Skip to Content
The Handbook of News Analytics in Finance
book

The Handbook of News Analytics in Finance

by Gautam Mitra, Leela Mitra
May 2011
Beginner to intermediate
384 pages
12h 28m
English
Wiley
Content preview from The Handbook of News Analytics in Finance

9.3 SENTIMENT REVERSAL UNIVERSES

The only variable left free in Definition 3 is P: the monthly timeframe over which net sentiment is measured. It might be helpful to think of this variable as a kind of “look-back”. As a company marches through time, how much news history about it, looking back in time at any given moment, should be incorporated into a sentiment measurement? Is one month enough or is a broader sweep of history needed? We approach this question by studying 24 distinct universes of sentiment reversals as determined by 1-month to 24-month trailing net news sentiment measurement periods. In particular, for x = 1, …, 24, define the universe Ux to be the sentiment reversals obtained by sequences of the form where m ≥ 32 and 〈N1, …, Nm〉 is a sequence of news stories about C occurring over at least one month with a relevance score of 100.

image

image

Figure 9.1. Stylized depiction of a sentiment reversal 〈N1, …Nm〉 where p1 and p2 are the closing stock prices on date (N1) and date (Nm), respectively.

Remark 2. The phrase “universe of stocks” is understood here to be a set of pairs, where in a pair one item is a security and the other item is an associated event date.

Universe sizes are further reduced by establishing a market cap minimum. This is an entirely practical consideration, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Market Risk Analysis Volume I: Quantitative Methods in Finance

Market Risk Analysis Volume I: Quantitative Methods in Finance

Carol Alexander
Equity Markets, Valuation, and Analysis

Equity Markets, Valuation, and Analysis

H. Kent Baker, Greg Filbeck, Halil Kiymaz

Publisher Resources

ISBN: 9780470666791Purchase book