Dr Jan van Dalen

Jan van Dalen

Associate Professor of Statistics
Rotterdam School of Management (RSM)
Erasmus University Rotterdam

Profile

Media

Media items

  • New algorithm uses twitter to predict the stock market researchers develop a way for traders to use twitter to make better investment decisions

    New research by Ting Li and Jan van Dalen of RSM has found that information taken from Twitter posts could be used to predict the stock market – and help traders to make better investment decisions. “This study shows the potential...

  • Can Twitter tell you how to invest?

    Ting Li, Professor of Digital Business and Jan van Dalen, Associate Professor of Statistics at RSM recently analysed over a million Twitter messages that mentioned stocks listed on the S&P 100 share index. They then developed an...

  • Can Twitter predict the stock market? These researchers think so

    Analysis of more than one million Twitter posts by Ting Li and Jan van Dalen of RSM found that they could predict stock market movements and help traders make decisions on investments. “This study shows the potential value of...

  • Can Twitter predict the stock market? These researchers think so

    Analysis of more than one million Twitter posts by Ting Li and Jan van Dalen of RSM found that they could predict stock market movements and help traders make better decisions on investments. "This study shows the potential value...

  • Can traders rely on Twitter for investment decisions?

    Ting Li and Jan van Dalen of RSM have found a way for traders to use Twitter to make better investment decisions. Over a million twitter messages that mentioned stocks listed on the S&P 100 share index were analysed. Li comments...

  • Researchers develop algo that uses Twitter to predict the stock market

    Ting Li and Jan van Dalen of RSM have developed an algorithm that scans tweets about stocks, successfully predicting price fluctuations. "This could be used by institutional investors or home-based day traders, and proves that...

  • 荷兰推出最新研究成果,利用推特预测股价变动

    Ting Li and Jan van Dalen of RSM analysed more than a million tweets that involved stocks listed on the S&P 100 index and developed an algorithm to scan stock tweets and predict price changes.

  • New Algorithm Uses Twitter to Predict the Stock Market

    Ting Li and Jan van Dalen of RSM have analysed over a million Twitter messages that mentioned stocks listed on the S&P 100 share index. The researchers then developed an algorithm that looked at the sentiment of the tweets and...

  • Aandeelhouder Maakt Shell Groen

    An interview with Jan van Dalen of RSM about his new study, which discusses how investors can make better financial decisions by using big data to analyse information about stocks on Twitter. Fast-forward to 36:57 to listen.

  • Aandeelhouder Maakt Shell Groen

    This edition of BNR's "Zakendoen" references Jan van Dalen and his new study (with Ting Li) on how social media can help investors make better decisions.

  • Erasmus Universiteit voorspelt aandelenkoersen met big data-analyse van tweets

    Research by Prof Ting Li, Dr Jan van Dalen and alumnus Pieter Jan van Rees of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help...

  • Aandelenkoersen zijn te voorspellen met big data-analyse van tweets

    Noteworthy financial events end up on Twitter, but conversely, financial tweets can also have an influence on developments in finance. Research by Ting Li and Jan van Dalen of RSM shows that big data analyses of tweets can be used...

  • 'Twitterberichten goede voorspeller beurskoers'

    It is possible to make better investment decisions based on big data analyses of Twitter messages, say researchers Ting Li and Jan van Dalen of RSM in their new study.

  • Verdienen op de beurs? 'Kijk naar berichten op Twitter'

    If you want to earn money by investing, it also makes sense to pay attention to what appears on social media. Ting Li and Dr Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the...

  • Twitterdata nuttig bij voorspellen aandelenkoersen

    Noteworthy financial events end up on Twitter, but conversely, financial tweets can also have an influence on developments in finance. Research by Ting Li and Jan van Dalen of RSM shows that big data analyses of tweets can be used...

  • Predict stock prices with big data analysis of tweets

    Do tweets about the stock market contain valuable information for investors, or can they be ignored as noise produced by self-proclaimed financial gurus? A study by Ting Li and Jan van Dalen of RSM shows that a big data analysis...

  • Aandelenkoersen voorspellen met big data-analyse van tweets

    A new study by Ting Li and Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help investors make better decisions.

  • Must read: 13% koerswinst China in 2018

    A study by Professor Ting Li and Dr Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help investors make better...

  • RSM: Aandelenkoersen voorspellen met big data-analyse van tweets

    Do tweets about the stock market contain valuable information for investors, or can they be ignored as noise produced by self-proclaimed financial gurus? A study by Professor Ting Li and Dr Jan van Dalen of RSM shows that a big...

Discovery items

How to promote car-sharing to people who love their own cars

Car-sharing schemes can reduce the environmental impact of driving. But how do you entice car owners that are really attached to their cars?

Predicting the stock market with big-data analysis of tweets

"The big challenge was to determine what all the emoji, slang expressions and negations in tweets actually say about stock sentiment."

Improving the supply chain in humanitarian logistics

How RSM researchers help Doctors Without Borders to organise their humanitarian aid logistics.

Boosting business with data analysis

Pretty much every modern organisation collects a mountain of data on a daily basis as it goes about its business.

Courses

Statistical methods & techniques case

  • Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016, 2014/2015, 2013/2014
  • Code: BKB0019C
  • Level: Bachelor 2, Pre-master

Statistical methods & techniques examination

  • Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016, 2014/2015, 2013/2014
  • Code: BKB0019T
  • Level: Bachelor 2, Pre-master

BIM Research Methods I - Old style

  • Study year: 2019/2020, 2018/2019
  • Code: BM05BIM
  • ECTS: 2

Business Analytics

  • Study year: 2019/2020
  • Code: BM21MIM
  • ECTS: 6 Level: Master

BIM Honours Course

  • Study year: 2019/2020, 2018/2019
  • Code: BMHONBIM
  • ECTS: 10 Level: Master, Master, Master, Master

SCM Honors Programme

  • Study year: 2019/2020, 2018/2019
  • Code: BMHONSCM
  • ECTS: 8 Level: Master

Big Data and Business Analytics

  • Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BMME012
  • ECTS: 6 Level: Master, Master, Master

Supply chain forecasting

  • Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BMME075
  • ECTS: 6 Level: Master, Master, Master, Master

BIM Master Thesis

  • Study year: 2019/2020, 2018/2019
  • Code: BMMTBIM
  • ECTS: 16 Level: Master

Past courses

Advances in SCM

  • Study year: 2018/2019, 2017/2018
  • Code: BMHONSCM-A
  • ECTS: 6 Level: Master

Research methods

  • Study year: 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BM07MIM
  • ECTS: 2 Level: Master

Advances in SCM

  • Study year: 2017/2018
  • Code: BMHON-SCM-A
  • ECTS: 4 Level: Master

Research clinic

  • Study year: 2015/2016, 2014/2015, 2013/2014
  • Code: BKMRCGM
  • ECTS: 4 Level: Master

Big Data and Business Analytics

  • Study year: 2014/2015, 2013/2014
  • Code: RSMME011
  • ECTS: 6 Level: Master

Forecasting in supply chains

  • Study year: 2014/2015, 2013/2014
  • Code: RSMME070
  • ECTS: 6 Level: Master

Research methods

  • Study year: 2014/2015
  • Code: BKM24GM
  • ECTS: 2 Level: Master

BIM research topics block 1

  • Study year: 2013/2014
  • Code: RSM03BIM
  • ECTS: 1 Level: Master

BIM research topics block 2

  • Study year: 2013/2014
  • Code: RSM06BIM
  • ECTS: 1 Level: Master

Research methods

  • Study year: 2013/2014
  • Code: BKM07GM
  • ECTS: 1 Level: Master

Statistische methoden en technieken

  • Study year: 2013/2014
  • Code: BKB0019
  • ECTS: 6 Level: Bachelor 2