Please ensure Javascript is enabled for purposes of website accessibility
 

Resources

Resources Availability​

    • All databases and resources available through the FRT-Lab are remote except Bloomberg and Morningstar, which are only in person.
    • To access the full list of Databases and Resources, please scroll down to the Resources List.
    • If you are unable to find the data or resource you are looking for, please Click Here to fill out the Data Request Form (UTORid is required), the Lab staff will reach out to you via e-mail to discuss your request.

Lab Access​

    • Current U of T students may access the FRT-Lab from Monday to Friday, 9:00 AM to 5:00 PM.
    • Current Rotman graduate students have 24/7 access to the FRT-Lab using their key fob.
    • Faculty have 24/7 access to the FRT-Lab using their key fob.
    • To book the lab for classes and tutorials through the lab scheduling system, please Click Here (UTORid is required).
    • If you would like to inquire about Corporate Bookings of the FRT-Lab, please send your inquiry to financelab@rotman.utoronto.ca.

Resources Access and Usage Policy​

As part of the University of Toronto community, it is your responsibility to ensure that you are using the Rotman FRT-Lab resources for non-commercial educational or research purposes only and that you do not violate copyright law. This applies to both resources available within the Rotman FRT-Lab, and data accessed remotely via Rotman FRT-Lab subscriptions. If you want to conduct text or data mining activities, please refer to the University of Toronto Libraries text and data mining resource page for more details, please Click Here.

Custom Applications​

RIT Market Simulator and associated Decision Cases (RIT)

Overview

 

The RIT simulation-based-learning product includes the RIT Market Simulator (an order-matching platform which allows users to transact financial securities with each other on a real-time basis) plus a sequence of RIT Decision Cases which focus on specific decision tasks associated with financial securities, market dynamics, and investment or risk management strategies.

The RIT Decision Cases have been designed to complement finance curricula at both the undergraduate and graduate levels. The decision tasks are presented in an easy-to-understand manner so that students can explore, learn, and practice strategies that achieve their desired goals. Note that most cases have an associated start-up decision-support template that applies the relevant theory and links to the order-driven market in real time. This reflects our mission to integrate theory and practice.

The RIT Decision Cases also sequence from introductory (generally one source of risk) to capstone cases for which the decision maker must manage several, potentially correlated, risks. In this way, participants acquire and practice one skill at a time before combining those skills in a comprehensive and robust strategy. This simulation approach to learning in an uncertain environment is analogous to using a flight simulator to train pilots. Additional motivations for simulation-based learning and the associated learning objectives using the RIT package are available here.

For more details about RIT, visit this link.

Rotman Portfolio Manager (RPM)

Overview

Rotman Portfolio Manager (RPM), designed and developed by our Rotman FRT-Lab team, is one of the most robust fantasy portfolio simulations available to colleges and universities in the world. The application allows students to manage a fantasy portfolio of stocks, bonds, futures and options (also known as paper-trading) using real market quotes. Students can submit limit, market, and stop loss orders for securities, and also easily access daily performance of their portfolios as well as trading records.

 

For more details, please click on this link.

Real-time Applications​

Bloomberg

Overview

Bloomberg is a platform that provides real-time financial market data, including price quotes, news, and analytics, with a unique system interface. Users are welcome to browse the Bloomberg help document above for more information on BMC (Bloomberg Market Concepts) and Support.

 

Guides

 

Access

Bloomberg Terminal is accessible in person from the physical computers located at the three campuses. The Bloomberg Terminals at the St George Campus are located in the FRT-Lab (Rotman School of Management, Room 290 North Building) and Milt Harris Library (Rotman School of Management, 5th Floor South Building).

 

Bloomberg Market Concepts (BMC)

BMC is an online, completion-based certification program which is an 8-hour self-paced introduction to the platform using various Bloomberg functions and Finance-related topics remotely and free of charge.

 

Generally, the BMC certificate is available at a fee of $149 USD to complete the course from the Bloomberg Institute website. However, the BMO Financial Group Finance Research and Trading Lab have worked with Bloomberg to waive the fee, so the BMC certificate is available for free, and the program can be accessed through your BMC account.

 

Creating your BMC (Bloomberg) Accounts If you do not already have a Bloomberg account, you will first need to go to the Bloomberg for Education Portal website (https://portal.bloombergforeducation.com/) and sign up for a BMC (Bloomberg Market Concepts) account using your university email as a Learner. This will be your BMC account. You may also access BMC from the Bloomberg Terminal.

 

Support

    • If you have a data-related question using Blomberg, please Click Here to fill out the Data Request Form.
    • If you have any questions related to using Bloomberg or require technical support, please feel free to contact Bloomberg directly via this email (bbg.edu@bloomberg.net) or from the following link: https://www.bloomberg.com/professional/support/customer-support-overview/ or by calling them at +1 212 318 2000

 

 

Factset

Overview
FactSet is a research platform that consolidates all the analytics and data professionals need to monitor global markets, public and private companies, and equity and fixed income portfolios in a single, intuitive interface.

 

Guides

 

Access

All Rotman faculty, graduate, and undergraduate students from Rotman programs will have access to individual FactSet accounts.

Morningstar Direct

Overview

Morningstar Direct is a global investment analysis platform that unites all of Morningstar's data and institutional research, private and third-party content, rigorous analytics, and productivity tools. The software platform streamlines the process of finding meaning in financial information, then helps investment professionals communicate this information in customized reports and presentations with compelling data visualizations.

 

Guides

 

Access

All Rotman faculty and graduate students from Rotman programs will have access to Morningstar Direct.

 

Morningstar is accessible in person from the physical computers located at the St George Campus are located in the FRT-Lab (Rotman School of Management, Room 290 North Building) and Milt Harris Library (Rotman School of Management, 5th Floor South Building).

 

If you don't have an account: click here to request access

S&P Capital IQ

Overview

Produced by Standard & Poor's, Capital IQ is a web and Excel-based software that provides valuable financial research data on fundamental analysis, financial modelling and market analysis. The software contains comprehensive information on over 60,000 public companies, 685,000 private companies, 10,600 private capital firms, 312,000 transactions and 985,000 professionals worldwide. The Financial Analysis and Market Analysis components allow users to draw deep market insights from comparable analysis, sector analysis and a high-level overview of industries. In addition, the Screening and Targeting function incorporates over a thousand financial and non-financial screening criteria to construct a list that meets your requirements.

 

Guides

 

Video Tutorials

 

Access

All Rotman faculty, graduate, and undergraduate students from Rotman programs will have access to individual Capital IQ accounts.

Data Delivery Portals​

Wharton Research Data Services (WRDS)

Overview

Wharton Research Data Services, or WRDS, is a comprehensive web-based data management system that allows faculty and students to easily retrieve information from a wide variety of financial, economic, and marketing data sources. Building on the strengths of the Wharton School at the University of Pennsylvania and with other academic clients, WRDS has become an indispensable tool for academic research at the nation's leading business schools.

 

WRDS is best known for its holdings of historical financial data from CRSP, CCM (CRSP/Compustat Merged Database), TAQ, IBES, ISSM and ExecuComp. Additional databases offered free of charge with the WRDS subscription include Dow Jones Averages, Philadelphia Stock Exchange and Federal Deposit Insurance. This data covers over 30,000 companies and includes security prices and trading volume, income and balance sheet items, and analyst projections for earnings and sales. WRDS also contains stock market indices, bond prices and interest rates, mutual fund and stock ownership information, options data, and a wide array of macroeconomic time series. International data, marketing and industry reports, and web usage data are also available on WRDS.

 

Documents

 

Access

All faculty, graduate, and undergraduate students from the University of Toronto will have access to WRDS.

 

WRDS Two-Factor Authentication (2FA) by Duo Security

From November 28th, 2022, you can only access the WRDS web login using WRDS DUO 2FA. We encourage all users to review the WRDS 2FA documentation & FAQ for detailed instructions and answers to common questions. Click Here to access the WRDS DUO 2FA guide.

 

CHASS Data Centre

This collection of on-line databases and custom-built search and retrieval programs are maintained by Computing in the Humanities and Social Sciences (CHASS) at the University of Toronto.

 

Databases Available

    • Canadian Census
    • Cansim I
    • Cansim II
    • Basic Eco. (A)
    • Basic Eco. (Q)
    • CFMRC TSX
    • Compustat
    • CRSP
    • Financial Post (Corporate)
    • Fundata (MF)
    • IMF
    • OECD
    • OED (2)
    • Penn World
    • Trade Analyzer
    • UTL/DLS Mircodata
    • World Bank
    • INKBR

 

Access

The Computing in the Humanities and Social Sciences (CHASS) Datacenter is located at http://dc1.chass.utoronto.ca/. Their web interface allows you to submit queries on specific databases. Access to CHASS is only available to University recognized IP addresses. Chass has a detailed description of their databases here.

Research Databases​

Audit Analytics (via WRDS)

Overview

Audit Analytics is an innovative online public company intelligence service available from the Ives Group Inc, a leading independent research provider focused on the accounting, insurance, regulatory, legal and investment communities.

 

Access

Bank Regulatory (via WRDS)

Overview

The Bank Regulatory Databases provide accounting data for Bank Holding Companies, Commercial Banks, Savings Banks, and Savings and Loans Institutions. The source of the data comes from the required regulatory forms filled for supervising purposes.

 

Access

Basic Economics (via CHASS)

Overview

The Citicorp macroeconomic database Basic Economics formerly known as CITIBASE, provides annual, quarterly, and monthly data about economic activities in the United States. The database contains approximately 9,500 series about finance, industrial production, energy, productivity, prices, population and labor, and national income. It also includes various forecasts, population projections, and cyclical indicators.

 

Access

To access the resource: click here to access the resource

BoardEx (via WRDS)

Overview

BoardEx contains more than 2 million profiles of public, private, and non-for-profit organizations and more than 1.4 million people. Approximately 33% of individuals are currently serving on boards of companies, and 38% are either board members or C-Suite. Data details include current and historic roles (with start and end dates) for board positions, employment, and education. On average we make 27,000 profile updates and add 2,500 new profiles, each week. Our current subscription includes access to BoardEx - North America.

 

Access

Canadian CENSUS (via CHASS)

Overview

The census provides a statistical portrait of Canada and its people. Census data is commonly used for research, business marketing, and planning as well as a base for sampling surveys.

 

Access

To access the resource: click here to access the resource

CANSIM (via CHASS)

Overview

The Canadian Socio-Economic Information Management System (CANSIM) is Statistics Canada's key socioeconomic database. Updated daily, CANSIM provides fast and easy access to a large range of the latest statistics available in Canada. CANSIM comprises over 40 million time series and thousands of tables.

Canadian Financial Markets Research Centre (CFMRC) summary information database (or CFMRC TSX database for short) includes daily and monthly Toronto Stock Exchange trading information about specific securities as well as information on "price adjustments" such as dividends, stock splits, recapitalizations, etc. The database also includes daily and monthly indexes containing information on daily and monthly index levels as well as selected other financial markets information.

 

Access

To access the resource: click here to access the resource

CFMRC/TSX (via CHASS)

Overview

Canadian Financial Markets Research Centre (CFMRC) summary information database (or CFMRC TSX database for short) includes daily and monthly Toronto Stock Exchange trading information about specific securities as well as information on "price adjustments" such as dividends, stock splits, recapitalizations, etc. The database also includes daily and monthly indexes containing information on daily and monthly index levels as well as selected other financial markets information.

 

CFMRC/TSX highlights:

    • expanded daily data set includes opening as well as closing data for: prices; bids; asks; trades; and volumes, amongst other information
    • expanded monthly data set includes: betas; earnings per share; volume; and transactions, amongst other data
    • expanded daily and monthly index data sets which include: a selection of interest and exchange rates; TMX Group indices; new under- and over- $2.00 indices, as well as other data

 

CHASS is maintaining two web interfaces:

    • CFMRC/TSX annual update - updated once a year, usually at the beginning of the calendar year.
    • CFMRC/TSX quarterly update - updated four times a year.

 

Access

To access the resource: click here to access the resource

Chicago Board Options Exchange CBOA (via WRDS)

Overview

The CBOE (Chicago Board Options Exchange) Volatility Index (VIX) is a key measure of market expectations of near-term volatility conveyed by S&P 500 stock index option prices. The VIX measures the market's expectation of 30-day volatility. The VIX is based on S&P 500 index option prices and incorporates information from the volatility skew by using a wider range of strike prices rather than just at-the-money series.

 

Access

CRSP (via CHASS)

Overview

CRSP Database provides access NYSE/AMEX/Nasdaq daily and monthly security prices and other historical data related to over 20,000 companies. The data is provided by the Center for Research in Security Prices, Graduate School of Business, University of Chicago.

 

Access

To access the resource: click here to access the resource

CRSP (via WRDS)

Overview

CRSP files cover common stocks listed on the NYSE, AMEX and Nasdaq Stock Markets, US Government Treasury issues, and US Mutual Funds. The database has a wide variety of financial and economic indices (market, total return, cap-based and custom) and other statistics used to gauge the performance of the broader market and economy in general. For the University of Toronto users, there are three portals open for data accessibility.

 

Documentation

 

Access

CUSIP (via WRDS)

Overview

CUSIP is operated by Standard & Poor's for the American Bankers Association, exists for the primary purpose of uniquely identifying issuers and issues of financial instruments within a standard framework, and disseminating this data to the financial marketplace via various media.

 

Access

D&B INKBR (via CHASS)

Overview

The Dun & Bradstreet - Industry Norms & Key Business Ratios Database (INKBR) provides users with a set of business ratios, measured as relationships between companies' balance sheet and income statement categories, across industries classified as per Standard Industrial Classification (SIC) codes.

 

Access

To access the resource: click here to access the resource

Datastream

Overview

The Thomson Datastream is both a standalone application and a Microsoft Excel plug-in. The database is available on workstations at the BMO FRT-Lab. To access the standalone application, simply open the Datastream 5.1 shortcut on the desktop. To access the database through Microsoft Excel, please follow the instructions as outlined by the Excel Add-Ins Quick Start Guide. Professors at the Rotman School may request to have the software installed on their office computers.

 

Access

All UofT faculty, graduate, and undergraduate students will have access to Datastream remotely.

click here to access the resource

Dow Jones (via WRDS)

Overview

The Dow Jones Averages are comprised of The Daily and Monthly Dow Jones Composite (DJA), The Dow Jones Industrial (DJI), The Dow Jones Transportation (DJT), The Dow Jones Utility (DJU), the Dow 10, and The Dow 5.

 

Access

ETF Global (via WRDS)

Overview

ETF Global offers detailed ETF data variables by recognizing the uniqueness of ETFs as an investment vehicle.

 

Access

FactSet Ownership Data (via WRDS)

Overview

FactSet Ownership provides institutional, mutual fund, stakeholder, and float-related share ownership information for equities and fixed income securities worldwide from the company and institutional filings, investor reports, and press releases. Updated daily, this database provides 17+ years of history across 120 countries.

 

Access

Fama-French Portfolios and Factors (via WRDS)

Overview

The Fama-French Portfolios are constructed from the intersections of two portfolios formed on size, as measured by market equity (ME), and three portfolios using, as proxy for value, the ratio of book equity to market equity (BE/ME). Returns from these portfolios are used to construct the Fama-French Factors.

 

Access

Federal Reserve Bank Reports (via WRDS)

Overview

The Federal Reserve Bank Reports contains three databases collected from Federal Reserve Banks. Two of them (Foreign Exchanges and Interest Rates) come from reports published for the Federal Reserve Board (H.10 and H.15 reports). The other one contains the Coincident State Indexes from the Federal Reserve Bank of Philadelphia.

 

Access

Fundata Mutual Fund Database MF (via CHASS)

Overview

The Fundata Mutual Fund Database includes information for over 4000 active funds from almost 200 sponsor companies. Information includes fund status, type, RRSP indicators, sales/redemption charge, currency, dividend frequency, management fees, expense ratios, and percentage foreign-invested.

 

Access

I/B/E/S Academic (via WRDS)

Overview

I/B/E/S Academic is a comprehensive expectation database and is ideal for research and back-testing of investment theories and proprietary models. It is a historical earnings estimate database containing analyst estimates for more than 20 forecast measures - including EPS (earnings per share), revenue, price targets, EBITDA and pre-tax profits - available on both consensus and detailed levels, covering both U.S. and international companies. The database also includes buy-hold-sell recommendations.

 

Documentation

 

Access

 

Statement of Conditions for Academic Users of I/B/E/S

Due to the value of the I/B/E/S ® database, we are required to protect its commercial viability. The conditions in this statement have been established solely to protect the commercial value of the I/B/E/S database and should in no way hinder your use of the data for academic research purposes. They will not restrict your conclusions or publication of your research findings in any academic journal.

1. I will retain direct control of the I/B/E/S data entrusted to me and any research output and conclusions drawn from the data. I will prevent any unauthorized copying, use, or distribution of the data and the analyses derived therefrom for any purpose.

a. I will not copy or redistribute the I/B/E/S data in any form without the written permission of Thomson Financial except as may be required to complete the proposed research project.

b. My research cannot be designed, undertaken or utilized for any commercial purpose, either direct or indirect, without the written permission of Thomson Financial.

c. I am responsible for the security and use of the data provided to me for my research use. (Note that access by colleagues or co-authors, unless authorized in writing by Thomson Financial constitutes a breach of security and violates the conditions).

d. My research and the resulting research analyses, in working paper or other written form, will not be given to anyone who may use my analyses for commercial purpose without permission of Thomson Financial. This does not limit my right to submit my research paper (after I have provided it to Thomson Financial) for publication in professional journals.

e. Should I plan to use the I/B/E/S data in projects not described in my initial application, I will provide Thomson Financial with a new research proposal. I will not proceed with the research until written authorization is received from Thomson Financial.

f. I will return the data upon completion of my research project.

2. I will not redistribute any I/B/E/S data to any third party, including other researchers, without Thomson Financial��s specific written permission.

3. I will advise Thomson Financial of all individuals who will, during the course of my research, have access to the I/B/E/S data files.

a. This stipulation covers research assistants, colleagues and any other people who will participate in the project for which I am authorized to use the data. Each person who will have access to I/B/E/S data must sign the conditions statement.

b. Unless authorized, I may not share access to the I/B/E/S data with individuals or organizations not associated with my project.

4. I will supply Thomson Financial with complete copies of any research or working papers (draft or final) that result from my use of I/B/E/S data. Thomson Financial will be entitled to distribute paper reprints or electronic versions (such as CD-ROM) of such papers to clients, prospective clients and people in the academic community.

a. I agree to send copies in a timely manner of all papers that are to be distributed to colleagues. Thus, Thomson Financial will receive copies of papers while they are still in a preliminary or draft form. Thomson Financial. will be among the first to receive any research output.

b. Although I am required to send copies of my work to your firm, my research and papers remain my property. I understand that Thomson Financial claims no proprietary rights over the work executed under its academic program.

c. If the paper that I have provided is not yet ready for general circulation, I will mark the copy "Please do not distribute without requesting permission from the author(s)".

5. In addition to supplying Thomson Financial with written materials, I will make every effort to fully share my findings and methodology, including meeting with Thomson Financial representatives, if requested by the firm. I will make available any research materials utilized in the study.

6. As is traditional in the research process, I/B/E/S and Thomson Financial will receive direct and appropriate attribution in any written or oral presentations which make use of the data. It will be incumbent on me to provide a copy of the specific language referencing I/B/E/S and Thomson Financial prior to any direct reference to or other planned use of the I/B/E/S data.

The citation will include information stating that the Institutional Brokers Estimate System (I/B/E/S) is a service of Thomson Financial and that the data has been provided as part of a broad academic program to encourage earnings expectations research.

This agreement shall be governed by and interpreted pursuant to the laws of the State of New York and the courts of the State of New York. I acknowledge that the courts of the State of New York shall have exclusive jurisdiction over all disputes arising hereunder or related hereto.

Thomson Financial shall, at its sole cost and expense, indemnify and hold the University harmless from and against any claims or action brought against them that may result by reason of infringement, or claim of infringement, of any United States patent, copyright, or other proprietary rights of any third party based upon the use, or potential use, or installation of the data base delivered by Thomson Financial to the University, provided the University notifies Thomson Financial promptly and in writing of such claim or action.

I understand that I/B/E/S is a valuable database belonging to Thomson Financial and that these conditions are established to protect the commercial value of I/B/E/S and are in no way intended to hinder the use of the data for legitimate research purposes. Nor are they meant to infringe on the publication in any professional journal of any conclusions derived from the I/B/E/S data.

 

Suggested Citation

As an acknowledgment of Thomson Financial’s contribution to your research, to which you agreed in the "Statement of Conditions for Academic Users of I/B/E/S," the following citation is suggested:

 

The author gratefully acknowledges the contribution of Thomson Financial for providing earnings per share forecast data, available through the Institutional Brokers Estimate System. This data has been provided as part of a broad academic program to encourage earnings expectations research.

 

Thomson Financial needs any completed or updated papers for your projects (electronically). You agreed to send the Thomson Financial papers at all stages of your progress in the Statement of Conditions. Please indicate on the cover page if you do not want your work distributed or quoted.

I/B/E/S Guidance (via WRDS)

Overview

I/B/E/S Guidance is a related but separate product from Thomson Reuters that includes management predictions about their own company (as opposed to the opinions of 3rd party analysts). It includes information previously available in the Company Issued Guidance (CIG) file in base I/B/E/S and information from the defunct First Call database

 

Documentation

 

Access

 

Statement of Conditions for Academic Users of I/B/E/S

Due to the value of the I/B/E/S ® database, we are required to protect its commercial viability. The conditions in this statement have been established solely to protect the commercial value of the I/B/E/S database and should in no way hinder your use of the data for academic research purposes. They will not restrict your conclusions or publication of your research findings in any academic journal.

1. I will retain direct control of the I/B/E/S data entrusted to me and any research output and conclusions drawn from the data. I will prevent any unauthorized copying, use, or distribution of the data and the analyses derived therefrom for any purpose.

a. I will not copy or redistribute the I/B/E/S data in any form without the written permission of Thomson Financial except as may be required to complete the proposed research project.

b. My research cannot be designed, undertaken or utilized for any commercial purpose, either direct or indirect, without the written permission of Thomson Financial.

c. I am responsible for the security and use of the data provided to me for my research use. (Note that access by colleagues or co-authors, unless authorized in writing by Thomson Financial constitutes a breach of security and violates the conditions).

d. My research and the resulting research analyses, in working paper or other written form, will not be given to anyone who may use my analyses for commercial purpose without permission of Thomson Financial. This does not limit my right to submit my research paper (after I have provided it to Thomson Financial) for publication in professional journals.

e. Should I plan to use the I/B/E/S data in projects not described in my initial application, I will provide Thomson Financial with a new research proposal. I will not proceed with the research until written authorization is received from Thomson Financial.

f. I will return the data upon completion of my research project.

2. I will not redistribute any I/B/E/S data to any third party, including other researchers, without Thomson Financial��s specific written permission.

3. I will advise Thomson Financial of all individuals who will, during the course of my research, have access to the I/B/E/S data files.

a. This stipulation covers research assistants, colleagues and any other people who will participate in the project for which I am authorized to use the data. Each person who will have access to I/B/E/S data must sign the conditions statement.

b. Unless authorized, I may not share access to the I/B/E/S data with individuals or organizations not associated with my project.

4. I will supply Thomson Financial with complete copies of any research or working papers (draft or final) that result from my use of I/B/E/S data. Thomson Financial will be entitled to distribute paper reprints or electronic versions (such as CD-ROM) of such papers to clients, prospective clients and people in the academic community.

a. I agree to send copies in a timely manner of all papers that are to be distributed to colleagues. Thus, Thomson Financial will receive copies of papers while they are still in a preliminary or draft form. Thomson Financial. will be among the first to receive any research output.

b. Although I am required to send copies of my work to your firm, my research and papers remain my property. I understand that Thomson Financial claims no proprietary rights over the work executed under its academic program.

c. If the paper that I have provided is not yet ready for general circulation, I will mark the copy "Please do not distribute without requesting permission from the author(s)".

5. In addition to supplying Thomson Financial with written materials, I will make every effort to fully share my findings and methodology, including meeting with Thomson Financial representatives, if requested by the firm. I will make available any research materials utilized in the study.

6. As is traditional in the research process, I/B/E/S and Thomson Financial will receive direct and appropriate attribution in any written or oral presentations which make use of the data. It will be incumbent on me to provide a copy of the specific language referencing I/B/E/S and Thomson Financial prior to any direct reference to or other planned use of the I/B/E/S data.

The citation will include information stating that the Institutional Brokers Estimate System (I/B/E/S) is a service of Thomson Financial and that the data has been provided as part of a broad academic program to encourage earnings expectations research.

This agreement shall be governed by and interpreted pursuant to the laws of the State of New York and the courts of the State of New York. I acknowledge that the courts of the State of New York shall have exclusive jurisdiction over all disputes arising hereunder or related hereto.

Thomson Financial shall, at its sole cost and expense, indemnify and hold the University harmless from and against any claims or action brought against them that may result by reason of infringement, or claim of infringement, of any United States patent, copyright, or other proprietary rights of any third party based upon the use, or potential use, or installation of the data base delivered by Thomson Financial to the University, provided the University notifies Thomson Financial promptly and in writing of such claim or action.

I understand that I/B/E/S is a valuable database belonging to Thomson Financial and that these conditions are established to protect the commercial value of I/B/E/S and are in no way intended to hinder the use of the data for legitimate research purposes. Nor are they meant to infringe on the publication in any professional journal of any conclusions derived from the I/B/E/S data.

 

Suggested Citation

 

As an acknowledgment of Thomson Financial’s contribution to your research, to which you agreed in the "Statement of Conditions for Academic Users of I/B/E/S," the following citation is suggested:

 

The author gratefully acknowledges the contribution of Thomson Financial for providing earnings per share forecast data, available through the Institutional Brokers Estimate System. This data has been provided as part of a broad academic program to encourage earnings expectations research.

 

Thomson Financial needs any completed or updated papers for your projects (electronically). You agreed to send the Thomson Financial papers at all stages of your progress in the Statement of Conditions. Please indicate on the cover page if you do not want your work distributed or quoted.

I/B/E/S KPI (via WRDS)

Overview

I/B/E/S KPI is the latest data addition from Thomson Reuters on the WRDS platform. This data package contains information on both detail and summary level of estimates, in addition to the actuals data for both U.S. and international companies. As it is part of the Thomson Reuters data family, KPI data shares the usual I/B/E/S style files structure as well.

 

Documentation

 

Access

 

Statement of Conditions for Academic Users of I/B/E/S

Due to the value of the I/B/E/S ® database, we are required to protect its commercial viability. The conditions in this statement have been established solely to protect the commercial value of the I/B/E/S database and should in no way hinder your use of the data for academic research purposes. They will not restrict your conclusions or publication of your research findings in any academic journal.

1. I will retain direct control of the I/B/E/S data entrusted to me and any research output and conclusions drawn from the data. I will prevent any unauthorized copying, use, or distribution of the data and the analyses derived therefrom for any purpose.

a. I will not copy or redistribute the I/B/E/S data in any form without the written permission of Thomson Financial except as may be required to complete the proposed research project.

b. My research cannot be designed, undertaken or utilized for any commercial purpose, either direct or indirect, without the written permission of Thomson Financial.

c. I am responsible for the security and use of the data provided to me for my research use. (Note that access by colleagues or co-authors, unless authorized in writing by Thomson Financial constitutes a breach of security and violates the conditions).

d. My research and the resulting research analyses, in working paper or other written form, will not be given to anyone who may use my analyses for commercial purpose without permission of Thomson Financial. This does not limit my right to submit my research paper (after I have provided it to Thomson Financial) for publication in professional journals.

e. Should I plan to use the I/B/E/S data in projects not described in my initial application, I will provide Thomson Financial with a new research proposal. I will not proceed with the research until written authorization is received from Thomson Financial.

f. I will return the data upon completion of my research project.

2. I will not redistribute any I/B/E/S data to any third party, including other researchers, without Thomson Financial��s specific written permission.

3. I will advise Thomson Financial of all individuals who will, during the course of my research, have access to the I/B/E/S data files.

a. This stipulation covers research assistants, colleagues and any other people who will participate in the project for which I am authorized to use the data. Each person who will have access to I/B/E/S data must sign the conditions statement.

b. Unless authorized, I may not share access to the I/B/E/S data with individuals or organizations not associated with my project.

4. I will supply Thomson Financial with complete copies of any research or working papers (draft or final) that result from my use of I/B/E/S data. Thomson Financial will be entitled to distribute paper reprints or electronic versions (such as CD-ROM) of such papers to clients, prospective clients and people in the academic community.

a. I agree to send copies in a timely manner of all papers that are to be distributed to colleagues. Thus, Thomson Financial will receive copies of papers while they are still in a preliminary or draft form. Thomson Financial. will be among the first to receive any research output.

b. Although I am required to send copies of my work to your firm, my research and papers remain my property. I understand that Thomson Financial claims no proprietary rights over the work executed under its academic program.

c. If the paper that I have provided is not yet ready for general circulation, I will mark the copy "Please do not distribute without requesting permission from the author(s)".

5. In addition to supplying Thomson Financial with written materials, I will make every effort to fully share my findings and methodology, including meeting with Thomson Financial representatives, if requested by the firm. I will make available any research materials utilized in the study.

6. As is traditional in the research process, I/B/E/S and Thomson Financial will receive direct and appropriate attribution in any written or oral presentations which make use of the data. It will be incumbent on me to provide a copy of the specific language referencing I/B/E/S and Thomson Financial prior to any direct reference to or other planned use of the I/B/E/S data.

The citation will include information stating that the Institutional Brokers Estimate System (I/B/E/S) is a service of Thomson Financial and that the data has been provided as part of a broad academic program to encourage earnings expectations research.

This agreement shall be governed by and interpreted pursuant to the laws of the State of New York and the courts of the State of New York. I acknowledge that the courts of the State of New York shall have exclusive jurisdiction over all disputes arising hereunder or related hereto.

Thomson Financial shall, at its sole cost and expense, indemnify and hold the University harmless from and against any claims or action brought against them that may result by reason of infringement, or claim of infringement, of any United States patent, copyright, or other proprietary rights of any third party based upon the use, or potential use, or installation of the data base delivered by Thomson Financial to the University, provided the University notifies Thomson Financial promptly and in writing of such claim or action.

I understand that I/B/E/S is a valuable database belonging to Thomson Financial and that these conditions are established to protect the commercial value of I/B/E/S and are in no way intended to hinder the use of the data for legitimate research purposes. Nor are they meant to infringe on the publication in any professional journal of any conclusions derived from the I/B/E/S data.

 

Suggested Citation

 

As an acknowledgment of Thomson Financial’s contribution to your research, to which you agreed in the "Statement of Conditions for Academic Users of I/B/E/S," the following citation is suggested:

 

The author gratefully acknowledges the contribution of Thomson Financial for providing earnings per share forecast data, available through the Institutional Brokers Estimate System. This data has been provided as part of a broad academic program to encourage earnings expectations research.

 

Thomson Financial needs any completed or updated papers for your projects (electronically). You agreed to send the Thomson Financial papers at all stages of your progress in the Statement of Conditions. Please indicate on the cover page if you do not want your work distributed or quoted.

IHS Global Insight (via WRDS)

Overview

IHS Global Insight offers the most comprehensive economic coverage of countries, regions and industries available from any source. Their collection of U.S. and international financial, economic and industry data is complimented by more than 225 analysts, researchers and economists whose expertise covers over 120 industries and 200 countries.

 

Access

Institute for the Study of Security Markets ISSM

Overview

The Institute for the Study of Security Markets (ISSM) database contains tick-by-tick data covering the NYSE and AMEX between 1983 and 1992, and NASDAQ between 1987 and 1992. Each year of data is divided into two files, one for trades and one for quotes. Data available under consolidated trades: actual trade per share, trade condition code, originating exchange, present exchange, numbers of shares traded.

 

Access

Institutional Shareholders Services ISS (via WRDS)

Overview

ISS provides several key financial datasets, delivering insights to help researchers examine governance risk and understand key issues or trends in the areas of board, compensation, shareholder proposals, institutional voting records and shareholder meeting results.

 

Access

Markit (via WRDS)

Overview

Markit Pricing Data offers live, snapped and end-of-day price updates for approximately 2,600 CDS entities and all the major credit indices, CDX and iTraxx. Markit also delivers a suite of value-added CDS services to provide greater transparency into the marketplace.

 

Access

Mergent Fixed Income Securities Database FISD (via WRDS)

Overview

The Mergent Fixed Income Securities Database (FISD) for academia is a comprehensive database of publicly-offered U.S. bonds. Along with the FISD bond data, you will receive historical NAICs pricing data. The product has been customized so that it can be accessed using SAS Academic System, FTP or CD-ROM.

 

Issuer specific information available:

    • Industry codes, S.I.C. codes and N.A.I.C.S. codes
    • Ticker and exchange listings
    • Issuer names and parent relationships
    • Bankruptcy and default detail

 

Issue specific data includes available:

    • Full call, put and sinking fund schedules and call frequency codes
    • Structured security flags and detailed information
    • Floating rate formulas, current rates and coupon schedules
    • Fitch IBCA, Moody's, S&P; and Duff & Phelps credit ratings
    • U.S. Treasury auction information
    • Convertible debt information
    • Underwriters, trustees and fiscal agents
    • Unit deals and warrant information

 

Transaction information available:

    • All bond acquisitions reported since 1994 by insurance companies
    • All bond disposals (sales, redemptions) since 1995 by insurance companies

 

Access

Click here to request access

MFLINKS (via WRDS)

Overview

MFLINKS has been developed with Professor Russ Wermers (University of Maryland's Robert H. Smith School of Business) as a contributor and ongoing consultant to the project. A good example of how MFLINKS can be used is his article, "Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses" (Journal of Finance, 2000) that decomposes mutual fund performance into its various components based upon actual holdings.

 

Access

NYSE Trade and Quote TAQ (via WRDS)

Overview

The New York Stock Exchange (NYSE) Trade and Quote (TAQ) database covers Intraday transactions data (trades and quotes) for all securities listed on the New York Stock Exchange (NYSE) and American Stock Exchange (AMEX), as well as Nasdaq National Market System (NMS) and SmallCap issues from 1993 - 2003.

 

Access

OptionMetrics Ivy DB (via WRDS)

Overview

Ivy DB is the first widely available, comprehensive source of high-quality historical price and implied volatility data for the US equity and index options markets. Encompassing more than ten years of data, Ivy DB contains accurate historical prices of options and their associated underlying instruments, correctly calculated implied volatilities, and option sensitivities. With Ivy DB, you will be able to backtest trading strategies, evaluate risk models, and perform sophisticated research on all aspects of options investment.

 

Features

    1. Comprehensive coverage
    2. Prices, Adjusted Returns, Dividends, and Corporate Actions
    3. Implied Volatility and Sensitivities
    4. Option Price Continuity
    5. Timely updates
    6. Volatility Surface

 

Access

Penn World Table PWT (via CHASS)

Overview

The Penn World Table (PWT) displays a set of national accounts economic time series covering many countries. Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates.

 

Access

Click here to access the resource

Penn World Tables (via WRDS)

Overview

The Penn World Tables provides national income accounts-type of variables converted to international prices. The homogenization of national accounts to a common numeraire allows valid comparisons of income among countries. Data comes from Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 6.1, Center for International Comparisons at the University of Pennsylvania, October 2002.

 

Access

RavenPack (via WRDS)

Overview

RavenPack News Analytics (RPNA) provides real-time structured sentiment, relevance and novelty data for entities and events detected in the unstructured text published by reputable content sources. Publishers include Dow Jones Newswires, the Wall Street Journal and over 19,000 other traditional and social media sites. RavenPack News Analytics is used to enhance returns or improve efficiency by quantitative & algorithmic traders, automated market-makers, portfolio managers, risk managers and surveillance analysts. Over 16 years of millisecond time-stamped data is available for backtesting.

 

Access

S&P Compustat (via WRDS)

Overview

Compustat North America is a database of U.S. and Canadian fundamental and market information on more than 24,000 active and inactive publicly held companies. It provides more than 300 annual and 100 quarterly Income Statement, Balance Sheet, Statement of Cash Flows, and supplemental data items.

 

Guides

 

Access

S&P Market Intelligence - People Intelligence (via WRDS)

Overview

Capital IQ People Intelligence covers over 4.5 million professionals and over 2.4 million people including private and public company executives, board members, and investment professionals, globally. Each professional in the Capital IQ database has a distinct profile which can include contact details, biography, education, job functions and titles, board memberships, compensation, insider activity, and options holdings.

 

Access

Survey Documentation and Analysis SDA (via CHASS)

Overview

UT/DLS: Microdata Analysis and Subsetting provides interactive access to a growing list of selected microdata files via Berkeley's software SDA (Survey Documentation and Analysis).

 

Access

Click here to access the resource

Thomson/Refinitiv 13F Ownership (via WRDS)

Overview

Thomson-Reuters Institutional Holdings (13F) Database provides Institutional Common Stock Holdings and Transactions, as reported on Form 13F filed with the SEC. This database is formerly known as CDA/Spectrum 3 4 database, and contains ownership information by institutional managers with $100 million or more in Assets Under Management.

 

Access

Thomson/Refinitiv Dealscan (via WRDS)

Overview

The world’s pre-eminent source for extensive and reliable information on the global syndicated bank loan market, this robust database contains detailed terms and conditions on over 240,000 loan transactions.

 

Access

Thomson/Refinitiv Insider Filing Data (via WRDS)

Overview

Capture all U.S. insider activity as reported on Forms 3, 4, 5, and 144 in line-by-line detail.

 

Access

Thomson/Refinitiv Ownership (via WRDS)

Overview

Thomson Reuters Global Ownership provides access to a comprehensive collection of global equity ownership data for institutions, mutual funds and insiders. Ownership coverage spans institutions, mutual, pension, and insurance funds, insiders and declarable stakes holders and U.K. share registers for securities trading in more than 70 countries.

 

Access

TRACE OTC (via WRDS)

Overview

TRACE consolidates transaction data for all eligible corporate bonds - investment grade, high yield and convertible debt. As a result, individual investors and market professionals can access information on 100 percent of OTC activity representing over 99 percent of total U.S. corporate bond market activity in over 30,000 securities.

 

Access

Trade Analyser (via CHASS)

Overview

The Trade Analyser provides web interfaces for Canadian trade data and World trade data produced by Statistics Canada, International Trade Division.

 

Access

Click here to access the resource

TSX eReviews (via CHASS)

Overview

The TSX eReview and TSX Venture eReview are monthly PDF publications produced by TSX Datalinx, an operating group of TMX Group Inc.

 

Access

Click here to access the resource

TSX Tick-by-Tick Market Data

Overview

The TSE Tick by Tick Market Data covers four months (March, April 2000; May, June 2001) of equity history for all stocks listed on the Toronto Stock Exchange. This includes intraday transaction data (trades and quotes) for these securities.

 

Access

If you already have an account: click here to access the resource

Additional Resources​

Milt Harris library Resources

Business Source PremierIBIS WorldPassport GMID
CB InsightsInvestextProQuest
CPA Canada Standards & GuidanceJSTORRisk.net
EIU ReportsKey Business RatiosSDC Platinum Global New Issues
eMarketerMarket Research.com AcademicSimplyAnalytics 
EMISMergentStatista
FactivaMergent ArchivesVault Career Insider
Frost & Sullivan NexisUni (LexisNexis) 
GartnerOECD Library 

 

Support

    • Lab Assistants are available for support in the Rotman FRT-Lab from Monday to Friday, 9:00 AM to 5:00 PM, during the Fall 2022 Term.
    • If you did not find what you are looking for in the above resource list, please contact us.

    Name
    Email
    Subject
    Message