ESG Case Study Environmental, social and corporate governance (ESG) refers to the three central factors in measuring the sustainability and ethical impact of an investment in a company or business. These criteria help to better determine the future financial performance of companies (Wikipedia). ESG is growing in significance amongst institutional investors. Today, ethical considerations and alignment with values are common motivations of many ESG investors but the field is [...]

Brexit vote prediction using NLP The United Kingdom’s divorce with the European Union, better known as Brexit, has become a drawn-out, contentious affair without an obvious resolution. Former British Prime Minister Theresa May’s government and her counterparts in the European Union negotiated a withdrawal agreement last year, but opposition to the deal from the UK Parliament killed it three times. The UK commons has the power to stop Brexit [...]

Alternative data: Uber not a surprise... Uber Technologies Inc (UBER) on Monday posted a wider third-quarter loss as costs at the ride-hailing company soared, sending shares down 6.7% in after-hours trading. Based on Uber's 3Q event analysis we can see that Uber's event-driven score is in a downtrend and cross the 0.5 marks to the bearish territory. In order to find these events, we use big data and NLP [...]

Alternative data: benefits and challenges What benefits can the use of alternative data bring to financial institutions? Quarterly earnings reports and industry whitepapers are often slow and infrequent and as these traditional sources of information are readily available, they tend to offer limited actionable intelligence or insight. No executive should go to their board and present a plan based on data from 6 months ago when they could be [...]

Netflix outperform in Q3 2019 We saw the shift in Netflix $NFLX from the past quarter using key events that took place during 3Q. The streaming-video pioneer beat subscription estimates thanks to growth in countries like Brazil and India. The third season of Stranger Things helped drive business, drawing a record 64 million households. In total, more than 6 million new viewers signed up last quarter. Barely 500,000 of them [...]

Alternative data: clean dataset and why it's impotentToday, more than 80% of the data is unstructured. Data is being produced as we speak – from every conversation we make in social media to every content generated from news sources. In order to produce any meaningful actionable insight from data, it is important to know how to work with it in its unstructured form.Data and data scientist work in the financial [...]

Privet Equity Case Study - SnowflakeSnowflake provides a data warehouse as a service designed for the cloud, founded in 2012 and raised $928M to date. The company is headquartered in San Mateo, California, United States.Snowflake offers corporate users to store and analyze data using cloud-based hardware and software. It runs on Amazon S3 since 2014, and on Microsoft Azure since 2018 It is being rolled out on Google Cloud Platform [...]

Sift through the noise As data volume increase by the day, the noise level is tremendous. By noise, we mean the same data in different wording or even duplication of the same content. In the financial markets, data is key factor for outperforming the benchmarks. However, nowdays, it becomes impossible to track all major events for relevant companies as the news volume are at pick and continue to raise. [...]

Paris Air Show Airbus vs Boeing The Paris Air Show 2019 (June 17th to 23rd) is the key event for major airplanes manufacture as key deals are made during the trade show. Each year the competition between Airbus and Boeing is getting more intense as each wants to secure more order than its peer. This year, a special condition influence sales figure as Being facing a bad reputation over [...]

Using NLP in the financial industry Today’s financial markets are inextricably linked with financial events like acquisitions, profit announcements, or product launches. Information extracted from news messages that report on such events could hence be beneficial for financial decision making. The ubiquity of news, however, makes manual analysis impossible, and due to the unstructured nature of text, the (semi-)automatic extraction and application of financial events remains a non-trivial task. [...]