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ClearMacro CEO Mike Simcock, who has 25 years of professional asset managemen

游客2024-04-05  8
问题    ClearMacro CEO Mike Simcock, who has 25 years of professional asset management experience, says he started the company to help investment managers that were drowning in a deluge of data.
   There has been a massive explosion in data sources, many offering the prospect of more timely information and more impactful signals. But the big data revolution is actually compounding a problem that was already there, says Simcock. Advancements in technology are making analytical processes accessible beyond the world of hedge funds(对冲基金)and CTAs(交易顾问): things like back testing tools and ways of aggregating information and visualizing information in a really efficient way.
   ClearMacro is building a " Wikipedia of investment strategies". It applies strategic, tactical and systematic asset allocation strategies, alongside a combination of select data sets providing real time macro insights, from text media and now-casting to cross border central bank liquidity statistics.
   Simcock suggests a less is more approach to data. " We are not scraping the internet for data. We are doing aggregation in the sense that we are sourcing what we call the best quality data sets for the categories of information that we think decision makers care about holistically, as well as tools to back test and gain conviction over what works and what doesn’t. " He said big data sets within the hedge fund space tend to be really focused on tactical, higher frequency, shorter term decision making, such as trying to gain an edge on payrolls or the next move in inflation, or company results.
   The industry is very quickly going to move much further toward data driven automated research and investible strategies. " Funds or products that are essentially driven more and more by rules, and can be delivered in different ways, whether it’s an ETF structure or simply connecting to interactive brokers. "
   Suddenly all sorts of owners of data are realizing the power of their data sets. " We are completely unaware of whether we use traditional data or new data. If we can demonstrate it adds some value then that can justify paying for it. "
   Data does not come cheap: all sorts of entities are offering to sell their data, from anywhere between ￡25K and ￡250K, and upward. "The value of data is in the eyes of the beholder," said Simcock. "Typically I think the way that data sales work is that everything is up for negotiation," he said. " Some of the things we are finding is a lot of the classic data sets are delivering better performance when you build them into strategies. The message I would give to someone asking how should I deal with this landscape—embrace technologies that can make your job easier and take your time. " [br] What opinion does Simcock express in the last paragraph?
选项 A、The price of data may soar up in the future.
B、Any kind of data can be sold out nowadays.
C、Classic data can provide better information.
D、It’s worth time to get adapted to new tech.
答案 D
解析 观点态度题。本题考查西姆柯克在最后一段中表达的观点。定位段最后一句说，西姆柯克建议那些想知道如何应对数据分析发展趋势的人，要欣然接纳那些能让自己的工作更轻松但会占用一点时间去适应的技术，可见他认为花一点时间来适应新技术是值得的，故答案为D)。A)“未来数据的价格将会飞涨”是对最后一段前两句的曲解，原文的意思是：由于目前大家都意识到数据的价值，其价格不菲，而数据到底是否有价值，要以其有用性来定，并没有对未来价格的走势做出预测，故排除；B)“现在什么样的数据都能够出售”，原文只提到各类实体都在出售自己的数据，但并未说是否都能售出，故排除；C)“传统数据能提供更好的信息”是对定位段第四句的曲解，原文的意思是传统数据通过策略加以处理后会十分有用，并没有将其与新数据进行比较，故排除。
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