal, normally, of any moral hazard.

总统周期效应。其有效性可能源于一个无可争议的事实:我们大多数人在总统任期第三年年底,都会坐下来为税收、资本收益、投资组合配置,尤其是年终奖金的安排而忧心忡忡。这是大多数人唯一会停下来问自己的时刻:我们觉得明年会是什么样子?好消息是,就像所有市场无效性一样,思考其成因在智识上饶有趣味,但并非必要。由于总统周期在逻辑上清晰明确,在数据上显著有力,我比一年前更加印象深刻。刚刚结束的这一年是典型的第三年。诚然,这一年的实际市场刺激力度高于平均水平,道德风险也更为明显。这理应让第三年的特征更加突出。

Presidential Cycle. It probably derives its usefulness from the indisputable tendency of most of us to sit around Year Three of the Cycle at the end of each year and worry about taxes, capital Because the Presidential Cycle is clear in its logic and gains, the disposition of portfolios, and, particularly, the clear and powerful in the data, I have become more use of year end bonuses. Its the only time most of us sit impressed than I was a year ago. The year just finished back and ask ourselves, What do we think this next year was a classic year three. It had, to be sure, more actual is going to be like? The good news, is that, like all market stimulus than average and even clearer moral hazard. inefficiencies, it is intellectually interesting to think what This should have caused the year three characteristics to causes them, but it is not necessary.

这种偏离只需要比正常情况更加显著,而理解并衡量所发生后果的影响恰恰需要如此。第三年的表现远强于平均水平。有证据表明,投资者的回报(自 1932 年以来为 +9.5%),而这次接近 +20%。一月份效应在加速显现——通常情况下,这一月份是全年增长最为强劲的月份,而今年一月份也是如此。过去 25 年中,这一效应虽然仍然效果显著,但其有效性也在提升。在增长最为强劲的前 30% 的股票中,其涨幅虽然可观,但比最初预测的估值低了三分之一。这些股票持续跑赢市场,最终领先近 10 个百分点(见图表 10)。(需要说明的是,在日益怪异的会计操作下,市净率这类增长代理指标已完全失效。而高估值与低估值股票的对比,以及增长预期的差异,却仍能捕捉到历史上增长与价值周期的相同特征,与市净率不同。)第三部分:市场的价值 当前市值与未来表现之间的相关系数随时间推移而上升,在 10 年时达到令人欣慰的 0.71。

It is only necessary be even more pronounced than normal, and this is exactly to understand and to measure the consequences of the what occurred. Year three is much stronger than average behavior. There is some evidence that investors are (+9½% since 1932), and this one was almost +20%. It is picking up on the January Effect as the average typically by far the best year for growth, and this one was effectiveness over the last 25 years, although still excellent too. The 30% of stocks with the best growth substantial, is a third less than its original predictive estimates steadily outperformed the market and ended up power (see Exhibit 10). almost 10% ahead. (For the record, price to book type Part III: The Value of the Market proxies for growth have completely broken down under increasingly odd accounting practices. High versus low The correlation coefficient of current market value and growth estimates, however, capture the same historical future performance rises with time, and at 10 years it is a flavor of the old growth/value cycles and unlike price to heart warming .71.

3 年期的相关性仍处于合理水平为 0.44,账面指标仍然表现良好。但 1 年期的相关性已降至 0.26。要理解小盘股为什么在第三年表现最佳(这恰好解释了其在市场波动中所占的比例),答案在于道德风险所催生的投机环境。为此必须加以校正:在 1 年期,解释力只有大约 7%。另一个更令人信服的方法是:自 1927 年以来,最便宜的 20% 市场在随后一年的表现跑赢剩余 80% 市场 10 个百分点;也就是说,如果你剔除所有第三年,最便宜的 20% 市场仍比其余 80% 市场高出 10 个百分点。第三年之所以显著增强,恰恰体现在这个年份。而 2003 年就是这样一个非同寻常的年份——罗素 2000 指数跑赢标普 500 指数 19 个百分点,低质量股票跑赢 7 个百分点。(图表 8 展示了典型的第三年数据,以及 2003 年的对比情况。)

At 3 years, it is still a reasonable .44, book are still working well.) Low quality stocks and but at 1 year, it is down to .26. To find out what small caps have their best year in the third year as befits percentage of the market move this explains, it is the speculative environment that moral hazard produces, necessary to square this, so at 1 year, the explanatory and this third year 2003 was a doozy. Russell 2000 beat power is only about 7%. Another more confidence the S&P by 19% and low quality won by 7%. (Exhibit 8 inspiring way to approach this is to say that since 1927, shows the typical year three data and how 2003 the cheapest 20% of markets have outperformed over the compared.) following year by 10%; that is, if you excluded all year threes, the cheapest 20% beat the remaining 80% by 10 The substantial added strength of year three comes with percentage points.

这听起来很暖心,但这种策略只是小幅降低了波动性,以至于过去 18 年中只有 2 个第三年出现下跌,而且跌幅都很轻微。然而,围绕这一现象的变异性大得令人沮丧,导致许多廉价年份反而上涨,许多昂贵年份反而下跌;其次,过去 35 年的记录显示,总统周期第三年的效应范围缩小到了 7 个百分点(见表 11)。尽管如此,7 个百分点的差距给人的感觉远比 0.26 的相关系数更有说服力,因为正是分布的两端极端值才促使我们在 GMO 下重注,所以你们不难理解,这种粗糙的分析方法——只关注分布中最高和最低的 20%——对我们来说通常比相关系数更有用。

第四年

总统周期的第四年也很有意思。

This sounds heart warming, but has slightly reduced volatility so that only 2 of the last 18 two drawbacks. First, there is a dishearteningly large third years have been down, and those just barely. The variability around this, so that many cheap years decline Presidential Cycle effect in the third year is in fact so and many expensive years go up, and second, the record powerful that our other useful 1-year predictors – the for the last 35 years is down to a 7 percentage points value of the market and the January Effect – have spread (see Exhibit 11). Still, a 7% spread feels a lot absolutely no influence on them; third years simply go more impressive than a .26 correlation coefficient and up. Because of this, we study the other two variables since it is only the tail ends of distributions that induce us excluding all third years. to bet heavily at GMO, you can easily see why this rugged type of analysis – focusing only on the highest The Fourth Year and lowest 20% of a distribution – is usually more useful Year four of the Presidential Cycle has interesting to us than correlation coefficients.

(如展表 9 所示,这是第三年的特征。相比之下,其最显著的总统周期就像一把砍肉刀。它最可靠的特点是股市涨幅极低,仅 9.5%,且波动性略低,因此波动率较小。其回报率平均而言几乎正常;18 年中仅 2 年下跌,且跌幅很小。)

(Year three of the characteristics as shown in Exhibit 9. Its most distinctive Presidential Cycle is, in comparison, a meat cleaver. It and reliable feature is its extremely low stock market adds 9½% and with somewhat lower variability, so that volatility. Its return is, on average, almost normal; small only 2 years out of 18 are down, and those barely.)

GMO 预测市场:一年期视角,2004 年 1 月 然而,在最近 30 个 1 月份里预测能力的下降,对那些信奉均值回归的人来说,令人不安。这是怎么回事?难道是价值投资被用得太多,以至于正在丧失效力?还是短期动能和其他噪声变得更大——鉴于过去 7 年的疯狂表现,这倒很有可能。为了检验这个假设,我们考察了价值指标在 3 年期和 5 年期持有区间上的预测能力,结果惊讶地发现,在 3 年和 5 年维度上,尽管数据本身相当强劲,但依然远远落后于 1932 年到 1967 年那段时期耀眼的数据(见图表 12)。这引出了一个重要但并不太令人意外的结论:要想靠价值策略取胜,你必须做好忍受更大噪声、更大痛苦和更长时间的准备。

GMO 2 Predicting the Market on a 1-Year Horizon, January 2004 But still, the decline in predictive power in the last 30 Up January years is disturbing to worshipers of mean reversion. Given where the S&P stands currently, it is hard to What is going on here? Is value, surprisingly, being used imagine that January will register as a down month. so much that it is losing its power? Or is short-term Assuming that January ends up at a reasonable +2% we momentum and other noise becoming larger, a likely can expect the overall year to be in the top half of our candidate given the high jinks of the last 7 years. To test range i.e., +9% to +20% or, in other words, the remaining this hypothesis, we looked at the predictiveness of value 11 months of the year will return between +7% and for 3- and 5-year holding periods and were surprised to +18%. While January might give us a positive signal, find that at 3 and 5 years the numbers, although quite there is no escaping the fact that on a value basis this is strong, were again well behind the dazzlingly strong data one of the most overpriced markets in history, so we need of 1932 to 1967 (see Exhibit 12). This raises an to bias our estimate downwards to the lower two-thirds of important, but not too surprising issue: to win on value, our range, which leaves us at +7% to +14%. Adding back you must be prepared for increasing noise and greater our assumption of a +2% January, we are predicting an pain and time on average before you win. overall return of +9% to +16% for 2004.

这看起来不太像是一套能吸引大批策略师用长期价值来碰运气的公式。预测 9% 至 16% 的涨幅似乎确实有点过于乐观了,但我们感到安心的是,执政党正处于其第一个任期,而从历史周期来看,第三年和第四年在新政府下的表现通常优于连任政府。在新政府下,周期的第四年几乎录得了接近 15% 的涨幅,与此相比,我们预估的 9% 至 16% 就显得合情合理了。还有什么新鲜事呢?事实上,这让我们对凯恩斯在《通论》著名的第 12 章产生了有趣的反思——他在那章里哀叹选择长期价值而非短期动量或选美比赛所带来的职业风险。真是个懦夫!他提出这点时,基于价值的 1 年和 5 年预测的力度和可靠性是现在的两倍!如果有什么数据能强化我们的信念——即几乎全部火力都应押注在那些离群值上,那这就是了,因为只有在这些序列中最外面的 20%(甚至更少)里,才存在可靠的预测力,而最外面的 10% 显然更好。即便如此,当然仍有大量痛苦要承受。

一月下跌

如果一月出现下跌——虽然可能性不大,那么我们需将主要预估的 2% 至 20% 的涨幅调整到该区间的下半部分,即 -2% 至 9%。即便假设一月下跌 1%,这意味着二月至十二月期间应能录得 -1% 至 10% 的涨幅。

This does not seem to be a formula likely to have an army The prediction of +9% to +16% does appear a little of strategists lining up to try their luck with long-term optimistic, but we take comfort in the fact that the party value. What else is new? Indeed, this casts an interesting in power is serving out its first term, and, on average light on Keynes famous Chapter 12 of his General years three and four of the cycle do better under a new Theory, which moans of the career dangers of choosing administration than under a re-elected party. Under new long-term value over the relative safety of short-term parties the fourth years of the cycle have returned almost momentum, or the beauty contest. What a wimp! He +15%, and compared to this figure, our estimate of +9% made this point when 1- and 5-year predictions based on to +16% seems appropriate. value were twice as powerful and reliable as they are now! If ever there was data to reinforce our belief that Down January almost all firepower should be kept for outliers, this is it, In the unlikely event that January is a down month, we for it is only at the outer 20% at most of these series that need to move our primary estimate of 2% to +20% there is reliable power, and the outer 10% is surely better. towards the bottom half of this range i.e., -2% to +9%. Even then there is, of course, plenty of pain to go around. So assuming a -1% January, this implies the February to December period should return between -1% and +10%.

第四部分:综合研判

由于一月下跌后市场依然高估,根据我们过去六个月研究的所有数据,我们需要为此扣除一个负值。因此,从预测区间顶部剔除三分之一后,我们得到的估算为 -1% 至 +6%,这似乎表明有三个因素决定了市场在未来一年时间框架内的表现:

■ 总统周期预测全年 -2% 至 +5%

■ 一月效应

■ 估值(价格与十年追溯市盈率)

总结

诚然,总统周期效应缺乏足够的数据点来使我们的所有结果具有统计显著性。

Part IV: Putting it all Together Since a down January still leaves the market overpriced, From all the data we have studied these past 6 months, it we need to take a debit for that. So, slicing off the top appears that three factors signal the outcome of the third of our range gives us an estimate of -1% to +6%, market on a 1-year time horizon: which after subtracting the down January, leaves us „ Presidential Cycle predicting -2% to +5% for the entire year. „ January effect Summary „ Value (Price to 10-year trailing earnings) Admittedly, the Presidential Cycle effect lacks sufficient data points to make all our results statistically significant.

自 1932 年以来,标普 500 指数在日历年的平均实际回报率为 9%,而总统周期第四年(2004 年是第四年)的平均回报率也大致相同。假设第四年历来偏低的波动率(11%)在 2004 年依然保持,那么标普 500 指数的回报率应在 -2% 到 +20% 之间(9% ± 11%)。此外,我们对市场分析在某种程度上有粗糙之处——比如用四分法研判 1 月效应或价值因素对市场的影响。不过,鉴于我们的发现具有令人惊讶的逻辑性,以及所有这些因素如此巧妙地契合在一起,我们的估算很可能比完全忽略中期趋势要好得多。然而,如果市场格局突然破裂,实际结果可能大相径庭。

免责声明:过往业绩不代表未来结果。本文表达的观点仅代表杰里米·格兰瑟姆和 GMO 的看法,不构成投资建议。

Since 1932, the average real return for the S&P in a Also, there is a certain crudeness to our decilization or calendar year has been 9% and the fourth years of the quartilization approach of figuring out the January Effect Presidential Cycle (2004 is a year 4) have averaged about or the impact of value on the market. However, given the the same. Assuming that the characteristically low surprisingly logical nature of our findings, and how volatility of year 4 (11%) continues to hold through 2004, neatly all these factors fit together, our estimates are the S&P should return somewhere between -2% and probably better than ignoring the intermediate term +20% (9% ± 11%). As mentioned earlier, volatility under completely. The actual outcome, though, could be very Republican administrations tends to be about half of what different if the ice breaks. it is under Democrats. While we are not explicitly using this knowledge in our prediction, it certainly reinforces our belief that there is a low probability of a huge upward Disclaimer: Past performance is not indicative of future results. or downward move in the market this year. Lets now The views expressed herein are those of Jeremy Grantham and GMO incorporate the January effect into our estimate. and are not intended as investment advice.

预测一年期市场走势(2004 年 1 月)

GMO 图 1:总统周期各年份的市场回报(1932-2003 年)

图 4:总统周期各年份的失业率水平相对于均值的变化(1948-2003 年)

标普 500 指数 12% 6.1% 9.5% 6.0% 平均超额实际回报 6.0% 8% 失业率 5.9% 4% 5.8% 5.7% 5.7% 5.6% 0% 5.6% -0.3% 5.5% -4% 5.4% -3.8% 5.4% -5.5% -8% 5.3% 1 2 3 4 1 2 3 4 选举周期中的年份 选举周期中的年份

  • 这里列出的数字与我们 2003 年秋季会议展示的数字略有不同,因为我们将平减指数从 PPI 调整为 CPI。

Predicting the Market on a 1-Year Horizon, January 2004 3 GMO Exhibit 1: Market Returns for the Years of the Exhibit 4: Level of Unemployment in the Different Presidential Cycle Relative to Average (1932-2003)* Years of the Presidential Cycle (1948-2003) 12% 6.1% 9.5% 6.0% Average Excess Real Return 6.0% 8% Unemployment Rate 5.9% 4% 5.8% 5.7% 5.7% for the S&P 500 5.6% 0% 5.6% -0.3% 5.5% -4% 5.4% -3.8% 5.4% -5.5% -8% 5.3% 1 2 3 4 1 2 3 4 Year in Election Cycle Year in Election Cycle * The numbers presented here are slightly different from those shown at our 2003 Fall Conference because we have switched from PPI to CPI as a deflator.

附表 2:总统周期各年份中上涨年份与下跌年份之比(1932-2003 年) 附表 5:市场波动性(1932-2003 年)

10 25% 标普 500 指数平均波动率

8:1 19.3%

8 20% 上涨年份与下跌年份之比

6 5:1 15% 11.1%

4 10%

2 5% 1:1 1:1¼

0 0%

1 2 3 4 全部年份 周期中的第 4 年

附表 3:利用失业率、GDP 和市场回报解释选票变化 附表 6:新政党连任党市场回报率,按选票排序

30% 新政党 失业率下降 GDP 增长 市场上涨

24.2% 连任党 1952-2000 年

平均回报

20% 1 20.1 10.2 0.9

2 2.0 11.8 11.1 13.9% 14.7%

3 1.6 1.7 9.7 标普 500 指数回报率

上表中的数字代表在任政党赢得的选举人团票数与另一政党票数之比。

失业率下降:1 代表在选举前一年失业率下降幅度最大的年份,3 代表失业率上升最多的年份。

GDP 增长:1 代表在选举前一年实际 GDP 增长最大的年份,3 代表 GDP 增长最少的年份。

市场上涨:1 代表在选举前一年标普 500 指数涨幅最大的年份,3 代表涨幅最小的年份。

10% 7.7%

5.6% 4.9%

2.0% 0.9%

0%

第 1 年 第 2 年 第 3 年 第 4 年

Exhibit 2: Ratio of Up Years to Down Years for the Years of the Presidential Cycle (1932-2003) Exhibit 5: Market Volatility (1932-2003) 10 25% Average Volatility of the S&P 500 8:1 19.3% 8 20% Ratio of Up Years to 6 5:1 15% 11.1% Down Years 4 10% 2 5% 1:1 1:1¼ 0 0% 1 2 3 4 All Years Year 4's Year in Cycle Exhibit 3: Explaining Vote Swings Using Exhibit 6: Market Returns for Unemployment, GDP and Market Return New Party vs. Reelected Party Votes Sorted by 30% N e w P a rt y Decline in Increase in Market 24.2% R e - E le c t e d P a rt y 1952-2000 Unemployment GDP Gain Average Returns 20% 1 20.1 10.2 0.9 2 2.0 11.8 11.1 13.9% 14.7% 3 1.6 1.7 9.7 for the S&P 500 The numbers above represent the ratio of Electoral College votes won by the incumbent 10% 7.7% party to votes of the other party. Decline in Unemployment: 1 represents those years where 5.6% unemployment reduced the most in the year leading up to the election and 3 represents 4.9% those years where unemployment increased the most. Increase in GDP: 1 represents those 2.0% 0.9% years where real GDP had its biggest increase in the year leading up to the election and 3 represents those years where GDP increased the least. Market Gain: 1 represents those 0% years where the S&P 500 had its biggest gains in the year leading up to the election and 3 Year 1 Year 2 Year 3 Year 4 represents those years where the S&P 500 had its smallest gain.

GMO 预测 1 年期的市场走势,2004 年 1 月

图表 7:与图表 10 相关的波动率:

政党(1932-2003 年)预测未来 11 个月

标普 500 指数回报率 19.3%

五分位 1936-1967 年 1968-2003 年 标普 500 平均波动率 15% 13.7%

1 18.8% 13.9% 11.1%

2 3.0% 6.7%

3 20.0% -4.0%

4 -1.4% -1.2%

5% 5 -3.9% -2.4%

0% 所有年份 所有年份 第 4 年 第 4 年 第 4 年

剔除所有第 3 年 民主党执政下 共和党执政下

1 代表标普 500 指数涨幅最大的那些 1 月,5 代表标普 500 指数跌幅最大的那些 1 月

图表 8:比较 2003 年与一个平均的第 3 年

图表 11:价值因子作为短期(1 年)预测指标

标普 500 指数回报率 40% 第 3 年 34.3%

五分位 1927-2003 年 1968-2003 年 相对回报率

1 14.0% 8.0% 30% 20.1%

2 9.4% 2.6% 20%

3 5.1% -1.1% 9.5%

4 0.5% 0.5% 10% 6.1% 7.3%

5 1.4% 4.5% 4.5% 1.8%

0% 全部剔除第 3 年 标普 500 成长 vs. 小盘 vs. 低质量

2 3

1 代表基于市价/10 年平均每股收益估值最便宜的年份,5 代表最贵的年份 大盘 vs. 高质量

图表 9:第 4 年相对于平均值的表现

图表 12:价值因子作为长期预测指标

标普 500 指数回报率 10%

1932-1967 年 1968-2003 年

相对回报率 5% 2.9%

五分位 3 年 5 年 3 年 5 年

0.3% 0% 1 63.7% 97.6% 31.7% 74.6%

-0.3% 2 56.4% 75.1% 22.0% 31.7%

-5% 3 14.2% 61.4% 12.0% 41.4%

-5.2% 4 15.2% 35.2% 16.5% 24.1%

-10% 5 15.3% 19.6% 20.5% 50.0%

标普 500 成长 vs. 小盘 vs. 低质量

第 3 年没有被剔除 大盘 vs. 高质量

1 代表基于市价/10 年平均每股收益估值最便宜的年份,5 代表最贵的年份

1 标普 500:1932-2003 年

2 成长 vs. 价值:1960-2003 年

3 小盘 vs. 大盘:1961-2003 年

4 低质量 vs. 高质量:1960-2003 年

预测 1 年期的市场走势,2004 年 1 月

5 GMO

GMO 4 Predicting the Market on a 1-Year Horizon, Janaury2004 Exhibit 7: Volatilities Relating to Exhibit 10: January Political Parties (1932-2003) Predicting the Following 11 Months 25% S&P 500 Return 19.3% 20% Quintile 1936-1967 1968-2003 Average Volatility 15% 13.7% 1 18.8% 13.9% 11.1% 2 3.0% 6.7% of the S&P 500 10% 7.0% 3 20.0% -4.0% 4 -1.4% -1.2% 5% 5 -3.9% -2.4% 0% All Year 3’s have been excluded All Years Year 4's Year 4's Year 4's 1 represents the Januaries where the S&P 500 experienced its biggest gains and 5 represents Under Under the Januaries where the S&P 500 experienced its biggest losses Democrats Republicans Exhibit 8: Comparing 2003 to an Average Year 3 Exhibit 11: Value as a Short-Term (1-Year) Predictor 40% Year 3 34.3% S&P 500 Return 30% Quintile 1927-2003 1968-2003 Relative Return 1 14.0% 8.0% 20.1% 20% 15.2% 2 9.4% 2.6% 3 5.1% -1.1% 9.5% 10% 6.1% 7.3% 4 0.5% 0.5% 4.5% 1.8% 5 1.4% 4.5% 0% All Year 3s have been excluded S&P 500 Grow th vs. Small vs. Low Quality 2 3 1 represents the cheapest years and 5 the most expensive on a Price/10-year trailing Value Large vs. High earnings basis Quality Exhibit 9: Performance in Year 4 Relative to Average Exhibit 12: Value as a Long-Term Predictor 10% S&P 500 Return 1932-1967 1968-2003 5% Relative Return 2.9% Quintile 3-Year 5-Year 3-Year 5-Year 0.3% 0% 1 63.7% 97.6% 31.7% 74.6% -0.3% 2 56.4% 75.1% 22.0% 31.7% -5% 3 14.2% 61.4% 12.0% 41.4% -5.2% 4 15.2% 35.2% 16.5% 24.1% -10% 5 15.3% 19.6% 20.5% 50.0% S&P 500 Grow th vs. Small vs. Low Quality Year 3’s have not been excluded Value Large 3 vs. High Quality 4 1 represents the cheapest years and 5 the most expensive on a Price/10-year trailing earnings basis 1 S&P 500: 1932-2003 2 Growth vs. Value: 1960-2003 3 Small vs. Large: 1961-2003 4 Low Quality vs. High Quality: 1960-2003 Predicting the Market on a 1-Year Horizon, Janaury2004 5 GMO