Cornell Task (七) 2016级郭晓旸:不管你接受与否,大数据时代都如期而至

2017年08月18日
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导语:清华-康奈尔双学位金融MBA项目的在读学生在学习期间需进行两次赴美集中学习,每次需在大洋彼岸进行2~3周充实的理论+实践课程。2016级同学们第二次的赴美学习之旅已经结束,但同学们在华尔街实践中力争上游的身影还历历在目,在课堂上受到康奈尔教授的赞扬亦犹在耳边。为了铭记这些荣耀,我们收集了赴美同学的部分优秀作业,整理出“Cornell Task”系列,干货满满,敬请期待。
  提起纽约,每个人脑海中总能冒出几处坐标:高举火炬的自由女神、车水马龙的曼哈顿、全球精英汇聚的华尔街。它像一张巨大的网将一切辉煌尽收其中,双学位金融MBA项目2016级学生赴美实践课程“Wall Street Trek”就在这里进行。今天推出的是2016级郭晓旸同学的课程作业,原文为英文,由学生本人翻译供稿。


图为:郭晓旸赴美期间参加活动Robert H. Frank合影
 
以下为作业原文:
 
Student: Xiaoyang GUO
Professor: Barry Ridings&Robert Symington
Course: Wall Street Trek
Date: April 27th-28th, 2017
 
Wall Street was not built in a day----Summary of the Visit to the Museum of American Finance

Wall Street, the most famous street of NYC, is located downtown near the Brooklyn Bridge. As the financial center of the United States, even the world, this narrow street is a mirror of the development of the financial industry. Therefore, it is no wonder that the Museum of American Finance is located at the heart of the Wall street.

One Person

The history of American Finance is connected tightly to a well-known person, who is Alexander Hamilton, the first secretary of the Treasury. He was the founder of American’s modern financial system and built up a realistic basis to support a young country like US to make steps toward capitalism and industrialization. It is such a pity that he was shot to death in a fight and the US lost a brilliant president candidate.

Two Animals

There used to have buffalos in Wall Street. But the representatives of the status of financial markets are two fighting animals, the bull and the bear. The bull market means the upward-sloping promising financial market while the bear market means the downward-sloping declining market. As a financial major, those two animals are often heard and it is interesting to learn how they originated. The famous bronze bull in the very beginning of the Wall Street shows the blessing wish of the financial industry to be in the bull market.

Three Markets

The US enhance the modern system of different financial markets, such as stock exchange, futures and options exchange and the bond trading. Visitors to the MOFA was impressed by the three big screen with illustrative videos standing in the middle of the hall.

It is very helpful to learn the financial history of the America systematically because the country became the world economy center since it was founded. The past stories are meaningful to the financial professionals till nowadays to be much wiser and more competent in the most complex industry.
 
Reflection Paper on Wall Street Trek

We are so lucky to have the Wall Street Trek course in New York with so many star lecturers. The presentations are all carefully prepared aiming to help us in the real world’s practice. As far as I was mentioned, it is extremely helpful for my future work and study. Here are some thoughts I have by the inspiration of the lectures.

The Big Data Era

I am a data guy and love to find the intrinsic value of the data. With the great development of the internet and technology, we can get the data more easily and faster. As the world names it, we come to an era of big data.

The most important characteristics of the big data are four Vs, which are volume, velocity, variety and voracity. Nowadays, we have so many ways to collect all kinds of data, such as the social media, the transportation, credit system and so on. If the data are collected legally and allowed to use, we can have tremendous amount of data. And the speed to get the data we need has been improved to a very high level. Remember the days we used pigeons to transfer the messages? Now, most of the transactions data can be achieved in several seconds. I will receive the alerting message of credit card transaction just after swiping the card. Faster speed makes the decision-making process greatly short and new opportunities arising thereby. Since the data are more and more, how to differentiate the data we need is quite critical especially for the financial people who earn the profit by making transactions based on mostly on the data. Still, the accuracy of the data is even more crucial to the users than it was before. What degree can we rely on the data we have to make the decisions and how will the results come? In the past, the flaws of the data were not so obvious because the frequency of the transactions and people could have time to correct the wrong ones. For the big data era, all the decisions and results will be in a very fast frequency and people may not have the chance to recall the wrong decisions and even worse, may not have chance to realize that the decisions are wrong.

The big data era has made great changes in the financial industry. As to the existing data, we can have better insights to analyze them by using more advanced algorithms. As to the new data, we can have new insights with them by artificial intelligence or the machine learning tools. The super technologies help us uncover new relationships between the data and the people, or the society.

The big data have dual effects of the world. The good ones are sales productivity enhanced and client interactions improved. The opportunities for the talents in the industry create lots of demands in fine tuning, analyzing, trends and predictions. On the other hand, there are challenges for the big data, such as how to treat the noises in the data which are commonly encountered. For the algorithms, how to improve the accuracy and effectiveness of them are big challenges for the talents.

In summary, the big data era has come and grow quickly no matter you want or not. People in the financial industry should embrace the changes and face the opportunities along with the challenges.
 
To show my respects to the esteemed chairman of Blackstone, Mr. Stephen Schwarzman, I would like to conclude my reflection by citing his words. “The capitalism and the efficiency are the everlasting core principles for the financial industry”, he said during our conversation. Big data are aligned with that principles and will make the financial world more capital-oriented and more efficient. I have confidence of that judgement and will take great efforts to make it happen.
译文
 
学生:郭晓旸
指导教授:Barry Ridings & Robert Symington
课程: 实战华尔街
日期:2017年04月27/28

 
华尔街不是一日建成的----访美国金融博物馆有感
 
  华尔街,纽约市最著名的街道,没有之一。作为美利坚和全世界的金融中心,这条窄窄的小街随着时光变迁,是金融行业发展历史沿革的最佳写照。

一位伟人

  美国金融的历史和一位著名的政治家密不可分,他就是亚历山大·汉密尔顿。作为美国第一任财政部长,他创建了美国的现代金融体系,同时为美利坚这个年轻的国家发展资本主义和实施工业化生产打下了坚实的经济基础。但非常遗憾的是,汉密尔顿先生在一次决斗中因为不肯拔枪而被射身亡,美利坚也因此失去了一位优秀的总统候选人。

两种动物

  华尔街区域在历史上是野牛的栖息地,但是家喻户晓的的金融市场象征动物却是公牛和熊,寓意是看涨的牛市与走低的熊市。对于金融从业者来说,牛市和熊市耳熟能详,但金融博物馆里的牛熊相斗的雕塑让这些稍嫌冰冷的专业名词有了鲜活的意义。还有那一尊矗立在华尔街头的巨大铜牛,寄托了人们对于繁荣金融市场的美好心愿。

三个市场

  美利坚创建了世界上最早的三个金融市场,分别是股票交易所、期货期权交易所与债券交易所。金融博物馆二层大厅里并排摆放着三块巨大的多媒体展示屏,上面滚动播出着这几个市场的缘起、发展与现状,令参观者印象深刻。

  美利坚自建国以来,就成为全世界最核心的金融市场之一。金融博物馆虽然不大,但是各方面的资讯都很丰富,包括世界货币与铸币展示、美国的联邦财政管理体系、战时金融与战时货币、金融媒体的发展、信贷业务的起源、彭博的交易终端、可互动的多媒体终端等。

  如果你在纽约有2个小时的空闲时间,不论是否是金融从业者,都可以考虑参观金融博物馆,跟随着专业的讲解员,与金融百年精粹来一场美丽邂逅之旅。
 
实战华尔街课程有感

  实战华尔街课程不愧是清华-康奈尔双学位金融MBA的明星课程,不仅邀请到了华尔街的众多明星投资人为学员传授投资宝典,更有全球著名投资集团黑石公司董事长苏世民老先生与大家分享人生感悟与投资哲学,这样难得的体验真是弥足珍贵。

  对我而言,关于大数据的主题演讲感触最深。我本人对数据很感兴趣,套用时下最时髦的一个词语就是,我们已经步入了大数据时代。

  大数据有四个最显著的特点,分别是海量(Volume)、极速(Velocity)、多样(Variety)和准确(Voracity),简称4V特性。现在,人们拥有多种渠道获取各式各样的数据,比如社交媒体、交通网络、信用体系等等。假定这些信息的获取是合法且被允许使用,那么我们就拥有了海量的数据。与此同时,获取数据的速度也呈几何级次上涨。还记得使用信鸽来传递消息的时代吗?在当时几乎是最快捷的数据传递方式了,而今天,绝大多数交易数据都是以毫秒级的速度在运行。不论你在世界哪个角落成功刷了ICBC的信用卡,几乎就在刷卡的同时,叮的一声就能收到余额变动的提示短信。快捷的速度可以缩短决策过程,新的机会也因此而产生。然而,随着数据的不断增多,如何甄别数据并将其转化成获利机会成为摆在金融从业者面前的重要课题。数据的准确性问题也变得益发重要,决策过程对数据准确性的依赖程度有多高?对结果的影响力有多大?这些都是不可回避的关键问题。在过去,数据的瑕疵并不明显,因为交易频度有限,人们尚有时间纠正这些数据缺陷。但是在大数据时代,决策和结果都将在很高的频率上发生,人们恐怕没有机会撤回错误的决定;更为可怕的是,人们或许没有机会意识到错误的决策已经产生。

  大数据时代对金融行业的影响是极其深远的。就存量数据而言,我们可以通过更加智能的算法对其进行更好的解读;就增量数据而言,我们可以通过人工智能或机器学习工具对其进行最先进的解析。高科技手段帮助我们构建数据与人、数据与社会的新的关系。

  大数据时代既有机遇,也充满挑战。一方面,伴随着效率的大幅提升,客户关系得以改善,大数据将在精准定位、深度分析、趋势预测等方面创造大量行业需求;另一方面,大数据在数据噪声管理方面也面临着巨大的挑战。对于数据分析师而言,如何持续提高算法的准确性和有效性是至关重要的。不管你接受与否,大数据时代都如期而至。金融行业从业者只能拥抱这些改变以及伴随而来的机遇与挑战。

  谨以苏世民先生的名言作为本文的结束语,以表达我们对年近古稀的老先生百忙之中拨冗出席实战华尔街课程并带来充满智慧的主旨分享的感谢之情——“资本主义和效率是金融行业永远的核心原则”。笔者认为,大数据时代是对这一原则的最佳诠释。
简介 对我而言,关于大数据的主题演讲感触最深。我本人对数据很感兴趣,套用时下最时髦的一个词语就是,我们已经步入了大数据时代。

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