Using business and financial news, part 1



Efficiency. It’s a simple word. In the world of modern finance, it means that stock market prices ­– rapidly and without prejudice – reflect what’s going on in the business world.

This notion was settled upon because it was believed by analysts that buyers and sellers revised their expectations about future firm performance. These revisions in expectations changed the risk-adjusted value of firms and impacted market prices.  Of course, the notion of informational efficiency has never implied that markets were somehow omniscient. No supposition was made as to the degree of precision with which prices should respond to news. Because of the continual noise prevalent in markets, one should not be surprised to find indications of pricing error in many situations.

In the last two decades researchers from a variety of disciplines have challenged the notion of information efficiency. Research studies questioned the completeness of the immediate market reaction to corporate news events. An extensive body of empirical literature examined a wide-ranging set of specific news events and found that markets appeared to initially under-react. In other words, it took some time for traders and investors to digest the news and process its potential implications and ramifications for asset prices.

How does this economic information get to the public, or at least to traders? When information is released, news agencies may start by summarizing its content in a short version and instantly redistribute it to end-users. The news agency then gathers information from various sources, eliciting comments from industry experts and adding other contextual information. This results in a second distribution of relatively longer news items within a couple of hours of the first news blast.

Successive editing and distribution based on the original information release may continue depending on its level of materiality. Often, following large corporate events equity research and credit rating analysts publish a report. Following in line, news agencies and newswires distribute news items discussing or summarizing the contents of these reports.

In the meantime, newspaper journalists gather news for the next issue of their publication. Some news items included in the next daily publication will reflect information that has been processed and distributed through newswires the day prior to publication. Journalists working on these news items, will add further insight by gathering more contextual information and adding further synthesis and analysis.

In summary, news items are the result of the activities of media industry participants as they edit, aggregate, and distribute raw economic information. Media industry participants choose the degree to which items are edited and aggregated to fit the medium’s distribution frequency – i.e. continuously, daily, weekly, etc. – and distribution form.

While not true in all cases, positive news events generally are met with positive market reactions. In these cases, returns subsequent to announcements showed positive, drifts. Similarly, negative news events generally meet with negative market reactions and tend to be followed by negative drifts. On the other hand, traders and investors often over-react to price shocks, causing excess trading volume and volatility – and then leading to reversals.

The reaction of financial markets to news cannot be studied in isolation, as there can be important interdependencies. For example, one piece of news not only has direct effects on asset prices and market volatility, but it can also alter the relative importance of other pieces of news.

Companies historically published the larger share of news (about 64%) outside trading hours. However, in recent years in Germany and the United Kingdom, at least, this trend has shifted. The majority of news (about 55%) in Germany and the U.K. is now published intraday. The following chart tracks this trend.

Reprinted from Hagenau, Liebmann, and Neumann (2013) with permission.

Reprinted from Hagenau, Liebmann, and Neumann (2013) with permission.

Why is this trend important today? It means that there are more opportunities to react to the news as it appears in real-time during the trading day. What changes in the social landscape does it reflect? It reflects the burgeoning of the 24-hour investigation and reporting of news, concomitant with fast-paced lifestyle of modern societies.

To be continued …

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Book Three: Trading With The News

Learn about a news-based trading system that yielded a back-tested, average annualized, compounded return from 2000 to 2011 of 58.6%.

“Only once you’ve done your homework will you be able to understand how the stock market works and learn to distinguish between news and noise.” Maria Bartiromo, Use The News

Book Two: Technical Analysis

Learn about the "trend recalling" algorithm that yielded researchers a simulated annual return of greater than 400% in multiple tests.

“The scientific method is the only rational way to extract useful knowledge from market data and the only rational approach for determining which technical analysis methods have predictive power.”
David Aronson, Evidence Based Technical Analysis

Book One: Analysts’ Forecasts

Learn the strategy, based on analysts' revised forecasts, that yielded researchers an average of 1.13% - 2.19% profit per trade, for trades lasting one to two days?

Learn how certain analysts' recommendations, following brokerage hosted investment conferences, yielded profits of over 3% during a two-day holding period?

Learn how researchers found an average profitability of 1.78% for two-hour trades following an earnings announcement?

"This set of tools can help both ordinary and professional investors alike to re-think and re-vitalize their stock picking, timing and methods. A young, aspiring Warren Buffet could put this book to good use."
James P. Driscoll, PhD, investor

Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments by David Aronson (software included)

Evidence-Based Technical Analysis by David Aronson

Archive of Earlier Posts