InvestorCliques SIGNED
Investor Cliques in Stock Markets
Total Cost €
0EC-Contrib. €
0Partnership
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0InvestorCliques project word cloud
Explore the words cloud of the InvestorCliques project. It provides you a very rough idea of what is the project "InvestorCliques" about.
Project "InvestorCliques" data sheet
The following table provides information about the project.
| Coordinator |
TTY-SAATIO
There are not information about this coordinator. Please contact Fabio for more information, thanks. |
| Coordinator Country | Finland [FI] |
| Total cost | 191˙325 € |
| EC max contribution | 191˙325 € (100%) |
| Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
| Code Call | H2020-MSCA-IF-2017 |
| Funding Scheme | MSCA-IF-EF-ST |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-05-01 to 2020-05-15 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | TAMPEREEN KORKEAKOULUSAATIO SR | FI (TAMPERE) | coordinator | 191˙325.00 |
| 2 | TTY-SAATIO | FI (TAMPERE) | coordinator | 0.00 |
Map
Project objective
Complex networks theory during the last two decades has gained novel results and profound insights into many complex systems in engineering, social and biological and also financial fields. This proposed data-driven research programme will apply cross-disciplinary complex network approaches to identify investor cliques in stock markets and to explain the impact of investor behaviour on asset price dynamics. My research extends current knowledge on investor networks by focusing on the identification of investor cliques to understand how different groups of investors (i.e. cliques) drive the market in certain direction.
This research helps to understand the mechanism between investor behaviour and transitions in stock markets, an important information to identify early warning signal and detect market manipulation. Also, it justifies regulators to get a better access for investor level transaction data, such unique data set we use in this project, to plan effective policies. Moreover, information diffusion in financial markets is a fundamental question, which will be addressed by this research, especially focusing on information transfer between and within investor cliques.
Methodologically, the project utilizes and develops clique enumeration techniques to identify network clusters. By analyzing the structure evolution of the investor multiplex networks and cliques, I am to detect if and how the structural changes are coupled between the different layers of the network and how the changes spread over all of the market. By using Vector Autoregression, inter-dependencies among multiple time series on investor networks and stock price processes can be identified with time-lagged influences. This computationally intensive research is implemented on a parallel computation platform. I use a unique data and massive investor registration data that allows me to track investors’ trading decisions over 20 years.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2018 |
Le Viet Hung Market-wide analysis of investor networks in Finland published pages: , ISSN: , DOI: |
2019-10-08 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "INVESTORCLIQUES" project.
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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "INVESTORCLIQUES" are provided by the European Opendata Portal: CORDIS opendata.