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為什么說(shuō)均值回歸意味著股市將迎來(lái)苦日子

為什么說(shuō)均值回歸意味著股市將迎來(lái)苦日子

Shawn Tully 2014-03-31
如果美國(guó)經(jīng)濟(jì)顯露出任何活力,股市最終就會(huì)出現(xiàn)均值回歸的情形。屆時(shí)股票的收益率就很難超過(guò)通脹率,而且隨后的10年將變成一個(gè)漫長(zhǎng)而難熬的過(guò)程。

????眼下,和我們認(rèn)為是“常態(tài)”的長(zhǎng)期趨勢(shì)相比,這么多影響股價(jià)的指標(biāo)都處于如此偏離的狀態(tài),這種情況很少見(jiàn)。公司盈利遠(yuǎn)高于歷史正常水平,利率在美聯(lián)儲(chǔ)(Fed)的干預(yù)之下遠(yuǎn)低于正常值,會(huì)隨著債券收益率下降而上漲的債券價(jià)格似乎也處在不正常的高點(diǎn)上。普通投資者也許會(huì)想到,面對(duì)這樣的情況,棒球明星約吉?貝拉可能會(huì)說(shuō):“‘新的常態(tài)’這么不正常,讓我感到困惑?!?/p>

????由于如此之多的影響因素都處于如此不尋常的水平,投資者很難判斷股票是真的便宜,或者至少定價(jià)合理,還是極為昂貴。華爾街的內(nèi)行們一般都會(huì)說(shuō)股票很廉價(jià),而且會(huì)催促大家更多地買(mǎi)進(jìn);與此同時(shí),通常具有預(yù)見(jiàn)作用的量化基準(zhǔn)指標(biāo)都會(huì)表明,股票的估值已經(jīng)特別高,因而要小心謹(jǐn)慎。到底應(yīng)該相信誰(shuí)呢?

????為了消除這種困惑,我們不妨來(lái)比較一下股票在兩種情形下可能實(shí)現(xiàn)的未來(lái)回報(bào)率。在第一種情形中,我們假設(shè)當(dāng)前指標(biāo)將保持不變,這樣“新的常態(tài)”將在今后幾年延續(xù)下去。在第二種情形中,我們假設(shè)50年來(lái)在大部分時(shí)間里都很流行的指標(biāo)將再次成為主導(dǎo)。第二種情況也就是所謂的“均值回歸”,是指市場(chǎng)各項(xiàng)指標(biāo)向歷史正常水平靠攏的趨勢(shì),牽動(dòng)它們的則是類(lèi)似于重力的經(jīng)濟(jì)力量。

????要搭建這樣的框架,要點(diǎn)就在于估算盈利、分紅、股價(jià)和未來(lái)回報(bào)率的決定因素目前都處于什么樣的水平。然后,我們將按照上面這兩種情形考察一下它們?cè)诮窈?0年中的可能動(dòng)向。CAPE,或者說(shuō)經(jīng)過(guò)周期性調(diào)整的市盈率,是個(gè)絕佳的切入點(diǎn)。建立這項(xiàng)指標(biāo)的是2013年諾貝爾經(jīng)濟(jì)學(xué)獎(jiǎng)得主、耶魯(Yale)大學(xué)教授席勒。他采用的不是當(dāng)前利潤(rùn),而是剔除了通脹因素的10年平均每股收益。這個(gè)項(xiàng)數(shù)據(jù)熨平了一直起伏不定的高點(diǎn)和低點(diǎn)——而現(xiàn)在,我們正處于歷史高點(diǎn)。席勒用標(biāo)普(S&P)指數(shù)目前的平均股價(jià)除以這個(gè)10年平均每股收益后得到了CAPE。

????為什么要相信CAPE?來(lái)自投資策略機(jī)構(gòu)Research Affiliates的羅勃?阿諾特和投資管理公司AQR Capital的克里夫?阿斯尼斯都是投資領(lǐng)域最聰明的人之一。和席勒一樣,他們也認(rèn)為CAPE是衡量股票貴賤的最佳指標(biāo),或者最佳指標(biāo)之一,也是預(yù)測(cè)未來(lái)回報(bào)率的優(yōu)秀向?qū)?。?jiǎn)單地說(shuō),CAPE越低,今后10年的收益就越高,預(yù)期就是這樣。

????目前CAPE為25.4倍。和幾乎所有市場(chǎng)指標(biāo)一樣,現(xiàn)在的CAPE遠(yuǎn)高于正常水平。過(guò)去20年中,CAPE平均為18倍左右,100年來(lái)的平均CAPE還要更低一些。

????按照上述第一種情形,或者說(shuō)“現(xiàn)在即將來(lái)”的假設(shè),我們預(yù)計(jì)今后10年CAPE將保持現(xiàn)有水平。也就是說(shuō),剔除通脹因素后,投資者獲得的回報(bào)率相當(dāng)于1除以CAPE,或者說(shuō)他們的“盈利收益率”為3.93%,就算是4%吧(如果一只股票的市盈率或者CAPE是25倍,它的盈利回報(bào)率就一定是4%)。

????此時(shí)的總回報(bào)率就是4%加上2%左右的通脹率,即6%。它來(lái)自?xún)蓚€(gè)方面。第一個(gè)是每年約1.6%的股息收益率(目前大公司將40%的利潤(rùn)用于分紅),第二個(gè)是每股收益每年增長(zhǎng)4.4%。要知道,每股收益的增長(zhǎng)速度遠(yuǎn)低于公司的整體盈利水平——長(zhǎng)期來(lái)看,公司整體盈利都隨著GDP波動(dòng)。出現(xiàn)這種情況的原因是,一般來(lái)說(shuō)公司每年都會(huì)發(fā)行大量新股,規(guī)模會(huì)超過(guò)它們回購(gòu)的股票,目的是為擴(kuò)張計(jì)劃提供資金。

????這很難稱(chēng)得上是一種美妙的展望,而且和華爾街預(yù)計(jì)的富裕未來(lái)相比,它也有很長(zhǎng)的一段路要走。然而,第二種情況要讓人氣餒得多,從中可以看出均值回歸所隱藏的卑鄙之處。

????Seldom have so many of the metrics that influence stock prices strayed so far from the long-term trends we've come to consider "normal." Corporate earnings are far above what's normal historically, interest rates are way below normal because of Fed intervention, and bond prices that wax when rates wane are hovering at seemingly unnatural heights. The typical investor might echo something Yogi Berra could have said: "I'm confused by the 'new normal' because it's so unusual."

????Because so many influential factors are so unusual, investors struggle to determine if stocks are really cheap or at least reasonably priced, or extremely expensive. Wall Street mavens generally argue that equities are a bargain, and urge you to buy more, while usually prescient, quantitative benchmarks show extra-rich valuations, and urge caution. What to believe?

????To clear the confusion, let's compare the likely future equity returns from two scenarios. In the first, we assume that the current metrics will remain in place, so that the "new normal" persists for years to come. In the second, we predict that the metrics that have prevailed during most of the past half-century return in force. That's called "mean reversion," the tendency for market rates and ratios to go back to their historic norms, tugged by a kind of gravitational economic force.

????To set the framework, it's important to gauge where earnings, dividends, and prices, the determinants of future returns, sit right now. Then we'll examine where they're likely to go in 10 years under the two sets of assumptions. An excellent starting point is the CAPE, or cyclically adjusted price-earnings ratio, developed by 2013 Nobel laureate Robert Shiller of Yale. Instead of using current profits, a highly erratic measure, Shiller employs a 10-year average of inflation-adjusted earnings per share that smoothes the constantly-shifting peaks and valleys -- right now we're at a historic peak. He divides that adjusted earnings number into the current S&P average to arrive at the CAPE.

????Why trust the CAPE? Two of the best minds investing, Rob Arnott of Research Affiliates and Cliff Asness of AQR Capital agree with Shiller that it's either the best, or one of the best, measures of whether stocks are cheap or dear, and an excellent guide to future returns. Put simply, the lower the CAPE, the better the gains in the decade to come, WI.

????Today, the CAPE stands at 25.4. Like almost every market metric out there, the current CAPE is way out of the ordinary -- on the high side. The average CAPE over the last two decades is around 18, and for the past century, a couple of points lower.

????For our first, "now is our future" assumption, we'll project that the CAPE stays at its current level for the next decade. That means investors will get an inflation-adjusted return equal to the inverse of the CAPE, or the "earnings yield," of 3.93%, let's call it 4%. (If a company's PE or CAPE is 25, its earnings yield must be 4%.)

????The total expected return is that 4% plus inflation of around 2%, or a total of 6%. That return comes in two parts. The first is the dividend yield of around 1.6% a year (large companies today pay out about 40% of their profits), and the second is earnings-per-share growth of 4.4% annually. Keep in mind that earnings per share increase at a far slower rate than overall corporate earnings that over long periods track GDP, because companies typically issue large numbers of shares each year, in excess of buybacks, to fund their plans for expansion.

????That's hardly a wonderful outlook, and it's a long way from bountiful future Wall Street expects. But the second scenario is far more daunting. It demonstrates the dastardly meanness in mean reversion.

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