This week on Real Vision Louisa Bojesen uses Refinitiv's best-in-class data to look at how the UK government might attempt to get out of the £300 billion economic crater, created by the fiscal response to the COVID pandemic. With Oil and Gas exploration and production companies likely to lose $1 trillion in revenue in 2020, how will governments try to cover for this loss in tax income? The Chatter looks at the disconnect between the deteriorating fundamentals in developed economies and the rising asset prices. In The Whisper, we take a look at the data behind the data for the M&A market.

Python is becoming a more popular programming language across the financial services industry because it is relatively easy to code. However, it is slow compared with other languages. In this guest blog, Saeed Amen, a quant and co-author of The Book of Alternative Data, explores approaches that you can adopt to speed up your Python code.

You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more

You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more

It’s difficult to get excited about startups you can’t see.

Yet major investors are betting that it’s precisely the fintechs you don’t know – the backend operators, that sit behind your pre-paid cards and lending apps – that will become profitable, billion-dollar companies in the next five years, according to a new report.

So-called ‘fintech enablers’ (or ‘banking as a service’ players) are the technology platforms that quietly rent out their core banking infrastructure to power countless financial apps and services.

In recent years, we have seen an unprecedented explosion of interest in applying artificial intelligence and machine learning to a variety of quantitative finance problems, ranging from derivatives pricing and risk management to market forecasting and algo trading. In fact, Artificial Intelligence and Machine Learning are now seen as the greatest enablers of competitive advantage in the finance sector. 

In this paper, Svetlana Borovkova, Probability & Partners, Margot Dijkstra, VU Amsterdam, and Rossy Nguyen, VU Amsterdam use Refinitiv News Analytics, Refinitiv's natural language processing engine in two applications of machine learning with sentiment: 

Investors are increasingly demanding that ESG criteria are factored into their portfolios. To help satisfy this demand, fund ESG scores enable investors to objectively assess the ESG performance of a company or a fund. But how is it possible to achieve a consistent, reliable and unbiased score system?

Roger Hirst and Joanna Davies, Senior Economist at Fathom Consulting, talk about how China is trying to reinvent its economy by using Corona virus as a catalyst for change. Has China been able to initiate real change, rather than simply extending the credit-fueled expansion of the last decade? Is there spare capacity in the property market and what is the outlook for employment?  

Sustainability bonds have been on the rise for the past few years. Despite the current economic crisis, 2020 is expected to be a year of growth for both green bonds and social impact bonds. At a Refinitiv webinar, experts analyzed the prospects for sustainability financing, including the impact of the COVID-19 pandemic.

You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more

Banks and credit unions have been warned for years that becoming a 'digital bank' was essential for future success. Most understood what was needed – and why – but few moved aggressively to digitally transform their organizations. COVID-19 has placed the need for the deployment of advanced technology in the spotlight. Is the banking industry ready?

You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more

Banks and credit unions have been warned for years that becoming a 'digital bank' was essential for future success. Most understood what was needed – and why – but few moved aggressively to digitally transform their organizations. COVID-19 has placed the need for the deployment of advanced technology in the spotlight. Is the banking industry ready?

In recent years, we have seen an unprecedented explosion of interest in applying artificial intelligence and machine learning to a variety of quantitative finance problems, ranging from derivatives pricing and risk management to market forecasting and algo trading. In fact, Artificial Intelligence and Machine Learning are now seen as the greatest enablers of competitive advantage in the finance sector. 

In this paper, Svetlana Borovkova, Probability & Partners, Margot Dijkstra, VU Amsterdam, and Rossy Nguyen, VU Amsterdam use Refinitiv News Analytics, Refinitiv's natural language processing engine in two applications of machine learning with sentiment: 

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