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research | Equities, Fixed Income, Forex, Commodities

Video: Enhancing Macroeconomic Nowcasters with Big Data

In this talk, Salman discusses an approach to harness big data and improve an existing nowcasting framework in order to better understand the risks and potentially enhancing the performance of investments decisions.

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research | Equities, Fixed Income, Forex, Commodities

How to Use Event Data for Global Macro and Mid-Term Equity Trading

Webinar: how to extract signals from RavenPack event data for mid-term equity trading. We also highlight practical use cases for Global Macro, Trade War and Brexit. Co-hosted by RavenPack and Wolfe Research. Watch the highlights and request the full video and slide deck below.

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research | Equities, Fixed Income, Forex, Commodities

News in Macroeconomics Forecasting - Video and Slides

In terms of what we have in regards to big data in the world that tells you something about economic activity. So if you want to predict microeconomic activity, then you need all the data to be infinity precise. What we do is aggregate everything into a few macroeconomics indicators, such as interest rates, balance of payments, production and so forth.

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research | Commodities

Energy Futures Trading with Machine Learning & Event Detection

We show how combining all models produce solid risk-adjusted returns with lower average bias and without the need to select one particular model.

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research | Commodities

A Textual Analysis of News Events for Crude Oil

Considering news analytics as part of an oil price prediction model, we’re able to include information which is otherwise hard to capture. This allows for new avenues to explore when it comes to alpha capture.

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Latest Blog Articles

10 Things We Learned From News Analytics in 2020

Events such as COVID-19 and the U.S. presidential elections have made 2020 a year unlike any other. Below is a summary of 10 of the most interesting data insights we drew from news analytics and sentiment data in 2020.

Profile of a Sentiment Trader

RavenPack data is used in an increasing number of academic fields for research work that involves quantifying market sentiment. The article below highlights one particular study from 2020 that makes original use of our data as part of a social profiling exercise.

Predicting a Historic Election with News Analysis

Predicting a Historic Election with News Analysis. How well did our monitor forecast the 2020 presidential election? Joe Biden won the presidential election by 306 electoral votes to Trump’s 229. The result is very close to RavenPack’s forecast of a Biden victory by a mean of 313 votes to 225 for Trump and places our prediction within 3% of the expected nationwide result.

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