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The Financial Conduct Authority of UK has issued warnings about these fraudulent activities which can be found here and here.
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Big Data is a popular term used to describe extremely large sets of data which can be analysed using advanced technologies to reveal patterns, trends, and associations. Big Data changes how we shop, eat, network and how we invest; transforming companies, sectors and the broader economy. Using technology and data to deliver cutting-edge investment insights, the Goldman Sachs CORE® Equity Portfolios employ a disciplined application of quantitative techniques to capture both the fundamental as well as the behavioural aspects driving companies’ stock returns.
GSAM's Quantitative Investment Strategies team
Active investment management has always been about generating an informational advantage and anticipating evolving trends more quickly than other market participants. The exponential growth in data for example is so significant; it impacts multiple parts of our everyday lives, while rapid advancements in technology enable us to push the boundaries of conventional asset management.
In the past, we could only use computers to analyse easily quantifiable and organised sets of data such as numbers in a spreadsheet. Today, new technologies allow us to analyse unstructured data, such as language and images, for the first time. As more new data sources become available, we continue to research novel investment ideas to enhance our process.
No, we view technology and data as tools to enhance the decision making process of our portfolio managers and before we act on any of the information generated by our quantitative models, our portfolio managers review every trade and position and may intervene during certain periods of extreme stress in an effort to reduce or contain risk.
Companies that find ways to harness Big Data may separate themselves from their competitors and create value for investors.
For illustrative purposes only. All investing involves risk, including the potential to lose money. Source: Statista, December 31, 2017
1 Source: Bain.
We use data and technology to enhance our knowledge, experience and judgement, seeking to translate a virtually infinite amount of data, both traditional and non-traditional, into actionable investment ideas.
Our CORE® Equity Portfolio investment team believes there are several characteristics that drive a company’s stock performance.
Identifying high-quality, well-run companies
Finding underpriced companies that are well-positioned for the long run.
Analysing investor sentiment in the market
Themes and Trends
Discovering linkages, themes and trends
Our data-driven investment process is built upon expansive and rigorous research, repeatable security selection and risk awareness.
11 Source: GSAM. For illustrative purposes only. As of December 31, 2017.