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華爾街高科技交易員令人擔(dān)憂

Scott Cendrowski 2012年06月27日

《財(cái)富》書(shū)簽(Weekly Read)專(zhuān)欄專(zhuān)門(mén)刊載《財(cái)富》雜志(Fortune)編輯團(tuán)隊(duì)的書(shū)評(píng),解讀商界及其他領(lǐng)域的新書(shū),。我們每周都會(huì)選登一篇新的評(píng)論,。
高頻交易員的出現(xiàn)使得美國(guó)股市進(jìn)一步淪落為高風(fēng)險(xiǎn)的投資場(chǎng)所。事實(shí)上,,堪薩斯州的一家共同基金公司在期貨市場(chǎng)做了一份賣(mài)空就有可能會(huì)引發(fā)拋售的連鎖反應(yīng),,從而在短短幾分鐘內(nèi)導(dǎo)致整個(gè)股市崩盤(pán)。

????還記得那次閃電式大崩盤(pán)嗎,?2010年5月6日,道瓊斯工業(yè)平均指數(shù)在短短幾分鐘內(nèi)暴跌600點(diǎn),。市值達(dá)1,650億美元的消費(fèi)品巨頭寶潔(Procter and Gamble)在幾秒鐘內(nèi)就遭受了37%的損失,。埃森哲(Accenture)和愛(ài)克斯龍(Exelon)跌至每股1美分。所有股票齊齊跳水,。

????然而在接下來(lái)的一瞬間,,一切又都恢復(fù)了正常。市場(chǎng)收復(fù)了幾乎所有失地,。問(wèn)題是,,沒(méi)有人能解釋剛剛發(fā)生了什么。就算你是摩根士丹利(Morgan Stanley)的大客戶(hù)也沒(méi)用,,就是沒(méi)有答案,。

????記者最終還原了整個(gè)事件的原委。原來(lái),,堪薩斯州的一家共同基金公司在期貨市場(chǎng)做了一份賣(mài)空,,因此引發(fā)了拋售的連鎖反應(yīng)。在某些方面,,這種解釋比我們之前一無(wú)所知的狀態(tài)更可怕,。難道美國(guó)股市已淪落到這種地步嗎?一只堪薩斯州的蝴蝶扇動(dòng)了一下翅膀,,就會(huì)導(dǎo)致整個(gè)股市崩盤(pán)嗎,?

????在《暗池交易》(Dark Pools)一書(shū)中,《華爾街日?qǐng)?bào)》(Wall Street Journal)的記者斯科特?帕特森解釋了我們陷入這場(chǎng)混亂的原委,。有個(gè)問(wèn)題已經(jīng)在華爾街蔓延十多年了,,而閃電崩盤(pán)只不過(guò)是它最主要的癥狀,。高速交易員,也被戲稱(chēng)為高頻交易員,,因?yàn)樗麄兠棵脒M(jìn)行的股票買(mǎi)賣(mài)能達(dá)到數(shù)千次,,遠(yuǎn)遠(yuǎn)超過(guò)股市。

????一方面,,他們提供持續(xù)的流動(dòng)性,,使得普通投資者不用向納斯達(dá)克或紐約證券交易所的中間商(所謂的做市商)支付驚人的價(jià)差。另一方面,,他們的不透明技術(shù)已為我們上演了諸如閃電崩盤(pán)的慘劇,。

????作為一名長(zhǎng)于數(shù)學(xué)的財(cái)經(jīng)記者,帕特森善于深挖有關(guān)高速交易——華爾街新寵——的生動(dòng)報(bào)道,。他的上一本書(shū)《寬客》(2010年)詳盡描述了量化交易員的全新世界,,他們利用計(jì)算機(jī)算法來(lái)處理交易中的苦差事。而在《暗池交易》中,,他則瞄準(zhǔn)了市場(chǎng)上的跳水現(xiàn)象,,在這個(gè)過(guò)程中,寬客可以在幾微秒(百萬(wàn)分之一秒)內(nèi)進(jìn)行股票買(mǎi)賣(mài),。

????這種跳水最初由紐約斯塔騰島區(qū)的交易員和編程怪才喬希?萊文建立,,他們形成的聯(lián)盟看起來(lái)有些另類(lèi)。最后,,天體物理學(xué)家也加入進(jìn)來(lái),。他們合力把美國(guó)股市改造成了超出前人想像的高速機(jī)器。

????Remember the flash crash? On May 6, 2010, the Dow Jones Industrial Average plunged by 600 points over a couple of minutes. Procter and Gamble (PG), the $165-billion consumer giant, lost 37% of its market cap within seconds. Accenture (ACN) and Exelon (EXC) dropped to a penny a share. All hell seemed to be raining down.

????In the next instant, everything was back to normal. The market regained almost all of its losses. Problem was, no one could explain what had just happened. It didn't matter if you were Morgan Stanley's favorite client, there just weren't answers.

????Journalists eventually pieced the story together. It turned out that a mutual fund company in Kansas had set off a chain reaction of selling by placing a single order in the futures market. In some ways, this explanation was more terrifying than our previous state of ignorance. Had the U.S. stock market come to this? Crashing because a Kansas butterfly flapped its wings?

????In Dark Pools, Wall Street Journal reporter Scott Patterson explains how we got into this mess. The Flash Crash was the first major symptom of a problem that has been spreading across Wall Street for more than a decade. High-speed traders, dubbed high-frequency traders because they trade in and out of stocks thousands of times per second, have overtaken the stock market.

????On the one hand, they provide constant liquidity so regular investors don't get charged egregious spreads by middlemen -- the so-called market makers -- at Nasdaq or the New York Stock Exchange. On the other, their opaque technology has given us episodes like the Flash Crash.

????Patterson, a wonderfully numerate financial journalist, is good at ferreting out vivid stories about high-speed trading, the Street's newest infatuation. His previous book, The Quants (2010), was a rich narrative about the new world of quantitative traders -- guys who let computer algorithms do the hard work of trading. In Dark Pools he zeros in on the market plumbing that has allowed quants to jump in and out of stocks in microseconds (millionths of a second).

????The plumbing was first built by an unlikely alliance between Staten Island traders and a programming nerd named Josh Levine. Eventually astrophysicists joined in. Together, they retooled the U.S. stock market into a speed machine unlike anything ever imagined.

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