Using Refinitiv data and talking to investors on the ground in London, New York and Singapore, this series explores how the dramatic changes that have been forced on the world by Covid-19 will challenge household, corporate and government balance sheets.

There will be change, but how permanent will it be?

This week we look at how bond yields are reflecting the growth outlook whilst equities reflect the flow. This is an environment that favours a break-out to new highs by gold. US real yields have been falling and this has been very supportive over the last few years. The Chatter looks at the resilience of assets to an increase in COVID cases, but that resilience does not extend to the real economy of small businesses. The Whisper looks at the data on the data and how retail investors are engaging with markets.

COVID-19 volatility has caused huge disruption in global markets, and has been the catalyst for traders to move towards actively managed investing. How will the trading data and tools employed during the crisis help traders to continue managing risk, compliance, and spotting new investment opportunities afterwards?

The lack of data and information required for strategic decision-making in Islamic finance has been an enduring challenge for the industry. How does the Islamic Finance Development Indicator (IFDI) enable users to solve these problems and foster growth in new markets?

Alternative data is defined as non-traditional data that can provide an indication of future performance of a company outside of traditional sources, such as company filings, broker forecasts, and management guidance. This data can be used as part of the pre-trade investment analysis, as well as helping investors monitor the health of a company, industry, or economy.

Many investors already see that alternative data is just as essential as fundamental data for their financial analysis and insights.

We offer the content, platforms and tools to evaluate and use alternative data for better decision making on investment, trading and risk management. We are constantly evaluating this new frontier - to provide greater clarity and to effectively combine both datasets for a uniquely powerful proposition - and actively scan the market for new content sources.

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The development and advancements of technology are rapidly changing the nature of work and the workforce. The relentless growing connectivity and cognitive technologies are making it possible where humans and machines can work side-by-side at a shared workplace, enhancing the abilities of the human workforce. Today, as the workplaces are evolving to a flexible workforce driven by technology advances, software, automation, IoT, robotics, and artificial intelligence, among others, almost every job in every discipline is being revived.

With the introduction of new technology, companies now have opportunities to power the workplace and augment their workforce to perform tasks effortlessly. The increasing proliferation of intelligent automation into the workplace is taking away a lot of tedious, repetitive works that used to overwhelm workflow, freeing up employees to focus on more valuable tasks. This gives the birth of the augmented workforce that involves a blend of human...

Cybersecurity has long been perceived as a highly specialised area, which only fell under the scope of relevant experts within companies. Yet, the spread of technology across every layer of corporations questions whether cyber security remains the responsibility of specialists or should be the concern of every single employee. We often hear that “cyber security must be everybody’s responsibility”; what does that mean in practice?

At face value, this is truly a very dangerous argument to manipulate. To answer it using another cliché, there is a fine line between something being everybody’s responsibility, and the same thing becoming nobody’s responsibility.

The key here is to acknowledge that while each employee may have a role to play in securing the firm’s assets, those roles do vary from function to function, and failure to communicate with each staff member in meaningful ways in the context of their own job will simply not work: Telling HR staff who...

A huge portion of workers have suddenly been forced to work from home in order to stay safe. Unfortunately, many businesses did not have the technology in place to cope with this immediate shift. To tackle this change and maintain continuity, IT decision-making has also undergone rapid changes. Previously sceptical business leaders are now looking to off-premise tools that make their modern workforce much more agile and are investing accordingly.

That said, a remote workforce is truly only as good as the tools that can facilitate a more flexible approach. Such a fast rise in off-premise working has presented new challenges for businesses, causing barriers to such successful work flexibility. Previously, just 35% of employees were actually able to complete 100% of their tasks whilst working outside of the office – a concern for many business leaders whose entire workforce are now confined to working in their homes and on personal devices.

To unlock the true value of...

Amid high market volatility, the amount of data points that are generated can become overwhelming. How can query-ready data enable data scientists and quants to devote more time to deriving insights to create successful trading strategies? 

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We’re delighted to present to you the content from Energy Interactive 2020. Access this event virtually to help you get ahead of the changing energy complex with insights from our speakers and analysts.

The research team at Refinitiv Labs is looking at applying causal inference to machine learning problems. How can a causality model be applied to data and data management use cases that test for causes and identify paths to performance gains?

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: