Subject & Research Guides: Finance & Management Science: Find Books

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New Books at the Library
Explore books recently added to the Library’s collection. Updated monthly.

You can also browse the shelves in the call number ranges shown below:

HA Statistics

HG Finance

HG 178 Liquidity

HG 179 Personal finance

HG 1501-3550 Banking

HG 3691-3769 Credit. Debt. Loans

HG 3810-4000 Foreign exchange. International finance. International monetary system

HG 4001-4285 Finance management. Business finance. Corporation finance

HG 4501-6051 Investment, capital formation, speculation

HG 8011-9999 Insurance

HJ Public finance

Borrow from Other Libraries (Document Delivery Services)
Information on borrowing items from other Novanet libraries, and items from outside the Novanet library system.
SMU WorldCat: A Brief Guide
Information on borrowing items from the WorldCat online worldwide catalogue.

eBooks

Did you know that in addition to our print collection, the library also has many thousands of eBooks, including scholarly books, on a wide range of topics? You can find both eBooks and print books via searching the Novanet catalogue. All of our eBooks are listed in the catalogue. You can also search for eBooks directly in one of our eBook databases. There are several options for accessing and downloading eBooks. As a SMU student, staff, or faculty member, you have complete access to eBooks on and off campus.

Applications of Operations Research and Management Science by G. S. R. Murthy
Publication Date: 2015

This book includes case studies that examine the application of operations research to improve or increase efficiency in industry and operational activities. This collection of "living case studies" is all based on the author's 30-year career of consulting and advisory work.
Foreign Exchange Rates and International Finance by John N. Kallianiotis
Publication Date: 2019-09-26

This book deals with international finance and the role of the foreign exchange rates in our economies. It is constituted from twelve chapters, from the history of our monetary system to the balance of payments and from the exchange rates to multinational businesses and their management.
Quantitative Investment Analysis by CFA Institute
Publication Date: 2020-09-16

This edition expands coverage of Machine Learning algorithms and the role of Big Data in an investment context along with capstone chapters in applying these techniques to factor modeling, risk management and backtesting and simulation in investment strategies.

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Using Novanet Guide (PDF)
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