考研英语报刊文章阅读及剖析(16)
Computerised trading agents may help humans build better markets
THANKS to slumping markets, investment banks are shedding many of their highly-paid traders. When markets recover, the banks might be tempted to replace them with rather cheaper talent. One alternative has been around for a while but has yet to catch on: autonomous trading agents-computers programmed to act like the human version without such pesky costs as holidays, lunch breaks or bonuses. Program trading has, of course, been done before; some blamed the 1987 stockmarket crash on computers instructed with simple decision-making rules. But robots can be smarter than that.
Dave Cliff, a researcher at Hewlett-Packard Laboratories in Bristol, England, has been creating trading robots for seven years. In computer simulations he lets them evolve genetically , and so allows them to adapt and fit models of real-world financial markets. His experiments have suggested that a redesign of some markets could lead to greater efficiency. Last year, a research group at IBM showed that Mr Cliff s artificial traders could consistently beat the human variety, in various kinds of market. Nearly all take the shape of an auction. One well-known type is the English auction, familiar to patrons of the salesrooms of Christie s and Sotheby s, where sellers keep mum on their offer price, and buyers increase their bids by stages until only one remains.
At the other extreme is the Dutch auction, familiar to 17th-century tulip-traders in the Netherlands as well as to bidders for American Treasury bonds. Here, buyers remain silent, and a seller reduces his price until it is accepted. Most markets for shares, commodities, foreign exchange and derivatives are a hybrid of these two types: buyers and sellers can announce their bid or offer prices at any time, and deals are constantly being closed, a so-called continuous double auction .
Mr Cliff s novel idea was to apply his evolutionary computer programs to marketplaces themselves. Why not, he thought, try and see what types of auction would let traders converge most quickly towards an equilibrium price? The results were surprising. In his models, auctions that let buyers and sellers bid at any time like most of today s financial exchanges were less efficient than ones that required relatively more bids from either buyers or sellers. These evolved auctions also withstood big market shocks, such as crashes and panics, better than today s real-world versions. Mr Cliff s most recent results, which will be presented in Sydney, Australia, on December 10th, show that the best type of auction for any market depends crucially on even slight differences in the number of buyers and sellers.
Bank of America has been investigating these new auctions, along with robotic traders, for possible use in electronic exchanges. The hope is that today s financial auctions and online marketplaces might work better by becoming more like their English and Dutch forebears. But what to call such multi-ethnic hybrids? Here s introducing the Cliffhanger .
1.The passage is mainly__________.
[A] a review of two kinds of auctions
[B] an introduction of trading robots
[C] a survey of the trading market
[D] about trading alternatives
2.Which of the following is true according to the text?
[A] Davids robot traders have now been used in real-world markets.
[B] Robot traders can evolve like creatures.
[C] There is room for improvement in efficiency in trading markets.
[D] The English auction is the most popular trading form.
3.If you were trading American Treasury bonds, you would most likely take the trading
form of ___________.
[A] the English auction
[B] the continuous double auction
[C] the Dutch auction
[D] the evolved auction
4.We can infer from the text that______________.
[A] existing auctions can not withstand market shocks
[B] the Dutch auction is better than the continuous double auction
[C] its hard for traders to reach an equilibrium price
[D] the best type of auction takes place when the number of the buyers is equal to that of sellers
5.Toward robot traders, the writers attitude can be said to be__________.
[A] biased
[B] objective
[C] pessimistic
[D] optimistic
答案:B C C B D
词汇注释
slump: [slQmp] v. 暴跌, 清淡; 衰落; 萧条
shed: [Fed] v. 去除除去
pesky: [5peski] adj. 讨厌的,麻烦的
auction: [5C:kFEn] n. 拍卖
patron: [5peitrEn] n. 顾客;主顾
salesroom: n. 拍卖场
mum: [mQm] adj. 沉默的;无言的;不说话的
derivative: [di5rivEtiv] n. 衍生物
hybrid: [5haibrid] n. 混合物
converge: [kEn5vE:dV] v. 达成一致趋于或达成联合、共同结论或者结果
equilibrium: [7i:kwi5libriEm] n. 平衡
forebear: [5fC:bZE] n. 祖先,祖宗
cliffhang: [`klIfhAN] v. 扣人心弦,悬疑
难句突破
In his models, auctions that let buyers and sellers bid at any time like most of today s financial exchanges were less efficient than ones that required relatively more bids from either buyers or sellers.
主体句式:auctions were less efficient than ones..
结构分析:这是一个复杂句,句子的主语auctions后面有一个that引导的定语从句对它进行修饰,句子主体结构中包含了一个比较级,在比较的对象ones后面也有一个that引导的定语从句对它进行修饰。
雅思听力易混短语的辨析
电台广告
雅思听力词汇整理:特殊动物
雅思听力备考方案中的四个方面
雅思考试雅思听力|雅思听力技巧
雅思听力练习的时间段和时间长度
雅思听力场景词汇辅导(1)
雅思听力缩写单词的方法
雅思考试听力练习的技巧
雅思听力地图题解题的方法
雅思听力考试中常见十大场景
雅思听力练习独居生活
雅思听力高分注意事项六则
细数雅思听力考试答题的细节点
雅思听力评分标准A类|G类听力评分标准
雅思听力的评分标准G类
雅思听力Section 4场景介绍
雅思听力机经:数字场景练习
雅思听力方法介绍:听录音过程
雅思听力高分关键词整理
雅思听力:“交通出行”相关词汇
雅思听力中逻辑词
雅思听力8.5分建议
雅思练习听力衔接技巧
怎么做好雅思听力的观点题
雅思听力考试时间的掌握:见缝插针
雅思听力以语法与词汇为基础
雅思听力评分标准的表格
雅思听力长对话练习的技巧
雅思听力步骤的全解
不限 |
英语教案 |
英语课件 |
英语试题 |
不限 |
不限 |
上册 |
下册 |
不限 |