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• Finance (74)

Wu, Yue (2024) Shareholder activism: the interactions between firm meetings and asset markets. PhD thesis, London School of Economics and Political Science.

Chen, Jane Jingxuan (2023) Essays on communication and trading in financial markets. PhD thesis, London School of Economics and Political Science.

Salarkia, Amirabas (2023) Essays in empirical asset pricing. PhD thesis, London School of Economics and Political Science.

Tang, Bo (2022) Essays on FinTech and financial markets. PhD thesis, London School of Economics and Political Science.

Täger, Matthias (2022) Constructing climate risk: how finance governs its relationship with the planet’s climate. PhD thesis, London School of Economics and Political Science.

Yin, Xiang (2022) Essays in empirical corporate finance. PhD thesis, London School of Economics and Political Science.

Pelosi, Marco (2022) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Shi, Ran (2022) Essays in asset pricing. PhD thesis, London School of Economics and Political Science.

Huang, Jiantao (2022) Essays in empirical asset pricing. PhD thesis, London School of Economics and Political Science.

Chen, Juan (2022) Essays on corporate finance and governance. PhD thesis, London School of Economics and Political Science.

Iwadate, Muneaki Bruce (2021) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Yuan, Yue (2021) Essays on corporate finance under asymmetric information. PhD thesis, London School of Economics and Political Science.

Risteska, Simona (2021) Essays on learning and information-processing in financial markets. PhD thesis, London School of Economics and Political Science.

Nicolai, Francesco (2021) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Pellicioli, Alberto (2021) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Carella, Agnese (2021) Essays in household finance. PhD thesis, London School of Economics and Political Science.

Hu, Zhongchen (2021) Essays on household finance, venture capital, and labor. PhD thesis, London School of Economics and Political Science.

Todorov, Karamfil (2020) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Core, Fabrizio (2020) Essays on entrepreneurship. PhD thesis, London School of Economics and Political Science.

Wang, Su (2019) Essays in corporate finance. PhD thesis, London School of Economics and Political Science.

Guo, Tengyu (James) (2019) Essays in factor-based investing. PhD thesis, London School of Economics and Political Science.

Ryduchowska, Malgorzata Teresa (2019) Essays in empirical corporate finance. PhD thesis, London School of Economics and Political Science.

Han, Yueyang (2019) Essays on information and frictions in financial markets. PhD thesis, London School of Economics and Political Science.

Papadimitriou, Dimitris (2019) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Ricca, Bernardo (2019) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Kremens, Lukas (2019) Essays on foreign exchange risk. PhD thesis, London School of Economics and Political Science.

Gorrín, Jesús (2018) Essays in empirical corporate finance. PhD thesis, London School of Economics and Political Science.

Bretscher, Lorenzo (2018) Essays in macro finance. PhD thesis, London School of Economics and Political Science.

Sabtchevsky, Petar Svilenov (2018) Three papers on asset pricing. PhD thesis, London School of Economics and Political Science.

Obizhaeva, Olga A. (2017) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Savic, Una (2017) Essays in financial intermediation. PhD thesis, London School of Economics and Political Science.

Punz, Michael (2017) Essays on delegated portfolio management. PhD thesis, London School of Economics and Political Science.

Seyedan, Seyed (2016) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Zaccaria, Luana (2016) Essays in corporate finance. PhD thesis, London School of Economics and Political Science.

Choi, Hoyong (2016) Essays on asset pricing. PhD thesis, London School of Economics and Political Science.

Zhang, Cheng (2016) Essays on asset pricing. PhD thesis, London School of Economics and Political Science.

Glebkin, Sergey (2016) Three essays in financial economics. PhD thesis, London School of Economics and Political Science.

Shen, Ji (2015) Essays on asset pricing in over-the-counter markets. PhD thesis, London School of Economics and Political Science.

Martinovic, Milan (2015) Venture capital investments, exits and post-IPO performance. MPhil thesis, London School of Economics and Political Science.

Yan, Wen (2015) Essays on the term structures of bonds and equities. PhD thesis, London School of Economics and Political Science.

Lu, Yiqing (2015) Essays on adaptation, innovation incentives and compensation structure. PhD thesis, London School of Economics and Political Science.

Chen, Huaizhi (2015) Essays on empirical asset pricing. PhD thesis, London School of Economics and Political Science.

Roulstone, Claire (2015) Inside the social world of a witness care unit: role-conflict and organisational ideology in a service. PhD thesis, London School of Economics and Political Science.

von Drathen, Christian (2014) Essays in empirical finance. PhD thesis, London School of Economics and Political Science.

Dobrynskaya, Victoria (2014) Downside risk in stock and currency markets. PhD thesis, London School of Economics and Political Science.

Kuong, John (2014) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Huang, Shiyang (2014) Essays on information asymmetry in financial market. PhD thesis, London School of Economics and Political Science.

Zhou, Ping (2014) Essays on credit risk. PhD thesis, London School of Economics and Political Science.

Zeng, Jing (2014) Essays on financial intermediation. PhD thesis, London School of Economics and Political Science.

Donaldson, Jason (2014) Essays in financial contract theory. PhD thesis, London School of Economics and Political Science.

Zer Boudet, Ilknur (2013) Essays on financial economics. PhD thesis, London School of Economics and Political Science.

Valenzuela Bravo, Marcela Andrea (2013) Essays on financial economics. PhD thesis, London School of Economics and Political Science.

Piacentino, Giorgia (2013) Theories of the effects of delegated portfolio managers' incentives. PhD thesis, London School of Economics and Political Science.

Costa Neto, Nelson (2012) Essays on information asymmetry and financial institutions. PhD thesis, London School of Economics and Political Science.

Deb, Pragyan (2012) Essays on the impact of competition on financial intermediaries. PhD thesis, London School of Economics and Political Science.

Yen, Yu-Min (2012) Three essays in financial econometrics. PhD thesis, London School of Economics and Political Science.

Shang, Qi (2012) Essays in asset pricing and institutional investors. PhD thesis, London School of Economics and Political Science.

Maurer, Thomas A. (2012) Is consumption growth only a sideshow in asset pricing?: asset pricing implications of demographic change and shocks to time preferences. PhD thesis, London School of Economics and Political Science.

Teo, Terence (2012) Essays on disclosure of holdings by institutional investors. PhD thesis, London School of Economics and Political Science.

Parida, Sitikantha (2012) Essays on delegated portfolio management. PhD thesis, London School of Economics and Political Science.

Lew, Sean (2012) Essays on market microstructure. PhD thesis, London School of Economics and Political Science.

Fardeau, Vincent (2011) Essays in financial economics. PhD thesis, London School of Economics and Political Science.

Venter, György (2011) Essays on asymmetric information and trading constraints. PhD thesis, London School of Economics and Political Science.

Wang, Yiyi (2011) Rational bubble, short-dated volatility forecasting and extract more from the volatility surface. PhD thesis, London School of Economics and Political Science.

Anton Sancho, Miguel (2011) Three essays on the comovement of financial assets. PhD thesis, London School of Economics and Political Science.

Liu, Zijun (2011) Essays in financial intermediation. PhD thesis, London School of Economics and Political Science.

Garavito, Fabian (2010) Essays on delegated asset management. PhD thesis, London School of Economics and Political Science.

Bena, Jan (2009) Essays on the interaction between financial development and real economy. PhD thesis, London School of Economics and Political Science.

Lee, KeunJung (2009) Three essays on corporate governance in Korea. PhD thesis, London School of Economics and Political Science.

Chen, Runquan (2009) Volatility and correlation in financial markets: Econometric modeling and empirical pricing. PhD thesis, London School of Economics and Political Science.

Protopapa, Marco (2009) An essay in corporate finance: Managerial incentives, financial constraints and ownership concentration. PhD thesis, London School of Economics and Political Science.

Afonso, Gara Minguez (2008) Liquidity, information and coordination in financial markets. PhD thesis, London School of Economics and Political Science.

Reusch, Christian (2008) On the non-linear dynamics of financial market risk and liquidity. PhD thesis, London School of Economics and Political Science.

Arcot, Sridhar Rao (2007) Essays in corporate finance. PhD thesis, London School of Economics and Political Science.

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Secure Data Access

Bringing together advice from across lse, find out how to go about accessing secure data for your research projects. .

Hannah Boroudjou

Research support, lse library, introduction.

The term secure data refers to confidential or sensitive data that can only be accessed under special license conditions. Examples include NHS data, financial and taxation data, immigration and census data, commercial data and so on.

Secure data is used frequently in research at LSE and a cross working group involving representation from the Library, DTS, Cyber Security, the RLAB and the Secretary’s Division has been developed to help deliver this research data to researchers.

Get an agreement to access secure data signed

Requesting secure data can be a complicated process and delivery timings will depend on what kind of data you’re requesting and the data supplier.

A typical secure data request will involve the following steps:

1. Complete the  Cyber Security Awareness Couse .

2. Email us to request access to the data . Provide details of the dataset you'd like to access, preferably with web links and any license agreements or details of correspondence you've already received from the data supplier.

3.  We'll request that you fill in a data management plan. We'll also discuss the best access route for you.

4. Some agreements are standard agreements and don't need to be looked over by our legal team. For these agreements we'll ask Cyber Security to review the license as well as the data management plan and advise on whether the chosen secure access route is viable.

5.  For non-standard agreements we'll need legal advisors from within the School to look the agreement over and offer comments. Please note that this is a busy service, and some agreements can be complicated. Our legal advisors reserve the right to question the terms of data agreements, particularly if the agreement involves liability for the School or the researcher.

6.  If a data sharing agreement is in a foreign language then the researcher will need to provide an accredited translation to the legal team at their own expense.

7. For agreements that require an institutional signature ie, a signature from a senior member of staff within the School, signatures will not be supplied without the express approval of LSE Legal Advisors and our Cyber Security Team.

8. Once all the necessary approvals are in place and the data management plan has been received and approved, we'll either confirm with the researcher that they can sign the agreement or send the agreement to be signed by the Research Division.

Contact us with any queries about secure data applications.

How to access secure data

LSE Library and DTS can offer a number of options for accessing secure datasets both on and off campus. Please note that it is ultimately the decision of the data supplier and LSE to decide on an appropriate access route for the dataset, as not all options will be appropriate for all applications.

What options are there to access secure data on campus?

Some suppliers will only give access to secure data from within the LSE campus. We can offer access to an ESRC SafePod and a secure suite to facilitate access to secure data from within the Library building.

Secure suite

The secure suite is a fully enclosed, locked, controlled access room located on the fourth floor of LSE Library.

Use of the room is granted to approved researchers by appointment only via the Library.

Contact us to enquire about using the secure suite.

The secure suite is available during  staffed Library opening hours .

PC specs:  

PCs in the room run in a Windows environment with a suite of statistical tools for analysis. We provide these data packages offline:

• Citris Workspace 
• Ms office P
• R for Windows

The PC in 4.07 can also be locked down to prevent access to the internet or for the connection of USB storage devices. This room does not have windows so to prevent external viewing of data. 

What data resources are suitable for the rooms? 

Some of the data resources we manage through the rooms are: 

• Bureau van Djik Orbis hard drive and historical data 
• Household, Income and Labour Dynamics in Australia (HILDA) 
• Indian National Sample Survey data 
• DealScan 
• Eurostat Microdata 
• ONS Microdata 
• UKDS Microdata

LSE hosts an ESRC funded SafePod . A SafePod is a prefabricated setting that allows researchers to access data from key suppliers.

What options are there to access secure data remotely?

Some suppliers will allow remote access to datasets, but only from a secure server. There may also be an additional requirement for researchers to access data only from institutional laptops eg, from a laptop supplied by the DTS team at LSE.

LSE can provide access to AWS 17 (Amazon Web Services) environment which utilises the cloud-hosted AWS infrastructure and resources and adheres to the principles of secure remote access to datasets and materials

The AWS environment is managed by DTS. Apply to use AWS.

All applications to use the AWS server will need to be cleared via Cyber Security, who'll require a copy of your data management plan as well as any data sharing agreements/licences you have been asked to sign.

They'll assess whether the server is appropriate for usage on a case-by-case basis.

The AWS server is not appropriate for all dataset applications, some data can only be accessed through the Rlab terminal server or on campus.

The RLAB maintains a terminal server for use by the research centres CASE, CEP, CVER and STICERD.

It can also be used by researchers from outside the centres for access to ONS datasets (including ONS datasets via UKDS).

Please note that you'll need to be an ONS accredited researcher before you can access ONS datasets.

Other useful information

Undergraduate and master's students and secure data.

The data team at LSE Library recognises many undergraduate and master's student need access to secure data for research projects and dissertations. We try and support such applications wherever we can. However, there are several barriers to accessing secure data that students and supervisors need to be aware of:

Some data suppliers have long turnaround times of ten weeks or more. This can be difficult to accommodate within the timeline of a UG or PGT dissertation.

Some data suppliers refuse outright to supply data to anybody below the PhD level of study.

Some data suppliers will only supply to researchers where they have a publication history that demonstrates experience in data analysis.

Some data suppliers will only supply data on a ‘public interest’ basis. In most cases this means a planned publication in an academic journal.

Some corporate data suppliers attempt to impose unreasonable terms and conditions that make it risky for UG/PGT students to enter into a data sharing agreement with them. For example, in the past some data suppliers have insisted that the finished copy of the dissertation be submitted to them for final approval before it is submitted to the School for marking.

Some suppliers charge administration fees for supplying data that are not feasible for an UG/PGT project. There can also be hidden costs eg, the costs of getting foreign language data sharing agreements translated into English.

These potential pitfalls can make planning a dissertation or research project that relies on secure data very risky. Because of this we suggest that students and supervisors get in touch with us as early as possible in the process so we can advise you about the feasibility of securing data for the study.

Access security sensitive data

If the research topic involves accessing, using or collecting security sensitive material eg, related to terrorism or violent extremism of any kind then you may need to arrange for special access methods eg, on LSE campus only or via a secure server.

We would also recommend a consultation with the Cyber Security team who can advise on the safest way to collect and analyse this type of data. 

Contact us to arrange meetings with appropriate LSE contacts .

Futher reading

Research Data Toolkit

LSE Cyber Security & Risk

LSE SafePod booking page at SPN

UKDS Training and Events

Explore our Research Data Management guide.

Cyber Security & Risk tools and skills to stay safe online.

Find out about our SafePod.

Data and statistics collections at LSE.

View our citation analysis and research visibility page.

LSE Press publishing platform for research.

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Find, review, and use literature

Before you can contribute your own ideas in response to your research question (or questions), you’ll need to have a good idea of the current debates around the topic and what is already understood. This means searching the literature.

“Literature” can refer to books, journal articles, professional or trade publications, case studies, or research reports (including dissertations and theses). It includes academic publications and conference papers, but can also include publications by national or local governments, international organisations, and NGOs. It’s important to read widely and keep track of your searches and what you’ve discovered. You also need to reflect and write regularly to develop your own views of others’ ideas.

What resources are available?

How do you effectively "review" the studies, theory, cases, commentary and the other material that's out there about your topic?  Find out in this 4-part video course on searching the literature.

What is a literature review and how should I plan a search?  

What are the key concepts and which search terms should I use?

How do I structure a search and how do I choose good quality sources?  

Which catalogues and databases should I use?  

Referencing

The Library is the place to come for help with citing and referencing . If you have questions about how or why to cite and reference - or more broadly about what plagiarism is and how you can avoid it, check out this 4-part video series.

Citing and referencing: why, what, when, and how (4 minutes)

Good referencing tips and tools (4 minutes)

What is (and isn't) plagiarism (4 minutes)

Some examples of APA and Chicago style, and footnote style referencing (5 minutes)

At citethemrightonline.com (sign in with your LSE ID for full access) you'll find detailed advice and examples of citations and references in many referencing styles, for all types of sources - from books and articles to government publications and legal cases, but also social media, song lyrics, even grafitti!

With so much literature out there, it's easy to lose track of what you read, where. This is where a digital referencing manager comes in! These pieces of software help you create your own online library of resources that you’ll use in your essays, then generate in-text citations and a reference list in seconds. No more chasing references! When used well, the software does the hard work for you (although you do need to double-check the details!). Check out some of the options available to you with Endnote or Mendeley: which tool to use to reference consistently . 

Who can I speak to?

Librarians are experts in going beyond your reading lists and exploring publications and resources in-depth to find those hidden gems for your research. No question is too big or small when it comes to using the Library's vast resources or referencing them clearly.  You could ask... 

• What is a literature search "strategy" - what should I be thinking of when I search?   
• What tools and techniques can help me keep track of my searches and organise my references and notes from various texts?
• Which databases are suited for finding literature on my research topic?   
• How do I cite (a tweet, an unpublished confidential report, a painting I saw in a museum, a webpage with no author) and include it in my references?

Different disciplines might call for different approaches to reviewing the literature.  For example, researchers in health topics might need to conduct systematic reviews - and can use this guide to developing a systematic search strategy . Your department librarian can talk you through the research practices in your department - get in touch by email and arrange a convenient to meet online. 

Or maybe you’d like to have a chat with someone who’s done some research before.  It can be helpful simply to bounce around ideas about how to plan and conduct research (and managing a research project alongside competing deadlines!) LSE LIFE study advisers are available for 30-minute appointments - online and in-person on campus - Monday-Friday, 10am - 6pm .  

Events and resources

What is a literature review?

Develop and refine your search strategy for your literature review

Explore the literature and use it to focus your dissertation

Read critically within and across texts for your literature reviews

Master citing and referencing with citethemrightonline

Use others' ideas to help you craft your story

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Data and statistics

Find out about the various data and statistics resources available to you at lse library., data collections.

We provide access to a wide range of data from across the globe and have a team to assist you with your queries related to finding and managing research data. However, we are unable to provide support for statistical, qualitative or geographical information systems software.

Our collection contains a variety of different types of data that can be used across the social sciences. This includes:

Country data

• Financial, Company and Market data
• Social Science data
• Geographic Information Systems (GIS) data

We provide access to a number of general databases that contain country level data and analysis that will be of value to researchers.

Printed Statistics

• Registrar General’s Annual Return
• UK Census 1841 – 2011 (also available through UK Data Service)
• Census of India
• League of Nations Statistical Yearbook
• United Nations Statistical Yearbook 

Online statistics

Follow the links to access and read further information about each resource.

• EIU Viewpoint contains basic social and economic data.
• CEIC China  contains data on various sectors in the Chinese market.
• OECD iLibrary  contains useful publications on the economic position of individual nations. 
• Economic History Digital Collection  contains digitised copies of our key primary resources of economic and government statistics.

Financial, Company and Market information

• Euromonitor International Passport  is an international market research database.  It is excellent for researching established, developing and emerging markets.
• Orbis  has information on over 460 million companies. It enables you to identify and evaluate companies around the world.
• Wharton Research Data Services  (WRDS) is a business data research service from The Wharton School at the University of Pennsylvania.  It provides access to Compustat, CRSP, TAQ, I/B/E/S, Eventus, and other financial data.
• S&P Capital IQ Pro  provides specialist information relating to financial institutions and real estate. 

Certain resources can only be accessed in the Financial Resources Zone in the Group Study Room on the 4th floor of the Library. These products are only available for current LSE staff and students.

• Bloomberg contains near real-time and historical financial information on individual equities, stock market indices, fixed-income securities, currencies, commodities, and futures for both international and domestic markets.

Social science

We provide access to two of the largest repositories of social science data, which contain a range of quantitative and qualitative research data.

• Inter-university Consortium for Political and Social Research (ICPSR)
• UK Data Service (UKDS)

Text and data mining

• ProQuest TDM Studio is a platform for text and data mining across the Library's current ProQuest subscriptions. The visualization dashboard has a graphical user interface with pre-built visualisations that can be applied to newspaper content. The workbench dashboard allows analysis across the majority of the Library's ProQuest subscriptions using R and Python.

Freely available resources

A lot of data produced by national and international bodies is made freely available online as open data. Here are some useful sources of data to help with your research, some of which can also be accessed through the UK Data Service – international macro data page .

• United Nations

Contact the Data Library team

Contact the Data Library  by email  and provide as much detail as possible about your research question and data needs. Ideally you should provide us with:

• the data collection (or the kind of data collection) you are seeking
• names of the data collection(s) you have already used

Your email should be sent from your LSE account as this confirms that you are a current LSE student or member of staff. We aim to respond to enquiries within two working days. 

Moodle course

The Moodle course,  Library Companion for Data Resources , provides a good introduction to data resources and will help you locate material.

Conditions of use

Subscription datasets have specific licenses that must be adhered to at all times, as a breach of the terms of usage could lead to termination of the license.  The general principles that apply are:

• Access is provided on the basis of non-commercial academic use.
• The copyright of the data is retained by the data owner but licensed for current LSE staff and students only.
• Data-sharing is not permitted.
• It is the responsibility of the user to ensure the security of the data and not disclose it to anyone else.
• The Conditions of Use of IT Facilities at LSE and the Information Security Policy are applicable in all cases. 
• A breach of the conditions of use could result in termination of access and possible legal action.

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